What is it about?
In this study, we proposed a new method of propensity score modeling for ordinal data called piecewise propensity score modeling (PPSA). We also compared the method to the existing marginal mean weighting through stratification (MMW-S) procedure that is normally used to do propensity score modeling for multiple categories. The results showed that PPSA did not outperform MMW-S.
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Why is it important?
MMW-S is shown to be the current leading method for handling propensity score modeling with ordinal data. This article strengthens' researchers confidence in MMW-S and prevents anyone else from investigating a method similar to PPSA.
Perspectives
This is the second time I have created a new analysis procedure and the second time that my procedure was less effective than existing methods. I'm a much better applied data analyst than a theorist.
Dr Russell T. Warne
Independent Scholar
Read the Original
This page is a summary of: Piecewise propensity score analysis: A new method for conducting propensity score matching with polytomous ordinal independent variables., Archives of Scientific Psychology, February 2018, American Psychological Association (APA),
DOI: 10.1037/arc0000035.
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