Factor structure and psychometric properties of the Insomnia Severity Index in Mainland China

Bibliographic Data

ID13919924
AuthorsRongmao Lin (0000-0002-4810-6088, Fujian Normal University, corresponding author), Rong-Mao Lin, Shan-Shan Xie, Shanshan Xie (0000-0002-9820-6407, Mudanjiang Normal University), Wen-Jing Yan, Wen‐jing Yan (0000-0001-6413-2414, Wenzhou University), You-Wei Yan (Fujian Normal University)
Year2018
Volume46
Issue2
Pages209-218
Publication date2018-02-02
Open AccessYes
TypeARTICLE
VenueSocial Behavior and Personality An International Journal (JOURNAL)
Journal identifiersISSN: 0301-2212 • E-ISSN: 1179-6391
PublisherScientific Journal Publishers Limited (PUBLISHER)
DOI10.2224/sbp.6639
OpenAlexW2786999162
LanguageEN
Citations received4

We explored the factor structure and psychometric properties of the Insomnia Severity Index (ISI) using 3 samples totaling 2,066 Mainland Chinese undergraduates. All participants completed the ISI and Sample 2 completed 3 other related measures. Their responses were processed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multiple group analyses. The EFA results revealed a 2-factor structure, whereas the CFA results supported a 3-factor solution, the latter of which was further confirmed by the results of multiple group analyses. The Chinese version of the ISI had a satisfactory Cronbach's alpha coefficient of internal reliability, 2-week test–retest reliability, and criterion validity. Overall, we found that the ISI is a reliable, valid, and psychometrically sound measure of insomnia for use with Mainland Chinese undergraduates

China · Confirmatory factor analysis · Cronbach's alpha · Exploratory factor analysis · Mainland China · Psychometrics · Reliability (semiconductor · Statistics · Structural equation modeling · Clinical Psychology · Psychology · Sleep and related disorders

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