Detecting gender item bias and differential manifest response behavior: A Rasch-based solution |
| |
Authors: | Thomas Salzberger Fiona J Newton Michael T Ewing |
| |
Institution: | 1. WU Wien, Institute for Marketing Management, Augasse 2-6, 1090 Vienna, Austria;2. Department of Marketing, Faculty of Business & Economics, Monash University, PO Box 197, Caulfield East, VIC, 3145 Australia |
| |
Abstract: | Although gender is a salient variable in consumer research, researchers largely overlook whether, and how, it influences consumer response to indicators measuring latent variables. The authors therefore extend the framework of measurement equivalence assessment to the largely overlooked issue of differential item response behavior between men and women. This paper demonstrates the efficacy of using item response theory to investigate the presence of gender item bias. This methodological approach affords researchers the means of objectively disentangling actual gender differences and gender bias. Ignoring the possibility of gender item bias has the potential to bias means and thereby compromise any substantive gender-based mean comparisons. The authors conclude with solutions to address gender item bias both pre and post survey construction. |
| |
Keywords: | Gender item bias Measurement bias Item-response theory Differential item functioning Rasch modeling |
本文献已被 ScienceDirect 等数据库收录! |
|