Displaying results 1 - 11 of 11 (Go to Advanced Search)
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: Word knowledge is critical for speaking, reading and writing, yet a substantial proportion of children with language impairment demonstrate poor word learning and consequently poor vocabulary. Because vocabulary has a causal relationship with reading comprehension, this presents a significant national health concern.
Project
Description: This was a longitudinal study that began in 2013 with 1st and 2nd grade children. These children attended school in the SE. Any child whose parents consented were included. Children were tested each fall for the following 3 years except for the first cohort who were not tested after 4th grade.
Project
Description: This LDbase project page containes the open science materials for our meta-analysis on the reading anxiety and reading achievement.
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: Profiles of Working Memory and Word Learning for Educational Research (POWWER)
Description: This dataset incudes data from 248 second graders (7- to 8-year-olds) with typical development from three states. One hundred sixty-seven were monolingual English-speaking and 81 were dual Spanish- and English-speaking.
Dataset
Part of Project: Florida Longitudinal Study
Description: This is the data set for the Florida Longitudinal Study
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: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: For the reading anxiety meta-analysis paper, in addition to the main text, some supplemental analyses were run. This document contains the results of the supplemental analyses.
Document Type: Figure
Document
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: In this preregisteration we outline our plan for conducting this meta-analysis on the association between reading anxiety and reading achievement. We provide a description of the study, including the study aims and research questions.
Document Type: Preregistration
Document
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: We are conducting a meta-analysis on the association between reading anxiety and reading achievement. This document, specifically, is our preregistered coding sheets we plan to use for extraction of information from each study included in the meta-analysis.
Document Type: Preregistration
