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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 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: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
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: 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.
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.
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: 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
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
