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.
Contributions
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.
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.
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.
This dataset contains information from the Florida Progress Monitoring and Reporting Network (PMRN) linked to the Florida Twin Project twins.
This codebook contains information on the variables within the Wave 3 Child Achievement Measures dataset. Original coding is provided, with alterations to coding for deidentification purposes annotated within the document.
This codebook contains information on the variables in the Wave 2 Child Achievement Measures dataset. Original coding is provided, with alterations to coding for deidentification purposes annotated within the document.
This codebook contains information on the variables within the Wave 1 Achievement Measures dataset. Original coding is provided, with alterations to coding for deidentification purposes annotated within the document.
This dataset contains measures from the third wave of data collection of the twins' achievement (collected in 2016). Data was collected via parent assessment using instructions sent in the mail.
