Christine White, M.S.
Ph.D. Candidate at florida state university
+ Reading + translation + open science +
About me
I am a fourth-year doctoral candidate at Florida State University studying Developmental Psychology and an Institute of Education Sciences pre-doctoral fellow through the Florida Center for Reading Research. Through this fellowship, I engage in interdisciplinary research and coursework focused on supporting the reading achievement of diverse K-12 students in the United States.I am a member of the Schotz Lab, working with Dr. Chris Schatschneider and fellow graduate students on collaborative and independent research related to measurement, advanced statistics, and cognitive predictors of reading ability.
RESEARCH INTERESTS
Increasingly, I am focused on evaluating the credibility and accessibility of published research, asking the questions: How do we know what we "know" about reading instruction, assessment, and intervention? What systematic and unique factors threaten the accessibility, replicability, and reproducibility of research? What individual and institutional levers can be pulled to support and incentivize participation in open practices?I am also passionate about translational science and effective data visualization, including the creation of free online tools to support evidence-based decision-making.Check out the Research tab to learn more about the projects and presentations I have completed so far, and the Data Viz tab for data visualizations!
OUTSIDE THE LAB
I have many interests & hobbies and I am always trying to grow as a person as well as a researcher! I have lived in 4 U.S. states and have traveled all over the country camping and hiking. Currently, I am training for my second half-marathon, working on several crocheting and knitting projects, and cooking my way through a plant-based soup cookbook!
CURRICULUM VITAE
Check out my CV here! (OSF)
PUBLICATIONS
In Preparation
White, C. M., Estrera, S. A., Friedmann, E., Santangelo, D., Vazquez, C. & Schatschneider, C. (in prep). The open science of reading: A systematic review.In Press
White, C. M., Estrera, S. A., Schatschneider, C., & Hart, S. A. (in press). Getting started with data sharing: Advice for researchers in education. Research in Special Education. (post-print)2023
White, C. M. & Schatschneider, C. (2023). Are two screeners better than one? A simulation study of correlation and classification in universal screening. Contemporary School Psychology (online first publication). https://doi.org/10.1007/s40688-023-00478-0. Data available here (OSF)Schatschneider, C., Santangelo, D., White, C. M., Vazquez, C., & Friedmann, E. (2023). Design and methodology in the Science of Reading. The Reading League Journal, 4 (1), 23-31. (link)2022
Edwards, A. A., van Dijk, W., White, C. M., & Schatschneider, C. (2022). Screening screeners: Calculating classification indices using correlations and cut-points. Annals of Dyslexia, 1-16. (link)
PRESENTATIONS
2023White, C. M. & Schatschneider, C. (2023, October). Correlation and classification in universal screening for reading difficulties: A simulation study. Poster presented at the Annual International Dyslexia Association Literacy and Learning Conference, Columbus, OH, USA. Available on figshare.2022
Santangelo, D., White, C. M., Vazquez, C., Edwards, A., & Schatschneider, C. (2022, July). Rapid automatized naming and the influence of bigram frequency on naming speed: A meta-analysis. Poster presented at the Twenty-Ninth Annual Conference of the Society for the Scientific Study of Reading, Newport Beach, USA.Fausey, C. M., Mendoza, J. K., Anderson, H. T., Kuznia, A., Wang, A. F., White, C. M., and Edgar, M. (2022, July). Infant vocalizations cluster with others’ singing in everyday soundscapes. Paper presented at International Congress of Infant Studies, Ottawa.White, C. M. & Schatschneider, C. (2022, March). Gated screening for reading difficulties using common measures and real correlations. Poster presented at Florida Center for Reading Research Education Sciences Colloquium, Tallahassee, USA.2018
Fausey, C. M., Mendoza, J. K., Anderson, H. A., and White, C. M. (2018, July). Infants do not re-live the same hour all day long. Flash talk presented at International Congress of Infant Studies, Philadelphia, USA.Haskinson, S. M., Mendoza, J. K., White, C. M., & Fausey, C.M. (2018, July). The natural statistics of naps and language in everyday infancy. Poster presented at International Congress of Infant Studies, Philadelphia, USA.
DATA VISUALIZATION
Open Science October. As part of my work with LDbase, I co-organize an annual online event aimed to increase public engagement with openly available data by inviting participants to create & share data visualizations. I also contributed several visualizations myself! See below for some of the visualizations I have created so far.
Tidy Tuesday. I have made many data visualizations in R in response to the R for Data Science group's #TidyTuesday prompts. Check out the visualizations included below and take a look at the R code I used to make them on GitHub!
Exploring predictive power. With this interactive Shiny app, users can explore the relationships among common indices used to evaluate screening tools.Try it out here!
