NEAIR Conference Talk - NovemDownload Slides.
#R PLUGIN FOR SPSS 25 PS MATCHING DOWNLOAD#
Workshop at University at Albany, Division of Educational Psychology & Methodology - April 30 and Download Slides.Analysis of multilevel data (using the multilevelPSA package).Analysis of non-binary treatments (using the TriMatch package).Bootstrapping for PSA (using the PSAboot package).Dependent sample tests and confidence intervals.Phase II of PSA - Estimating effects re: response variables.Stratification using logistic regression and classification trees also random forests.Phase I of PSA - Adjusting for selection bias by modeling treatment placement.Theretical overview of propensity score methods.The use of graphics for diagnosing covariate balance as well as summarizing overall results will be emphasized. Discussions on appropriate comparisons and estimations of effect size and confidence intervals in phase II will also be covered. models or methods for estimating propensity scores) include logistic regression, classification trees, and matching. This workshop will provide participants with a theoretical overview of propensity score methods as well as illustrations and discussion of PSA applications. R (R Core Team, 2012) is ideal for conducting PSA given its wide availability of the most current statistical methods vis-à-vis add-on packages as well as its superior graphics capabilities.
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Analysis is typically conducted in two phases where in phase I, the probability of placement in the treatment is estimated to identify matched pairs or clusters so that in phase II, comparisons on the dependent variable can be made between matched pairs or within clusters. Propensity score analysis (PSA) attempts to adjust selection bias that occurs due to the lack of randomization. The use of propensity score methods (Rosenbaum & Rubin, 1983) for estimating causal effects in observational studies or certain kinds of quasi-experiments has been increasing in the social sciences (Thoemmes & Kim, 2011) and in medical research (Austin, 2008) in the last decade.