Literature DB >> 15161408

Examining the effects of differential item (functioning and differential) test functioning on selection decisions: when are statistically significant effects practically important?

Stephen Stark1, Oleksandr S Chernyshenko, Fritz Drasgow.   

Abstract

Item response theory differential test functioning (DTP) methods are often used to address issues in personnel selection, but the results are frequently difficult to interpret because statistically significant findings may have little practical importance. In this article, the authors proposed 2 effect size measures for DTP. One related DTP to mean raw score differences across groups: the other related DTP to the 4/5th rule for adverse impact at successive cut scores. The effects of DTP were examined in the context of personality assessment, professional licensure, and college admissions. Overall, the result indicated that although many items exhibited bias in analyses of the large samples, the net magnitudes of effect on potential selection decisions were nugatory. (c) 2004 APA

Mesh:

Year:  2004        PMID: 15161408     DOI: 10.1037/0021-9010.89.3.497

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  14 in total

1.  Quantifying the impact of partial measurement invariance in diagnostic research: An application to addiction research.

Authors:  Mark H C Lai; George B Richardson; Hio Wa Mak
Journal:  Addict Behav       Date:  2018-11-22       Impact factor: 3.913

2.  Analysis of differential item functioning in the depression item bank from the Patient Reported Outcome Measurement Information System (PROMIS): An item response theory approach.

Authors:  Jeanne A Teresi; Katja Ocepek-Welikson; Marjorie Kleinman; Joseph P Eimicke; Paul K Crane; Richard N Jones; Jin-Shei Lai; Seung W Choi; Ron D Hays; Bryce B Reeve; Steven P Reise; Paul A Pilkonis; David Cella
Journal:  Psychol Sci Q       Date:  2009

3.  Investigating the Effects of Differential Item Functioning on Proficiency Classification.

Authors:  Logan Rome; Bo Zhang
Journal:  Appl Psychol Meas       Date:  2017-08-29

4.  Model-Based Measures for Detecting and Quantifying Response Bias.

Authors:  R Philip Chalmers
Journal:  Psychometrika       Date:  2018-06-15       Impact factor: 2.500

5.  Investigating Measurement Invariance in Computer-Based Personality Testing: The Impact of Using Anchor Items on Effect Size Indices.

Authors:  Iris J L Egberink; Rob R Meijer; Jorge N Tendeiro
Journal:  Educ Psychol Meas       Date:  2014-02-03       Impact factor: 2.821

Review 6.  Modifying measures based on differential item functioning (DIF) impact analyses.

Authors:  Jeanne A Teresi; Mildred Ramirez; Richard N Jones; Seung Choi; Paul K Crane
Journal:  J Aging Health       Date:  2012-03-15

7.  Differential item functioning magnitude and impact measures from item response theory models.

Authors:  Marjorie Kleinman; Jeanne A Teresi
Journal:  Psychol Test Assess Model       Date:  2016

8.  Incorporating Measurement Non-Equivalence in a Cross-Study Latent Growth Curve Analysis.

Authors:  David B Flora; Patrick J Curran; Andrea M Hussong; Michael C Edwards
Journal:  Struct Equ Modeling       Date:  2008-10-01       Impact factor: 6.125

9.  Methodological Issues in Examining Measurement Equivalence in Patient Reported Outcomes Measures: Methods Overview to the Two-Part Series, "Measurement Equivalence of the Patient Reported Outcomes Measurement Information System® (PROMIS®) Short Forms".

Authors:  Jeanne A Teresi; Richard N Jones
Journal:  Psychol Test Assess Model       Date:  2016

10.  Cross-language differential item functioning of the job content questionnaire among European countries: the JACE study.

Authors:  Bongkyoo Choi; Jakob Blue Bjorner; Per-Olof Ostergren; Els Clays; Irene Houtman; Laura Punnett; Annika Rosengren; Dirk De Bacquer; Marco Ferrario; Maaike Bilau; Robert Karasek
Journal:  Int J Behav Med       Date:  2009
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