An improved model for evaluating change in randomized pretest, posttest, follow-up designs
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Date
2012
Authors
Mara, C.
Cribbie, Robert
Flora, David
LaBrish, C.
Mills, L.
Fiksenbaum, L.
Journal Title
Journal ISSN
Volume Title
Publisher
Hogrefe Publishing
Abstract
Randomized pretest, posttest, follow-up (RPPF) designs are often used for evaluating the effectiveness of an intervention. These designs typically address two primary research questions: (1) Do the treatment and control groups differ in the amount of change from pretest to posttest? and (2) Do the treatment and control groups differ in the amount of change from posttest to follow-up? This study presents a model for answering these questions and compares it to recently proposed models for analyzing RPPF designs due to Mun, von Eye, and White (2009) using Monte Carlo simulation. The proposed model provides increased power over previous models for evaluating group differences in RPPF designs.
Description
Keywords
latent change modeling, longitudinal data, randomized pretest-posttest-follow-up designs, measurement of change
Citation
Mara, C., Cribbie, R. A., Flora, D., LaBrish, C., Mills, L., & Fiksenbaum, L. (2012). An improved model for evaluating change in randomized pretest, posttest, follow-up designs. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 8, 97-103. doi: 10.1027/1614-2241/a000041