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Session Type: Paper Session
In this session, authors examine various issues with respect to differential item/bundle functioning or measurement invariance. Papers range in topics from effects of omitted, covariant, and continuous variables, to performance comparison of statistical models. Techniques used in the papers include mixture Rasch modeling, multiple-indicators multiple-causes modeling, latent score change modeling, and polytomous multi-level measurement modeling.
The Effect of Covariant Variable on Determination of Differential Item Functioning Using Mixture Rasch Model - Gozde Sirganci, Southern Methodist University; ömay çokluk bökeoğlu
A Polytomous Multilevel Measurement Model for Assessing Differential Functioning on Testlet-Based Polytomous Items - Wei Xu, The American Board of Anesthesiology; M. David Miller, University of Florida
Exploring Omitted Variable Bias Threat to Differential Item Functioning Assessment - Hsiu-Yi Chao, National Taiwan Ocean University; Jyun-Hong Chen, National Cheng Kung University; Chi-Chen Chen, College Entrance Examination Center
The Impact of Measurement Noninvariance on Latent Change Score Modeling: A Monte Carlo Simulation Study - Eunsook Kim, University of South Florida; Yan Wang, University of Massachusetts Lowell; Siyu Liu, University of South Florida - Tampa
Comparing Multiple Indicators Multiple Causes (MIMIC) and Alignment Method for Investigating Measurement Invariance With Respect to a Continuous Variable - Yuanfang Liu, University of Cincinnati; Hok Chio (Mark) Lai, University of Southern California; Benjamin Kelcey, University of Cincinnati