Hierarchical measurement structure in the Women's Health Questionnaire: a confirmatory factor analysis

Purpose: This study conducted confirmatory factor analysis (CFA) to examine the measurement structure of the Women's Health Questionnaire (WHQ) and how its components were organized. Methods: Participants were 448 postmenopausal women, with a mean age of 63.3 years. CFA was conducted to test ho...

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Bibliographic Details
Published in:Climacteric : the journal of the International Menopause Society 2019-09, Vol.22 (5), p.448-453
Main Authors: Shen, B. J., Fan, Q., Huang, J. S., Ho, M. H. R., Mack, W. J., Hodis, H. N.
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
confirmatory factor analysis
Discriminant analysis
Factor Analysis, Statistical
Female
Health-related quality of life
Humans
measurement structure
Mental health
Middle Aged
postmenopausal women
Postmenopause - psychology
Psychometrics
Quality of Life
Reproducibility of Results
scale validation
Surveys and Questionnaires
Well being
Women's Health
Womens health
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Summary:Purpose: This study conducted confirmatory factor analysis (CFA) to examine the measurement structure of the Women's Health Questionnaire (WHQ) and how its components were organized. Methods: Participants were 448 postmenopausal women, with a mean age of 63.3 years. CFA was conducted to test how well several proposed measurement models fit the data. Results: The single-factor model performed poorly, indicating the presence of multiple factors. The model with seven correlated factors fit the data well, although the varying degrees of inter-factor correlations suggested grouping of similar factors. The hierarchical measurement structure, with seven first-order factors organized under two second-order factors of physical health and mental health functioning, demonstrated a good fit with the data (χ 2 (367) = 694.05, p 
ISSN:1369-7137
1473-0804
DOI:10.1080/13697137.2018.1564270