Open AccessConfirmatory factor analysis of the Insomnia Severity Index (ISI) and invariance across race: a pooled analysis of MsFLASH data
Author(s) -
Julie L. Otte,
Giorgos Bakoyannis,
Kevin L. Rand,
Kristine E. Ensrud,
Katherine A. Guthrie,
Hadine Joffe,
Susan M. McCurry,
Kathrine M. Newton,
Janet S. Carpenter
Publication year - 2019
Publication title -
menopause
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.086
H-Index - 103
eISSN - 1530-0374
pISSN - 1072-3714
DOI - 10.1097/gme.0000000000001343
Subject(s) - confirmatory factor analysis , medicine , insomnia , measurement invariance , clinical psychology , menopause , sample size determination , psychiatry , structural equation modeling , statistics , mathematics
Women's sleep at menopause is widely reported to be problematic. The Insomnia Severity Index (ISI) is a commonly used tool for quantifying sleep problems in clinical and research settings, but psychometric properties in postmenopausal women have not been reported. Our study aim was to examine the factor structure of the ISI in a large and diverse sample of midlife women with hot flashes.