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Project
Description: 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.
Project
Description: In this study, we examined if data analytics gleaned from an online literacy application could inform teachers of student reading progress above and beyond their progress monitoring scores. Participants were all K-1 students in one elementary school in a southeastern state.
Dataset
Part of Project: Headsprout Data Analytics
Description: Data from the Headsprout data analytics project. This dataset includes student progress monitoring data (DIBELS, TOWRE, CELF), data analytics from their engagement in Headsprout, and information about their home literacy environment (UFLI Home Literacy survey.
Code
Part of Project: Project KIDS
Description: This code accompanies the preprint Do Student Behavior Ratings Predict Response to Tier 1 Reading Interventions? (10.35542/osf.io/jfxz5). Code is for R version 4.2.1 (2022-06-23) )macOS Montery 12.5
Code Type: Analysis
Document
Part of Project: Headsprout Data Analytics
Description: This is the codebook accompanying the dataset "All data from Headsprout project". It includes all variable names, labels, and label values, as well as information about missingness and summary statistics for each variable.
Document Type: Codebook
Document
Part of Project: Headsprout Data Analytics
Description: This is the original consent form used for the study. It includes the text for the parent consent form. The child assent script is included at the bottom of the document.
Document Type: Other
Document
Part of Project: Project KIDS
Description: This is a useful figure for new users of Project KIDS to see how the project worked. It lists the original projects, dates, and sample sizes of each component of Project KIDS.
Document Type: Figure