
Jeffrey A. DahlkeHuman Resources Research Organization (HumRRO)
Jeffrey A. Dahlke
Ph.D.
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17
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Publications (17)
We examine longitudinal data from 120,384 students who took a version of the PSAT/SAT in the 9th, 10th, 11th, and 12th grades. We investigate score changes over time and show that socioeconomic status (SES) is related to the degree of score improvement. We note that the 9th and 10th grade PSAT are low-stakes tests, while the operational SAT is a hi...
There is a U.S. workforce shortage in Science, Technology, Engineering, and Mathematics (STEM) fields, with women often being underrepresented. To explore gender differences in the completion of a STEM degree, we examined predictors of persistence from the time of college application through the end of the fourth year of college for 40,974 undergra...
There is a long history of examining assessments used in college admissions or personnel selection for predictive bias, also called differential prediction, to determine whether a selection system predicts comparable levels of performance for individuals from different demographic groups who have the same assessment scores. We expand on previous re...
Most published meta-analyses address only artifactual variance due to sampling error and ignore the role of other statistical and psychometric artifacts, such as measurement error variance (due to factors including unreliability of measurements, group misclassification, and variable treatment strength) and selection effects (including range restric...
Most published meta-analyses address only artefactual variance due to sampling error and ignore the role of other statistical and psychometric artefacts, such as measurement error (due to factors including unreliability of measurements, group misclassification, and variable treatment strength) and selection effects (including range restriction/enha...
Range restriction is a common problem in organizational research and is an important statistical artifact to correct for in meta-analysis. Historically, researchers have had to rely on range-restriction corrections that only make use of range-restriction information for one variable, but it is not uncommon for researchers to have such information f...
Range restriction is a common problem in organizational research and is an important statistical artifact to correct for in meta-analysis. Historically, researchers have had to rely on range-restriction correc-tions that only make use of range-restriction information for one variable, but it is not uncommon for researchers to have such information...
We illustrate the effects of range restriction and a form of criterion contamination (individual differences in course-taking patterns) on the validity of SAT scores for predicting college academic performance. College data facilitate exploration of differential validity’s determinants because they (a) permit the use multivariate range-restriction...
The inflow of immigrants challenges organizations to consider alternative selection procedures that reduce potential minority (immigrants)–majority (natives) differences, while maintaining valid predictions of performance. To deal with this challenge, this paper proposes response format as a practically and theoretically relevant factor for situati...
Over the past four decades, psychometric meta-analysis (PMA) has emerged a key way that psychological disciplines build cumulative scientific knowledge. Despite the importance and popularity of PMA, software implementing the method has tended to be closed-source, inflexible, limited in terms of the psychometric corrections available, cumbersome to...
Purpose:
To determine whether scores on structured interview (SI) questions designed to measure noncognitive competencies in physicians (1) predict subsequent first-year resident performance on Accreditation Council for Graduate Medical Education (ACGME) milestones and (2) add incremental validity over United States Medical Licensing Examination (...
We explore potential explanations for validity degradation using a unique predictive validation data set containing up to four consecutive years of high school students’ cognitive test scores and four complete years of those students’ college grades. This data set permits analyses that disentangle the effects of predictor-score age and timing of cr...
We provide a follow-up treatment of Nye and Sackett’s (2017) recently proposed dMod standardized effect-size measures for categorical-moderation analyses. We offer several refinements to Nye and Sackett’s effect-size equations that increase the precision of dMod estimates by accounting for asymmetries in predictor distributions, facilitate the inte...
The authors quantify the conventional wisdom that predictors' correlations with cognitive ability are positively related to subgroup mean differences. Using meta-analytic and large-N data from diverse predictors, they found that cognitive saturation correlates .84 with predictors' artifact-corrected Black-White d values and .95 with predictors' art...
It is common to add an additional predictor to a selection system with the goal of increasing criterion-related validity. Research on the incremental validity of a second predictor is generally based on forming a regression-weighted composite of the predictors. However, in practice predictors are commonly used in ways other than regression-weighted...
Surveys of 1217 undergraduate students supported the reliability (inter-item and test–retest) and validity of the Prosocial and Aggressive Driving Inventory (PADI). Principal component analyses on the PADI items yielded two scales: Prosocial Driving (17 items) and Aggressive Driving (12 items). Prosocial Driving was associated with fewer reported t...