Displaying results 1 - 20 of 71 (Go to Advanced Search)
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: Science of reading experts have called for increased attention on oral academic language. Specifically, interventions need to integrate multiple dimensions of academic language—word-, sentence-, and discourse-level patterns—to impact listening comprehension.
Project
Description: This project was funded by the NIH through the P50 Florida Learning Disabilities Research Center. More information about the project can be read in this publication about the project:
Taylor, J., Martinez, K., & Hart, S.A. (2019). The Florida State Twin Registry. Twin Research and Human Genetics, 22(6), 728-730.
Project
Description: In research, augmentative and alternative communication (AAC) interventions have primarily focused on teaching children to make requests (Logan et al., 2017); however, AAC intervention should not stop there.
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: Mentoring for clinical faculty in academic health centers offers numerous benefits; however, structured virtual mentoring remains understudied in this context.
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Project
Description: Language sampling is a critical component of language assessments. However, there are many ways to elicit language samples that likely impact the results. The purpose of this study was to examine how different discourse types and elicitation tasks affect various language sampling outcomes.
Project
Description: Project KIDS aimed to rigorously combine data from several independent RCTs to explore individual differences in response to intervention, focused on cognitive, behavioral, contextual, and family history correlates of intervention response.
Project
Description: This LDbase project page containes the open science materials for our meta-analysis on the reading anxiety and reading achievement.
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Description: This project contains the data related to the study "Methodological Decisions and their impacts on the perceived relations between school funding and educational achievement".
Project
Description: There is a growing concern about international reports citing the US student population is falling behind in STEM related outcomes.
Project
Description: The National Project on Achievement in Twins (NatPAT) is funded by the National Institutes of Health (grant number HD052120).
Project
Description: There is a growing concern about the influence of math anxiety on achievement outcomes and an individual’s potential for success. In response, many studies have investigated the effects of math anxiety on math ability and math outcomes in a variety of mathematics classes and at an assortment of grade levels.
Project
Description: This research addresses a conundrum: Why do twice as many boys as girls receive services to treat Developmental Language Disorder when community samples reveal gender parity in the prevalence of the condition?
Project
Description: The aim of this research is to create developmentally appropriate, play-based storytelling elicitation procedures to collect language samples of young children aged 18-48 months, tools for evaluating the magnitude and quality of narrative language produced in play-based storytelling sessions, and examine the psychometric properties of these new
Dataset
Part of Project: Project KIDS
Description: 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.
Dataset
Part of Project: Mentorship Matters
Description: Data gathered from both mentors and mentees prior to program launch
Dataset
Part of Project: Project KIDS
Description: These data are for each item on all achievement and behavioral assessments completed during the original intervention projects. The dataset is wide, with separate variable names for each wave of assessment. All participants (n= 4,038) are included. These data can be linked to the "total level" data using the PK_ID variable.
Dataset
Part of Project: Mentorship Matters
Description: Survey data gathered from mentors and mentees after the conclusion of the Mentorship Matters program.
