Literature DB >> 29795815

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

Iris J L Egberink1, Rob R Meijer1, Jorge N Tendeiro1.   

Abstract

A popular method to assess measurement invariance of a particular item is based on likelihood ratio tests with all other items as anchor items. The results of this method are often only reported in terms of statistical significance, and researchers proposed different methods to empirically select anchor items. It is unclear, however, how many anchor items should be selected and which method will provide the "best" results using empirical data. In the present study, we examined the impact of using different numbers of anchor items on effect size indices when investigating measurement invariance on a personality questionnaire in two different assessment situations. Results suggested that the effect size indices were not influenced by using different numbers of anchor items. The values were comparable across different number of anchor items used and were small, which indicate that the effect of differential functioning at the item and test level is very small if not negligible. Practical implications are discussed and we discuss the use of anchor items and effect size indices in practice.

Keywords:  differential item functioning; differential test functioning; item response theory; personality; psychological assessment

Year:  2014        PMID: 29795815      PMCID: PMC5965504          DOI: 10.1177/0013164414520965

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  7 in total

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

Authors:  Stephen Stark; Oleksandr S Chernyshenko; Fritz Drasgow
Journal:  J Appl Psychol       Date:  2004-06

2.  Solving the measurement invariance anchor item problem in item response theory.

Authors:  Adam W Meade; Natalie A Wright
Journal:  J Appl Psychol       Date:  2012-04-02

3.  A taxonomy of effect size measures for the differential functioning of items and scales.

Authors:  Adam W Meade
Journal:  J Appl Psychol       Date:  2010-07

4.  Detecting differential item functioning with confirmatory factor analysis and item response theory: toward a unified strategy.

Authors:  Stephen Stark; Oleksandr S Chernyshenko; Fritz Drasgow
Journal:  J Appl Psychol       Date:  2006-11

5.  Differential item functioning by sex and race in the Hogan Personality Inventory.

Authors:  Richard Sheppard; Kyunghee Han; Stephen M Colarelli; Guangdong Dai; Daniel W King
Journal:  Assessment       Date:  2006-12

6.  Examining the measurement precision and invariance of the revised get ready to read!

Authors:  Amber L Farrington; Christopher J Lonigan
Journal:  J Learn Disabil       Date:  2013-07-12

7.  The viability of crowdsourcing for survey research.

Authors:  Tara S Behrend; David J Sharek; Adam W Meade; Eric N Wiebe
Journal:  Behav Res Methods       Date:  2011-09
  7 in total
  2 in total

1.  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

2.  Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions.

Authors:  Jeanne A Teresi; Chun Wang; Marjorie Kleinman; Richard N Jones; David J Weiss
Journal:  Psychometrika       Date:  2021-07-12       Impact factor: 2.500

  2 in total

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