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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 project relates to the published manuscript available at https://doi.org/10.1177%2F1747021820923944
Project
Description: TikTok is increasingly used for the exchange of health information. The accuracy of content on TikTok related to depot medroxyprogesterone acetate is poorly understood. The aim of this analysis was to describe, score, and understand information available on the most popular TikTok videos featuring the tag #depo and/or #depoprovera.
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: Listening to Speech and Non-speech Sounds Activates Phonological and Semantic Knowledge Differently
Description: This contains the data related to the project "Listening to Speech and Non-speech Sounds Activates Phonological and Semantic Knowledge Differently" and its related manuscript which is available at 10.1177/1747021820923944
Dataset
Part of Project: #DepoProvera, An analysis of the most popular TikTok videos about Medroxyprogesterone Acetate
Description: Final categorization of each TikTok video used in the study. Categorical options are shown in the drop down of each cell.
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: Listening to Speech and Non-speech Sounds Activates Phonological and Semantic Knowledge Differently
Description: This document contains all of the stimuli developed and used in the overarching project.
Document Type: Other
