"Modeling in Undergraduate Statistics"
with Michael Granaas, University of South Dakota
Hosted by: David Kline, The Ohio State University
In recent years much of the social and behavioral research community has been focused on flaws with Null Hypothesis Testing (Nickerson, 2000). Undergraduate statistics texts in the social and behavioral sciences have grown in size adding or expanding material on topics such as effects sizes, power, and confidence intervals. Meanwhile methodology in the social and behavioral sciences has been undergoing a "quiet revolution" making ever greater use of models and model fitting (Rodgers, 2010) rather than hypothesis testing. This change is evident in a number of graduate level texts but is almost entirely absent from undergraduate texts. I will introduce the basic differences between fitting models and testing hypotheses. This will be followed by open discussion and/or Q&A as appropriate to the audience present.
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