Faculty Articles
Analytic Approaches for Assessing Long-Term Treatment Effects: Examples of Empirical Applications and Findings
Document Type
Article
Publication Date
4-2001
Publication Title
Evaluation Research
Volume
25
Issue/Number
2
First Page
233
ISSN
0193-841X
Last Page
262
Abstract/Excerpt
Analytic approaches, including the structural equation model (autoregressive panel model), hierarchical linear model, latent growth curve model, survival/event history analysis, latent transition model, and time-series analysis (interrupted time series, multivariate time-series analysis) are discussed for their applicability to data of different structures and their utility in evaluating temporal effects of treatment. Methods are illustrated by presenting applications of the various approaches in previous studies examining temporal patterns of treatment effects. Recent advancements in these longitudinal modeling approaches and the accompanying computer software development offer tremendous flexibility in examining long-term treatment effects through longitudinal data with varying numbers and intervals of assessment and types of measures. A multimethod assessment will contribute to a more complete understanding of the complex phenomena of the long-term courses of substance use and its treatment.
DOI
10.1177/0193841X0102500206
NSUWorks Citation
Messer, S. C.,
Hser, Y.,
Shen, H.,
Chou, C.,
Anglin, M.
(2001). Analytic Approaches for Assessing Long-Term Treatment Effects: Examples of Empirical Applications and Findings. Evaluation Research, 25(2), 233-262.
Available at: https://nsuworks.nova.edu/cps_facarticles/298
