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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 explore the effects of a self-monitoring self-care intervention on the resilience and self-efficacy of pre-service teachers' (PSTs). PSTs enrolled in an education preparation program will be randomly assigned to a control or treatment group. Both groups will participate in a a resilience and stress reduction training.
Project
Description: This meta-analysis aims at examining whether statistically significant differences in EF exist between bilingual and monolingual individuals, as well as estimating the potential moderators of such differences.
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: A Meta-Analysis of the Bilingual Advantage in Executive Function among Children
Description: This data set corresponds to 172 studies examining the bilingual advantage.
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
