Displaying results 1 - 20 of 68 (Go to Advanced Search)
Project
Description: The Western Reserve Reading and Math Project (WRRMP) is a NIH funded longitudinal study on child development. The project has collected data annually for 15 years, with data on approximately 450 twin pairs collected during this time. The project has had several focal points throughout its history.
Project
Description: The Meta-analysis of Educational RCTs with Follow-up (MERF) dataset was created to investigate critical questions about educational intervention fadeout and persistence. The sample is comprised of interventions targeting a diverse array of child outcomes across development (e.g.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains information for the CTP measures for Wave 4. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the Q2 measures for Wave 9. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the CQB measures for Wave 7. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the CQ measures for Wave 7. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the TRF measures for Wave 6. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the Q2 measures for Wave 6 as completed by mothers, See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the Q2 measures for Wave 6 as completed by the father. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the TRF measures for Wave 5. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the Q2 measures for Wave 5 as completed by the mother. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the Q2 measures for Wave 5 as completed by the father. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the TRF measures for Wave 4. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: Contains data for the PTP measures for Wave 4. See Master codebook or WRRMP measures list for more info.
Dataset
Part of Project: Western Reserve Reading and Math Project
Description: This dataset contains all longitudinal data for the entirety of the WRRMP. This includes 10 waves worth of twin data, with extensive reading, math, behavioral, and environmental measures. Due to the twin nature of the data, data is presented as both long and wide, with each twin represented twice within the dataset.
