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
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