Latent Transition Analysis With a Mixture Item Response Theory Measurement Model
نویسندگان
چکیده
A latent transition analysis (LTA) model was described with a mixture Rasch model (MRM) as the measurement model. Unlike the LTA, which was developed with a latent class measurement model, the LTA-MRM permits within-class variability on the latent variable, making it more useful for measuring treatment effects within latent classes. A simulation study indicated that model recovery using the LTA-MRM was good except for small sample size–short test conditions. A real data application of a mathematics intervention with middle school students indicated that the LTA-MRM clearly detected the intervention effect and also provided a means of helping to better understand the effects compared to a standard multiwave analysis of variance.
منابع مشابه
The Comparison of Two Models for Evaluation of Pre-internship Comprehensive Test: Classical and Latent Trait
Introduction: Despite the widespread use of pre-internship comprehensive test and its importance in medical students’ assessment, there is a paucity of the studies that can provide a systematic psychometric analysis of the items of this test. Thus, the present study sought to assess March 2011 pre-internship test using classical and latent trait models and compare their results. Methods: In th...
متن کاملInvestigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions
This study investigates the impact of item parameter drift (IPD) on parameter and ability estimation when the underlying measurement model fits a mixture distribution, thereby violating the item invariance property of unidimensional item response theory (IRT) models. An empirical study was conducted to demonstrate the occurrence of both IPD and an underlying mixture distribution using real-worl...
متن کاملA model that combines diagnostic classification assessment with mixture item response theory models
The purpose of this dissertation is to present a new psychometric model that combines a Mixture Rasch model with a diagnostic model. We refer to this model as a diagnostic classification mixture Rasch model (DCMixRM). The motivation for the development of the DCMixRM is twofold. First, the DCMixRM is designed to provide rigorous explanation as to factors that are potentially causing the latent ...
متن کاملComparing Latent Structures of the Grade of Membership, Rasch, and Latent Class Models
This paper focuses on model interpretation issues and employs a geometric approach to compare the potential value of using the Grade of Membership (GoM) model in representing population heterogeneity. We consider population heterogeneity manifolds generated by letting subject specific parameters vary over their natural range, while keeping other population parameters fixed, in the marginal spac...
متن کاملA Mixture Rasch Model–Based Computerized Adaptive Test for Latent Class Identification
This study explored a computerized adaptive test delivery algorithm for latent class identification based on the mixture Rasch model. Four item selection methods based on the Kullback– Leibler (KL) information were proposed and compared with the reversed and the adaptive KL information under simulated testing conditions. When item separation was large, all item selection methods did not differ ...
متن کامل