Displaying results 1 - 9 of 9 (Go to Advanced Search)
Project
Description: Mathematical thinking is in high demand in the global market, but approximately six percent of school-age children across the globe experience math difficulties (Shalev, et al., 2000).
Project
Description: The purpose of this IES-funded project (#R305A180293, PI = Bailey) was to evaluate the efficacy of Preschool RULER, an approach to social and emotional learning focused on young children and the key adults in their lives (https://rulerapproach.org).
Project
Description: This five-year (2018-2023), research-to-practice partnership between Yale University and local community stakeholders funded by the Tauck Family Foundation (https://tauckfamilyfoundation.org) was tasked with creating a community of practice by infusing SEL into the culture and infrastructure of the community and ensuring coordinated, equitable a
Dataset
Part of Project: The Home Math Environment and Children's Math Achievment: A Meta-Analysis
Description: The data are in long form, with some studies having multiple lines and includes a sample of children ranging from 3.54 to 13.75 years old. The main effect size is the r, correlation coefficient, and the accompanying sample size is also included.
Dataset
Part of Project: Preschool Social and Emotional Development Study
Description: These data are children ages 2 through 5, includes preschool, child, and family demographic characters, social and emotional skills, cognitive skills, early math, early reading, and other indicators of kindergarten readiness (e.g., approaches to learning). Data were collected via director child assessments and teacher report.
Dataset
Part of Project: Improving the Academic Performance of First-Grade Students with Reading and Math Difficulty
Description: This data set includes teacher identification (nesting) variable, reading and math scores, cognitive scores, and demographics .
Code
Home Math Environment and Children's Math Achievement Meta-Analysis R code using the Metafor package
Part of Project: The Home Math Environment and Children's Math Achievment: A Meta-Analysis
Description: This code was written in R version 3.5.3 using the metafor package (Viechtbauer, 2010). First the dataset is called in, then the variables are converted to the correct formats for analysis, then the escalc() function is used to calculate an overall Fisher's Z effect size, which is then converted to an R correlation coefficient.
Code Type: Analysis
Document
Part of Project: Preschool Social and Emotional Development Study
Description: This codebook accompanies the Preschool Social and Emotional Development Study—Connecticut Dataset.
Document Type: Codebook
Document
Part of Project: Improving the Academic Performance of First-Grade Students with Reading and Math Difficulty
Description: This is the codebook accompanying the dataset Comorbid Word Reading and Math Computation Difficulty at Start of First Grade.
Document Type: Codebook
