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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: There are consistent correlations between mathematics achievement, attitudes, and anxiety, but the longitudinal relations among these constructs are not well understood nor are sex differences in these relations.
Project
Description: Sex differences in the strength of the relations between mathematics anxiety, mathematics attitudes, and mathematics achievement were assessed concurrently in sixth grade (n = 1,091, 545 boys) and longitudinally from sixth to seventh grade (n = 190, 97 boys).
Project
Description: This study examined longitudinal outcomes of late-talking toddlers. Specifically, we included toddlers who participated in the Vocabulary Acquisition and Usage for Late Talkers (VAULT) treatment protocol.
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: Sex Differences in Mathematics Anxiety and Attitudes
Description: Sex differences in the strength of the relations between mathematics anxiety, mathematics attitudes, and mathematics achievement were assessed concurrently in sixth grade (n = 1,091, 545 boys) and longitudinally from sixth to seventh grade (n = 190, 97 boys).
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: A Longitudinal Assessment of Late Talking Toddlers
Description: This codebook contains the information needed to understand the variable naming conventions and structure for the VAULT dataset from the larger Longitudinal Assessment of Late Talking Toddlers project. Information is available for all timepoints.
Document Type: Codebook
Document
Part of Project: A Longitudinal Assessment of Late Talking Toddlers
Description: This document serves as an adjunct for understanding the nature of the VAULT data and its accompanying codebook. Specific information and citations are provided for the individual measures used. Additionally, the timeline/protocol used within the project is detailed in this document.
Document Type: Other
Document
Part of Project: A Longitudinal Assessment of Late Talking Toddlers
Description: This file contains information on how to calculate the used D-scores from the raw data provided. Additionally, the contained dataset is in long-format, which may cause difficulties for performing certain operations/analyses on the data.
Document Type: Other
