Displaying results 1 - 20 of 25 (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 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.
Project
Description: The following contains the analytic code used to generate the findings reported in "Delay of Gratification and Adult Outcomes: The Marshmallow Test Does Not Reliably Predict Adult Functioning" in Child Development. We also report the means, standard deviations, and correlations among the key variables used in this analysis here.
Project
Description: This study addresses first-grade students with comorbid difficulty across word reading and calculations. Students with comorbid difficulty are randomly assigned to 4 conditions, a control group, coordinated treatment across reading & math, reading-only treatment, & math-only treatment.
Project
Description: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
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: 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: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches," a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Dataset
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches", a publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
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: 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 .
Dataset
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This file contains data associated with "Children’s Baseline Working Memory Moderates the Effects of Working Memory Training,” a paper submitted for publication by Lynn Fuchs, Sonya Sterba, Marcia Barnes, and Douglas Fuchs of Vanderbilt University.
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.
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
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: Embedding Working Memory Training within Math Problem Solving
Description: Publication in the Journal of Education Psychology (2022), 2022, Vol. 114, No. 7, 1633–1653.
Document Type: Journal Contribution
Document
Part of Project: Embedding Working Memory Training within Math Problem Solving
Description: This document is the codebook for all data associated with the manuscript Building Word-Problem Solving and Working Memory Capacity: A Randomized Controlled Trial Comparing Three Intervention Approaches.
Document Type: Codebook
