Evaluation of Hiv Risk Reduction Intervention Programs Via Latent Growth Model

Jichuan Wang, Harvey A. Siegal, Russel S. Falck, Robert G. Carlson and Ahmmed Rahman
Additional contact information
Jichuan Wang: Wright State University
Harvey A. Siegal: Wright State University
Russel S. Falck: Wright State University
Robert G. Carlson: Wright State University
Ahmmed Rahman: Wright State University

Evaluation Review, 1999, vol. 23, issue 6, 648-662

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. Multigroup piecewise latent growth models were fit to longitudinal data with three repeated response measures.

Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:sae:evarev:v:23:y:1999:i:6:p:648-662

DOI: 10.1177/0193841X9902300604

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