Displaying results 1 - 7 of 7 (Go to Advanced Search)
Project
Description: The Meadows Center for Preventing Educational Risk (MCPER) partnered with the University of Houston, The University of Texas Health Science Center at Houston, Texas A&M University, and Florida State University to improve the reading comprehension of students in grades 7 through 12.
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: 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.
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
Code
Part of Project: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: This is the code for analyses run for our study. This includes frequencies and descriptive statistics, chi-square tests, and ANOVAs.
Code Type: Analysis
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
