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Model Selection Methods for Mixture Dichotomous IRT Models

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References

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2010

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A Mixture Rasch Model With Item Response Time Components

106 cited

2011A Latent Class Approach to Estimating Test-Score Reliability81 cited

2009Model Selection Indices for Polytomous Items79 cited

2013A Systematic Review of the Methodology for Person Fit Research in Item Response Theory: Lessons about Generalizability of Inferences from the Design of Simulation Studies75 cited

2016Distinguishing Subgroups of Narcissists with Latent Class Analysis71 cited

2011Parameter recovery and model selection in mixed Rasch models60 cited

2014Rasch Mixture Models for DIF Detection57 cited

2010Using Mixed-Measurement Item Response Theory With Covariates (MM-IRT-C) to Ascertain Observed and Unobserved Measurement Equivalence56 cited

2018Analysis of Process Data of PISA 2012 Computer-Based Problem Solving: Application of the Modified Multilevel Mixture IRT Model56 cited

2012Confirming Testlet Effects55 cited

2014The Log‐Linear Cognitive Diagnostic Model ( LCDM ) as a Special Case of the General Diagnostic Model ( GDM )54 cited

2011Latent variable mixture models: a promising approach for the validation of patient reported outcomes49 cited

2016An introduction to mixture item response theory models47 cited

2017Mind the generation gap: Differences between young and old in everyday lexical categories46 cited

2016Assessing Model Selection Uncertainty Using a Bootstrap Approach: An Update44 cited

2015IRT Modeling in the Presence of Zero-Inflation With Application to Psychiatric Disorder Severity43 cited