Cited by 259Higher Education and EmployabilityEducational Outcomes and InfluencesEmployer Branding and e-HRM

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Meta-analyzing the relationship between grades and job performance.

Roth, Philip L., BeVier, Craig A., Switzer, Fred S., Schippmann, Jeffery S.·1996·Journal of Applied Psychology

Open this paper in CoChat — free account

Abstract

Employers and academics have differing views on the value of grades for predicting job performance. Employers often believe grades are useful predictors, and they make hiring decisions that are based on them. Many academics believe that grades have little predictive validity. Past meta-analyses of the grades-performance relationship have suffered either from small sample sizes or the inability to correct observed correlations for research artifacts. This study demonstrated the observed correlation between grades and job performance was.16. Correction for research artifacts increased the correlation to the.30s. Several factors were found to moderate the relationship. The most powerful factors were the year of research publication and the time between graduation and performance measurement.

Integrity signals

Registry

Crossref · 10.1037/0021-9010.81.5.548

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS
BARRICK, M. R., & MOUNT, M. K. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb00688.x · Cited by 8,689
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
How College Affects Students: Findings and Insights From Twenty Years of Research.
Weidman, J. C., Pascarella, E. T., & Terenzini, P. T. (1992) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075453 · Cited by 3,072
Validity and utility of alternative predictors of job performance.
Hunter, J. E., & Hunter, R. F. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.96.1.72 · Cited by 2,107
The validity of employment interviews: A comprehensive review and meta-analysis.
McDaniel, M. A., Whetzel, D. L., Schmidt, F., & Maurer, S. D. (1994) · Journal of Applied Psychology · doi:10.1037/0021-9010.79.4.599 · Cited by 751
Relative importance of applicant sex, attractiveness, and scholastic standing in evaluation of job applicant resumes.
Dipboye, R. L., Fromkin, H. L., & Wiback, K. (1975) · Journal of Applied Psychology · doi:10.1037/h0076352 · Cited by 489
School And Society
Feinberg, W., & Soltis, J. F. (1985) · Medical Entomology and Zoology · Cited by 393
VALIDITY AND FAIRNESS OF SOME ALTERNATIVE EMPLOYEE SELECTION PROCEDURES1
REILLY, R. R., & Chao, G. T. (1982) · Personnel Psychology · doi:10.1111/j.1744-6570.1982.tb02184.x · Cited by 393
Performance Measurement and Theory
(2017) · Routledge eBooks · doi:10.4324/9781315211947 · Cited by 359
PERSONALITY AND JOB PERFORMANCE: EVIDENCE OF INCREMENTAL VALIDITY
Day, D. V., & Silverman, S. B. (1989) · Personnel Psychology · doi:10.1111/j.1744-6570.1989.tb01549.x · Cited by 317

Show all 62 references

Sorted by citations

Corporate Social and Financial Performance: A Meta-Analysis
Orlitzky, M., Schmidt, F. L., & Rynes, S. L. (2003) · Organization Studies · doi:10.1177/0170840603024003910 · Cited by 7,641
The job satisfaction–job performance relationship: A qualitative and quantitative review.
Judge, T. A., Thoresen, C. J., Bono, J. E., & Patton, G. K. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.3.376 · Cited by 4,760
A meta-analysis of the five-factor model of personality and academic performance.
Poropat, A. E. (2009) · Psychological Bulletin · doi:10.1037/a0014996 · Cited by 2,729
Psychological testing and psychological assessment: A review of evidence and issues.
Meyer, G. J., Finn, S. E., Eyde, L. D., Kay, G. G., Moreland, K. L., Dies, R. R., Eisman, E. J., Kubiszyn, T. W., & Reed, G. M. (2001) · American Psychologist · doi:10.1037//0003-066x.56.2.128 · Cited by 1,469
The Validity of Self-Reported Grade Point Averages, Class Ranks, and Test Scores: A Meta-Analysis and Review of the Literature
Kuncel, N. R., Credé, M., & Thomas, L. L. (2005) · Review of Educational Research · doi:10.3102/00346543075001063 · Cited by 1,137
New Generation, Great Expectations: A Field Study of the Millennial Generation
Ng, E. S. W., Schweitzer, L., & Lyons, S. T. (2010) · Journal of Business and Psychology · doi:10.1007/s10869-010-9159-4 · Cited by 1,133
Intelligence and socioeconomic success: A meta-analytic review of longitudinal research
Strenze, T. (2006) · Intelligence · doi:10.1016/j.intell.2006.09.004 · Cited by 1,019
Academic Performance, Career Potential, Creativity, and Job Performance: Can One Construct Predict Them All?
Kuncel, N. R., Hezlett, S. A., & Öneş, D. S. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.148 · Cited by 958
Factors associated with success in medical school: systematic review of the literature
Ferguson, E., James, D., & Madeley, L. (2002) · BMJ · doi:10.1136/bmj.324.7343.952 · Cited by 811
A comprehensive meta-analysis of the predictive validity of the Graduate Record Examinations: Implications for graduate student selection and performance.
Kuncel, N. R., Hezlett, S. A., & Ones, D. S. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.1.162 · Cited by 639
Firm reputation and applicant pool characteristics
Turban, D. B., & Cable, D. M. (2003) · Journal of Organizational Behavior · doi:10.1002/job.215 · Cited by 615
The importance of motivation as a predictor of school achievement
Steinmayr, R., & Spinath, B. (2008) · Learning and Individual Differences · doi:10.1016/j.lindif.2008.05.004 · Cited by 592
How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement.
Muenks, K. M., Wigfield, A., Yang, J. S., & O’Neal, C. R. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000153 · Cited by 481
Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value
Spinath, B., Spinath, F. M., Harlaar, N., & Plomin, R. J. (2006) · Intelligence · doi:10.1016/j.intell.2005.11.004 · Cited by 467
Unraveling the differential effects of motivational and skills, social, and self-management measures from traditional predictors of college outcomes.
Robbins, S. B., Allen, J., Casillas, A., Peterson, C. H., & Le, H. (2006) · Journal of Educational Psychology · doi:10.1037/0022-0663.98.3.598 · Cited by 362
Sex differences in school achievement: what are the roles of personality and achievement motivation?
Steinmayr, R., & Spinath, B. (2008) · European Journal of Personality · doi:10.1002/per.676 · Cited by 307
Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA
Hussain, S., Dahan, N. A., Ba-Alwi, F. M., & Ribata, N. (2018) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v9.i2.pp447-459 · Cited by 250
Individual Differences
Caprara, G. V., & Cervone, D. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812767.006 · Cited by 244
Does socioeconomic status explain the relationship between admissions tests and post-secondary academic performance?
Sackett, P. R., Kuncel, N. R., Arneson, J. J., Cooper, S. R., & Waters, S. D. (2009) · Psychological Bulletin · doi:10.1037/a0013978 · Cited by 241
Work readiness in graduate recruitment and selection: A review of current assessment methods
Caballero, C. L., & Walker, A. (2010) · Journal of Teaching and Learning for Graduate Employability · doi:10.21153/jtlge2010vol1no1art546 · Cited by 289
Social Media for Selection? Validity and Adverse Impact Potential of a Facebook-Based Assessment
Iddekinge, C. H. V., Lanivich, S. E., Roth, P. L., & Junco, E. (2013) · Journal of Management · doi:10.1177/0149206313515524 · Cited by 251
Self-citation
The relative importance of intelligence and motivation as predictors of school achievement: A meta-analysis
Kriegbaum, K., Becker, N., & Spinath, B. (2018) · Educational Research Review · doi:10.1016/j.edurev.2018.10.001 · Cited by 277
Relationships Between Problem Behaviors and Academic Achievement in Adolescents: The Unique Role of Attention Problems
Barriga, A. Q., Doran, J. W., Newell, S. B., Morrison, E. M., Barbetti, V., & Dean Robbins, B. (2002) · Journal of Emotional and Behavioral Disorders · doi:10.1177/10634266020100040501 · Cited by 191
Social Networking Websites, Personality Ratings, and the Organizational Context: More Than Meets the Eye?1
Kluemper, D. H., Rosen, P. A., & Mossholder, K. W. (2012) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2011.00881.x · Cited by 178
Perceived employability of business graduates: The effect of academic performance and extracurricular activities
Pinto, L. H., & Ramalheira, D. C. (2017) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2017.01.005 · Cited by 177
I used to work at Goldman Sachs! How firms benefit from organizational status in the market for human capital
Bidwell, M. J., Won, S., Barbulescu, R., & Mollick, E. (2014) · Strategic Management Journal · doi:10.1002/smj.2272 · Cited by 170
Longitudinal links between career adaptability and academic achievement in adolescence
Negru‐Subtirica, O., & Pop, E. I. (2016) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2016.02.006 · Cited by 169
GPA in Research Studies: An Invaluable but Neglected Opportunity
Bacon, D. R., & Bean, B. (2006) · Journal of Marketing Education · doi:10.1177/0273475305284638 · Cited by 164
Refining Grit in Academic Performance: The Mediational Role of Psychological Capital
Luthans, K. W., Luthans, B. C., & Chaffin, T. D. (2018) · Organizational Behavior Teaching Review · doi:10.1177/1052562918804282 · Cited by 191
Assessing Cumulative Evidence within ‘Macro’ Research: Why Meta-Analysis Should be Preferred Over Vote Counting
Combs, J. G., Ketchen, D. J., Crook, T. R., & Roth, P. L. (2009) · Journal of Management Studies · doi:10.1111/j.1467-6486.2009.00899.x · Cited by 160
Self-citation
Comprehensive meta-analysis of the construct validity of the employment interview
Salgado, J. F., & Moscoso, S. (2002) · European Journal of Work and Organizational Psychology · doi:10.1080/13594320244000184 · Cited by 157
Revealed or Concealed? Transparency of Procedures, Decisions, and Judgment Calls in Meta-Analyses
Aytug, Z. G., Rothstein, H. R., Zhou, W., & Kern, M. C. (2011) · Organizational Research Methods · doi:10.1177/1094428111403495 · Cited by 147
Predicting key educational outcomes in academic trajectories: a machine-learning approach
Musso, M., Rodríguez-Hernández, C. F., & Cascallar, E. C. (2020) · Higher Education · doi:10.1007/s10734-020-00520-7 · Cited by 168
College grade point average as a personnel selection device: Ethnic group differences and potential adverse impact.
Roth, P. L., & Bobko, P. (2000) · Journal of Applied Psychology · doi:10.1037//0021-9010.85.3.399 · Cited by 135
Self-citation
Which factors best account for academic success: Those which college students can control or those they cannot?
Dollinger, S. J., Matyja, A. M., & Huber, J. L. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2007.11.007 · Cited by 126
RECRUITMENT EVALUATION: THE CASE FOR ASSESSING THE QUALITY OF APPLICANTS ATTRACTED
Carlson, K. D., Connerley, M. L., & Mecham, R. L. (2002) · Personnel Psychology · doi:10.1111/j.1744-6570.2002.tb00118.x · Cited by 116
Meta-Analyzing the Relation between Grades and Salary
Roth, P. L., & Clarke, R. L. (1998) · Journal of Vocational Behavior · doi:10.1006/jvbe.1997.1621 · Cited by 111
Self-citation
The role of task persistence in young adolescence for successful educational and occupational attainment in middle adulthood.
Andersson, H., & Bergman, L. R. (2011) · Developmental Psychology · doi:10.1037/a0023786 · Cited by 119
Revival of test bias research in preemployment testing.
Aguinis, H., Culpepper, S. A., & Pierce, C. A. (2010) · Journal of Applied Psychology · doi:10.1037/a0018714 · Cited by 112
Ability and Trait Complex Predictors of Academic and Job Performance: A Person–Situation Approach
Kanfer, R., Wolf, M. B., Kantrowitz, T. M., & Ackerman, P. L. (2009) · Applied Psychology · doi:10.1111/j.1464-0597.2009.00415.x · Cited by 104
On the interplay between academic achievement and educational identity: A longitudinal study
Pop, E. I., Negru‐Subtirica, O., Crocetti, E., Opre, A., & Meeus, W. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2015.11.004 · Cited by 99
The roles of cognitive and motivational predictors in explaining school achievement in elementary school
Weber, H. S., Lu, L., Shi, J., & Spinath, F. M. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.03.008 · Cited by 88
The Eysenckian personality factors and their correlations with academic performance
Poropat, A. E. (2010) · British Journal of Educational Psychology · doi:10.1348/000709910x497671 · Cited by 85
On the bias of Huffcutt and Arthur's (1995) procedure for identifying outliers in the meta-analysis of correlations.
Beal, D., Corey, D. M., & Dunlap, W. (2002) · Journal of Applied Psychology · doi:10.1037/0021-9010.87.3.583 · Cited by 93
Using Recruiter Assessments of Applicants’ Resume Content to Predict Applicant Mental Ability and Big Five Personality Dimensions
Cole, M. S., Feild, H. S., & Giles, W. F. (2003) · International Journal of Selection and Assessment · doi:10.1111/1468-2389.00228 · Cited by 93
Effects of pre-graduation characteristics and working environments on transition shock of newly graduated nurses: A longitudinal study
Kim, E. Y., & Yeo, J. H. (2019) · Nurse Education Today · doi:10.1016/j.nedt.2019.04.002 · Cited by 77
Learner self-efficacy, goal orientation, and academic achievement: exploring mediating and moderating relationships
Honicke, T., Broadbent, J., & Fuller‐Tyszkiewicz, M. (2019) · Higher Education Research & Development · doi:10.1080/07294360.2019.1685941 · Cited by 99
A meta‐analysis of the criterion‐related validity of prehire work experience
Iddekinge, C. H. V., Arnold, J. D., Frieder, R. E., & Roth, P. L. (2019) · Personnel Psychology · doi:10.1111/peps.12335 · Cited by 81
Self-citation
The use of biodata for employee selection: Past research and future directions
Breaugh, J. A. (2009) · Human Resource Management Review · doi:10.1016/j.hrmr.2009.02.003 · Cited by 77
A Longitudinal Examination of the Effects of LMX, Ability, and Differentiation on Team Performance
Naidoo, L. J., Scherbaum, C. A., Goldstein, H. W., & Graen, G. B. (2010) · Journal of Business and Psychology · doi:10.1007/s10869-010-9193-2 · Cited by 82
RECRUITERS' USE OF GPA IN INITIAL SCREENING DECISIONS: HIGHER GPAs DON'T ALWAYS MAKE THE CUT
McKinney, A. P., Carlson, K. D., Mecham, R. L., D'ANGELO, N. C., & Connerley, M. L. (2003) · Personnel Psychology · doi:10.1111/j.1744-6570.2003.tb00241.x · Cited by 69
Initial impressions: What they are, what they are not, and how they influence structured interview outcomes.
Swider, B. W., Barrick, M. R., & Harris, T. B. (2016) · Journal of Applied Psychology · doi:10.1037/apl0000077 · Cited by 70
A Pluralist Conceptualization of Scholarly Impact in Management Education: Students as Stakeholders
Aguinis, H., Ramani, R. S., Alabduljader, N., Bailey, J. R., & Lee, J. (2018) · Academy of Management Learning and Education · doi:10.5465/amle.2017.0488 · Cited by 67
Predicting general academic performance and identifying the differential contribution of participating variables using artificial neural networks
Musso, M., Kyndt, E., Cascallar, E. C., & Dochy, F. J. R. C. (2013) · Frontline Learning Research · doi:10.14786/flr.v1i1.13 · Cited by 68
Sexual orientation discrimination in the Cypriot labour market: distastes or uncertainty?
Drydakis, N. (2014) · International Journal of Manpower · doi:10.1108/ijm-02-2012-0026 · Cited by 61
Relationships between learning approach, procrastination and academic achievement amongst first-year university students
Sæle, R. G., Dahl, T. I., Sørlie, T., & Friborg, O. (2016) · Higher Education · doi:10.1007/s10734-016-0075-z · Cited by 62
Immersive Learning Predicted: Presence, Prior Knowledge, and School Performance Influence Learning Outcomes in Immersive Educational Virtual Environments
Dengel, A., & Mägdefrau, J. (2020) · International Conference of the Immersive Learning Research Network (iLRN) · doi:10.23919/ilrn47897.2020.9155084 · Cited by 70
Exploring the Relationship of a Gamified Assessment with Performance
Nikolaou, I., Georgiou, K., & Kotsasarlidou, V. (2019) · The Spanish Journal of Psychology · doi:10.1017/sjp.2019.5 · Cited by 65
Student Assessment Center Performance in the Prediction of Early Career Success
Waldman, D. A., & Korbar, T. (2004) · Academy of Management Learning and Education · doi:10.5465/amle.2004.13500529 · Cited by 61
The Relation of a Work-Based Mentoring Program to the Academic Performance and Behavior of African American Students
Linnehan, F. (2001) · Journal of Vocational Behavior · doi:10.1006/jvbe.2001.1810 · Cited by 58
Using available signals on LinkedIn for personality assessment
Fernandez, S., Stöcklin, M., Terrier, L., & Kim, S. (2021) · Journal of Research in Personality · doi:10.1016/j.jrp.2021.104122 · Cited by 64
Technical and non‐technical education and the employability of engineering graduates: an Indian case study
Gokuladas, V. K. (2010) · International Journal of Training and Development · doi:10.1111/j.1468-2419.2010.00346.x · Cited by 56
Sports at Work
Kniffin, K. M., Wansink, B. C., & Shimizu, M. (2014) · Journal of Leadership & Organizational Studies · doi:10.1177/1548051814538099 · Cited by 54
Grades as Money and the Role of the Market Metaphor in Management Education
Beatty, J. E. (2004) · Academy of Management Learning and Education · doi:10.5465/amle.2004.13500516 · Cited by 53
Nightly sleep duration predicts grade point average in the first year of college
Creswell, J. D., Tumminia, M. J., Price, S., Sefidgar, Y., Cohen, S., Ren, Y., Brown, J., Dey, A. K., Dutcher, J. M., Villalba, D., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209123120 · Cited by 53
“Moreover, meta-analyses suggest that college GPA reliably predicts future job performance success (2).”
PISA proficiency scores predict educational outcomes
Fischbach, A., Keller, U., Preckel, F., & Brunner, M. (2012) · Learning and Individual Differences · doi:10.1016/j.lindif.2012.10.012 · Cited by 66
Natural Learning in Higher Education
Armstrong, J. S. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1428-6_994 · Cited by 50
Using undergraduate grade point average as a selection tool: A synthesis of the literature.
Imose, R. A., & Barber, L. K. (2015) · The Psychologist-Manager Journal · doi:10.1037/mgr0000025 · Cited by 60
Industrial-Organizational Psychology and Organizational Behavior Management
Bucklin, B. R., Alvero, A. M., Dickinson, A. M., Austin, J., & Jackson, A. K. (2000) · Journal of Organizational Behavior Management · doi:10.1300/j075v20n02_03 · Cited by 47
The Reliability of College Grades
Beatty, A. S., Walmsley, P. T., Sackett, P. R., Kuncel, N. R., & Koch, A. J. (2015) · Educational Measurement Issues and Practice · doi:10.1111/emip.12096 · Cited by 47
The Graduate Management Admission Test (GMAT) is Even More Valid Than We Thought: A New Development in Meta-Analysis and Its Implications for the Validity of the GMAT
Oh, I., Schmidt, F. L., Shaffer, J. A., & Le, H. (2008) · Academy of Management Learning and Education · doi:10.5465/amle.2008.35882196 · Cited by 46
Believing in Neuromyths Makes Neither a Bad Nor Good Student‐Teacher: The Relationship between Neuromyths and Academic Achievement in Teacher Education
Krammer, G., Vogel, S. E., & Grabner, R. H. (2020) · Mind Brain and Education · doi:10.1111/mbe.12266 · Cited by 45
Big Five personality traits as predictors of the academic success of university and college students in early childhood education
Smidt, W. (2015) · Journal of Education for Teaching International Research and Pedagogy · doi:10.1080/02607476.2015.1080419 · Cited by 46
Natural Learning in Higher Education
Armstrong, & Scott, J. (2012) · SpringerReference · doi:10.1007/springerreference_302725 · Cited by 41
Bullying at school and labour market outcomes
Drydakis, N. (2014) · International Journal of Manpower · doi:10.1108/ijm-08-2012-0122 · Cited by 48
Early morning university classes are associated with impaired sleep and academic performance
Yeo, S. C., Lai, C. K., Tan, J., Lim, S., Chandramoghan, Y., Tan, T. K., & Gooley, J. J. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01531-x · Cited by 58
Do teacher judgments of student intelligence predict life outcomes?
Fischbach, A., Baudson, T. G., Preckel, F., Martin, R., & Brunner, M. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.07.004 · Cited by 48
‘In the eyes of the beholder’: the influence of academic performance and extracurricular activities on the perceived employability of Chinese business graduates
Pinto, L. H., & He, K. (2018) · Asia Pacific Journal of Human Resources · doi:10.1111/1744-7941.12200 · Cited by 37
Good gamers, good managers? A proof-of-concept study with Sid Meier’s Civilization
Simons, A., Wohlgenannt, I., Weinmann, M., & Fleischer, S. (2020) · Review of Managerial Science · doi:10.1007/s11846-020-00378-0 · Cited by 44
Choosing the best method for local validity estimation: Relative accuracy of meta-analysis versus a local study versus Bayes-analysis.
Newman, D. A., Jacobs, R. R., & Bartram, D. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.5.1394 · Cited by 41
Assessment of cognitive flexibility in personnel selection: Validity and acceptance of a gamified version of the Wisconsin Card Sorting Test
Hommel, B. E., Ruppel, R., & Zacher, H. (2021) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12362 · Cited by 40
Relationship Conflict Improves Team Performance Assessment Accuracy: Evidence From a Multilevel Study
Breugst, N., Patzelt, H., Shepherd, D. A., & Aguinis, H. (2012) · Academy of Management Learning and Education · doi:10.5465/amle.2011.0032 · Cited by 40
Intellectual competence and academic performance: A Spanish study
Chamorro‐Premuzic, T., Quiroga, M. Á., & Colom, R. (2009) · Learning and Individual Differences · doi:10.1016/j.lindif.2009.05.002 · Cited by 33
Metacognition and Transfer: Keys to Improving Marketing Education
Ramocki, S. P. (2007) · Journal of Marketing Education · doi:10.1177/0273475306291469 · Cited by 33
Realistic job expectations predict academic achievement
Krammer, G., Sommer, M., & Arendasy, M. E. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.09.010 · Cited by 30
The academic industry’s response to generative artificial intelligence: An institutional analysis of large language models
Kshetri, N. (2024) · Telecommunications Policy · doi:10.1016/j.telpol.2024.102760 · Cited by 44
Student Performance: Assessment Centers Versus Traditional Classroom Evaluation Techniques
Bartels, L. K., Bommer, W. H., & Rubin, R. S. (2000) · Journal of Education for Business · doi:10.1080/08832320009599014 · Cited by 31
Socioeconomic Status and the Relationship Between the SAT and Freshman GPA: An Analysis of Data from 41 Colleges and Universities
Waters, S. D., Cooper, S. R., Kuncel, N. R., Sackett, P. R., & Arneson, J. J. (2009) · Cited by 30
Moderators of the Relationship Between Cognitive Ability and Performance: General Versus Context–Specific Achievement Motivation1
Hirschfeld, R. R., Lawson, L., & Mossholder, K. W. (2004) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2004.tb01983.x · Cited by 31
Prediction of Excellence in School, Higher Education, and Work
Trost, G. (2000) · Elsevier eBooks · doi:10.1016/b978-008043796-5/50023-1 · Cited by 29
Dimensional comparisons in subject-specific academic self-concepts and achievements: A quasi-experimental approach
Rost, D. H., Sparfeldt, J. R., Dickhäuser, O., & Schilling, S. R. (2005) · Learning and Instruction · doi:10.1016/j.learninstruc.2005.08.003 · Cited by 28
A comparative study of practitioner perceptions of selection methods in the United Kingdom
Jackson, D. J. R., Dewberry, C., Gallagher, J., & Close, L. (2017) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.12187 · Cited by 30
How do study satisfaction and academic performance interrelate? An investigation with students of Social Work programs
Blanz, M. (2013) · European Journal of Social Work · doi:10.1080/13691457.2013.784190 · Cited by 27
Multiple test batteries as predictors for pilot performance: A meta‐analytic investigation
ALMamari, K., & Traynor, A. (2019) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12258 · Cited by 26
Predictors of self-reported academic performance among undergraduate medical students of Hawassa University, Ethiopia
Tadesse, B. T., Gedefaw, A., & Asefa, A. (2015) · Advances in Medical Education and Practice · doi:10.2147/amep.s78604 · Cited by 25
Evidence of differences in applicant pool quality
Connerley, M. L., Carlson, K. D., & Mecham, R. L. (2003) · Personnel Review · doi:10.1108/00483480310454709 · Cited by 24
Working memory, negative affect and personal assets: How do they relate to mathematics and reading literacy?
Donolato, E., Giofrè, D., & Mammarella, I. C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218921 · Cited by 26
Validity of evaluative factors from Big Five and HEXACO questionnaires
Biderman, M. D., McAbee, S. T., Hendy, N. T., & Chen, Z. J. (2019) · Journal of Research in Personality · doi:10.1016/j.jrp.2019.04.010 · Cited by 22
The Relationship Among Undergraduate Students’ Career Anxiety, Choice Goals, and Academic Performance
Boo, S., Kim, M., & Kim, S.-H. (2021) · Journal of Hospitality and Tourism Education · doi:10.1080/10963758.2021.1963756 · Cited by 24
Investigating Student Perceptions of Instructor Talk: Alignment with Researchers’ Categorizations and Analysis of Remembered Language
Ovid, D., Rice, M. M., Luna, J. V., Tabayoyong, K., Lajevardi, P., & Tanner, K. D. (2021) · CBE—Life Sciences Education · doi:10.1187/cbe.21-06-0153 · Cited by 28

Authors: Roth, P. L., BeVier, C. A., Switzer, F. S., & Schippmann, J. S.
Affiliations: Clemson University (US)
ORCID: Roth, Philip L.
Schippmann, Jeffery S.
Venue: Journal of Applied Psychology
Publisher: American Psychological Association (APA)
Published: 1996-10
Volume: 81
Issue: 5
Pages: 548-556
ISSN: 0021-9010 (ISSN-L)
1939-1854
DOI: 10.1037/0021-9010.81.5.548
OpenAlex: W2054953690
Cited by: 259
References: 62
Citations by year: 2026: 4 · 2025: 7 · 2024: 9 · 2023: 11 · 2022: 9 · 2021: 17 · 2020: 19 · 2019: 14 · 2018: 13 · 2017: 9 · 2016: 12 · 2015: 18 · 2014: 10 · 2013: 11 · 2012: 10
FWCI: 4.82
Type: journal article
Language: en
Open access: closed
Locations: Journal of Applied Psychology (publishedVersion)
Topics: Social Sciences › Education › Higher Education and Employability
Social Sciences › Education › Educational Outcomes and Influences
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords: student grades, employee performance, predictive validity, hiring decisions, research artifacts, moderators

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Meta-analyzing the relationship between grades and job performance.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks