Work

Evaluation of Hiv Risk Reduction Intervention Programs Via Latent Growth Model

Year: 1999

Type: article

Abstract: The latent growth model (LGM) has drawn increasing attention in behavioral studies using longitudinal data. The LGM captures the level and trajectory of behavior change, variation in both the initial status and the trend of behavior change, as well as the time-ordered covariation between the initial status and change. This study demonstrates how the LGM can be applied in the evaluation of intervention programs targeting HIV risk behavior among drug users. Multi-group piecewise latent growth models were fit to longitudinal data with three repeated response measures.

Source: Evaluation Review

DOI: 10.1177/0193841x9902300604

Authors: Jichuan Wang, Harvey A. Siegal, Russel S. Falck, Robert G. Carlson, Ahmmed Rahman

Institution: Wright State University

Language: English

Topic: HIV, Drug Use, Sexual Risk

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Drug Abuse