Mara, C.Cribbie, RobertFlora, DavidLaBrish, C.Mills, L.Fiksenbaum, L.2018-06-032018-06-032012Mara, 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/a0000411614-2241https://doi.org/10.1027/1614-2241/a000041http://hdl.handle.net/10315/34592Randomized 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.enlatent change modelinglongitudinal datarandomized pretest-posttest-follow-up designsmeasurement of changeArticlehttps://econtent.hogrefe.com/loi/medhttps://econtent.hogrefe.com/https://econtent.hogrefe.com/doi/abs/10.1027/1614-2241/a000041