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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: This longitudinal research study explores the perceived and physiological stress, stressors, and work characteristics of childhood educators in the Midwest across the academic year 2021-2022 (during COVID-19). Data collection occurred over four time points.
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: Early Childhood Educators' Work and Stress
Description: These data are from time point 1 of the study and are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These longitudinal data contain information about hair cortisol in the participants across the first two time points of the study. Data are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are from time point 2 of the project. The data are in wide format. Data contain constructs of work characteristics, income, housing, economic hardship, food insecurity, personal stress, personal self-efficacy, depression, anxiety, and hair cortisol confounders.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are for time point 3 of the study. Data are in wide format.
Dataset
Part of Project: Early Childhood Educators' Work and Stress
Description: These data are for time point 4 of the study. Data are in wide format.
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: Early Childhood Educators' Work and Stress
Description: This is the codebook accompanying all datasets for this project. It includes the data dictionary, information on item-level variables, citations of assessments, and total scores for variables.
Document Type: Codebook
