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Data repository for the School of Education at Baylor University

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1 to 8 of 8 Results

Monte Carlo Simulation Results Categorical Latent Class Analysis Mar 25, 2019 - Mixture Modeling with Categorial Responses Padgett, R. Noah;Tipton, Rebecca J., 2019, "Monte Carlo Simulation Results Categorical Latent Class Analysis", https://doi.org/10.18738/T8/CHW28Z, Texas Data Repository Dataverse, V2 This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.
Rasch Fit Statistics Simulation Results Feb 19, 2019 - Rasch Residual-Based Fit Statistics Padgett, R. Noah;Morgan, Grant B., 2019, "Rasch Fit Statistics Simulation Results", https://doi.org/10.18738/T8/AWC5FD, Texas Data Repository Dataverse, V2 The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics.
Multi-level Factor Analysis Simulation(Baylor University) Feb 13, 2019Educational Psychology Dataverse
Mixture Modeling with Categorial Responses(Baylor University) Feb 11, 2019Educational Psychology Dataverse
Rasch Residual-Based Fit Statistics(Baylor University) Jan 16, 2019Educational Psychology Dataverse
Educational Psychology Dataverse(Baylor University) Sep 12, 2017 Data repository for the Department of Educational Psychology at Baylor University
Educational Leadership Dataverse(Baylor University) Sep 12, 2017 Data repository for the Department of Educational Leadership at Baylor University
Curriculum & Instrucation Dataverse(Baylor University) Sep 12, 2017 Data repository for the Department of Curriculum and Instruction at Baylor University

Monte Carlo Simulation Results Categorical Latent Class Analysis

Mar 25, 2019 - Mixture Modeling with Categorial Responses

Padgett, R. Noah;Tipton, Rebecca J., 2019, "Monte Carlo Simulation Results Categorical Latent Class Analysis", https://doi.org/10.18738/T8/CHW28Z, Texas Data Repository Dataverse, V2

This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.

Rasch Fit Statistics Simulation Results

Feb 19, 2019 - Rasch Residual-Based Fit Statistics

Padgett, R. Noah;Morgan, Grant B., 2019, "Rasch Fit Statistics Simulation Results", https://doi.org/10.18738/T8/AWC5FD, Texas Data Repository Dataverse, V2

The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics.

Multi-level Factor Analysis Simulation(Baylor University)

Feb 13, 2019Educational Psychology Dataverse

Mixture Modeling with Categorial Responses(Baylor University)

Feb 11, 2019Educational Psychology Dataverse

Rasch Residual-Based Fit Statistics(Baylor University)

Jan 16, 2019Educational Psychology Dataverse

Educational Psychology Dataverse(Baylor University)

Sep 12, 2017

Data repository for the Department of Educational Psychology at Baylor University

Educational Leadership Dataverse(Baylor University)

Sep 12, 2017

Data repository for the Department of Educational Leadership at Baylor University

Curriculum & Instrucation Dataverse(Baylor University)

Sep 12, 2017

Data repository for the Department of Curriculum and Instruction at Baylor University

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