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GESIS-Workshop Propensity Score Matching: Computation and Balance Estimation for two and more groups in R

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Dozent(en): Julian Urban


Are you currently engaged in quasi-experimental field research? Or are you concerned about the possible impact of a covariate on the internal validity of your experiment or observational study? Perhaps you want to conduct group comparisons with your observational (survey) data? For example, you may want to evaluate an intervention or compute group differences. However, you might encounter significant group differences in covariates between your experimental or observational groups. If so, you may be interested in learning (more) about Propensity Score Matching, a statistical method that also allows for the estimation of causal effects while controlling for uneven numbers of participants per group!

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