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Burak Tunca . Photo

Burak Tunca

Senior lecturer

Burak Tunca . Photo

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

Author

  • Burak Tunca

Editor

  • Updesh Kumar

Summary, in English

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.

Publishing year

2016-02

Language

English

Pages

346-360

Publication/Series

The Wiley Handbook of Personality Assessment

Document type

Book chapter

Publisher

Wiley-Blackwell

Topic

  • Applied Psychology

Keywords

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

Status

Published

ISBN/ISSN/Other

  • ISBN: 9781119173489
  • ISBN: 9781119173441