Evaluating Intervention Programs with a Pretest-Posttest Design: A Structural Equation Modeling Approach.

ABSTRACT: A common situation in the evaluation of intervention programs is the researcher's possibility to rely on two waves of data only (i.e., pretest and posttest), which profoundly impacts on his/her choice about the possible statistical analyses to be conducted. Indeed, the evaluation of intervention programs based on a pretest-posttest design has been usually carried out by using classic statistical tests, such as family-wise ANOVA analyses, which are strongly limited by exclusively analyzing the intervention effects at the group level. In this article, we showed how second order multiple group latent curve modeling (SO-MG-LCM) could represent a useful methodological tool to have a more realistic and informative assessment of intervention programs with two waves of data. We offered a practical

SUBMITTER: Alessandri G 

PROVIDER: S-EPMC5332425 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature