Displaying results 1 - 18 of 18 (Go to Advanced Search)
Project
Description: The primary goal of this project was to learn more about reading disabilities, particularly how they are displayed prior to entry into formal schooling and the emergence of conventional reading skills.
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: Florida Twin Project on Reading, Behavior, and Environment
Description: This dataset contains results from the initial survey assessment completed by parents and twins (who were 9 years or older) regarding the twin pair's environments and behaviors (2010). T
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: 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: 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: 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: Headsprout Data Analytics
Description: Data from the Headsprout data analytics project. This dataset includes student progress monitoring data (DIBELS, TOWRE, CELF), data analytics from their engagement in Headsprout, and information about their home literacy environment (UFLI Home Literacy survey.
Code
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: R code for analyses in Hart et al. (2024). See README for Hart et al. (2024) to orient to the organization of data and code.
Code Type: Analysis
Code
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README for Hart et al. (2024) to orient to the organization of data and code. (unpublished)
Code Type: Analysis
Document
Part of Project: Preschool Classification and Prevention of Reading Disabilities
Description: Codebook for the Preschool Classification and Prevention of Reading Disabilities PreK measures.
Document Type: Codebook
Document
Part of Project: Reading for Understanding Initiative
Description: This codebook contains information on the related Reading for Understanding project's data and measures.
Document Type: Codebook
Document
Part of Project: Florida Twin Project on Reading, Behavior, and Environment
Description: This codebook contains information on variables within the Behavior and Environment Survey dataset. This codebook corresponds to both the parent and twin self-report survey data.
Document Type: Codebook
Document
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: This document details the creation of the MERF dataset. The first portion of the document includes high-level details about the steps involved in creating the dataset. The second portion of the document includes the guidelines used by the team when conducting the inclusion/exclusion process and coding itself.
Document Type: Other
Document
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: README file that provides key information about the materials (data, code) to replicate the analyses in Hart et al., (2024). We highly recommend that you review this document.
Document Type: Other
Document
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: Codebook that accompanies the wide and long MERF Social-Emotional and Cognitive datasets.
Document Type: Codebook
