Congratulations to Patrick and Dan on Teaching Awards

Curran-Bauer Analytics is proud to announce that Patrick and Dan have both recently been selected to receive prestigious teaching awards:

  • Patrick Curran has been selected to receive the 2016 Jacob Cohen Award for Distinguished Teaching and Mentoring by the American Psychological Association, Division 5 (Quantitative and Qualitative Methods), and will be recognized at this year’s annual convention.
  • Dan Bauer has been selected for the 2016 Distinguished Teaching Award for Post-Baccalaureate Instruction by the University of North Carolina at Chapel Hill, and will be recognized at halftime of the UNC-Pittsburgh men’s basketball game on February 14th.

Patrick and Dan bring the same level of dedication in teaching to their workshops at Curran-Bauer Analytics, training a broad audience of researchers in the application of advanced quantitative methodology.

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A reviewer recently asked me to comment on the issue of equivalent models in my structural equation model. What is the difference between alternative models and equivalent models within an SEM?

An equivalent model can be thought of as a re-parameterization of the original model. In other words, it is just a different way of “packaging” the same information in the data and no equivalent model can be distinguished from another based on fit alone. If you were to fit a series of equivalent models to the same sample data you obtain exactly the same chi-square test statistic, RMSEA, CFI, TLI, and any other omnibus measure of fit. It is often best to treat this as a limitation of any given study and to potentially present one or a small number of equivalent model options to the reader so that these too might be considered as plausible representations of the data.