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Maximum Marginal Likelihood Estimation of Multidimensional Generalized Partial Preference Model
Sat, April 13, 3:05 to 4:35pm, Convention Center, Floor: Fourth, Terrace Ballroom IVAbstract
The multidimensional generalized partial preference model (MGPPM) is a newly proposed IRT model for forced-choice questionnaires. The current study develops a maximum marginal likelihood estimation with an expectation-maximization algorithm for the MGPPM. Simulated and real data will be used to study its parameter recovery and demonstrate its use in practice.