Christopher Schatschneider is a full professor in the Department of Psychology at Florida State University and is an Associate Director of the Florida Center for Reading Research. His research interests include early reading development, research design, and statistics.
Contributions
This dataset contains the latent variable READ_THETA that was estimated across 5 different projects using integrated data analysis
This is a pre-registration for a study beginning February 2024.
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 dataset contains all longitudinal data for the entirety of the WRRMP. This includes 10 waves worth of twin data, with extensive reading, math, behavioral, and environmental measures.
The Western Reserve Reading and Math Project (WRRMP) is a NIH funded longitudinal study on child development. The project has collected data annually for 15 years, with data on approximately 450 twin pairs collected during this time.
These data include information on family demographics, home environment, health information, child diet and nutrition, BRIEF, SWAN, all at the item level. This is cross-sectional data. Data can be linked to other Project KIDS data through the PK_ID variable.
Overarching Project Goals:
This project page describes the creation of a latent reading score created by combining data across 12 datasets available on LDBase. This variable is the product of an Integrated Data Analysis (IDA) which was modeled using a multiple-group measurement model described below.
Race and ethnicity variables can be particularly problematic for data reidentification and data misuse in publicly available datasets, and as such were removed from the original datasets.
This codebook contains information related to the variables within the "Twin Progress Monitoring and Reporting Network Data" dataset.
