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Session Type: Roundtable Session
In this roundtable session, a collection of papers examines the notions of dimensionality across various traditions, including unidimensional and multidimensional IRT as well as factor analytical approaches. Through a series of empirical and simulation studies, the authors examine the utility of generalized structured component analysis in small sample sizes, compare bifactor and unidimensional IRT models, impacts on parameter recovery, and develop discussion about how dimensionality is viewed through different methodological lenses.
An Investigation of the Psychometric Properties of Full-Information Bifactor Primary and Domain Scores - Jason C. Immekus, University of Louisville; Ruben Castaneda, University of California - Merced
Component-Based Item Response Theory Utilizing Generalized Structured Component Analysis - Ji Hoon Ryoo, University of Southern California; Kwanghee Jung, Texas Tech University; Heungsun Hwang, McGill University; Jaehwa Choi, The George Washington University
Impact of Conditions That Affect Exploratory Factor Analysis - Kevin Krost, Virginia Polytechnic Institute and State University
The Many Perspectives of Test Dimensionality: A Collaborative Narrative - Alexandra Lay, University of North Carolina - Greensboro; Terry A. Ackerman, University of Iowa