title: Gender differences in the endorsement of symptoms for depression and anxiety: are gender-biased items responsible?
abstract: Gender-biased items are one explanation for the gender difference in reports of depression and anxiety symptoms. This hypothesis was explored using responses from the Goldberg Anxiety and Depression scales. Responses were drawn from 2 waves of a community-based survey with participants in 3 age cohorts: 20 to 25, 40 to 44, and 60 to 64 at wave 1. The results showed that a 2-factor model fitted the scales well. Multiple group analyses showed that that for all 3 age groups and both time points the fit indices changed minimally between a model that constrained parameters to be equal across gender and a model that permitted variation. These findings indicate that gender differences in the endorsement of items from the Goldberg scales are not because of gender-biased items. This study points to alternate biopsychosocial explanations and highlights the importance of choosing appropriate methods of analysis when assessing item bias.
authors.affiliation: Centre for Mental Health Research, The Australian National University, Canberra, Australia. Liana.Leach@anu.edu.au
authors.forename: Liana S
authors.initials: LS
authors.lastname: Leach
authors.forename: Helen
authors.initials: H
authors.lastname: Christensen
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Mackinnon
mesh_terms: D000328:Adult; D000368:Aged; D001008:Anxiety Disorders / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D015982:Bias; D003866:Depressive Disorder / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D005260:Female; D006306:Health Surveys; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009517:New South Wales; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data; D012744:Sex Ratio