Dr. KyungSook Lee, Ph.D., is a research associate for the Community Evaluation and Research Collaborative (CERC) in the Office of University Outreach and Engagement (UOE) at Michigan State University. Lee holds a Ph.D. in Human Development and Family Studies from Michigan State University.
Lee has extensive experience working in UOE since 2008 on community-based research projects, including PAS, Wiba Anung, DAPCEP, Healthy Babies, and HSOS in which she serves as data manager, data analyst, and report writer. Her work focuses on maintaining large, complex longitudinal data sets and conducting sophisticated analyses of quantitative data using statistical software tools such as SPSS, Mplus, R, and HLM. The statistical methods she has experienced include linear models (e.g., regression, ANOVA, GLM, Configural Frequency Analysis, HLM, etc.), multivariate models, log-linear models, latent variable modeling (e.g., confirmatory factor analysis, structural equation modeling, latent class analysis, etc.), multilevel models, longitudinal analysis, psychometrics, Bayesian data analysis, survival analysis, missing data imputation, and sampling methodology (e.g., complex samples).
Lee has research interests in the application of quantitative methods in program evaluation and community-based research projects that have addressed family environmental factors, classroom quality, and cognitive and social-emotional development for young children. In addition, her research interests include exploring the complex problems and the sustainability of social and human behavioral systems nationally or internationally using system dynamics modeling techniques.
Research interests include:
- Applied research to improve the cognitive and social-emotional outcomes of children at-risk in the context of families and classrooms
- The social system change and human health
- Quantitative methods of research
- System Dynamics Modeling
Fitzgerald, H.E., Lee, K., Barnes, J.V. Farrell, P., Belleau, A., & Gerde, H. (in preparation). Family substance abuse and Head Start teachers’ perceptions of prekindergarten children’s behavior.
Pierce, S. J., Lee, K., & Van Egeren, L. (in preparation). Assessing cross-domain measurement invariance for teacher efficacy in science, math and literacy.
Gerde, H. K., Pierce, S. J., Lee, K., & Van Egeren, L. (2015). Early childhood educators' self-efficacy in science, math, and literacy instruction and science practice in the classroom. Manuscript in preparation for submission to Early Childhood Research Quarterly.
Lee, K., & Cho, S. I. (2015). The Classroom Assessment Scoring System (CLASSTM), Pre-K in USA and Finland: A meta-analysis. Journal of Early Childhood Education, 35(2), 293-317.
Lee, K., Saenz, G., Farrell, P., McKinney, M., Lewis, C., Tichenor, K., & Davis, J. (2015). The effectiveness of a mentoring program for young minority boys on academic and attitudinal outcomes.
Lee, K., & McNall, M. (2015). iMath evaluation. East Lansing, MI: Michigan State University, University Outreach and Engagement.
Using confirmatory factor analysis to develop scales and measure latent constructs
Pierce, S. J., & Lee, K.
Demonstration session abstract under review for presentation at Evaluation 2015: Exemplary Evaluations in a Multicultural World, the annual conference of the American Evaluation Association
A community based participatory research partnership: Perceptions of children’s adaptive behaviors in Tribal Head Start programs
Lee, K. S., Fitzgerald, H. E., Barnes-Najor, J., Gerde, H., Belleau, A., & Farrell, P.
Workshop presented at the Santa Fe Boys Educational Foundation Conference on the Psychology of Boys at Risk
Santa Fe, New Mexico
Classroom Assessment Scoring System in Korea
Lee. K., & Cho, S. I.
Paper presented at the Korean Society for Early Childhood Education (KSECE)
Seoul, South Korea