The Impact of Model Selection on Loglinear Analysis of Contingency Tables
نویسندگان
چکیده
Title of Dissertation: THE IMPACT OF MODEL SELECTION ON LOGLINEAR ANALYSIS OF CONTINGENCY TABLES Jing Gao, Doctor of Philosophy, 2009 Dissertation directed by: Professor C. Mitchell Dayton Department of Measurement, Statistics and Evaluation It is common practice for researchers in the social sciences and education to use model selection techniques to search for best fitting models and to carry out inference as if these models were given a priori. This study examined the effect of model selection on inference in the framework of loglinear modeling. The purposes were to (i) examine the consequences when the behavior of model selection is ignored; and (ii) investigate the performance of the estimator provided by the Bayesian model averaging method and evaluate the usefulness of the multi-model inference as opposed to the single model
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