Researchers evaluating prevention and early intervention programs must often rely on diverse study designs that assign groups to various study conditions (e.g., intervention versus control). Although the strongest designs randomly assign these groups to conditions, researchers frequently must use nonrandomized research designs in which assignments are made based on the characteristics of the groups. With nonrandomized group designs, little guidance is available on how best to analyze the data. We provide guidance on which techniques work best under different data conditions and make recommendations to researchers about how to choose among the various techniques when analyzing data from a pre-test/post-test nonrandomized study. We use data from the Center for Substance Abuse Prevention’s Workplace Managed Care initiative to compare the performance of the various methods commonly applied in quasi-experimental and group assignment designs.
Analyzing data from nonrandomized group studies
By Jeremy Bray, William Schlenger, Gary Zarkin, Deborah Galvin
November 2008 Open Access Peer Reviewed
Bray, J., Schlenger, W., Zarkin, G., & Galvin, D. (2008). Analyzing data from nonrandomized group studies. Research Triangle Park, NC: RTI Press. RTI Press Publication No. MR-0008-0811 https://doi.org/10.3768/rtipress.2008.mr.0008.0811
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