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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: We will build out the comprehensive infrastructure (data integration, research products, training, and policy relevant recommendations) which is required to support informed and open-source use of the new US Report And Placement Integrated Data System (RAPIDS).
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: Unpacking Shyness Heterogeneity and Influencing Factors among Chinese Adolescents: A Person-centered Approach
Description: A total of 898 junior high school students in grades 7 to 9 from Ganzhou City, Jiangxi Province, China, were selected for this study with the necessary approvals from both schools and parents. The study was conducted as a group survey with the supervision of a psychology professional, and was administered during class time.
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: Building Infrastructure and Training Tools to Understand CPS Involvement and Trajectories: An Open-Source Approach
Description: RAPIDS Supplemental Policy Dataset and Documentation
Document Type: Other
