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Novel Approaches for Model Fit
Sat, April 10, 4:10 to 5:40pm EDT (4:10 to 5:40pm EDT), Division D, Division D - Section 1 Paper and Symposium SessionsSession Type: Paper Session
Abstract
This session presents extensive progress in model fit research. The papers examine model fit from different angles, ranging from rater's illusory halo effect, rapid guessing, the effect of measurement error bias and omitted variable bias, the application of person fit indices, and a comparison study of two person fit statistics.
Sub Unit
Chair
Papers
A Mixture Rasch Facets Model for Raters' Illusory Halo Effects - Kuan-Yu Jin, Hong Kong Examinations and Assessment Authority; Ming Ming Chiu, The Education University of Hong Kong
Investigating Different Treatments of Rapid Guessing Through Concepts and Models Grounded in Missing Data Theory - Tobias Deribo, DIPF | Leibniz Institute for Research and Information in Education; Ulf Kroehne, German Institute for International Educational Research; Frank Goldhammer, DIPF | Leibniz Institute for Research and Information in Education
lz and lz* Person-Fit Statistics to Detect Aberrant Response Pattern - Yi Lu, The Federation of State Boards of Physical Therapy; Yu Zhang, The Federation of State Boards of Physical Therapy; Lorin Mueller, Federation of State Boards of Physical Therapy
Person-Fit Indices to Detect Social Desirability Bias Using Classifiers - Sanaz Nazari, University of Florida; Walter L. Leite, University of Florida
Addressing Measurement Error Bias and Omitted Variable Bias in Modeling Compositional Effects in Educational Settings - Ioulia Televantou, University of Nicosia Research Foundation & Theological School of Cyprus; Herbert W. Marsh, Australian Catholic University