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

Burak Tunca

doi:10.1002/9781119173489.ch25

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

Burak Tunca

University of Agder

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research

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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 language	English
Title of host publication	The Wiley Handbook of Personality Assessment
Editors/authors	Updesh Kumar
Place of Publication	Hoboken
Publisher	Wiley-Blackwell
Pages	346-360
Number of pages	15
ISBN (Electronic)	9781119173489
ISBN (Print)	9781119173441
DOIs	https://doi.org/10.1002/9781119173489.ch25
Publication status	Published - 2016 Feb
Externally published	Yes

Subject classification (UKÄ)

Applied Psychology (including Clinical Psychology, Psychotherapy)

Free keywords

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

Access to Document

10.1002/9781119173489.ch25

Tunca 2016 Handbook of Personality Author's versionAccepted author manuscript, 490 KB

Cite this

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KW - ANOVA

KW - differential item functioning

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KW - Item Response Theory (IRT)

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ER -

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

Abstract

Subject classification (UKÄ)

Free keywords

Access to Document

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