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

Tunca, Burak LU orcid (2016) p.346-360
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.
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
item bias, ANOVA, differential item functioning, Johnson-Neyman, Item Response Theory (IRT)
host publication
The Wiley Handbook of Personality Assessment
editor
Kumar, Updesh
pages
15 pages
publisher
Wiley-Blackwell
external identifiers
  • scopus:85019854077
ISBN
9781119173441
9781119173489
DOI
10.1002/9781119173489.ch25
language
English
LU publication?
no
id
5922bfe0-ed24-4c1d-9886-683861129d8e
date added to LUP
2017-09-18 12:41:07
date last changed
2024-10-14 13:12:13
@inbook{5922bfe0-ed24-4c1d-9886-683861129d8e,
  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.}},
  author       = {{Tunca, Burak}},
  booktitle    = {{The Wiley Handbook of Personality Assessment}},
  editor       = {{Kumar, Updesh}},
  isbn         = {{9781119173441}},
  keywords     = {{item bias; ANOVA; differential item functioning; Johnson-Neyman; Item Response Theory (IRT)}},
  language     = {{eng}},
  pages        = {{346--360}},
  publisher    = {{Wiley-Blackwell}},
  title        = {{Using the Johnson-Neyman Procedure to Detect Item Bias in Personality Tests : A Proposed New Method and Practical Guidelines for Data Analysis}},
  url          = {{https://lup.lub.lu.se/search/files/31353759/Tunca_2016_Handbook_of_Personality_Author_s_version.pdf}},
  doi          = {{10.1002/9781119173489.ch25}},
  year         = {{2016}},
}