A New Podcast on All Things Quantitative: Quantitude

Our very own Patrick Curran has teamed up with Greg Hancock (Professor, College of Education, University of Maryland) to launch a new podcast called Quantitude. It is dedicated to all things quantitative, ranging from the relevant to the highly irrelevant. Picture a cross between the Car Talk guys, the two old men from the Muppets, and a graduate statistics course.

Quantitude explores serious issues but in a sometimes grousing and irreverent way. Episodes address current topics in quantitative methodology, data analysis, and research methods; interviews with professionals in the field; responses to listener questions; quantitative puzzlers; and much more. Episodes are posted every-other week, notably on “Quanti-Tudesday”.

So if you’re interested, please check Quantitude out. The podcast can be found at https://www.buzzsprout.com/639103 (or wherever you listen to your favorite podcasts), and the Quantitude home page is http://quantitudethepodcast.org/. Finally, Quantitude is on Twitter at @quantitudepod

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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.

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