An SEM approach for the evaluation of intervention effects using pre-post-post designs

Eun-Young Mun, Alexander von Eye, Helene R. White

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

This study analyzes latent change scores using latent curve models (LCMs) for evaluation research with pre-post-post designs. The article extends a recent article by Willoughby, Vandergrift, Blair, and Granger (2007) on the use of LCMs for studies with pre-post-post designs, and demonstrates that intervention effects can be better tested using different parameterizations of LCMs. This study illustrates how to test the overall mean of a latent variable at the time of research interest, not just at baseline, as well as means of latent change variables between assessments, and introduces how individual differences in the referent outcome (i.e., Level 2 random effects) and measurement-specific residuals (i.e., Level 1 residuals) can be modeled and interpreted. Two intervention data examples are presented. This LCM approach to change is more advantageous than other methods for its handling of measurement errors and individual differences in response to treatment, avoiding unrealistic assumptions, and being more powerful and flexible.

Original languageEnglish
Pages (from-to)315-337
Number of pages23
JournalStructural Equation Modeling
Volume16
Issue number2
DOIs
StatePublished - 1 Apr 2009

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Scanning electron microscopy
Curve
Individual Differences
Evaluation
evaluation
research interest
evaluation research
Latent Variables
Parameterization
Random Effects
Measurement errors
Measurement Error
Model
Baseline
Design
Demonstrate
Individual differences
time
Measurement error
Random effects

Cite this

Mun, Eun-Young ; von Eye, Alexander ; White, Helene R. / An SEM approach for the evaluation of intervention effects using pre-post-post designs. In: Structural Equation Modeling. 2009 ; Vol. 16, No. 2. pp. 315-337.
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An SEM approach for the evaluation of intervention effects using pre-post-post designs. / Mun, Eun-Young; von Eye, Alexander; White, Helene R.

In: Structural Equation Modeling, Vol. 16, No. 2, 01.04.2009, p. 315-337.

Research output: Contribution to journalArticleResearchpeer-review

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