School of Education

Data repository for the School of Education at Baylor University

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1 to 10 of 13 Results

Replication Data for: iEngage Demographics Feb 12, 2024 - Curriculum & Instruction/Teaching LeCompte, Karon, 2024, "Replication Data for: iEngage Demographics", https://doi.org/10.18738/T8/0OQ2Z5, Texas Data Repository, V1, UNF:6:VlQNssBOPTyvXInY9DWPVw== [fileUNF] Ethnicity Data for iEngage 2023
Karon LeCompte Dataverse(Baylor University) Feb 7, 2024Curriculum & Instruction/Teaching
R Scripts and Analyses for Method Effects Investigations Jun 29, 2021 - Method Effects in Survey Research in Education Padgett, R. Noah; Morgan, Grant B.; Wells, Kevin, 2021, "R Scripts and Analyses for Method Effects Investigations", https://doi.org/10.18738/T8/QS0HZ7, Texas Data Repository, V1 These data all relate the work on investigating method effects. We hope that our commented and reproducible analyses will provide guidance to those wishing to investigate methods effects in their own research.
Method Effects in Survey Research in Education(Baylor University) Jun 29, 2021Educational Psychology
ML-CFA Monte Carlo Simulation Back Up Files Nov 21, 2019 - Multi-level Factor Analysis Simulation Padgett, R. Noah; Morgan, Grant, 2019, "ML-CFA Monte Carlo Simulation Back Up Files", https://doi.org/10.18738/T8/RBUFZG, Texas Data Repository, V1 This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis.
Monte Carlo Simulation Results Categorical Latent Class Analysis Mar 25, 2019 - Mixture Modeling with Categorical 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, 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, 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
Mixture Modeling with Categorical Responses(Baylor University) Feb 11, 2019Educational Psychology
Rasch Residual-Based Fit Statistics(Baylor University) Jan 16, 2019Educational Psychology

Replication Data for: iEngage Demographics

Feb 12, 2024 - Curriculum & Instruction/Teaching

LeCompte, Karon, 2024, "Replication Data for: iEngage Demographics", https://doi.org/10.18738/T8/0OQ2Z5, Texas Data Repository, V1, UNF:6:VlQNssBOPTyvXInY9DWPVw== [fileUNF]

Ethnicity Data for iEngage 2023

Karon LeCompte Dataverse(Baylor University)

Feb 7, 2024Curriculum & Instruction/Teaching

R Scripts and Analyses for Method Effects Investigations

Jun 29, 2021 - Method Effects in Survey Research in Education

Padgett, R. Noah; Morgan, Grant B.; Wells, Kevin, 2021, "R Scripts and Analyses for Method Effects Investigations", https://doi.org/10.18738/T8/QS0HZ7, Texas Data Repository, V1

These data all relate the work on investigating method effects. We hope that our commented and reproducible analyses will provide guidance to those wishing to investigate methods effects in their own research.

Method Effects in Survey Research in Education(Baylor University)

Jun 29, 2021Educational Psychology

ML-CFA Monte Carlo Simulation Back Up Files

Nov 21, 2019 - Multi-level Factor Analysis Simulation

Padgett, R. Noah; Morgan, Grant, 2019, "ML-CFA Monte Carlo Simulation Back Up Files", https://doi.org/10.18738/T8/RBUFZG, Texas Data Repository, V1

This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis.

Monte Carlo Simulation Results Categorical Latent Class Analysis

Mar 25, 2019 - Mixture Modeling with Categorical 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, 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, 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

Mixture Modeling with Categorical Responses(Baylor University)

Feb 11, 2019Educational Psychology

Rasch Residual-Based Fit Statistics(Baylor University)

Jan 16, 2019Educational Psychology

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