Characterizing the Latent Classes in a Mixture IRT Model Using DIF

2021 ◽  
pp. 1-11
Author(s):  
Tugba Karadavut
Keyword(s):  
Latent Classes ◽  
Irt Model ◽  
Mixture Irt

scholarly journals The Impact of Markov Chain Convergence on Estimation of Mixture IRT Model Parameters

2020 ◽  
Vol 80 (5) ◽  
pp. 975-994
Author(s):  
Yoonsun Jang ◽  
Allan S. Cohen
Keyword(s):  
Markov Chain ◽  
Item Response Theory ◽  
Item Response ◽  
Monte Carlo Algorithm ◽  
Accurate Estimation ◽  
Model Parameters ◽  
Response Theory ◽  
Irt Model ◽  
Mixture Irt ◽  
Item Response Theory Models

A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the accuracy of model parameters estimated with different degree of convergence. Results indicated the accuracy of the estimated model parameters for the mixture item response theory models decreased as the number of iterations of the Markov chain decreased. In particular, increasing the number of burn-in iterations resulted in more accurate estimation of mixture IRT model parameters. In addition, the different methods for monitoring convergence of a Markov chain resulted in different degrees of convergence despite almost identical accuracy of estimation.

A Multilevel Mixture IRT Model With an Application to DIF

2010 ◽  
Vol 35 (3) ◽  
pp. 336-370 ◽  
Author(s):  
Sun-Joo Cho ◽  
Allan S. Cohen
Keyword(s):  
Irt Model ◽  
Mixture Irt

scholarly journals The Impact of Non-Normality on Extraction of Spurious Latent Classes in Mixture IRT Models

2015 ◽  
Vol 40 (2) ◽  
pp. 98-113 ◽  
Author(s):  
Sedat Sen ◽  
Allan S. Cohen ◽  
Seock-Ho Kim
Keyword(s):  
Latent Classes ◽  
Irt Models ◽  
Mixture Irt ◽  
The Impact

Examining the Effectiveness of Test Accommodation Using DIF and a Mixture IRT Model

2012 ◽  
Vol 25 (4) ◽  
pp. 281-304 ◽  
Author(s):  
Hyun-Jeong Cho ◽  
Jaehoon Lee ◽  
Neal Kingston
Keyword(s):  
Irt Model ◽  
Mixture Irt
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