Dispositional happiness and college student GPA: Unpacking a null relation

We examined the mechanisms that underlie the null relation between dispositional happiness and college grade point average (GPA) by testing the hypothesis that dispositional happiness has positive and negative indirect links to GPA that offset each other. The sample consisted of 317 first-year students. Using structural equation modeling, we found that dispositional happiness exerted a positive indirect effect on cumulative GPA via commitment to college (p < .01) and a negative indirect effect on cumulative GPA via satisfaction with peer (student) relationships (p < .05). As predicted, the sum of its indirect effects on cumulative GPA was not significant (p = .22).     

Relationship between academic achievement and measured career interest: examination of Holland's theory

The present study was designed to examine Holland's hypothesis that person-environment congruence relates positively to academic achievement. The sample of 157 nontraditional premedical students completed Holland's Self-directed Search interest inventory. The students were enrolled in the Medical/Dental Education Preparatory Program, which is designed to increase the number of qualified applicants who are underrepresented in the medical profession. Using scores on Holland's inventory students were classified as congruent or incongruent. A cumulative grade point average and a science grade point average were calculated for each student. An analysis of variance supported Holland's Congruence-achievement hypothesis. Congruent students did in fact achieve significantly higher cumulative GPA and science GPA than did incongruent students. Implications for counseling and academic advisement as well as further research are discussed.     

Holland's theoretical signs of consistency and differentiation and their relationship to academic potential and achievement

The study was designed to assess Holland's theoretical signs of consistency and differentiation as measures of academic aptitude and achievement. Holland postulates that levels of consistency and differentiation on the Self Directed Search (SDS) may be used to assess a person's educational-vocational potential, achievement, or status. Using the SDS and a sample of investigative male subjects (N = 127), Holland's theoretical signs of consistency and differentiation were tested on measures of academic aptitude and achievement over a four year college period. Academic aptitude was assessed by the Scholastic Aptitude Test (SAT) and academic achievement by cumulative grade point average (GPA) over a four year college period. The findings show significant differences on SAT scores for the sign of differentiation but no significant differences for GPA over a four year college period. The results also show no significant differences on SAT or GPA for the sign of consistency. Future research is recommended on Holland's theoretical signs before they can be incorporated into a complete and useful diagnostic system.     

Psychological correlates of university students' academic performance: a systematic review and meta-analysis

A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across research domains. A systematic search of PsycINFO and Web of Knowledge databases between 1997 and 2010 identified 7,167 English-language articles yielding 241 data sets, which reported on 50 conceptually distinct correlates of GPA, including 3 demographic factors and 5 traditional measures of cognitive capacity or prior academic performance. In addition, 42 non-intellective constructs were identified from 5 conceptually overlapping but distinct research domains: (a) personality traits, (b) motivational factors, (c) self-regulatory learning strategies, (d) students' approaches to learning, and (e) psychosocial contextual influences. We retrieved 1,105 independent correlations and analyzed data using hypothesis-driven, random-effects meta-analyses. Significant average, weighted correlations were found for 41 of 50 measures. Univariate analyses revealed that demographic and psychosocial contextual factors generated, at best, small correlations with GPA. Medium-sized correlations were observed for high school GPA, SAT, ACT, and A level scores. Three non-intellective constructs also showed medium-sized correlations with GPA: academic self-efficacy, grade goal, and effort regulation. A large correlation was observed for performance self-efficacy, which was the strongest correlate (of 50 measures) followed by high school GPA, ACT, and grade goal. Implications for future research, student assessment, and intervention design are discussed.     

Graduate Student Selection: Graduate record examination,socioeconomic status,and undergraduate grade point average as predictors of study success in a western European University

Graduate students' mobility has increased within Europe. Yet, empirical evidence on the validity of standardized admission tests in Europe is still scarce. The aim of the present study was therefore to investigate the incremental validity of the GRE® revised general test above undergraduate grade point average (U‐GPA) by focusing on a multinational sample of master students (N = 282) enrolled at a Dutch university. Results indicated that the Analytical Writing part of the GRE predicts graduate grade point average above and beyond U‐GPA. Furthermore, the results suggest that the relationship is independent of students' socioeconomic status as indexed by parental education. Implications for graduate student selection in a European context are discussed.     

Discrepancy Between Self‐Report and School‐Record Grade Point Average: Correlates With Psychosocial Outcomes Among African American Adolescents1

The purpose of this study is to better understand the implications for using self‐reported grade point average (GPA) versus school‐record GPA in academic achievement research. First, we found that nearly half the youths interviewed overreported their GPAs by at least 2 half grades. Second, youth who overreported their GPAs also reported less psychological distress, more successful academic beliefs, and fewer problem behaviors. Third, we found that self‐reported GPA was associated with all 3 sets of variables, but school‐record GPA was associated with only problem behaviors. The findings suggest that it may be useful for researchers to consider how different measures of GPA may influence their results.     

RECRUITERS' USE OF GPA IN INITIAL SCREENING DECISIONS: HIGHER GPAs DON'T ALWAYS MAKE THE CUT

The relationship between college grade point average (GPA) and recruiters' initial screening decisions was examined using data from 548 job postings in a college recruitment program. Results indicate that in-major grade point average (GPA) is more strongly associated with screening decisions ( p = 0.18, SD_P = 0.200) than is overall GPA ( p = 0.06, SD_P = 0.187), but the magnitudes of the relationships varied across decision sets including a larger number of negative values than would be expected from sampling error alone. Subsequent examination of the bivariate data identified 6 different plot types suggesting that recruiters use a variety of GPA decision rules to initially screen applicants in college recruiting. The most common data plots found in 42% of the decision sets suggests that recruiters do not use GPA in screening decisions. But a surprising 81 of 548 decision sets indicated recruiters selected against applicants with high GPAs. Evidence that organizations recruiting for the same job produced different plot types suggests that the use of GPA data in initial screening decisions may be idiosyncratic to individual recruiters.     

A study of time management: the correlation between video game usage and academic performance markers.

This study analyzes the correlation between video game usage and academic performance. Scholastic Aptitude Test (SAT) and grade-point average (GPA) scores were used to gauge academic performance. The amount of time a student spends playing video games has a negative correlation with students' GPA and SAT scores. As video game usage increases, GPA and SAT scores decrease. A chi-squared analysis found a p value for video game usage and GPA was greater than a 95% confidence level (0.005 < p < 0.01). This finding suggests that dependence exists. SAT score and video game usage also returned a p value that was significant (0.01 < p < 0.05). Chi-squared results were not significant when comparing time spent studying and an individual's SAT score. This research suggests that video games may have a detrimental effect on an individual's GPA and possibly on SAT scores. Although these results show statistical dependence, proving cause and effect remains difficult, since SAT scores represent a single test on a given day. The effects of video games maybe be cumulative; however, drawing a conclusion is difficult because SAT scores represent a measure of general knowledge. GPA versus video games is more reliable because both involve a continuous measurement of engaged activity and performance. The connection remains difficult because of the complex nature of student life and academic performance. Also, video game usage may simply be a function of specific personality types and characteristics.     

A Meta‐analysis of Letters of Recommendation in College and Graduate Admissions: Reasons for hope

Letters of recommendation are used extensively in academic admissions and personnel selection. Despite their prominence, comparatively little is known about their predictive power for multiple outcomes. This meta‐analysis combine the existing literature for college grade point average (GPA), academic outcomes of GPA, performance ratings, degree attainment, and research productivity for nonmedical school graduate programs, and GPA and internship performance ratings for medical school students. Intercorrelations with other commonly used predictors are also estimated and used to estimate incremental predictive power. Overall, letters of recommendation, in their current form, are generally positively but weakly correlated with multiple aspects of performance in post‐secondary education. However, letters do appear to provide incremental information about degree attainment, a difficult and heavily motivationally determined outcome.     

The relationship of academic self-efficacy to class participation and exam performance

This study examined the relationship of academic self-efficacy to engagement in class discussion and performance on major course exams among students (N = 165) in an undergraduate human development course. Cluster analysis was used to identify three levels of academic self-efficacy: high (n = 34), medium (n = 91), and low (n = 40). Results indicated that high, medium, and low academic self-efficacy all significantly predicted levels of student participation and exam performance, but the directionality of group placement on the academic measures was different for students at the high self-efficacy level versus those at the low and mid self-efficacy levels. Cluster analysis was also used to divide students into high, medium, and low grade-point average (GPA). These groups did not differ significantly on either self-efficacy or class participation but did differ on exam performance. Within GPA levels, self-efficacy was most strongly related to class participation and exam performance at the highest level of GPA and least related at the lowest level of GPA.     

Identifying the necessary and sufficient number of risk factors for predicting academic failure

Identifying the point at which individuals become at risk for academic failure (grade point average [GPA] < 2.0) involves an understanding of which and how many factors contribute to poor outcomes. School-related factors appear to be among the many factors that significantly impact academic success or failure. This study focused on 12 school-related factors. Using a thorough 5-step process, we identified which unique risk factors place one at risk for academic failure. Academic engagement, academic expectations, academic self-efficacy, homework completion, school relevance, school safety, teacher relationships (positive relationship), grade retention, school mobility, and school misbehaviors (negative relationship) were uniquely related to GPA even after controlling for all relevant covariates. Next, a receiver operating characteristic curve was used to determine a cutoff point for determining how many risk factors predict academic failure (GPA < 2.0). Results yielded a cutoff point of 2 risk factors for predicting academic failure, which provides a way for early identification of individuals who are at risk. Further implications of these findings are discussed.     

Putting the "affirm" into affirmative action: preferential selection and academic performance

Two studies explored the relation between academic performance and preferential selection. In Study 1, female participants were led to believe that they had been selected to be leaders in a team problem-solving task because of their gender, because of their gender and ability, or at random. Results showed that women who believed they had been selected because of their gender performed significantly worse on a subsequent problem-solving test than women who believed they had been selected at random and women who believed they were selected because of both their gender and their ability. In Study 2, students' suspicion of having benefited from race-based preferences in college admissions was negatively related to their grade point average (GPA). Furthermore, this suspicion partially mediated the GPA gap between academically stigmatized (Black and Latino) and nonstigmatized (Caucasian and Asian) students.     

Designing Pareto-optimal selection systems: formalizing the decisions required for selection system development

The article presents an analytic method for designing Pareto-optimal selection systems where the applicants belong to a mixture of candidate populations. The method is useful in both applied and research settings. In an applied context, the present method is the first to assist the selection practitioner when deciding on 6 major selection design issues: (1) the predictor subset, (2) the selection rule, (3) the selection staging, (4) the predictor sequencing, (5) the predictor weighting, and (6) the stage retention decision issue. From a research perspective, the method offers a unique opportunity for studying the impact and relative importance of different strategies for reducing adverse impact.     

Emotional intelligence: impact on post-secondary academic achievement

This research examined the simultaneous influences of emotional intelligence, adjustment to university, authoritative versus other parenting style, and high school average on first year university students’ grade point average (GPA) via structural equation modeling. The participants were 299 first year students from the social science faculty at Laurentian University, Canada. The sample was comprised of 86 males (28.7 %) and 213 females (71 %); most students (96.7 %) were between the ages of 17 and 23. The results showed that high school average had a direct influence on first year university GPA. Emotional Intelligence was not directly associated with first year university GPA, but it was significantly associated with adjustment to university which in turn was significantly associated with the first year GPA. This tends to suggest that the influence of emotional intelligence on academic achievement may be mediated by adjustment to university. Furthermore, parenting style (authoritative versus other) had a significant influence on adjustment to university but not on emotional intelligence and university GPA. Students who came from families with authoritative parenting styles tended to be better adjusted than students who came from families with other parenting styles (authoritarian and permissive). Problem behaviors such as alcohol use, academic dishonesty and academic procrastination were found to have a negative influence on university GPA and adjustment to university. In conclusion, emotional intelligence and an authoritative parenting style are influential in enhancing adjustment to university which in turns affects academic achievement in university.     

Combining predictors to achieve optimal trade-offs between selection quality and adverse impact

The authors propose a procedure to determine (a) predictor composites that result in a Pareto-optimal trade-off between the often competing goals in personnel selection of quality and adverse impact and (b) the relative importance of the quality and impact objectives that correspond to each of these trade-offs. They also investigated whether the obtained Pareto-optimal composites continue to perform well under variability of the selection parameters that characterize the intended selection decision. The results of this investigation indicate that this is indeed the case. The authors suggest that the procedure be used as one of a number of potential strategies for addressing the quality-adverse impact problem in settings where estimates of the selection parameters (e.g., validity estimates, predictor intercorrelations, subgroup mean differences on the predictors and criteria) are available from either a local validation study or meta-analytic research.     

Modeling the Practical Effects of Applicant Reactions: Subgroup Differences in Test‐Taking Motivation,Test Performance,and Selection Rates

Research suggests that Black–White differences in test‐taking motivation may be related to subgroup test score differences, but this research has not shown the extent to which minimizing subgroup motivation differences will reduce subgroup differences in selection rates and adverse impact. This Monte Carlo study examined how enhancing Blacks' test‐taking motivation for cognitive ability tests might reduce adverse impact across a range of (a) subgroup test differences, (b) selection ratios, (c) subgroup differences in test‐taking motivation, and (d) relationships between motivation and test scores. The results suggest that although enhancing test‐taking motivation will consistently reduce subgroup differences in test performance and adverse impact, the effect is often small and will not eliminate adverse impact for any condition we examine. However, under some conditions the reduction may be important, and the discussion considers conditions where even these minimal reductions may be practically helpful.     

Personality Testing in Personnel Selection: Adverse impact and differential hiring rates

Personality tests are often used in selection and have demonstrated predictive validity across a variety of occupational groups and performance criteria. Although different selection decision methods can be used to make selection decisions (e.g., compensatory top down, compensatory with sliding bands, noncompensatory) from personality test results, there is a paucity of research addressing the influence of these different selection decision methods on issues such as, adverse impact and differential hiring rates. This gap in the literature is redressed in the current study. Results from 398 bus operator candidates indicated that there may be adverse impact and differential hiring rate issues depending on the selection decision method used and the designated group being assessed. Implications and future research directions are discussed.     

Conscientiousness and achievement motivation predict performance

A prospective survey was conducted to identify predictors of university students' grade point average (GPA) using separate samples of female (N = 472) and male (N = 142) students over 9 months. Big five personality traits and achievement motivation were measured. Correlations show that conscientiousness (C) and achievement motivation explained variation in GPA. Latent variable structural equation modelling showed that the effect of C on GPA is fully mediated by achievement motivation for both female and male students. Invariant factor and structural mediation models across the female and male groups are also reported. Finally, the mediation model is shown to remain significant after scholastic achievement is controlled. The findings are interpreted within the framework of Neo‐Socioanalytic theory. Copyright © 2009 John Wiley & Sons, Ltd.     

Examination of ethnic group differential responding on a biodata instrument

Biodata is a selection device that is often cited for high criterion validity and low adverse impact, yet little research examines the latter point. Further, little is known about whether differential biodata item responding by ethnic group occurs, and if so, whether this impacts ethnic group differences, predictive bias, adverse impact, and criterion validity. Data from 5,242 applicants for a government agency position indicated that elimination of biodata item response options with differential ethnic group selection rates from scoring consideration resulted in a large decrease in ethnic group differences, no predictive bias, less potential adverse impact, and a nonsignificant decrease in criterion validity. Results are compared to a general mental ability measure. Implications and future research directions are discussed.     

Work Sample Selection Tests and Expected Reduction in Adverse Impact: A Cautionary Note

Almost all book chapters, review articles, and textbooks in the field of personnel selection suggest that work sample tests are associated with lower levels of ethnic group adverse impact than paper‐and‐pencil tests of cognitive ability. However, the empirical literature is heavily dependent on adverse impact estimates obtained from incumbent samples rather than applicant samples. As such, parameter estimates are subject to range restriction from prior selection and on‐the‐job experiences. Further, an emerging consensus in the selection literature indicates that any method of assessment can be associated with high or low levels of adverse impact – depending on the nature of the construct(s) being measured. To begin to examine these issues, we present two recent sets of applicant data from public sector jobs (for a management and entry‐level job, each with technical and interpersonal skill requirements) and show that adverse impact of work sample exams might be more extensive than realized. We discuss the mismatch between what the field of employee selection “knows” and what is said in articles/summaries about work samples. Employers and other practitioners who depend on advice in academic overview articles may be overly optimistic and eventually disappointed by minimal reduction in adverse impact. Implications for workforce diversity and future research needs are also discussed.