Data repository for the School of Education at Baylor University
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 4,915 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
iEngage 2023 Demographics.tab
Feb 12, 2024 - Replication Data for: iEngage Demographics
Tabular Data - 230 B - 2 Variables, 11 Observations - UNF:6:VlQNssBOPTyvXInY9DWPVw==
iEngage Summer Camp Ethnicity
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_Chapter_Code.html
Jun 29, 2021 - R Scripts and Analyses for Method Effects Investigations
HTML - 841.7 KB - MD5: da7e29776136ea64f85ca174185164c2
Compiled output
Method_Effects_Chapter_Code.Rmd
Jun 29, 2021 - R Scripts and Analyses for Method Effects Investigations
Unknown - 6.7 KB - MD5: 9d721f6703564eca96be6b4088fd2e86
raw code for analyses
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.
condition_72_gen.inp
Nov 21, 2019 - ML-CFA Monte Carlo Simulation Back Up Files
Unknown - 2.1 KB - MD5: e1558ac952a4729df43ab81536ecc6f2
condition_72_gen.out
Nov 21, 2019 - ML-CFA Monte Carlo Simulation Back Up Files
Unknown - 39.4 KB - MD5: 853f04b85ef2b040dbddcb6b597f1760
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.