Evaluation of Hiv Risk Reduction Intervention Programs Via Latent Growth Model

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...

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Bibliographic Details
Published in:Evaluation review 1999-12, Vol.23 (6), p.648-662
Main Authors: Wang, Jichuan, Siegal, Harvey A., Falck, Russel S., Carlson, Robert G., Rahman, Ahmmed
Format: Article
Language:English
Subjects:
Acquired Immune Deficiency Syndrome
Behavior Change
Behavior Modification
Behavior Patterns
Drug Abuse
Drug Addiction
Drug Use
Educational Change
Ethnicity
Evaluation
Evaluation Methods
Female
Growth Models
Health education
Health Promotion
HIV
HIV Infections - prevention & control
Human immunodeficiency virus
Humans
Intervention
Latent Growth
Likert Scales
Longitudinal Studies
Male
Models, Statistical
Multivariate Analysis
Predictor Variables
Prevention
Program Evaluation
Program Evaluation - statistics & numerical data
Regression (Statistics)
Risk
Risk-Taking
Sexually Transmitted Diseases
Statistical Analysis
Substance Abuse, Intravenous
Treatment Programs
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Summary: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.
ISSN:0193-841X
1552-3926
DOI:10.1177/0193841X9902300604