importance of students research paper

ORIGINAL RESEARCH article

The importance of students’ motivation for their academic achievement – replicating and extending previous findings.

• 1 Department of Psychology, TU Dortmund University, Dortmund, Germany
• 2 Department of Psychology, Philipps-Universität Marburg, Marburg, Germany
• 3 Department of Psychology, Heidelberg University, Heidelberg, Germany

Achievement motivation is not a single construct but rather subsumes a variety of different constructs like ability self-concepts, task values, goals, and achievement motives. The few existing studies that investigated diverse motivational constructs as predictors of school students’ academic achievement above and beyond students’ cognitive abilities and prior achievement showed that most motivational constructs predicted academic achievement beyond intelligence and that students’ ability self-concepts and task values are more powerful in predicting their achievement than goals and achievement motives. The aim of the present study was to investigate whether the reported previous findings can be replicated when ability self-concepts, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria (e.g., hope for success in math and math grades). The sample comprised 345 11th and 12th grade students ( M = 17.48 years old, SD = 1.06) from the highest academic track (Gymnasium) in Germany. Students self-reported their ability self-concepts, task values, goal orientations, and achievement motives in math, German, and school in general. Additionally, we assessed their intelligence and their current and prior Grade point average and grades in math and German. Relative weight analyses revealed that domain-specific ability self-concept, motives, task values and learning goals but not performance goals explained a significant amount of variance in grades above all other predictors of which ability self-concept was the strongest predictor. Results are discussed with respect to their implications for investigating motivational constructs with different theoretical foundation.

Introduction

Achievement motivation energizes and directs behavior toward achievement and therefore is known to be an important determinant of academic success (e.g., Robbins et al., 2004 ; Hattie, 2009 ; Plante et al., 2013 ; Wigfield et al., 2016 ). Achievement motivation is not a single construct but rather subsumes a variety of different constructs like motivational beliefs, task values, goals, and achievement motives (see Murphy and Alexander, 2000 ; Wigfield and Cambria, 2010 ; Wigfield et al., 2016 ). Nevertheless, there is still a limited number of studies, that investigated (1) diverse motivational constructs in relation to students’ academic achievement in one sample and (2) additionally considered students’ cognitive abilities and their prior achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Because students’ cognitive abilities and their prior achievement are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ), it is necessary to include them in the analyses when evaluating the importance of motivational factors for students’ achievement. Steinmayr and Spinath (2009) did so and revealed that students’ domain-specific ability self-concepts followed by domain-specific task values were the best predictors of students’ math and German grades compared to students’ goals and achievement motives. However, a flaw of their study is that they did not assess all motivational constructs at the same level of specificity as the achievement criteria. For example, achievement motives were measured on a domain-general level (e.g., “Difficult problems appeal to me”), whereas students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values). The importance of students’ achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). The aim of the present study was to investigate whether the seminal findings by Steinmayr and Spinath (2009) will hold when motivational beliefs, task values, goals, and achievement motives are all assessed at the same level of specificity as the achievement criteria. This is an important question with respect to motivation theory and future research in this field. Moreover, based on the findings it might be possible to better judge which kind of motivation should especially be fostered in school to improve achievement. This is important information for interventions aiming at enhancing students’ motivation in school.

Theoretical Relations Between Achievement Motivation and Academic Achievement

We take a social-cognitive approach to motivation (see also Pintrich et al., 1993 ; Elliot and Church, 1997 ; Wigfield and Cambria, 2010 ). This approach emphasizes the important role of students’ beliefs and their interpretations of actual events, as well as the role of the achievement context for motivational dynamics (see Weiner, 1992 ; Pintrich et al., 1993 ; Wigfield and Cambria, 2010 ). Social cognitive models of achievement motivation (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; hierarchical model of achievement motivation by Elliot and Church, 1997 ) comprise a variety of motivation constructs that can be organized in two broad categories (see Pintrich et al., 1993 , p. 176): students’ “beliefs about their capability to perform a task,” also called expectancy components (e.g., ability self-concepts, self-efficacy), and their “motivational beliefs about their reasons for choosing to do a task,” also called value components (e.g., task values, goals). The literature on motivation constructs from these categories is extensive (see Wigfield and Cambria, 2010 ). In this article, we focus on selected constructs, namely students’ ability self-concepts (from the category “expectancy components of motivation”), and their task values and goal orientations (from the category “value components of motivation”).

According to the social cognitive perspective, students’ motivation is relatively situation or context specific (see Pintrich et al., 1993 ). To gain a comprehensive picture of the relation between students’ motivation and their academic achievement, we additionally take into account a traditional personality model of motivation, the theory of the achievement motive ( McClelland et al., 1953 ), according to which students’ motivation is conceptualized as a relatively stable trait. Thus, we consider the achievement motives hope for success and fear of failure besides students’ ability self-concepts, their task values, and goal orientations in this article. In the following, we describe the motivation constructs in more detail.

Students’ ability self-concepts are defined as cognitive representations of their ability level ( Marsh, 1990 ; Wigfield et al., 2016 ). Ability self-concepts have been shown to be domain-specific from the early school years on (e.g., Wigfield et al., 1997 ). Consequently, they are frequently assessed with regard to a certain domain (e.g., with regard to school in general vs. with regard to math).

In the present article, task values are defined in the sense of the expectancy-value model by Eccles et al. (1983) and Eccles and Wigfield (2002) . According to the expectancy-value model there are three task values that should be positively associated with achievement, namely intrinsic values, utility value, and personal importance ( Eccles and Wigfield, 1995 ). Because task values are domain-specific from the early school years on (e.g., Eccles et al., 1993 ; Eccles and Wigfield, 1995 ), they are also assessed with reference to specific subjects (e.g., “How much do you like math?”) or on a more general level with regard to school in general (e.g., “How much do you like going to school?”).

Students’ goal orientations are broader cognitive orientations that students have toward their learning and they reflect the reasons for doing a task (see Dweck and Leggett, 1988 ). Therefore, they fall in the broad category of “value components of motivation.” Initially, researchers distinguished between learning and performance goals when describing goal orientations ( Nicholls, 1984 ; Dweck and Leggett, 1988 ). Learning goals (“task involvement” or “mastery goals”) describe people’s willingness to improve their skills, learn new things, and develop their competence, whereas performance goals (“ego involvement”) focus on demonstrating one’s higher competence and hiding one’s incompetence relative to others (e.g., Elliot and McGregor, 2001 ). Performance goals were later further subdivided into performance-approach (striving to demonstrate competence) and performance-avoidance goals (striving to avoid looking incompetent, e.g., Elliot and Church, 1997 ; Middleton and Midgley, 1997 ). Some researchers have included work avoidance as another component of achievement goals (e.g., Nicholls, 1984 ; Harackiewicz et al., 1997 ). Work avoidance refers to the goal of investing as little effort as possible ( Kumar and Jagacinski, 2011 ). Goal orientations can be assessed in reference to specific subjects (e.g., math) or on a more general level (e.g., in reference to school in general).

McClelland et al. (1953) distinguish the achievement motives hope for success (i.e., positive emotions and the belief that one can succeed) and fear of failure (i.e., negative emotions and the fear that the achievement situation is out of one’s depth). According to McClelland’s definition, need for achievement is measured by describing affective experiences or associations such as fear or joy in achievement situations. Achievement motives are conceptualized as being relatively stable over time. Consequently, need for achievement is theorized to be domain-general and, thus, usually assessed without referring to a certain domain or situation (e.g., Steinmayr and Spinath, 2009 ). However, Sparfeldt and Rost (2011) demonstrated that operationalizing achievement motives subject-specifically is psychometrically useful and results in better criterion validities compared with a domain-general operationalization.

Empirical Evidence on the Relative Importance of Achievement Motivation Constructs for Academic Achievement

A myriad of single studies (e.g., Linnenbrink-Garcia et al., 2018 ; Muenks et al., 2018 ; Steinmayr et al., 2018 ) and several meta-analyses (e.g., Robbins et al., 2004 ; Möller et al., 2009 ; Hulleman et al., 2010 ; Huang, 2011 ) support the hypothesis of social cognitive motivation models that students’ motivational beliefs are significantly related to their academic achievement. However, to judge the relative importance of motivation constructs for academic achievement, studies need (1) to investigate diverse motivational constructs in one sample and (2) to consider students’ cognitive abilities and their prior achievement, too, because the latter are among the best single predictors of academic success (e.g., Kuncel et al., 2004 ; Hailikari et al., 2007 ). For effective educational policy and school reform, it is crucial to obtain robust empirical evidence for whether various motivational constructs can explain variance in school performance over and above intelligence and prior achievement. Without including the latter constructs, we might overestimate the importance of motivation for achievement. Providing evidence that students’ achievement motivation is incrementally valid in predicting their academic achievement beyond their intelligence or prior achievement would emphasize the necessity of designing appropriate interventions for improving students’ school-related motivation.

There are several studies that included expectancy and value components of motivation as predictors of students’ academic achievement (grades or test scores) and additionally considered students’ prior achievement ( Marsh et al., 2005 ; Steinmayr et al., 2018 , Study 1) or their intelligence ( Spinath et al., 2006 ; Lotz et al., 2018 ; Schneider et al., 2018 ; Steinmayr et al., 2018 , Study 2, Weber et al., 2013 ). However, only few studies considered intelligence and prior achievement together with more than two motivational constructs as predictors of school students’ achievement ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). Kriegbaum et al. (2015) examined two expectancy components (i.e., ability self-concept and self-efficacy) and eight value components (i.e., interest, enjoyment, usefulness, learning goals, performance-approach, performance-avoidance goals, and work avoidance) in the domain of math. Steinmayr and Spinath (2009) investigated the role of an expectancy component (i.e., ability self-concept), five value components (i.e., task values, learning goals, performance-approach, performance-avoidance goals, and work avoidance), and students’ achievement motives (i.e., hope for success, fear of failure, and need for achievement) for students’ grades in math and German and their GPA. Both studies used relative weights analyses to compare the predictive power of all variables simultaneously while taking into account multicollinearity of the predictors ( Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Findings showed that – after controlling for differences in students‘ intelligence and their prior achievement – expectancy components (ability self-concept, self-efficacy) were the best motivational predictors of achievement followed by task values (i.e., intrinsic/enjoyment, attainment, and utility), need for achievement and learning goals ( Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ). However, Steinmayr and Spinath (2009) who investigated the relations in three different domains did not assess all motivational constructs on the same level of specificity as the achievement criteria. More precisely, students’ achievement as well as motivational beliefs and task values were assessed domain-specifically (e.g., math grades, math self-concept, math task values), whereas students’ goals were only measured for school in general (e.g., “In school it is important for me to learn as much as possible”) and students’ achievement motives were only measured on a domain-general level (e.g., “Difficult problems appeal to me”). Thus, the importance of goals and achievement motives for math and German grades might have been underestimated because the specificity levels of predictor and criterion variables did not match (e.g., Ajzen and Fishbein, 1977 ; Baranik et al., 2010 ). Assessing students’ goals and their achievement motives with reference to a specific subject might result in higher associations with domain-specific achievement criteria (see Sparfeldt and Rost, 2011 ).

Taken together, although previous work underlines the important roles of expectancy and value components of motivation for school students’ academic achievement, hitherto, we know little about the relative importance of expectancy components, task values, goals, and achievement motives in different domains when all of them are assessed at the same level of specificity as the achievement criteria (e.g., achievement motives in math → math grades; ability self-concept for school → GPA).

The Present Research

The goal of the present study was to examine the relative importance of several of the most important achievement motivation constructs in predicting school students’ achievement. We substantially extend previous work in this field by considering (1) diverse motivational constructs, (2) students’ intelligence and their prior achievement as achievement predictors in one sample, and (3) by assessing all predictors on the same level of specificity as the achievement criteria. Moreover, we investigated the relations in three different domains: school in general, math, and German. Because there is no study that assessed students’ goal orientations and achievement motives besides their ability self-concept and task values on the same level of specificity as the achievement criteria, we could not derive any specific hypotheses on the relative importance of these constructs, but instead investigated the following research question (RQ):

RQ. What is the relative importance of students’ domain-specific ability self-concepts, task values, goal orientations, and achievement motives for their grades in the respective domain when including all of them, students’ intelligence and prior achievement simultaneously in the analytic models?

Materials and Methods

Participants and procedure.

A sample of 345 students was recruited from two German schools attending the highest academic track (Gymnasium). Only 11th graders participated at one school, whereas 11th and 12th graders participated at the other. Students of the different grades and schools did not differ significantly on any of the assessed measures. Students represented the typical population of this type of school in Germany; that is, the majority was Caucasian and came from medium to high socioeconomic status homes. At the time of testing, students were on average 17.48 years old ( SD = 1.06). As is typical for this kind of school, the sample comprised more girls ( n = 200) than boys ( n = 145). We verify that the study is in accordance with established ethical guidelines. Approval by an ethics committee was not required as per the institution’s guidelines and applicable regulations in the federal state where the study was conducted. Participation was voluntarily and no deception took place. Before testing, we received written informed consent forms from the students and from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. Testing took place during regular classes in schools in 2013. Tests were administered by trained research assistants and lasted about 2.5 h. Students filled in the achievement motivation questionnaires first, and the intelligence test was administered afterward. Before the intelligence test, there was a short break.

Ability Self-Concept

Students’ ability self-concepts were assessed with four items per domain ( Schöne et al., 2002 ). Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how good they thought they were at different activities in school in general, math, and German (“I am good at school in general/math/German,” “It is easy to for me to learn in school in general/math/German,” “In school in general/math/German, I know a lot,” and “Most assignments in school/math/German are easy for me”). Internal consistency (Cronbach’s α) of the ability self-concept scale was high in school in general, in math, and in German (0.82 ≤ α ≤ 0.95; see Table 1 ).

Table 1. Means ( M ), Standard Deviations ( SD ), and Reliabilities (α) for all measures.

Task Values

Students’ task values were assessed with an established German scale (SESSW; Subjective scholastic value scale; Steinmayr and Spinath, 2010 ). The measure is an adaptation of items used by Eccles and Wigfield (1995) in different studies. It assesses intrinsic values, utility, and personal importance with three items each. Students indicated on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree) how much they valued school in general, math, and German (Intrinsic values: “I like school/math/German,” “I enjoy doing things in school/math/German,” and “I find school in general/math/German interesting”; Utility: “How useful is what you learn in school/math/German in general?,” “School/math/German will be useful in my future,” “The things I learn in school/math/German will be of use in my future life”; Personal importance: “Being good at school/math/German is important to me,” “To be good at school/math/German means a lot to me,” “Attainment in school/math/German is important to me”). Internal consistency of the values scale was high in all domains (0.90 ≤ α ≤ 0.93; see Table 1 ).

Goal Orientations

Students’ goal orientations were assessed with an established German self-report measure (SELLMO; Scales for measuring learning and achievement motivation; Spinath et al., 2002 ). In accordance with Sparfeldt et al. (2007) , we assessed goal orientations with regard to different domains: school in general, math, and German. In each domain, we used the SELLMO to assess students’ learning goals, performance-avoidance goals, and work avoidance with eight items each and their performance-approach goals with seven items. Students’ answered the items on a 5-point scale ranging from 1 (totally disagree) to 5 (totally agree). All items except for the work avoidance items are printed in Spinath and Steinmayr (2012) , p. 1148). A sample item to assess work avoidance is: “In school/math/German, it is important to me to do as little work as possible.” Internal consistency of the learning goals scale was high in all domains (0.83 ≤ α ≤ 0.88). The same was true for performance-approach goals (0.85 ≤ α ≤ 0.88), performance-avoidance goals (α = 0.89), and work avoidance (0.91 ≤ α ≤ 0.92; see Table 1 ).

Achievement Motives

Achievement motives were assessed with the Achievement Motives Scale (AMS; Gjesme and Nygard, 1970 ; Göttert and Kuhl, 1980 ). In the present study, we used a short form measuring “hope for success” and “fear of failure” with the seven items per subscale that showed the highest factor loadings. Both subscales were assessed in three domains: school in general, math, and German. Students’ answered all items on a 4-point scale ranging from 1 (does not apply at all) to 4 (fully applies). An example hope for success item is “In school/math/German, difficult problems appeal to me,” and an example fear of failure item is “In school/math/German, matters that are slightly difficult disconcert me.” Internal consistencies of hope for success and fear of failure scales were high in all domains (hope for success: 0.88 ≤ α ≤ 0.92; fear of failure: 0.90 ≤ α ≤ 0.91; see Table 1 ).

Intelligence

Intelligence was measured with the basic module of the Intelligence Structure Test 2000 R, a well-established German multifactor intelligence measure (I-S-T 2000 R; Amthauer et al., 2001 ). The basic module of the test offers assessments of domain-specific intelligence for verbal, numeric, and figural abilities as well as an overall intelligence score (a composite of the three facets). The overall intelligence score is thought to measure reasoning as a higher order factor of intelligence and can be interpreted as a measure of general intelligence, g . Its construct validity has been demonstrated in several studies ( Amthauer et al., 2001 ; Steinmayr and Amelang, 2006 ). In the present study, we used the scores that were closest to the domains we investigated: overall intelligence, numerical intelligence, and verbal intelligence (see also Steinmayr and Spinath, 2009 ). Raw values could range from 0 to 60 for verbal and numerical intelligence, and from 0 to 180 for overall intelligence. Internal consistencies of all intelligence scales were high (0.71 ≤ α ≤ 0.90; see Table 1 ).

Academic Achievement

For all students, the school delivered the report cards that the students received 3 months before testing (t0) and 4 months after testing (t2), at the end of the term in which testing took place. We assessed students’ grades in German and math as well as their overall grade point average (GPA) as criteria for school performance. GPA was computed as the mean of all available grades, not including grades in the nonacademic domains Sports and Music/Art as they did not correlate with the other grades. Grades ranged from 1 to 6, and were recoded so that higher numbers represented better performance.

Statistical Analyses

We conducted relative weight analyses to predict students’ academic achievement separately in math, German, and school in general. The relative weight analysis is a statistical procedure that enables to determine the relative importance of each predictor in a multiple regression analysis (“relative weight”) and to take adequately into account the multicollinearity of the different motivational constructs (for details, see Johnson and LeBreton, 2004 ; Tonidandel and LeBreton, 2011 ). Basically, it uses a variable transformation approach to create a new set of predictors that are orthogonal to one another (i.e., uncorrelated). Then, the criterion is regressed on these new orthogonal predictors, and the resulting standardized regression coefficients can be used because they no longer suffer from the deleterious effects of multicollinearity. These standardized regression weights are then transformed back into the metric of the original predictors. The rescaled relative weight of a predictor can easily be transformed into the percentage of variance that is uniquely explained by this predictor when dividing the relative weight of the specific predictor by the total variance explained by all predictors in the regression model ( R 2 ). We performed the relative weight analyses in three steps. In Model 1, we included the different achievement motivation variables assessed in the respective domain in the analyses. In Model 2, we entered intelligence into the analyses in addition to the achievement motivation variables. In Model 3, we included prior school performance indicated by grades measured before testing in addition to all of the motivation variables and intelligence. For all three steps, we tested for whether all relative weight factors differed significantly from each other (see Johnson, 2004 ) to determine which motivational construct was most important in predicting academic achievement (RQ).

Descriptive Statistics and Intercorrelations

Table 1 shows means, standard deviations, and reliabilities. Tables 2 –4 show the correlations between all scales in school in general, in math, and in German. Of particular relevance here, are the correlations between the motivational constructs and students’ school grades. In all three domains (i.e., school in general/math/German), out of all motivational predictor variables, students’ ability self-concepts showed the strongest associations with subsequent grades ( r = 0.53/0.61/0.46; see Tables 2 –4 ). Except for students’ performance-avoidance goals (−0.04 ≤ r ≤ 0.07, p > 0.05), the other motivational constructs were also significantly related to school grades. Most of the respective correlations were evenly dispersed around a moderate effect size of | r | = 0.30.

Table 2. Intercorrelations between all variables in school in general.

Table 3. Intercorrelations between all variables in math.

Table 4. Intercorrelations between all variables in German.

Relative Weight Analyses

Table 5 presents the results of the relative weight analyses. In Model 1 (only motivational variables) and Model 2 (motivation and intelligence), respectively, the overall explained variance was highest for math grades ( R 2 = 0.42 and R 2 = 0.42, respectively) followed by GPA ( R 2 = 0.30 and R 2 = 0.34, respectively) and grades in German ( R 2 = 0.26 and R 2 = 0.28, respectively). When prior school grades were additionally considered (Model 3) the largest amount of variance was explained in students’ GPA ( R 2 = 0.73), followed by grades in German ( R 2 = 0.59) and math ( R 2 = 0.57). In the following, we will describe the results of Model 3 for each domain in more detail.

Table 5. Relative weights and percentages of explained criterion variance (%) for all motivational constructs (Model 1) plus intelligence (Model 2) plus prior school achievement (Model 3).

Beginning with the prediction of students’ GPA: In Model 3, students’ prior GPA explained more variance in subsequent GPA than all other predictor variables (68%). Students’ ability self-concept explained significantly less variance than prior GPA but still more than all other predictors that we considered (14%). The relative weights of students’ intelligence (5%), task values (2%), hope for success (4%), and fear of failure (3%) did not differ significantly from each other but were still significantly different from zero ( p < 0.05). The relative weights of students’ goal orientations were not significant in Model 3.

Turning to math grades: The findings of the relative weight analyses for the prediction of math grades differed slightly from the prediction of GPA. In Model 3, the relative weights of numerical intelligence (2%) and performance-approach goals (2%) in math were no longer different from zero ( p > 0.05); in Model 2 they were. Prior math grades explained the largest share of the unique variance in subsequent math grades (45%), followed by math self-concept (19%). The relative weights of students’ math task values (9%), learning goals (5%), work avoidance (7%), and hope for success (6%) did not differ significantly from each other. Students’ fear of failure in math explained the smallest amount of unique variance in their math grades (4%) but the relative weight of students’ fear of failure did not differ significantly from that of students’ hope for success, work avoidance, and learning goals. The relative weights of students’ performance-avoidance goals were not significant in Model 3.

Turning to German grades: In Model 3, students’ prior grade in German was the strongest predictor (64%), followed by German self-concept (10%). Students’ fear of failure in German (6%), their verbal intelligence (4%), task values (4%), learning goals (4%), and hope for success (4%) explained less variance in German grades and did not differ significantly from each other but were significantly different from zero ( p < 0.05). The relative weights of students’ performance goals and work avoidance were not significant in Model 3.

In the present studies, we aimed to investigate the relative importance of several achievement motivation constructs in predicting students’ academic achievement. We sought to overcome the limitations of previous research in this field by (1) considering several theoretically and empirically distinct motivational constructs, (2) students’ intelligence, and their prior achievement, and (3) by assessing all predictors at the same level of specificity as the achievement criteria. We applied sophisticated statistical procedures to investigate the relations in three different domains, namely school in general, math, and German.

Relative Importance of Achievement Motivation Constructs for Academic Achievement

Out of the motivational predictor variables, students’ ability self-concepts explained the largest amount of variance in their academic achievement across all sets of analyses and across all investigated domains. Even when intelligence and prior grades were controlled for, students’ ability self-concepts accounted for at least 10% of the variance in the criterion. The relative superiority of ability self-perceptions is in line with the available literature on this topic (e.g., Steinmayr and Spinath, 2009 ; Kriegbaum et al., 2015 ; Steinmayr et al., 2018 ) and with numerous studies that have investigated the relations between students’ self-concept and their achievement (e.g., Möller et al., 2009 ; Huang, 2011 ). Ability self-concepts showed even higher relative weights than the corresponding intelligence scores. Whereas some previous studies have suggested that self-concepts and intelligence are at least equally important when predicting students’ grades (e.g., Steinmayr and Spinath, 2009 ; Weber et al., 2013 ; Schneider et al., 2018 ), our findings indicate that it might be even more important to believe in own school-related abilities than to possess outstanding cognitive capacities to achieve good grades (see also Lotz et al., 2018 ). Such a conclusion was supported by the fact that we examined the relative importance of all predictor variables across three domains and at the same levels of specificity, thus maximizing criterion-related validity (see Baranik et al., 2010 ). This procedure represents a particular strength of our study and sets it apart from previous studies in the field (e.g., Steinmayr and Spinath, 2009 ). Alternatively, our findings could be attributed to the sample we investigated at least to some degree. The students examined in the present study were selected for the academic track in Germany, and this makes them rather homogeneous in their cognitive abilities. It is therefore plausible to assume that the restricted variance in intelligence scores decreased the respective criterion validities.

When all variables were assessed at the same level of specificity, the achievement motives hope for success and fear of failure were the second and third best motivational predictors of academic achievement and more important than in the study by Steinmayr and Spinath (2009) . This result underlines the original conceptualization of achievement motives as broad personal tendencies that energize approach or avoidance behavior across different contexts and situations ( Elliot, 2006 ). However, the explanatory power of achievement motives was higher in the more specific domains of math and German, thereby also supporting the suggestion made by Sparfeldt and Rost (2011) to conceptualize achievement motives more domain-specifically. Conceptually, achievement motives and ability self-concepts are closely related. Individuals who believe in their ability to succeed often show greater hope for success than fear of failure and vice versa ( Brunstein and Heckhausen, 2008 ). It is thus not surprising that the two constructs showed similar stability in their relative effects on academic achievement across the three investigated domains. Concerning the specific mechanisms through which students’ achievement motives and ability self-concepts affect their achievement, it seems that they elicit positive or negative valences in students, and these valences in turn serve as simple but meaningful triggers of (un)successful school-related behavior. The large and consistent effects for students’ ability self-concept and their hope for success in our study support recommendations from positive psychology that individuals think positively about the future and regularly provide affirmation to themselves by reminding themselves of their positive attributes ( Seligman and Csikszentmihalyi, 2000 ). Future studies could investigate mediation processes. Theoretically, it would make sense that achievement motives defined as broad personal tendencies affect academic achievement via expectancy beliefs like ability self-concepts (e.g., expectancy-value theory by Eccles and Wigfield, 2002 ; see also, Atkinson, 1957 ).

Although task values and learning goals did not contribute much toward explaining the variance in GPA, these two constructs became even more important for explaining variance in math and German grades. As Elliot (2006) pointed out in his hierarchical model of approach-avoidance motivation, achievement motives serve as basic motivational principles that energize behavior. However, they do not guide the precise direction of the energized behavior. Instead, goals and task values are commonly recruited to strategically guide this basic motivation toward concrete aims that address the underlying desire or concern. Our results are consistent with Elliot’s (2006) suggestions. Whereas basic achievement motives are equally important at abstract and specific achievement levels, task values and learning goals release their full explanatory power with increasing context-specificity as they affect students’ concrete actions in a given school subject. At this level of abstraction, task values and learning goals compete with more extrinsic forms of motivation, such as performance goals. Contrary to several studies in achievement-goal research, we did not demonstrate the importance of either performance-approach or performance-avoidance goals for academic achievement.

Whereas students’ ability self-concept showed a high relative importance above and beyond intelligence, with few exceptions, each of the remaining motivation constructs explained less than 5% of the variance in students’ academic achievement in the full model including intelligence measures. One might argue that the high relative importance of students’ ability self-concept is not surprising because students’ ability self-concepts more strongly depend on prior grades than the other motivation constructs. Prior grades represent performance feedback and enable achievement comparisons that are seen as the main determinants of students’ ability self-concepts (see Skaalvik and Skaalvik, 2002 ). However, we included students’ prior grades in the analyses and students’ ability self-concepts still were the most powerful predictors of academic achievement out of the achievement motivation constructs that were considered. It is thus reasonable to conclude that the high relative importance of students’ subjective beliefs about their abilities is not only due to the overlap of this believes with prior achievement.

Limitations and Suggestions for Further Research

Our study confirms and extends the extant work on the power of students’ ability self-concept net of other important motivation variables even when important methodological aspects are considered. Strength of the study is the simultaneous investigation of different achievement motivation constructs in different academic domains. Nevertheless, we restricted the range of motivation constructs to ability self-concepts, task values, goal orientations, and achievement motives. It might be interesting to replicate the findings with other motivation constructs such as academic self-efficacy ( Pajares, 2003 ), individual interest ( Renninger and Hidi, 2011 ), or autonomous versus controlled forms of motivation ( Ryan and Deci, 2000 ). However, these constructs are conceptually and/or empirically very closely related to the motivation constructs we considered (e.g., Eccles and Wigfield, 1995 ; Marsh et al., 2018 ). Thus, it might well be the case that we would find very similar results for self-efficacy instead of ability self-concept as one example.

A second limitation is that we only focused on linear relations between motivation and achievement using a variable-centered approach. Studies that considered different motivation constructs and used person-centered approaches revealed that motivation factors interact with each other and that there are different profiles of motivation that are differently related to students’ achievement (e.g., Conley, 2012 ; Schwinger et al., 2016 ). An important avenue for future studies on students’ motivation is to further investigate these interactions in different academic domains.

Another limitation that might suggest a potential avenue for future research is the fact that we used only grades as an indicator of academic achievement. Although, grades are of high practical relevance for the students, they do not necessarily indicate how much students have learned, how much they know and how creative they are in the respective domain (e.g., Walton and Spencer, 2009 ). Moreover, there is empirical evidence that the prediction of academic achievement differs according to the particular criterion that is chosen (e.g., Lotz et al., 2018 ). Using standardized test performance instead of grades might lead to different results.

Our study is also limited to 11th and 12th graders attending the highest academic track in Germany. More balanced samples are needed to generalize the findings. A recent study ( Ben-Eliyahu, 2019 ) that investigated the relations between different motivational constructs (i.e., goal orientations, expectancies, and task values) and self-regulated learning in university students revealed higher relations for gifted students than for typical students. This finding indicates that relations between different aspects of motivation might differ between academically selected samples and unselected samples.

Finally, despite the advantages of relative weight analyses, this procedure also has some shortcomings. Most important, it is based on manifest variables. Thus, differences in criterion validity might be due in part to differences in measurement error. However, we are not aware of a latent procedure that is comparable to relative weight analyses. It might be one goal for methodological research to overcome this shortcoming.

We conducted the present research to identify how different aspects of students’ motivation uniquely contribute to differences in students’ achievement. Our study demonstrated the relative importance of students’ ability self-concepts, their task values, learning goals, and achievement motives for students’ grades in different academic subjects above and beyond intelligence and prior achievement. Findings thus broaden our knowledge on the role of students’ motivation for academic achievement. Students’ ability self-concept turned out to be the most important motivational predictor of students’ grades above and beyond differences in their intelligence and prior grades, even when all predictors were assessed domain-specifically. Out of two students with similar intelligence scores, same prior achievement, and similar task values, goals and achievement motives in a domain, the student with a higher domain-specific ability self-concept will receive better school grades in the respective domain. Therefore, there is strong evidence that believing in own competencies is advantageous with respect to academic achievement. This finding shows once again that it is a promising approach to implement validated interventions aiming at enhancing students’ domain-specific ability-beliefs in school (see also Muenks et al., 2017 ; Steinmayr et al., 2018 ).

Data Availability

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

In Germany, institutional approval was not required by default at the time the study was conducted. That is, why we cannot provide a formal approval by the institutional ethics committee. We verify that the study is in accordance with established ethical guidelines. Participation was voluntarily and no deception took place. Before testing, we received informed consent forms from the parents of the students who were under the age of 18 on the day of the testing. If students did not want to participate, they could spend the testing time in their teacher’s room with an extra assignment. All students agreed to participate. We included this information also in the manuscript.

Author Contributions

RS conceived and supervised the study, curated the data, performed the formal analysis, investigated the results, developed the methodology, administered the project, and wrote, reviewed, and edited the manuscript. AW wrote, reviewed, and edited the manuscript. MS performed the formal analysis, and wrote, reviewed, and edited the manuscript. BS conceived the study, and wrote, reviewed, and edited the manuscript.

We acknowledge financial support by Deutsche Forschungsgemeinschaft and Technische Universität Dortmund/TU Dortmund University within the funding programme Open Access Publishing.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords : academic achievement, ability self-concept, task values, goals, achievement motives, intelligence, relative weight analysis

Citation: Steinmayr R, Weidinger AF, Schwinger M and Spinath B (2019) The Importance of Students’ Motivation for Their Academic Achievement – Replicating and Extending Previous Findings. Front. Psychol. 10:1730. doi: 10.3389/fpsyg.2019.01730

Received: 05 April 2019; Accepted: 11 July 2019; Published: 31 July 2019.

Reviewed by:

Copyright © 2019 Steinmayr, Weidinger, Schwinger and Spinath. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ricarda Steinmayr, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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Writing the Research Paper Slowly

By  JT Torres

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The typical approach to the research paper -- the generic term for pretty much all academic writing -- is to assign it as a summative assessment at the end of the semester. Faculty members normally give students a couple of weeks to research a topic, acquire new knowledge and communicate that knowledge in a perfectly formatted 20-page paper. Not only is it virtually impossible for even professional researchers to be this productive in such a short time span, but this approach also does not accurately teach the research writing process .

As a member of Teaching College Writing , I have provided workshops and resources to faculty in the disciplines -- faculty who do not identify as writing teachers, but faculty who nonetheless assign significant amounts of writing. Invariably, the first recommendation is to do something radical: assign the summative research paper the second week of the semester, or even earlier. What TCW offers is a slow writing approach to research. The point is not to just give students more time but also to emphasize and promote, in the words of Michelle Tremmel in the Iowa State University English department, “ techniques in rhetorically real writing .”

Writing the research paper slowly allows us to meticulously scaffold for students all the complex steps that go into a process we often take for granted. Additionally, a slow writing approach can reinforce the learning of content, engaging students’ situational interest as well as helping them develop self-regulatory skills -- such as determining which information is relevant to their now semester-long projects. The latter is especially crucial when we consider that cramming (and dumping a bunch of first impressions into a last-minute final paper certainly counts as cramming) rarely results in retained knowledge . Self-regulation empowers students to take control of their learning, using writing as the medium. After all, it isn’t so much the research paper that’s important -- not every student aspires to become a scientist -- but the research process , which can benefit students in any situation.

For instance, TCW worked with faculty teaching a 100-level Integrated Plant Sciences course at Washington State University to design a semester-long writing project. In the first week, while introducing students to the research project, faculty invited them to select a topic related to the content the course would cover. Students identified a plant superpower -- an exceptional ability of a particular plant that would attract cultivation.

Faculty explicitly taught students how to begin exploring sources, such as using databases particular to Integrated Plant Sciences, and evaluating those various sources. Once they identified the best sources, students took notes about information that aligned with the required content -- for example, the biological processes of particular plants.

Thus, their reading and writing practices, once slowed down, reinforced their learning. Keeping self-regulated learning in mind, students were not just developing individual course content knowledge -- they were also practicing the skills that would enable them to continue developing content knowledge beyond that individual course. At the very least, they now knew how to acquire new information.

Next, faculty explicitly taught students how to organize and write their notes into a “scientific story.” Too often, the tactics for arranging information into a particular discipline’s story remain implicit. Student are expected to be familiar with the nuances of appropriate genres and modes of writing in, say, science or history because disciplinary faculty rely on first-year writing programs to teach this familiarity. However, many first-year writing courses are not taught by faculty with expertise beyond writing . As a result, while they can teach students generally how to write a paragraph, they can’t prepare students for the nuances of what makes a text a scientific story as opposed to a literary or historical one.

As I illustrated by the Integrated Plant Sciences example, learning to read and write texts specific to any course also promotes learning the content of that course when the connections are made explicit. For this phase of that course, faculty taught students how to storyboard the knowledge they constructed of their chosen plant. Students began by composing an opening hook -- for example, the plant’s superpower -- providing a background of the plant, stating the purpose of researching the plant’s cultivation potential, and then offering evidence of that potential. As their storyboard took the shape of an outline for their research paper, it also organized the new information they were acquiring into a more meaningful schema of knowledge than had they quickly skimmed sources in a time crunch.

Along the way, the course’s teaching assistants could quickly assess each phase of the project with simple observational checklists: Did the student summarize x number of sources? Did the student complete a storyboard? With multiple dichotomous (yes/no) checkpoints, teaching assistants could quickly identify when and where students needed help in the research process based on whether they accomplished each step.

By the point in the semester when most other classes were just introducing the final research paper, students in the Integrated Plant Sciences course essentially had a solid outline, a firm grasp of the knowledge they intended to communicate and a clear vision of what they would write. Their only remaining task was to ensure they were following proper citation styles and that their writing was generally error-free.

That level of preparation resulted in 75 percent of the students feeling confident they could complete a similar project without the scaffolded steps. To support students’ self-reported confidence, faculty observed that the final research papers’ overall quality had been “significantly improved” compared to past semesters. And as an added bonus, time spent grading final papers -- since they had been assessed at smaller, more frequent time intervals -- had been “significantly reduced.”

In surveys, students reported that the slow research writing process helped them “meaningfully engage” their topics, even though it required “more work” than simply “throwing ideas together and turning it in all at once.” Their responses emphasize that writing can be a powerful method of learning, not just a demonstration of knowledge. By slowing down the writing students do in the disciplines, we can make evident the important skills they need in a variety of situations, not just in the completion of the almighty research paper.

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Why Students Should Still Write Research Papers

8 Reasons Why Students Should Still Write Research Papers by Dorothy Mikuska There are plenty of reasons why the research paper is not assigned.  They pretty much boil down to: perceived irrelevance of the assignment in light of modern publishing and technology widespread plagiarism teachers buried alive grading 10-page papers from 150 students (that’s 1500 pages…

by  Dorothy Mikuska

There are plenty of reasons why the research paper is not assigned.  They pretty much boil down to:

• perceived irrelevance of the assignment in light of modern publishing and technology
• widespread plagiarism
• teachers buried alive grading 10-page papers from 150 students (that’s 1500 pages to grade, not just read).

Before the research paper is declared dead and deleted from the curriculum in pursuit of briefer and more tech-based learning, here are 8 important reasons why students should still write research papers.

8 Reasons Why Students Should Still Write Research Papers

1. Complex Reading Skills Are Applied to Multiple Sources

The research paper requires close reading of complex text from multiple sources, which students must comprehend, analyze, synthesize, and evaluate. These tasks, more sophisticated than merely summarizing an article for a report, reflect the complex work demands of college and career.

2. It Creates A Research Mind Set

Research is finding answers to questions: how many teeth does a killer whale have—Google will give the number 52.  Real research deals with deeper and broader issues than finding isolated facts. Students must learn to think of research as investigating profound and complex issues.

3. It Can Promote Curiosity

From early childhood, curiosity drives the search to understand increasingly complex questions, to constantly question information, and to explore more sources and experts. The research paper provides a structured, yet independent opportunity for students to pursue in depth some extended aspect of the course content.

4. The Librarian Can Be A Life-Long Resource

Students often see librarians merely at the check-out desk or collecting fines.  Librarians are specialists at both accessing extensive sources from a variety of media and reinforcing the teaching of responsible use of information and technology. Because they work with students every day and are the center of the school’s curriculum, they can direct students to appropriate sources.  As a researcher’s best buddy, librarians are gatekeepers and trackers of information and can turn every question into a teachable moment.

5. The Power of Attribution

Undocumented information that students encounter online—social media postings, tweets, blogs and popular media—artificially narrows their experience to opinions and anonymous writers.  Students never see citations on a tweet or a bibliographical reference in People magazine.  Research conducted in the career world requires not just expert information, but the attribution of sources through in-text citations and bibliographies. As students use sources that model research material with annotations and bibliography, they develop a questioning mindset: who said that, where did that come from, and where can I find more?

6. It Builds Related Skills

Unskilled researchers collect downloaded files and perhaps highlight passages, sometimes indiscriminately whole paragraphs or pages, without understanding the text. This method may work for a cursory summary of an article or for identifying key points, but not for synthesizing information from ten sources for an in-depth report.

File formats can make annotating text awkward. Even if notes can be easily added in the text, students will struggle scrolling through multiple files to synthesize scattered information, resulting in a collection of summaries from each source rather than an integrated understanding of the topic.

Formal note taking, necessary for extended and rigorous research papers, keeps track of information as quotations and paraphrases, identifies the unique content of each note, connects it to other notes with keywords, and identifies the source that can be cited in the paper and added to the bibliography.

An added value of note taking lies in the learning process.  By reviewing notes with the same keywords, students can synthesize the material into an organized plan for the paper.

7. Plagiarism and Intellectual Property Rights Matter

Because of plagiarism’s prevalence in student work, it may be easier not to assign research papers. However, plagiarism and intellectual property rights issues, whether related to research papers or music and video piracy, need to be a major conversation throughout the curriculum.

Students do not understand what plagiarism is, its consequences to their learning and character, why everyone makes a big deal over it, and how to avoid it. While direct instruction teaches what plagiarism is, students must put into practice ethical research writing. The research paper process provides students and teachers the opportunity to discuss intellectual property rights and ethics as part of the assignment.

8. Coaching The Writing Process Is Powerful

The research paper is not just an assignment, but a commitment to continual dialog between teachers and students. Teachers as research paper coaches can explore their students’ understanding, interpretation, and synthesis of their reading, discuss their choice of sources and note taking strategies, evaluate their work incrementally, and model ethical paraphrasing and summary skills.

The research paper can be frightening, even paralyzing for some students with little or disappointing previous experiences. Teachers as coaches can make students feel comfortable taking control of the conversation and believing their voice and work are important.

By personalizing instruction to ensure student success throughout the process, and by students taking control of their work because they have important information to report, students are eager to share what they have learned. Poorly researched papers with little to say are poorly written or plagiarized.  Coached students will write papers that their teachers will want to read.

The Research Paper in the Information Age

The research paper is about information found, understood, and explained to others, a way to authentically extend the course content and purpose.

The private and public sectors consume and create carefully written research. Feasibility studies, like the possibility of marketing sausage casings in India, laboratory or field research, inquiries to determine educational, political, or banking policies—all are formats of the research paper that organizations use to make critical decisions. Before reporting new information, published reports with requisite citations and bibliography begin with what experts have already contributed to the issue.

Since this is the intellectual milieu our students will enter after graduation, they should be prepared for the complex reading, research, thinking, and writing skills they will need.

Dorothy Mikuska taught high school English including the research paper for 37 years. After retirement she formed ePen&Inc and created  PaperToolsPro , software for students to employ the literacy skills of slow, reflective reading needed to write good research papers; 8 Reasons Why Students Should Still Write Research Papers; image attribution flickr user samladner

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The Importance of Research to Students

Tags: Become a Doctor of Chiropractic , cleveland university-kansas city , Communications Staff , Doctor of Chiropractic (DC) , Exercise Physiology (MS) , Exercise Physiology and Sports Performance (Master's Degree) , Exercise Science (BS) , health sciences , research

C leveland University-Kansas City (CUKC) is an independent, nonprofit chiropractic and health sciences university. This report – part of our ongoing blog series – examines research opportunities while in college. Want one-on-one information? Get connected to our advising team here .

For universities, offering research opportunities and research programs for students allows for a broader educational experience. Students are able to explore the effects of applying new thought processes through study and testing. Students are then able to use that experience to understand the practical application of research.

Learn How Research Opportunities Can Enhance Your Educational Experience.

Consider what it would be like if the automotive industry ceased all research and development efforts. Cars would not improve in safety, comfort, or efficiency, and we would never know the benefits of advancements we often take for granted. Research makes cars better, safer, and more comfortable.

The same is true for the health sciences. Without research programs, advancements that have improved and even saved lives might have never been discovered.

Cleveland University-Kansas City (CUKC) understands the importance of research to students. Dr. Mark Pfefer, director of research at CUKC, collaborates with students through various research opportunities. He says students have the opportunity to take an active role in research projects and learn about proper investigative techniques.

Let’s take a closer look at the importance of research to students and how students are able to participate in research studies, research programs, and other research opportunities on campus at CUKC.

Research Opportunities for Students in College

One aspect surrounding the importance of research to students includes students performing actual research in collaboration with faculty. Dr. Pfefer explains that students interested in research projects are mentored by faculty members.

“We’ve had numerous students participate as co-authors on recent publications and presentations,” Pfefer says. “Students are taught strategies to search for information and assess the quality of the information found. Students learn critical appraisal skills; all information is not the same — some information is good and some is not.”

Students assist in various ways, including:

• Literature searching
• Data collection
• Manuscript development.

The collaborative work between students and faculty has proven to be a successful combination, and Pfefer looks forward to the continuation of these efforts in future research studies.

Research Programs That Take You Outside the Classroom

While time in the classroom is important, the importance of research to students is bolstered by having access to an on-site research department where students are able to grow and challenge the boundaries established by their predecessors. Students are encouraged to expand their minds and be open to the possibilities that research can reveal. Ultimately, students can become better healthcare professionals by engaging in research projects outside the classroom.

Participating in research programs can enhance a student’s future in their chosen profession. Some students become co-authors on research studies, putting them in the position to attach their name to efforts that may reshape parameters that were once the norm. Participating in research opportunities can light the fire of curiosity that will continue to provide benefits throughout a professional career.

At Cleveland University-Kansas City , students are part of the exhilarating breakthroughs that research projects can deliver. Research opportunities educate our students personally by opening their eyes to new possibilities. It rewards them professionally by getting their name out to the research community before they’ve even graduated.

Get to Know Cleveland University-Kansas City and Our Student Research Projects

CUKC is a private, nonprofit chiropractic and health sciences university in Overland Park, Kansas, a major suburb of the Kansas City metropolitan area. In addition to our more than 100-year legacy of offering the Doctor of Chiropractic degree, CUKC offers two-year degrees in radiologic technology and biological sciences. CUKC also offers a B.S. in Human biology, B.S. in Exercise Science, M.S. in Exercise Physiology and Sports Performance, and a 12-credit-hour graduate Certificate in Sports Performance (CSP).

Explore our academic degrees/certifications here .

Research is a powerful part of the educational experience at CUKC and one we are proud to share with our students. As an example of the topics and issues explored, check out this research blog and our website for evidence-based research on chiropractic issues and topics .

Download our free guide to help you pay for college: Your Guide to Navigating College Financial Aid .

CUKC is a student-focused, high-academic-quality university. Sound interesting to you? Get more information about CUKC and your future in health sciences and research. Request Information

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The Importance of Research—A Student Perspective

Rachel arena.

grid.252546.20000000122978753Department of Psychology, Auburn University, Magnolia Street and Duncan Drive and West Thatch Ave, Auburn, AL 36849 USA

Sheridan Chambers

Angelyn rhames, katherine donahoe.

As students, we will focus on the importance of an objective ranking system, research, and mentorship to an applicant. We will address points raised in the (Behavior Analysis In Practice 8(1):7–15, 2015) article as well as debate the usefulness of proposed standards of objective ranking.

A Student’s Perspective on Research

A little more than a year ago each of us was madly scrambling to negotiate the process of graduate program admissions. Like many people who go to graduate school, each of us had some history of viewing academic efforts through the lens of “too much is never enough,” and we applied our obsessive habits to the challenge of gathering information about graduate programs. We pored over Web sites and printed brochures. We stalked program faculty at conferences, via email and phone, and during campus visits. We talked to trusted mentors about the programs they respected. When in professional settings, we tried to find out where people who impressed us had attended graduate school, and we sometimes eavesdropped on strangers’ conversations for potentially valuable tidbits about the graduate programs they were considering.

Based on this chaotic and exhausting experience, we agree with Dixon et al. ( 2015 ) that consumers in our field need standardized information about the relative merits of graduate programs in applied behavior analysis (ABA). When we began the process of screening graduate programs, we knew that we were uninformed but we were less sure about what we needed to learn to become better consumers. We suspect that, like us, most college seniors find it difficult to know what aspects of a graduate program are crucial to the training of highly qualified ABA practitioners. To us, the most important contribution of Dixon et al. ( 2015 ) was to emphasize that our field should not abandon students to an uncertain process of self-education.

We agree with Dixon et al. ( 2015 ) that our field is better equipped than outside bodies (e.g., U.S. News & World Report ) to determine what constitutes top-quality graduate training. We were aware that the Behavior Analysis Certification Board publishes the rates at which graduates of various programs pass its certification exam, and we considered this information during our respective searches. Even as undergraduates, however, we knew that there is more to being a capable practitioner than simply passing the certification exam, and we would have appreciated much more guidance from our field than we received.

In the absence of standardized, objective information about graduate programs, prospective graduate students have to rely heavily on hearsay. As we gathered information on program reputations from mentors and colleagues, it occurred to us that this information sometimes says as much about the person providing it as about graduate programs themselves. We learned that some people are impressed by graduate programs that have a reputation for highly selective admissions, but we were not sure how or whether this predicted the quality of training that we could hope to receive. We learned that certain mentors thought highly of certain programs, but different people thought highly of different programs, and it was not always obvious how these opinions related to specific features of the training offered by the programs. We weren’t always sure whether the opinions were generic or had been offered with our individual needs and interests in mind.

Among the features of graduate programs that interested us was the type and degree of emphasis on research. Here, a few words of explanation will provide context for our perspective. As undergraduates, we learned to value evidence-based practices, data-based case management, and the science-based critical thinking that should guide clinical case management. But each of us decided to seek graduate training not just to apply current best practices; we also wanted to contribute to clinical innovation (e.g., Critchfield 2015 ). For various reasons, none of us wished to conduct research for a living, and we chose our program at Auburn University in part because its accelerated, 12-month, non-thesis curriculum would get us swiftly into the workplace where we knew, from past field experiences, our main reinforcers are to be found. Still, program research emphasis was important to us.

Unfortunately, far too much time and effort was required for us to understand that different programs have different types of research emphases. “Research training” comprises not a single repertoire but many. One involves conducting research. Another involves locating and consuming available research on a topic of interest. Yet, another involves translating from research findings in order to develop innovative interventions (Critchfield 2015 ; Critchfield & Reed, 2005 ). It is here that we would quibble with the position of Dixon et al. ( 2015 ), which suggests a one-size-fits-all approach to assessing the research climate at ABA graduate programs.

In order to gain insight about the research environment in graduate programs, undergraduates often compare their own research interests to those of faculty as described on program web sites and as illustrated in published articles. This comparison is most relevant to students who seek to become independent researchers. Our own goal is to become life-long consumers of research. It may not be the full-time job of Masters-level practitioners to conduct research, but in a field that is growing quickly it is pivotal that people like us not be limited to the state of our field’s knowledge at the time we take a certification exam. We need skills for tracking scholarly developments across the full breath of our careers.

We agree with Dixon et al. ( 2015 ) that it is helpful for ABA program faculty to maintain active research programs, but our concern is with what program graduates are able to do with the fruits of research, not how many articles a faculty member can publish. It has been suggested that the process of developing effective and transportable interventions from research findings requires a skill set that is independent of either conducting research or implementing existing interventions (e.g., Critchfield 2015 ; Critchfield and Reed, 2005 ). No skill set seems more relevant to our lifelong professional development.

Yes, we want to learn how to read and critically evaluate research, but we want to learn to do this from faculty who know how to translate and who care about helping us to become translators. Our ideal ABA program faculty member will have the time and inclination to focus on this. We want mentors who can conduct research, but more importantly who will discuss research with us on a regular basis and explore with us how research findings relate to the behavioral processes operating in practice settings. We want mentors whose skills and schedules allow them to provide on-site clinical supervision through which the connections between research and practice can be drawn explicitly.

While we applaud the efforts of Dixon et al. ( 2015 ) to rank ABA graduate programs in terms of program research climate, we stress that this climate has multiple facets. We represent a category of consumer who cares very much about our field’s research foundations, but we wish to harness rather than add to those foundations. Faculty publication counts may not be the best measure of a program’s ability to help us to this. Unfortunately, the program attributes that we particularly value are hard to quantify and thus will be difficult to incorporate into an objective system for ranking programs. Yet, if the purpose of rankings is to assist consumers (Dixon et al., 2015 ), then the needs of consumers like us should not be ignored.

Contributor Information

Rachel Arena, Email: ude.nrubua@0200azr .

Sheridan Chambers, Email: ude.nrubua@5400cms .

Angelyn Rhames, Email: ude.nrubua@7400rza .

Katherine Donahoe, Email: ude.nrubua@4200drk .

• Critchfield TS. What counts as high-quality practitioner training in applied behavior analysis? Behavior Analysis In Practice. 2015; 8 (1):3–6. doi: 10.1007/s40617-015-0049-0. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Critchfield TS, Reed DD. Conduits of translation in behavior-science bridge research. In: Burgos JE, Ribes E, editors. Theory, basic and applied research, and technological applications in behavior science: Conceptual and methodological issues. Guadalajara, Mexico: University of Guadalajara Press; 2005. pp. 45–84. [ Google Scholar ]
• Dixon MR, Reed DD, Smith T, Belisle J, Jackson RE. Research rankings of behavior analytic graduate training programs and their faculty. Behavior Analysis In Practice. 2015; 8 (1):7–15. doi: 10.1007/s40617-015-0057-0. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]

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What Is Academic Writing? | Dos and Don’ts for Students

Academic writing is a formal style of writing used in universities and scholarly publications. You’ll encounter it in journal articles and books on academic topics, and you’ll be expected to write your essays , research papers , and dissertation in academic style.

Academic writing follows the same writing process as other types of texts, but it has specific conventions in terms of content, structure and style.

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Table of contents

Types of academic writing, academic writing is…, academic writing is not…, useful tools for academic writing, academic writing checklist.

Academics mostly write texts intended for publication, such as journal articles, reports, books, and chapters in edited collections. For students, the most common types of academic writing assignments are listed below.

Different fields of study have different priorities in terms of the writing they produce. For example, in scientific writing it’s crucial to clearly and accurately report methods and results; in the humanities, the focus is on constructing convincing arguments through the use of textual evidence. However, most academic writing shares certain key principles intended to help convey information as effectively as possible.

Whether your goal is to pass your degree, apply to graduate school , or build an academic career, effective writing is an essential skill.

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Formal and unbiased

Academic writing aims to convey information in an impartial way. The goal is to base arguments on the evidence under consideration, not the author’s preconceptions. All claims should be supported with relevant evidence, not just asserted.

To avoid bias, it’s important to represent the work of other researchers and the results of your own research fairly and accurately. This means clearly outlining your methodology  and being honest about the limitations of your research.

The formal style used in academic writing ensures that research is presented consistently across different texts, so that studies can be objectively assessed and compared with other research.

Because of this, it’s important to strike the right tone with your language choices. Avoid informal language , including slang, contractions , clichés, and conversational phrases:

• Also , a lot of the findings are a little unreliable.
• Moreover , many of the findings are somewhat unreliable.

Clear and precise

It’s important to use clear and precise language to ensure that your reader knows exactly what you mean. This means being as specific as possible and avoiding vague language :

• People have been interested in this thing for a long time .
• Researchers have been interested in this phenomenon for at least 10 years .

Avoid hedging your claims with words like “perhaps,” as this can give the impression that you lack confidence in your arguments. Reflect on your word choice to ensure it accurately and directly conveys your meaning:

• This could perhaps suggest that…
• This suggests that…

Specialist language or jargon is common and often necessary in academic writing, which generally targets an audience of other academics in related fields.

However, jargon should be used to make your writing more concise and accurate, not to make it more complicated. A specialist term should be used when:

• It conveys information more precisely than a comparable non-specialist term.
• Your reader is likely to be familiar with the term.
• The term is commonly used by other researchers in your field.

The best way to familiarize yourself with the kind of jargon used in your field is to read papers by other researchers and pay attention to their language.

Focused and well structured

An academic text is not just a collection of ideas about a topic—it needs to have a clear purpose. Start with a relevant research question or thesis statement , and use it to develop a focused argument. Only include information that is relevant to your overall purpose.

A coherent structure is crucial to organize your ideas. Pay attention to structure at three levels: the structure of the whole text, paragraph structure, and sentence structure.

Well sourced

Academic writing uses sources to support its claims. Sources are other texts (or media objects like photographs or films) that the author analyzes or uses as evidence. Many of your sources will be written by other academics; academic writing is collaborative and builds on previous research.

It’s important to consider which sources are credible and appropriate to use in academic writing. For example, citing Wikipedia is typically discouraged. Don’t rely on websites for information; instead, use academic databases and your university library to find credible sources.

You must always cite your sources in academic writing. This means acknowledging whenever you quote or paraphrase someone else’s work by including a citation in the text and a reference list at the end.

There are many different citation styles with different rules. The most common styles are APA , MLA , and Chicago . Make sure to consistently follow whatever style your institution requires. If you don’t cite correctly, you may get in trouble for plagiarism . A good plagiarism checker can help you catch any issues before it’s too late.

You can easily create accurate citations in APA or MLA style using our Citation Generators.

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Correct and consistent

As well as following the rules of grammar, punctuation, and citation, it’s important to consistently apply stylistic conventions regarding:

• How to write numbers
• Introducing abbreviations
• Using verb tenses in different sections
• Capitalization of terms and headings
• Spelling and punctuation differences between UK and US English

In some cases there are several acceptable approaches that you can choose between—the most important thing is to apply the same rules consistently and to carefully proofread your text before you submit. If you don’t feel confident in your own proofreading abilities, you can get help from Scribbr’s professional proofreading services or Grammar Checker .

Academic writing generally tries to avoid being too personal. Information about the author may come in at some points—for example in the acknowledgements or in a personal reflection—but for the most part the text should focus on the research itself.

Always avoid addressing the reader directly with the second-person pronoun “you.” Use the impersonal pronoun “one” or an alternate phrasing instead for generalizations:

• As a teacher, you must treat your students fairly.
• As a teacher, one must treat one’s students fairly.
• Teachers must treat their students fairly.

The use of the first-person pronoun “I” used to be similarly discouraged in academic writing, but it is increasingly accepted in many fields. If you’re unsure whether to use the first person, pay attention to conventions in your field or ask your instructor.

When you refer to yourself, it should be for good reason. You can position yourself and describe what you did during the research, but avoid arbitrarily inserting your personal thoughts and feelings:

• In my opinion…
• I think that…
• I like/dislike…
• I conducted interviews with…
• I argue that…
• I hope to achieve…

Long-winded

Many students think their writing isn’t academic unless it’s over-complicated and long-winded. This isn’t a good approach—instead, aim to be as concise and direct as possible.

If a term can be cut or replaced with a more straightforward one without affecting your meaning, it should be. Avoid redundant phrasings in your text, and try replacing phrasal verbs with their one-word equivalents where possible:

• Interest in this phenomenon carried on in the year 2018 .
• Interest in this phenomenon continued in 2018 .

Repetition is a part of academic writing—for example, summarizing earlier information in the conclusion—but it’s important to avoid unnecessary repetition. Make sure that none of your sentences are repeating a point you’ve already made in different words.

Emotive and grandiose

An academic text is not the same thing as a literary, journalistic, or marketing text. Though you’re still trying to be persuasive, a lot of techniques from these styles are not appropriate in an academic context. Specifically, you should avoid appeals to emotion and inflated claims.

Though you may be writing about a topic that’s sensitive or important to you, the point of academic writing is to clearly communicate ideas, information, and arguments, not to inspire an emotional response. Avoid using emotive or subjective language :

• This horrible tragedy was obviously one of the worst catastrophes in construction history.
• The injury and mortality rates of this accident were among the highest in construction history.

Students are sometimes tempted to make the case for their topic with exaggerated , unsupported claims and flowery language. Stick to specific, grounded arguments that you can support with evidence, and don’t overstate your point:

• Charles Dickens is the greatest writer of the Victorian period, and his influence on all subsequent literature is enormous.
• Charles Dickens is one of the best-known writers of the Victorian period and has had a significant influence on the development of the English novel.

There are a a lot of writing tools that will make your writing process faster and easier. We’ll highlight three of them below.

Paraphrasing tool

AI writing tools like ChatGPT and a paraphrasing tool can help you rewrite text so that your ideas are clearer, you don’t repeat yourself, and your writing has a consistent tone.

They can also help you write more clearly about sources without having to quote them directly. Be warned, though: it’s still crucial to give credit to all sources in the right way to prevent plagiarism .

Grammar checker

Writing tools that scan your text for punctuation, spelling, and grammar mistakes. When it detects a mistake the grammar checke r will give instant feedback and suggest corrections. Helping you write clearly and avoid common mistakes .

You can use a summarizer if you want to condense text into its most important and useful ideas. With a summarizer tool, you can make it easier to understand complicated sources. You can also use the tool to make your research question clearer and summarize your main argument.

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Use the checklist below to assess whether you have followed the rules of effective academic writing.

• Checklist: Academic writing

I avoid informal terms and contractions .

I avoid second-person pronouns (“you”).

I avoid emotive or exaggerated language.

I avoid redundant words and phrases.

I avoid unnecessary jargon and define terms where needed.

I present information as precisely and accurately as possible.

I use appropriate transitions to show the connections between my ideas.

My text is logically organized using paragraphs .

Each paragraph is focused on a single idea, expressed in a clear topic sentence .

Every part of the text relates to my central thesis or research question .

I support my claims with evidence.

I use the appropriate verb tenses in each section.

I consistently use either UK or US English .

I format numbers consistently.

I cite my sources using a consistent citation style .

Your text follows the most important rules of academic style. Make sure it's perfect with the help of a Scribbr editor!

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More From Forbes

The role of research at universities: why it matters.

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(Photo by William B. Plowman/Getty Images)

Teaching and learning, research and discovery, synthesis and creativity, understanding and engagement, service and outreach. There are many “core elements” to the mission of a great university. Teaching would seem the most obvious, but for those outside of the university, “research” (taken to include scientific research, scholarship more broadly, as well as creative activity) may be the least well understood. This creates misunderstanding of how universities invest resources, especially those deriving from undergraduate tuition and state (or other public) support, and the misperception that those resources are being diverted away from what is believed should be the core (and sole) focus, teaching. This has led to a loss of trust, confidence, and willingness to continue to invest or otherwise support (especially our public) universities.

Why are universities engaged in the conduct of research? Who pays? Who benefits? And why does it all matter? Good questions. Let’s get to some straightforward answers. Because the academic research enterprise really is not that difficult to explain, and its impacts are profound.

So let’s demystify university-based research. And in doing so, hopefully we can begin building both better understanding and a better relationship between the public and higher education, both of which are essential to the future of US higher education.   

Why are universities engaged in the conduct of research?

Universities engage in research as part of their missions around learning and discovery. This, in turn, contributes directly and indirectly to their primary mission of teaching. Universities and many colleges (the exception being those dedicated exclusively to undergraduate teaching) have as part of their mission the pursuit of scholarship. This can come in the form of fundamental or applied research (both are most common in the STEM fields, broadly defined), research-based scholarship or what often is called “scholarly activity” (most common in the social sciences and humanities), or creative activity (most common in the arts). Increasingly, these simple categorizations are being blurred, for all good reasons and to the good of the discovery of new knowledge and greater understanding of complex (transdisciplinary) challenges and the creation of increasingly interrelated fields needed to address them.

It goes without saying that the advancement of knowledge (discovery, innovation, creation) is essential to any civilization. Our nation’s research universities represent some of the most concentrated communities of scholars, facilities, and collective expertise engaged in these activities. But more importantly, this is where higher education is delivered, where students develop breadth and depth of knowledge in foundational and advanced subjects, where the skills for knowledge acquisition and understanding (including contextualization, interpretation, and inference) are honed, and where students are educated, trained, and otherwise prepared for successful careers. Part of that training and preparation derives from exposure to faculty who are engaged at the leading-edge of their fields, through their research and scholarly work. The best faculty, the teacher-scholars, seamlessly weave their teaching and research efforts together, to their mutual benefit, and in a way that excites and engages their students. In this way, the next generation of scholars (academic or otherwise) is trained, research and discovery continue to advance inter-generationally, and the cycle is perpetuated.

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University research can be expensive, particularly in laboratory-intensive fields. But the responsibility for much (indeed most) of the cost of conducting research falls to the faculty member. Faculty who are engaged in research write grants for funding (e.g., from federal and state agencies, foundations, and private companies) to support their work and the work of their students and staff. In some cases, the universities do need to invest heavily in equipment, facilities, and personnel to support select research activities. But they do so judiciously, with an eye toward both their mission, their strategic priorities, and their available resources.

Medical research, and medical education more broadly, is expensive and often requires substantial institutional investment beyond what can be covered by clinical operations or externally funded research. But universities with medical schools/medical centers have determined that the value to their educational and training missions as well as to their communities justifies the investment. And most would agree that university-based medical centers are of significant value to their communities, often providing best-in-class treatment and care in midsize and smaller communities at a level more often seen in larger metropolitan areas.

Research in the STEM fields (broadly defined) can also be expensive. Scientific (including medical) and engineering research often involves specialized facilities or pieces of equipment, advanced computing capabilities, materials requiring controlled handling and storage, and so forth. But much of this work is funded, in large part, by federal agencies such as the National Science Foundation, National Institutes of Health, US Department of Energy, US Department of Agriculture, and many others.

Research in the social sciences is often (not always) less expensive, requiring smaller amount of grant funding. As mentioned previously, however, it is now becoming common to have physical, natural, and social scientist teams pursuing large grant funding. This is an exciting and very promising trend for many reasons, not the least of which is the nature of the complex problems being studied.

Research in the arts and humanities typically requires the least amount of funding as it rarely requires the expensive items listed previously. Funding from such organizations as the National Endowment for the Arts, National Endowment for the Humanities, and private foundations may be able to support significant scholarship and creation of new knowledge or works through much more modest grants than would be required in the natural or physical sciences, for example.

Philanthropy may also be directed toward the support of research and scholarly activity at universities. Support from individual donors, family foundations, private or corporate foundations may be directed to support students, faculty, labs or other facilities, research programs, galleries, centers, and institutes.

Who benefits?

Students, both undergraduate and graduate, benefit from studying in an environment rich with research and discovery. Besides what the faculty can bring back to the classroom, there are opportunities to engage with faculty as part of their research teams and even conduct independent research under their supervision, often for credit. There are opportunities to learn about and learn on state-of-the-art equipment, in state-of-the-art laboratories, and from those working on the leading edge in a discipline. There are opportunities to co-author, present at conferences, make important connections, and explore post-graduate pathways.

The broader university benefits from active research programs. Research on timely and important topics attracts attention, which in turn leads to greater institutional visibility and reputation. As a university becomes known for its research in certain fields, they become magnets for students, faculty, grants, media coverage, and even philanthropy. Strength in research helps to define a university’s “brand” in the national and international marketplace, impacting everything from student recruitment, to faculty retention, to attracting new investments.

The community, region, and state benefits from the research activity of the university. This is especially true for public research universities. Research also contributes directly to economic development, clinical, commercial, and business opportunities. Resources brought into the university through grants and contracts support faculty, staff, and student salaries, often adding additional jobs, contributing directly to the tax base. Research universities, through their expertise, reputation, and facilities, can attract new businesses into their communities or states. They can also launch and incubate startup companies, or license and sell their technologies to other companies. Research universities often host meeting and conferences which creates revenue for local hotels, restaurants, event centers, and more. And as mentioned previously, university medical centers provide high-quality medical care, often in midsize communities that wouldn’t otherwise have such outstanding services and state-of-the-art facilities.

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And finally, why does this all matter?

Research is essential to advancing society, strengthening the economy, driving innovation, and addressing the vexing and challenging problems we face as a people, place, and planet. It’s through research, scholarship, and discovery that we learn about our history and ourselves, understand the present context in which we live, and plan for and secure our future.

Research universities are vibrant, exciting, and inspiring places to learn and to work. They offer opportunities for students that few other institutions can match – whether small liberal arts colleges, mid-size teaching universities, or community colleges – and while not right for every learner or every educator, they are right for many, if not most. The advantages simply cannot be ignored. Neither can the importance or the need for these institutions. They need not be for everyone, and everyone need not find their way to study or work at our research universities, and we stipulate that there are many outstanding options to meet and support different learning styles and provide different environments for teaching and learning. But it’s critically important that we continue to support, protect, and respect research universities for all they do for their students, their communities and states, our standing in the global scientific community, our economy, and our nation.

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11.1 The Purpose of Research Writing

Learning objectives.

• Identify reasons to research writing projects.
• Outline the steps of the research writing process.

Why was the Great Wall of China built? What have scientists learned about the possibility of life on Mars? What roles did women play in the American Revolution? How does the human brain create, store, and retrieve memories? Who invented the game of football, and how has it changed over the years?

You may know the answers to these questions off the top of your head. If you are like most people, however, you find answers to tough questions like these by searching the Internet, visiting the library, or asking others for information. To put it simply, you perform research.

Whether you are a scientist, an artist, a paralegal, or a parent, you probably perform research in your everyday life. When your boss, your instructor, or a family member asks you a question that you do not know the answer to, you locate relevant information, analyze your findings, and share your results. Locating, analyzing, and sharing information are key steps in the research process, and in this chapter, you will learn more about each step. By developing your research writing skills, you will prepare yourself to answer any question no matter how challenging.

Reasons for Research

When you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic. What will you do, though, when your research is complete? You will need a way to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument. And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Write a paragraph about a time when you used research in your everyday life. Did you look for the cheapest way to travel from Houston to Denver? Did you search for a way to remove gum from the bottom of your shoe? In your paragraph, explain what you wanted to research, how you performed the research, and what you learned as a result.

Research Writing and the Academic Paper

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. For example, a student in an art history course might write a research paper about an artist’s work. Similarly, a student in a psychology course might write a research paper about current findings in childhood development.

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires a lot of time, effort, and organization. However, writing a research paper can also be a great opportunity to explore a topic that is particularly interesting to you. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you remember what you have learned and understand it on a deeper level.

Research Writing at Work

Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment, you will use research techniques to guide your exploration. You may even need to create a written report of your findings. And because effective communication is essential to any company, employers seek to hire people who can write clearly and professionally.

Writing at Work

Take a few minutes to think about each of the following careers. How might each of these professionals use researching and research writing skills on the job?

• Medical laboratory technician
• Small business owner
• Information technology professional
• Freelance magazine writer

A medical laboratory technician or information technology professional might do research to learn about the latest technological developments in either of these fields. A small business owner might conduct research to learn about the latest trends in his or her industry. A freelance magazine writer may need to research a given topic to write an informed, up-to-date article.

Think about the job of your dreams. How might you use research writing skills to perform that job? Create a list of ways in which strong researching, organizing, writing, and critical thinking skills could help you succeed at your dream job. How might these skills help you obtain that job?

Steps of the Research Writing Process

How does a research paper grow from a folder of brainstormed notes to a polished final draft? No two projects are identical, but most projects follow a series of six basic steps.

These are the steps in the research writing process:

• Choose a topic.
• Plan and schedule time to research and write.
• Conduct research.
• Organize research and ideas.
• Draft your paper.
• Revise and edit your paper.

Each of these steps will be discussed in more detail later in this chapter. For now, though, we will take a brief look at what each step involves.

Step 1: Choosing a Topic

As you may recall from Chapter 8 “The Writing Process: How Do I Begin?” , to narrow the focus of your topic, you may try freewriting exercises, such as brainstorming. You may also need to ask a specific research question —a broad, open-ended question that will guide your research—as well as propose a possible answer, or a working thesis . You may use your research question and your working thesis to create a research proposal . In a research proposal, you present your main research question, any related subquestions you plan to explore, and your working thesis.

Step 2: Planning and Scheduling

Before you start researching your topic, take time to plan your researching and writing schedule. Research projects can take days, weeks, or even months to complete. Creating a schedule is a good way to ensure that you do not end up being overwhelmed by all the work you have to do as the deadline approaches.

During this step of the process, it is also a good idea to plan the resources and organizational tools you will use to keep yourself on track throughout the project. Flowcharts, calendars, and checklists can all help you stick to your schedule. See Chapter 11 “Writing from Research: What Will I Learn?” , Section 11.2 “Steps in Developing a Research Proposal” for an example of a research schedule.

Step 3: Conducting Research

When going about your research, you will likely use a variety of sources—anything from books and periodicals to video presentations and in-person interviews.

Your sources will include both primary sources and secondary sources . Primary sources provide firsthand information or raw data. For example, surveys, in-person interviews, and historical documents are primary sources. Secondary sources, such as biographies, literary reviews, or magazine articles, include some analysis or interpretation of the information presented. As you conduct research, you will take detailed, careful notes about your discoveries. You will also evaluate the reliability of each source you find.

Step 4: Organizing Research and the Writer’s Ideas

When your research is complete, you will organize your findings and decide which sources to cite in your paper. You will also have an opportunity to evaluate the evidence you have collected and determine whether it supports your thesis, or the focus of your paper. You may decide to adjust your thesis or conduct additional research to ensure that your thesis is well supported.

Remember, your working thesis is not set in stone. You can and should change your working thesis throughout the research writing process if the evidence you find does not support your original thesis. Never try to force evidence to fit your argument. For example, your working thesis is “Mars cannot support life-forms.” Yet, a week into researching your topic, you find an article in the New York Times detailing new findings of bacteria under the Martian surface. Instead of trying to argue that bacteria are not life forms, you might instead alter your thesis to “Mars cannot support complex life-forms.”

Step 5: Drafting Your Paper

Now you are ready to combine your research findings with your critical analysis of the results in a rough draft. You will incorporate source materials into your paper and discuss each source thoughtfully in relation to your thesis or purpose statement.

When you cite your reference sources, it is important to pay close attention to standard conventions for citing sources in order to avoid plagiarism , or the practice of using someone else’s words without acknowledging the source. Later in this chapter, you will learn how to incorporate sources in your paper and avoid some of the most common pitfalls of attributing information.

Step 6: Revising and Editing Your Paper

In the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally. You will also make sure that your paper uses an appropriate and consistent tone.

Once you feel confident in the strength of your writing, you will edit your paper for proper spelling, grammar, punctuation, mechanics, and formatting. When you complete this final step, you will have transformed a simple idea or question into a thoroughly researched and well-written paper you can be proud of!

Review the steps of the research writing process. Then answer the questions on your own sheet of paper.

• In which steps of the research writing process are you allowed to change your thesis?
• In step 2, which types of information should you include in your project schedule?
• What might happen if you eliminated step 4 from the research writing process?

Key Takeaways

• People undertake research projects throughout their academic and professional careers in order to answer specific questions, share their findings with others, increase their understanding of challenging topics, and strengthen their researching, writing, and analytical skills.
• The research writing process generally comprises six steps: choosing a topic, scheduling and planning time for research and writing, conducting research, organizing research and ideas, drafting a paper, and revising and editing the paper.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Home » Significance of the Study – Examples and Writing Guide

Significance of the Study – Examples and Writing Guide

Table of Contents

Significance of the Study

Definition:

Significance of the study in research refers to the potential importance, relevance, or impact of the research findings. It outlines how the research contributes to the existing body of knowledge, what gaps it fills, or what new understanding it brings to a particular field of study.

In general, the significance of a study can be assessed based on several factors, including:

• Originality : The extent to which the study advances existing knowledge or introduces new ideas and perspectives.
• Practical relevance: The potential implications of the study for real-world situations, such as improving policy or practice.
• Theoretical contribution: The extent to which the study provides new insights or perspectives on theoretical concepts or frameworks.
• Methodological rigor : The extent to which the study employs appropriate and robust methods and techniques to generate reliable and valid data.
• Social or cultural impact : The potential impact of the study on society, culture, or public perception of a particular issue.

Types of Significance of the Study

The significance of the Study can be divided into the following types:

Theoretical Significance

Theoretical significance refers to the contribution that a study makes to the existing body of theories in a specific field. This could be by confirming, refuting, or adding nuance to a currently accepted theory, or by proposing an entirely new theory.

Practical Significance

Practical significance refers to the direct applicability and usefulness of the research findings in real-world contexts. Studies with practical significance often address real-life problems and offer potential solutions or strategies. For example, a study in the field of public health might identify a new intervention that significantly reduces the spread of a certain disease.

Significance for Future Research

This pertains to the potential of a study to inspire further research. A study might open up new areas of investigation, provide new research methodologies, or propose new hypotheses that need to be tested.

How to Write Significance of the Study

Here’s a guide to writing an effective “Significance of the Study” section in research paper, thesis, or dissertation:

• Background : Begin by giving some context about your study. This could include a brief introduction to your subject area, the current state of research in the field, and the specific problem or question your study addresses.
• Identify the Gap : Demonstrate that there’s a gap in the existing literature or knowledge that needs to be filled, which is where your study comes in. The gap could be a lack of research on a particular topic, differing results in existing studies, or a new problem that has arisen and hasn’t yet been studied.
• State the Purpose of Your Study : Clearly state the main objective of your research. You may want to state the purpose as a solution to the problem or gap you’ve previously identified.
• Contributes to the existing body of knowledge.
• Addresses a significant research gap.
• Offers a new or better solution to a problem.
• Impacts policy or practice.
• Leads to improvements in a particular field or sector.
• Identify Beneficiaries : Identify who will benefit from your study. This could include other researchers, practitioners in your field, policy-makers, communities, businesses, or others. Explain how your findings could be used and by whom.
• Future Implications : Discuss the implications of your study for future research. This could involve questions that are left open, new questions that have been raised, or potential future methodologies suggested by your study.

Significance of the Study in Research Paper

The Significance of the Study in a research paper refers to the importance or relevance of the research topic being investigated. It answers the question “Why is this research important?” and highlights the potential contributions and impacts of the study.

The significance of the study can be presented in the introduction or background section of a research paper. It typically includes the following components:

• Importance of the research problem: This describes why the research problem is worth investigating and how it relates to existing knowledge and theories.
• Potential benefits and implications: This explains the potential contributions and impacts of the research on theory, practice, policy, or society.
• Originality and novelty: This highlights how the research adds new insights, approaches, or methods to the existing body of knowledge.
• Scope and limitations: This outlines the boundaries and constraints of the research and clarifies what the study will and will not address.

Suppose a researcher is conducting a study on the “Effects of social media use on the mental health of adolescents”.

The significance of the study may be:

“The present study is significant because it addresses a pressing public health issue of the negative impact of social media use on adolescent mental health. Given the widespread use of social media among this age group, understanding the effects of social media on mental health is critical for developing effective prevention and intervention strategies. This study will contribute to the existing literature by examining the moderating factors that may affect the relationship between social media use and mental health outcomes. It will also shed light on the potential benefits and risks of social media use for adolescents and inform the development of evidence-based guidelines for promoting healthy social media use among this population. The limitations of this study include the use of self-reported measures and the cross-sectional design, which precludes causal inference.”

Significance of the Study In Thesis

The significance of the study in a thesis refers to the importance or relevance of the research topic and the potential impact of the study on the field of study or society as a whole. It explains why the research is worth doing and what contribution it will make to existing knowledge.

For example, the significance of a thesis on “Artificial Intelligence in Healthcare” could be:

• With the increasing availability of healthcare data and the development of advanced machine learning algorithms, AI has the potential to revolutionize the healthcare industry by improving diagnosis, treatment, and patient outcomes. Therefore, this thesis can contribute to the understanding of how AI can be applied in healthcare and how it can benefit patients and healthcare providers.
• AI in healthcare also raises ethical and social issues, such as privacy concerns, bias in algorithms, and the impact on healthcare jobs. By exploring these issues in the thesis, it can provide insights into the potential risks and benefits of AI in healthcare and inform policy decisions.
• Finally, the thesis can also advance the field of computer science by developing new AI algorithms or techniques that can be applied to healthcare data, which can have broader applications in other industries or fields of research.

Significance of the Study in Research Proposal

The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims to address. It explains why the research is valuable, relevant, and important to the academic or scientific community, policymakers, or society at large. A strong statement of significance can help to persuade the reviewers or funders of the research proposal that the study is worth funding and conducting.

Here is an example of a significance statement in a research proposal:

Title : The Effects of Gamification on Learning Programming: A Comparative Study

Significance Statement:

This proposed study aims to investigate the effects of gamification on learning programming. With the increasing demand for computer science professionals, programming has become a fundamental skill in the computer field. However, learning programming can be challenging, and students may struggle with motivation and engagement. Gamification has emerged as a promising approach to improve students’ engagement and motivation in learning, but its effects on programming education are not yet fully understood. This study is significant because it can provide valuable insights into the potential benefits of gamification in programming education and inform the development of effective teaching strategies to enhance students’ learning outcomes and interest in programming.

Examples of Significance of the Study

Here are some examples of the significance of a study that indicates how you can write this into your research paper according to your research topic:

Research on an Improved Water Filtration System : This study has the potential to impact millions of people living in water-scarce regions or those with limited access to clean water. A more efficient and affordable water filtration system can reduce water-borne diseases and improve the overall health of communities, enabling them to lead healthier, more productive lives.

Study on the Impact of Remote Work on Employee Productivity : Given the shift towards remote work due to recent events such as the COVID-19 pandemic, this study is of considerable significance. Findings could help organizations better structure their remote work policies and offer insights on how to maximize employee productivity, wellbeing, and job satisfaction.

Investigation into the Use of Solar Power in Developing Countries : With the world increasingly moving towards renewable energy, this study could provide important data on the feasibility and benefits of implementing solar power solutions in developing countries. This could potentially stimulate economic growth, reduce reliance on non-renewable resources, and contribute to global efforts to combat climate change.

Research on New Learning Strategies in Special Education : This study has the potential to greatly impact the field of special education. By understanding the effectiveness of new learning strategies, educators can improve their curriculum to provide better support for students with learning disabilities, fostering their academic growth and social development.

Examination of Mental Health Support in the Workplace : This study could highlight the impact of mental health initiatives on employee wellbeing and productivity. It could influence organizational policies across industries, promoting the implementation of mental health programs in the workplace, ultimately leading to healthier work environments.

Evaluation of a New Cancer Treatment Method : The significance of this study could be lifesaving. The research could lead to the development of more effective cancer treatments, increasing the survival rate and quality of life for patients worldwide.

When to Write Significance of the Study

The Significance of the Study section is an integral part of a research proposal or a thesis. This section is typically written after the introduction and the literature review. In the research process, the structure typically follows this order:

• Title – The name of your research.
• Abstract – A brief summary of the entire research.
• Introduction – A presentation of the problem your research aims to solve.
• Literature Review – A review of existing research on the topic to establish what is already known and where gaps exist.
• Significance of the Study – An explanation of why the research matters and its potential impact.

In the Significance of the Study section, you will discuss why your study is important, who it benefits, and how it adds to existing knowledge or practice in your field. This section is your opportunity to convince readers, and potentially funders or supervisors, that your research is valuable and worth undertaking.

Advantages of Significance of the Study

The Significance of the Study section in a research paper has multiple advantages:

• Establishes Relevance: This section helps to articulate the importance of your research to your field of study, as well as the wider society, by explicitly stating its relevance. This makes it easier for other researchers, funders, and policymakers to understand why your work is necessary and worth supporting.
• Guides the Research: Writing the significance can help you refine your research questions and objectives. This happens as you critically think about why your research is important and how it contributes to your field.
• Attracts Funding: If you are seeking funding or support for your research, having a well-written significance of the study section can be key. It helps to convince potential funders of the value of your work.
• Opens up Further Research: By stating the significance of the study, you’re also indicating what further research could be carried out in the future, based on your work. This helps to pave the way for future studies and demonstrates that your research is a valuable addition to the field.
• Provides Practical Applications: The significance of the study section often outlines how the research can be applied in real-world situations. This can be particularly important in applied sciences, where the practical implications of research are crucial.
• Enhances Understanding: This section can help readers understand how your study fits into the broader context of your field, adding value to the existing literature and contributing new knowledge or insights.

Limitations of Significance of the Study

The Significance of the Study section plays an essential role in any research. However, it is not without potential limitations. Here are some that you should be aware of:

• Subjectivity: The importance and implications of a study can be subjective and may vary from person to person. What one researcher considers significant might be seen as less critical by others. The assessment of significance often depends on personal judgement, biases, and perspectives.
• Predictability of Impact: While you can outline the potential implications of your research in the Significance of the Study section, the actual impact can be unpredictable. Research doesn’t always yield the expected results or have the predicted impact on the field or society.
• Difficulty in Measuring: The significance of a study is often qualitative and can be challenging to measure or quantify. You can explain how you think your research will contribute to your field or society, but measuring these outcomes can be complex.
• Possibility of Overstatement: Researchers may feel pressured to amplify the potential significance of their study to attract funding or interest. This can lead to overstating the potential benefits or implications, which can harm the credibility of the study if these results are not achieved.
• Overshadowing of Limitations: Sometimes, the significance of the study may overshadow the limitations of the research. It is important to balance the potential significance with a thorough discussion of the study’s limitations.
• Dependence on Successful Implementation: The significance of the study relies on the successful implementation of the research. If the research process has flaws or unexpected issues arise, the anticipated significance might not be realized.

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A step-by-step guide for creating and formatting APA Style student papers

The start of the semester is the perfect time to learn how to create and format APA Style student papers. This article walks through the formatting steps needed to create an APA Style student paper, starting with a basic setup that applies to the entire paper (margins, font, line spacing, paragraph alignment and indentation, and page headers). It then covers formatting for the major sections of a student paper: the title page, the text, tables and figures, and the reference list. Finally, it concludes by describing how to organize student papers and ways to improve their quality and presentation.

The guidelines for student paper setup are described and shown using annotated diagrams in the Student Paper Setup Guide (PDF, 3.40MB) and the A Step-by-Step Guide to APA Style Student Papers webinar . Chapter 1 of the Concise Guide to APA Style and Chapter 2 of the Publication Manual of the American Psychological Association describe the elements, format, and organization for student papers. Tables and figures are covered in Chapter 7 of both books. Information on paper format and tables and figures and a full sample student paper are also available on the APA Style website.

Basic setup

The guidelines for basic setup apply to the entire paper. Perform these steps when you first open your document, and then you do not have to worry about them again while writing your paper. Because these are general aspects of paper formatting, they apply to all APA Style papers, student or professional. Students should always check with their assigning instructor or institution for specific guidelines for their papers, which may be different than or in addition to APA Style guidelines.

Seventh edition APA Style was designed with modern word-processing programs in mind. Most default settings in programs such as Academic Writer, Microsoft Word, and Google Docs already comply with APA Style. This means that, for most paper elements, you do not have to make any changes to the default settings of your word-processing program. However, you may need to make a few adjustments before you begin writing.

Use 1-in. margins on all sides of the page (top, bottom, left, and right). This is usually how papers are automatically set.

Use a legible font. The default font of your word-processing program is acceptable. Many sans serif and serif fonts can be used in APA Style, including 11-point Calibri, 11-point Arial, 12-point Times New Roman, and 11-point Georgia. You can also use other fonts described on the font page of the website.

Line spacing

Double-space the entire paper including the title page, block quotations, and the reference list. This is something you usually must set using the paragraph function of your word-processing program. But once you do, you will not have to change the spacing for the entirety of your paper–just double-space everything. Do not add blank lines before or after headings. Do not add extra spacing between paragraphs. For paper sections with different line spacing, see the line spacing page.

Paragraph alignment and indentation

Align all paragraphs of text in the body of your paper to the left margin. Leave the right margin ragged. Do not use full justification. Indent the first line of every paragraph of text 0.5-in. using the tab key or the paragraph-formatting function of your word-processing program. For paper sections with different alignment and indentation, see the paragraph alignment and indentation page.

Page numbers

Put a page number in the top right of every page header , including the title page, starting with page number 1. Use the automatic page-numbering function of your word-processing program to insert the page number in the top right corner; do not type the page numbers manually. The page number is the same font and font size as the text of your paper. Student papers do not require a running head on any page, unless specifically requested by the instructor.

Title page setup

Title page elements.

APA Style has two title page formats: student and professional (for details, see title page setup ). Unless instructed otherwise, students should use the student title page format and include the following elements, in the order listed, on the title page:

• Paper title.
• Name of each author (also known as the byline).
• Affiliation for each author.
• Course number and name.
• Instructor name.
• Assignment due date.
• Page number 1 in the top right corner of the page header.

The format for the byline depends on whether the paper has one author, two authors, or three or more authors.

• When the paper has one author, write the name on its own line (e.g., Jasmine C. Hernandez).
• When the paper has two authors, write the names on the same line and separate them with the word “and” (e.g., Upton J. Wang and Natalia Dominguez).
• When the paper has three or more authors, separate the names with commas and include “and” before the final author’s name (e.g., Malia Mohamed, Jaylen T. Brown, and Nia L. Ball).

Students have an academic affiliation, which identities where they studied when the paper was written. Because students working together on a paper are usually in the same class, they will have one shared affiliation. The affiliation consists of the name of the department and the name of the college or university, separated by a comma (e.g., Department of Psychology, George Mason University). The department is that of the course to which the paper is being submitted, which may be different than the department of the student’s major. Do not include the location unless it is part of the institution’s name.

Write the course number and name and the instructor name as shown on institutional materials (e.g., the syllabus). The course number and name are often separated by a colon (e.g., PST-4510: History and Systems Psychology). Write the assignment due date in the month, date, and year format used in your country (e.g., Sept. 10, 2020).

Title page line spacing

Double-space the whole title page. Place the paper title three or four lines down from the top of the page. Add an extra double-spaced blank like between the paper title and the byline. Then, list the other title page elements on separate lines, without extra lines in between.

Title page alignment

Center all title page elements (except the right-aligned page number in the header).

Title page font

Write the title page using the same font and font size as the rest of your paper. Bold the paper title. Use standard font (i.e., no bold, no italics) for all other title page elements.

Text elements

Repeat the paper title at the top of the first page of text. Begin the paper with an introduction to provide background on the topic, cite related studies, and contextualize the paper. Use descriptive headings to identify other sections as needed (e.g., Method, Results, Discussion for quantitative research papers). Sections and headings vary depending on the paper type and its complexity. Text can include tables and figures, block quotations, headings, and footnotes.

Text line spacing

Double-space all text, including headings and section labels, paragraphs of text, and block quotations.

Text alignment

Center the paper title on the first line of the text. Indent the first line of all paragraphs 0.5-in.

Left-align the text. Leave the right margin ragged.

Block quotation alignment

Indent the whole block quotation 0.5-in. from the left margin. Double-space the block quotation, the same as other body text. Find more information on the quotations page.

Use the same font throughout the entire paper. Write body text in standard (nonbold, nonitalic) font. Bold only headings and section labels. Use italics sparingly, for instance, to highlight a key term on first use (for more information, see the italics page).

Headings format

For detailed guidance on formatting headings, including headings in the introduction of a paper, see the headings page and the headings in sample papers .

• Alignment: Center Level 1 headings. Left-align Level 2 and Level 3 headings. Indent Level 4 and Level 5 headings like a regular paragraph.
• Font: Boldface all headings. Also italicize Level 3 and Level 5 headings. Create heading styles using your word-processing program (built into AcademicWriter, available for Word via the sample papers on the APA Style website).

Tables and figures setup

Tables and figures are only included in student papers if needed for the assignment. Tables and figures share the same elements and layout. See the website for sample tables and sample figures .

Table elements

Tables include the following four elements: 

• Body (rows and columns)
• Note (optional if needed to explain elements in the table)

Figure elements

Figures include the following four elements: 

• Image (chart, graph, etc.)
• Note (optional if needed to explain elements in the figure)

Table line spacing

Double-space the table number and title. Single-, 1.5-, or double-space the table body (adjust as needed for readability). Double-space the table note.

Figure line spacing

Double-space the figure number and title. The default settings for spacing in figure images is usually acceptable (but adjust the spacing as needed for readability). Double-space the figure note.

Table alignment

Left-align the table number and title. Center column headings. Left-align the table itself and left-align the leftmost (stub) column. Center data in the table body if it is short or left-align the data if it is long. Left-align the table note.

Figure alignment

Left-align the figure number and title. Left-align the whole figure image. The default alignment of the program in which you created your figure is usually acceptable for axis titles and data labels. Left-align the figure note.

Bold the table number. Italicize the table title. Use the same font and font size in the table body as the text of your paper. Italicize the word “Note” at the start of the table note. Write the note in the same font and font size as the text of your paper.

Figure font

Bold the figure number. Italicize the figure title. Use a sans serif font (e.g., Calibri, Arial) in the figure image in a size between 8 to 14 points. Italicize the word “Note” at the start of the figure note. Write the note in the same font and font size as the text of your paper.

Placement of tables and figures

There are two options for the placement of tables and figures in an APA Style paper. The first option is to place all tables and figures on separate pages after the reference list. The second option is to embed each table and figure within the text after its first callout. This guide describes options for the placement of tables and figures embedded in the text. If your instructor requires tables and figures to be placed at the end of the paper, see the table and figure guidelines and the sample professional paper .

Call out (mention) the table or figure in the text before embedding it (e.g., write “see Figure 1” or “Table 1 presents”). You can place the table or figure after the callout either at the bottom of the page, at the top of the next page, or by itself on the next page. Avoid placing tables and figures in the middle of the page.

Embedding at the bottom of the page

Include a callout to the table or figure in the text before that table or figure. Add a blank double-spaced line between the text and the table or figure at the bottom of the page.

Embedding at the top of the page

Include a callout to the table in the text on the previous page before that table or figure. The table or figure then appears at the top of the next page. Add a blank double-spaced line between the end of the table or figure and the text that follows.

Embedding on its own page

Embed long tables or large figures on their own page if needed. The text continues on the next page.

Reference list setup

Reference list elements.

The reference list consists of the “References” section label and the alphabetical list of references. View reference examples on the APA Style website. Consult Chapter 10 in both the Concise Guide and Publication Manual for even more examples.

Reference list line spacing

Start the reference list at the top of a new page after the text. Double-space the entire reference list (both within and between entries).

Reference list alignment

Center the “References” label. Apply a hanging indent of 0.5-in. to all reference list entries. Create the hanging indent using your word-processing program; do not manually hit the enter and tab keys.

Reference list font

Bold the “References” label at the top of the first page of references. Use italics within reference list entries on either the title (e.g., webpages, books, reports) or on the source (e.g., journal articles, edited book chapters).

Final checks

Check page order.

• Start each section on a new page.
• Arrange pages in the following order:
• Title page (page 1).
• Text (starts on page 2).
• Reference list (starts on a new page after the text).

Check headings

• Check that headings accurately reflect the content in each section.
• Start each main section with a Level 1 heading.
• Use Level 2 headings for subsections of the introduction.
• Use the same level of heading for sections of equal importance.
• Avoid having only one subsection within a section (have two or more, or none).

Check assignment instructions

• Remember that instructors’ guidelines supersede APA Style.
• Students should check their assignment guidelines or rubric for specific content to include in their papers and to make sure they are meeting assignment requirements.

Tips for better writing

• Ask for feedback on your paper from a classmate, writing center tutor, or instructor.
• Budget time to implement suggestions.
• Use spell-check and grammar-check to identify potential errors, and then manually check those flagged.
• Proofread the paper by reading it slowly and carefully aloud to yourself.
• Consult your university writing center if you need extra help.

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