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College of Arts & Sciences
Department of Statistics


Brian Habing Colloquium

Thursday, March 30, 2017 - 2:45pm

Statistics Department Colloquium

Where: LeConte College, Room 210

Speaker: Brian Habing

Affiliation: University of South Carolina, Department of Statistics

Title:  Some Implications of Model Choice

Abstract: 

The most common implementations of item response theory  can be mathematically thought of as non-linear factor analysis or as non-linear mixed modeling.  The non-linear part typically involves using a logistic link to model the probability an examinee will correctly answer a test question, and the latent factor or random effect is the examinee ability.  As in many branches of statistics, the specifics of the model (such as the logistic link) and estimation method are often based on ease of implementation. This talk will discuss how using the obvious choices can lead to some non-intuitive or unexpected difficulties, and will use examples from the research of current and former Ph.D. students Tammiee Dickenson,Yin Fu, Leslie Hendrix, Han Lee, Maureen Petkewich, Jessalyn Smith, Na Yang, and Xinchu Zhao.