Gender bias and construct validity in vocational interest measurement: Differential item functioning in the Strong Interest Inventory

Sif Einarsdóttir*, James Rounds

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Item response theory was used to address gender bias in interest measurement. Differential item functioning (DIF) technique, SIBTEST and DIMTEST for dimensionality, were applied to the items of the six General Occupational Theme (GOT) and 25 Basic Interest (BI) scales in the Strong Interest Inventory. A sample of 1860 women and 1105 men was used. The scales were not unidimensional and contain both primary and minor dimensions. Gender-related DIF was detected in two-thirds of the items. Item type (i.e., occupations, activities, school subjects, types of people) did not differ in DIF. A sex-type dimension was found to influence the responses of men and women differently. When the biased items were removed from the GOT scales, gender differences favoring men were reduced in the R and I scales but gender differences favoring women remained in the A and S scales. Implications for the development, validation and use of interest measures are discussed.

Original languageEnglish
Pages (from-to)295-307
Number of pages13
JournalJournal of Vocational Behavior
Volume74
Issue number3
DOIs
Publication statusPublished - Jun 2009

Bibliographical note

Funding Information:
We thank David A. Donnay and Consulting Psychologist Press for providing the archived data and Daniel Bolt and Terry A. Ackerman for technical assistance. We also thank Patrick I. Armstrong and especially, Christopher A. Moyer for their close reading of an earlier draft of the manuscript. This article is based on a first authors dissertation submitted to the University of Illinois at Urbana-Champaign. This research was supported in part by a grant from Iceland University of Education.

Other keywords

  • Construct validity
  • Differential item functioning
  • Gender bias
  • Gender-fairness
  • Interest inventories
  • Interest measurement
  • Vocational interests

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