Examining factorial structure and measurement invariance of the Brief Symptom Inventory (BSI)-18 among drug users |
| |
Authors: | Jichuan Wang Brian C. Kelly Brenda M. Booth Russel S. Falck Carl Leukefeld Robert G. Carlson |
| |
Affiliation: | 1. Children Research Institute, Center for Clinic and Community Research, Children''s National Medical Center, The George Washington University School of Medicine, Washington, D.C., United States;2. Department of Sociology, Purdue University, West Lafayette, IN, United States;3. Division of Health Services Research, Department of Psychiatry, University of Arkansas for Medical Sciences, the Central Arkansas Veterans Healthcare System, Little Rock, AR, United States;4. Center for Interventions, Treatment, and Addictions Research, Department of Community Health, Boonshoft School of Medicine, Wright State University, Dayton, OH, United States;5. Department of Behavioral Science, University of Kentucky, Lexington, KY, United States |
| |
Abstract: | The purpose of this study is to examine the factorial structure of the Brief Symptom Inventory 18 (BSI-18) and test its measurement invariance among different drug using populations. A total sample of 710 drug users was recruited using respondent-drive sampling (RDS) from three states: Ohio (n = 248), Arkansas (n = 237), and Kentucky (n = 225). The results of confirmatory factor analysis (CFA) show: 1) the BSI-18 has a three-factor structure (somatization, depression, and anxiety) with an underlying second-order factor (global severity index of distress); and 2) its factorial structure and metric (factor loadings) are invariant across populations under study. However, the scalars (intercepts) of the BSI-18 items are not invariant, and the means of the latent factors also varied across populations. Our findings provide evidence of a valid factorial structure of the BSI-18 that can be readily applied to studying drug using populations. |
| |
Keywords: | BSI-18 Psychological distress CFA model Measurement invariance Drug users |
本文献已被 ScienceDirect 等数据库收录! |
|