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Fitting Proportional Odds Models for Ordinal Response Variables in Educational Research: A Comparison of Multiple Packages in R
Thu, May 4, 7:00am to 7:00pm CDT (7:00am to 7:00pm CDT), AERA i-Presentation Gallery, AERA Virtual i-Presentation GalleryFri, May 5, 7:00am to 7:00pm CDT (7:00am to 7:00pm CDT), AERA i-Presentation Gallery, AERA Virtual i-Presentation Gallery
Abstract
Although researchers assume that software packages should produce the same results for the same model, it is not always the case for ordinal regression models. The MASS, ordinal, rms, and VGAM packages in R may use different forms to express the proportional odds model (PO) for ordinal response variables and parameterize it differently, so researchers are easily confused when interpreting the results. However, there are no publications specifically to address this issue. The purpose of the study is to investigate how to implement the PO model in educational research with multiple packages in R and compares the differences among these packages. Furthermore, it compares the results from the R packages and those from other general-purpose software, SAS, SPSS, and Stata.