Displaying results 1 - 8 of 8 (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: This project is a research study which had a goal of discovering the correlation between internet addiction, introversion, and loneliness. A survey exercise was carried out targeting vocational college students in Chongqing City where questionnaires were randomly administered to 150 students, male and female aged 18 and above.
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: Internet Addiction, Introversion and Loneliness: A Study of Chinese Vocational College Students
Description: This data is vocational college students, male and female, located in Chongqing City, China, and has internet addiction, Introversion and loneliness variables
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
