Gender differences in physical self-concept: A multidimensional differential item functioning analysis

Abstract

Typically, group differences are analyzed at the subdomain or test level using composite scores. This can mask the effect of individual items across groups. For example, two items from the Physical Self-Description Questionnaire (PSDQ) are worded in terms of internal ("I am good looking") and external ("Nobody thinks I'm good looking") frames of reference. Any difference between the group means using a composite score including these two items is interpreted globally, thus obscuring individual item meaning. A better approach to detecting group differences is to work at the item level using differential item functioning (DIF) methods. One such method is multidimensional DIF, which identifies ..