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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: Information for the broader "Embedding Working Memory Training within Math Problem Solving" project is described below.
Project
Description: Data sharing is increasingly becoming a highly encouraged or required practice for any federally funded research projects. However, the uptake of these practices in the field of education science has been minimal.
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: 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: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: Data used for Data Sharing project analyses. This is a subset of a larger dataset from the Data Management Project. Our subset includes variables relevant to our RQs and observations who completed parts of the survey relevant to our RQs. Data is in long format. The corresponding codebook details information available within our dataset.
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
Document
Part of Project: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: This codebook provides a description of each variable in our dataset and, when appropriate, provides the survey question the variable represents.
Document Type: Codebook
