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: This study is a meta-scientific systematic review of published research literature in the content area of reading in order to estimate the prevalence of participation in key open science practices amongst authors publishing on this topic. This study is a conceptual replication and extension of previous studies by Cook et al.
Project
Description: The purpose of this Hub was to deepen insight into an understudied and vulnerable subset of students with learning disabilities (LD), students with comorbid difficulty across reading comprehension (RC) and word problem solving (WPS) and whether text structure intervention in one domain transfers to the other domain.
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: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: Nesting variables, treatment condition, demographics, pretest and posttest reading and math variables, text-structure knowledge for second-grade children with comorbid learning difficulty .
Dataset
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: Nesting variables, treatment condition, demographics, pretest and posttest reading and math variables, text-structure knowledge for classmates of second-grade children with comorbid learning difficulty
Dataset
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: This dataset includes the observations to determine the fidelity of implementation of the treatment conditions in the 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: Open science prevalence and predictors in scientific literature on reading
Description: This is a pre-registration for a study beginning February 2024. The study is a meta-scientific systematic review of published research literature in the content area of reading in order to estimate the prevalence of participation in key open science practices amongst authors publishing on this topic.
Document Type: Preregistration
Document
Part of Project: Open science prevalence and predictors in scientific literature on reading
Description: This document is an export of the Qualtrics forms that will be used by coders for the current systematic review. These are the initial versions associated with the preregistration published on 26 February 2024.
Document Type: Other
Document
Part of Project: Vanderbilt University Learning Disabilities Innovation Hub: Word Problems, Language, & Comorbid Learning Disabilities
Description: This codebook applies to the three datasets associated with this study:
1-Transfer between Reading Comprehension and Problem Solving
2-Classmates - Transfer between Reading Comprehension and Problem Solving
3-Fidelity - Transfer between Reading Comprehension and Problem Solving
Document Type: Codebook