caa a22 4500 606153365 CHVBK 20210128100553.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s11121-014-0535-6 doi (NATIONALLICENCE)springer-10.1007/s11121-014-0535-6 Designs for Testing Group-Based Interventions with Limited Numbers of Social Units: The Dynamic Wait-Listed and Regression Point Displacement Designs [Elektronische Daten] [Peter Wyman, David Henry, Shannon Knoblauch, C. Brown] The dynamic wait-listed design (DWLD) and regression point displacement design (RPDD) address several challenges in evaluating group-based interventions when there is a limited number of groups. Both DWLD and RPDD utilize efficiencies that increase statistical power and can enhance balance between community needs and research priorities. The DWLD blocks on more time units than traditional wait-listed designs, thereby increasing the proportion of a study period during which intervention and control conditions can be compared, and can also improve logistics of implementing intervention across multiple sites and strengthen fidelity. We discuss DWLDs in the larger context of roll-out randomized designs and compare it with its cousin the Stepped Wedge design. The RPDD uses archival data on the population of settings from which intervention unit(s) are selected to create expected posttest scores for units receiving intervention, to which actual posttest scores are compared. High pretest-posttest correlations give the RPDD statistical power for assessing intervention impact even when one or a few settings receive intervention. RPDD works best when archival data are available over a number of years prior to and following intervention. If intervention units were not randomly selected, propensity scores can be used to control for non-random selection factors. Examples are provided of the DWLD and RPDD used to evaluate, respectively, suicide prevention training (QPR) in 32 schools and a violence prevention program (CeaseFire) in two Chicago police districts over a 10-year period. How DWLD and RPDD address common threats to internal and external validity, as well as their limitations, are discussed. Society for Prevention Research, 2014 Group-based designs nationallicence Roll-out designs nationallicence Small sample designs nationallicence Dynamic wait-listed design nationallicence Regression point displacement design nationallicence Wyman Peter University of Rochester School of Medicine and Dentistry, Rochester, NY, USA aut Henry David University of Illinois at Chicago, Chicago, IL, USA aut Knoblauch Shannon University of Illinois at Chicago, Chicago, IL, USA aut Brown C. Feinberg School of Medicine, Northwestern University, Chicago, IL, USA aut Prevention Science Springer US; http://www.springer-ny.com 16/7(2015-10-01), 956-966 1389-4986 16:7<956 2015 16 11121 https://doi.org/10.1007/s11121-014-0535-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11121-014-0535-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wyman Peter University of Rochester School of Medicine and Dentistry, Rochester, NY, USA aut NATIONALLICENCE 700 1- Henry David University of Illinois at Chicago, Chicago, IL, USA aut NATIONALLICENCE 700 1- Knoblauch Shannon University of Illinois at Chicago, Chicago, IL, USA aut NATIONALLICENCE 700 1- Brown C. Feinberg School of Medicine, Northwestern University, Chicago, IL, USA aut NATIONALLICENCE 773 0- Prevention Science Springer US; http://www.springer-ny.com 16/7(2015-10-01), 956-966 1389-4986 16:7<956 2015 16 11121