期刊
JOURNAL OF EVIDENCE-BASED SOCIAL WORK
卷 16, 期 2, 页码 192-210出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/23761407.2019.1577783
关键词
Latent class analysis; latent variable mixture modeling; systematic review
类别
Purpose: Latent variable mixture modeling (LVMM) estimates possible classes, profiles, or trajectories within a sample and then identifies individuals with similar patterns. This systematic review examines the use of person-centered LVMM analyses published in social work journals. Methods: We screened 478 articles and obtained a final sample of 32 studies meeting inclusion criteria. Results: Studies using LVMM were published between 2004 and 2017 with a majority appearing after 2012. Latent class analysis was used in most studies followed by latent profile analysis and longitudinal variants of LVMM. Samples sizes ranged from 199 to 1,002,122 (median = 533). Less than half of the identified studies met model fit reporting standards. Discussion: This systematic review demonstrates the usefulness and growing popularity of LVMM studies within social work journals. Social Work researchers are encouraged to employ person-centered methods to explore unobserved groups or trajectories within cross-sectional and longitudinal data.
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