Model Selection Methods for Mixture Dichotomous IRT Models

Allan S. Cohen · Seock‐Ho Kim · Sun‐Joo Cho

168 citations0/0 files storedApplied Psychological Measurement

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Bayesian Methods and Mixture Models

Abstract

This study examines model selection indices for use with dichotomous mixture item response theory (IRT) models. Five indices are considered: Akaike's information coefficient (AIC), Bayesian information coefficient (BIC), deviance information coefficient (DIC), pseudo-Bayes factor (PsBF), and posterior predictive model checks (PPMC). The five indices provide somewhat different recommendations for a set of real data. Results from a simulation study indicate that BIC selects the correct (i.e., the generating) model well under most conditions simulated and for all three of the dichotomous mixture IRT models considered. PsBF is almost as effective. AIC and PPMC tend to select the more complex model under some conditions. DIC is least effective for this use.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 168 citations exist upstream.

References

1992Fundamentals of item response theory 1981Marginal Maximum Likelihood Estimation of Item Parameters: Application of an EM Algorithm 1993Item Response Theory: Parameter Estimation Techniques.2004Item Response Theory 1973A Goodness of Fit Test for the Rasch Model 1990Rasch Models in Latent Classes: An Integration of Two Approaches to Item Analysis 1990Modeling Item Responses When Different Subjects Employ Different Solution Strategies 2004Deviance Information Criterion for Comparing Stochastic Volatility Models

Cited by

2010A Mixture Rasch Model With Item Response Time Components 2011A Latent Class Approach to Estimating Test-Score Reliability 2009Model Selection Indices for Polytomous Items 2013A Systematic Review of the Methodology for Person Fit Research in Item Response Theory: Lessons about Generalizability of Inferences from the Design of Simulation Studies 2011Parameter recovery and model selection in mixed Rasch models

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.