Using the Johnson-Neyman Procedure to Detect Item Bias in Personality Tests: A Proposed New Method and Practical Guidelines for Data Analysis

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

4505 Downloads (Pure)

Abstract

I present an alternative to a widely used item-bias analysis procedure known as the ANOVA method. The new method is based on the Johnson-Neyman procedure, which is a multiple regression-based technique with properties that can overcome the major weaknesses of the ANOVA method. I introduce the proposed procedure in a non-technical manner, provide an illustrative example, and suggest guidelines for empirical analysis that can be readily applied in personality research.
Original languageEnglish
Title of host publicationThe Wiley Handbook of Personality Assessment
EditorsUpdesh Kumar
Place of PublicationHoboken
PublisherWiley-Blackwell
Pages346-360
Number of pages15
ISBN (Electronic)9781119173489
ISBN (Print)9781119173441
DOIs
Publication statusPublished - 2016 Feb
Externally publishedYes

Subject classification (UKÄ)

  • Applied Psychology

Free keywords

  • item bias
  • ANOVA
  • differential item functioning
  • Johnson-Neyman
  • Item Response Theory (IRT)

Fingerprint

Dive into the research topics of 'Using the Johnson-Neyman Procedure to Detect Item Bias in Personality Tests: A Proposed New Method and Practical Guidelines for Data Analysis'. Together they form a unique fingerprint.

Cite this