Person: Sara A. Hart

Professional Titles
W. Russell and Eugenia Morcom Chair
Google Scholar ID

I am an interdisciplinary researcher who happens to find herself in a developmental psychology area.
My research efforts integrate theories and methods from developmental psychology, cognitive psychology, education, and behavioral genetics. Broadly, my substantive research relates to understanding how and why people differ in their cognitive development, particularly focused on reading and math development. My work is highlighted by the use of advanced methodological techniques and open science.

Most of my work to date has focused on using twin methods to understand the "nature" and "nurture" of child development. I also spend a lot of time trying to understand the direct role of environments around children, controlling for genetic predispositions. I currently have an NIH grant to create a national twin project, NatPAT, to examine the genetic and environmental influences on the co-development of reading and math skills through elementary school.

I also work in the field of meta-science, understanding how scientists do science, with a particular interest in supporting rigorous and reproducible educational and developmental science. I currently have an NIH grant to build a data repository, LDbase, to support the data storage and data access needs of scientists working in the field of learning disabilities.

Beyond my research, I am passionate about training, dissemination of research, and advocating for women and BIPOC in science. I am the PI of the Florida Learning Disabilities Research Center Engagement Core, with a mission to provide specialized training opportunities to students and postdocs, and disseminate our research to our community. I am the Co-Director of FIREFLIES, an IES funded predoctoral training grant focused on reading research. I am a co-founder and President of POWER, an association with the mission to connect, support, and advocate for women conducting research in the fields of education and child development.

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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: Project KIDS Family Survey Data Codebook Companion (Uploaded on September 29, 2021)

This is the companion to the codebook for the Project KIDS Survey Data dataset. The companion contains information on original publications, recoded variables, and total and sum score variables.

Document: Project KIDS Survey Data Codebook (Uploaded on September 29, 2021)

This is the codebook accompanying the data from Project KIDS Survey Data. Uploaded as a dependent is the codebook companion containing information on recoded variables.

Dataset: Project KIDS Survey Data (Uploaded on September 29, 2021)

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.

Document: Codebook for Full Data Project KIDS (Uploaded on September 19, 2021)

This codebook accompanies the Project KIDS Total Scores Dataset. This codebook contains information on all standardized assessments, including total scores, scaled scores, sum scores on subscales.

Document: Codebook for Item level data from Project KIDS (Uploaded on September 19, 2021)

This is the codebook accompanying the item level dataset from Project KIDS. For each of the assessments, it provides information on subtests, waves, and grades, when applicable.

Project: LDbase Integrated Dataset (Uploaded on July 23, 2021)

This dataset (once constructed) will contains construct-level factor scores representing Reading, Vocabulary, and other constructs that have been scaled across multiple projects here at LDbase.

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:

This code was written in R version 3.5.3 using the metafor package (Viechtbauer, 2010).

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.