Chad H Van Iddekinge, John D Arnold, Sara J Krivacek, Rachel E Frieder, Philip L Roth
{"title":"做出成绩?将学习成绩作为工作表现和离职预测因素的荟萃分析。","authors":"Chad H Van Iddekinge, John D Arnold, Sara J Krivacek, Rachel E Frieder, Philip L Roth","doi":"10.1037/apl0001212","DOIUrl":null,"url":null,"abstract":"<p><p>Many organizations assess job applicants' academic performance (AP) when making selection decisions. However, researchers and practitioners recently have suggested that AP is not as relevant to work behavior as it used to be due to factors such as grade inflation and increased differences between academic and work contexts. The present meta-analysis examines whether, and under what conditions, AP is a useful predictor of work behavior. Mean correlations (corrected for error in the criterion) between AP and outcomes were .21 for job performance (<i>k</i> = 114), .34 for training performance (<i>k</i> = 8), and -.02 for turnover (<i>k</i> = 20). There was considerable heterogeneity in validity estimates for job performance (80% credibility interval [.04, .37]). Moderator analyses revealed that AP is a better predictor of performance (a) for AP measures that are more relevant to students' future jobs, (b) for professor ratings of AP than for grades and class rank, (c) for samples that include applicants from the same university or from the same major, and (d) for official records of AP than for applicant self-reports. Job relevance was the strongest and most consistent moderator with operational validities in the .30s and .40s for measures that assessed AP in major-specific courses or courses in which students are evaluated on behaviors relevant to their future jobs (e.g., practicum classes). Overall, researchers and organizations should carefully consider whether and how AP is relevant to particular jobs and outcomes, as well as use designs and measures that optimize the predictive value of AP. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":15135,"journal":{"name":"Journal of Applied Psychology","volume":" ","pages":"1972-1993"},"PeriodicalIF":9.4000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Making the grade? A meta-analysis of academic performance as a predictor of work performance and turnover.\",\"authors\":\"Chad H Van Iddekinge, John D Arnold, Sara J Krivacek, Rachel E Frieder, Philip L Roth\",\"doi\":\"10.1037/apl0001212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Many organizations assess job applicants' academic performance (AP) when making selection decisions. However, researchers and practitioners recently have suggested that AP is not as relevant to work behavior as it used to be due to factors such as grade inflation and increased differences between academic and work contexts. The present meta-analysis examines whether, and under what conditions, AP is a useful predictor of work behavior. Mean correlations (corrected for error in the criterion) between AP and outcomes were .21 for job performance (<i>k</i> = 114), .34 for training performance (<i>k</i> = 8), and -.02 for turnover (<i>k</i> = 20). There was considerable heterogeneity in validity estimates for job performance (80% credibility interval [.04, .37]). Moderator analyses revealed that AP is a better predictor of performance (a) for AP measures that are more relevant to students' future jobs, (b) for professor ratings of AP than for grades and class rank, (c) for samples that include applicants from the same university or from the same major, and (d) for official records of AP than for applicant self-reports. Job relevance was the strongest and most consistent moderator with operational validities in the .30s and .40s for measures that assessed AP in major-specific courses or courses in which students are evaluated on behaviors relevant to their future jobs (e.g., practicum classes). Overall, researchers and organizations should carefully consider whether and how AP is relevant to particular jobs and outcomes, as well as use designs and measures that optimize the predictive value of AP. 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Making the grade? A meta-analysis of academic performance as a predictor of work performance and turnover.
Many organizations assess job applicants' academic performance (AP) when making selection decisions. However, researchers and practitioners recently have suggested that AP is not as relevant to work behavior as it used to be due to factors such as grade inflation and increased differences between academic and work contexts. The present meta-analysis examines whether, and under what conditions, AP is a useful predictor of work behavior. Mean correlations (corrected for error in the criterion) between AP and outcomes were .21 for job performance (k = 114), .34 for training performance (k = 8), and -.02 for turnover (k = 20). There was considerable heterogeneity in validity estimates for job performance (80% credibility interval [.04, .37]). Moderator analyses revealed that AP is a better predictor of performance (a) for AP measures that are more relevant to students' future jobs, (b) for professor ratings of AP than for grades and class rank, (c) for samples that include applicants from the same university or from the same major, and (d) for official records of AP than for applicant self-reports. Job relevance was the strongest and most consistent moderator with operational validities in the .30s and .40s for measures that assessed AP in major-specific courses or courses in which students are evaluated on behaviors relevant to their future jobs (e.g., practicum classes). Overall, researchers and organizations should carefully consider whether and how AP is relevant to particular jobs and outcomes, as well as use designs and measures that optimize the predictive value of AP. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including:
1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses).
2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research.
3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.