Email: dmanapat@ou.edu
Office: DHT 730
Research interests: machine learning, missing data, decision tree algorithms
* Dr. Manapat is accepting applications for new graduate students in the Quantitative Psychology Ph.D. program
Danielle (Rodgers) Manapat
Selected Publications
Rodgers, D. M., Jacobucci, R., & Grimm, K. J., (2021). A Multiple Imputation Approach for Handling Missing Data in Classification and Regression Trees. Journal of Behavioral Data Science, 1(1), 127-153. https://doi.org/10.35566/jbds/v1n1/p6
Grimm, K. J., Helm, J., Rodgers, D. M., & O’Rourke, H. (2021). Analyzing Cross-Lag Effects: A Comparison of Different Cross-Lag Modeling Approaches Data. New Directions for Child and Adolescent Development, 2021(175), 11-33. https://doi.org/10.1002/cad.20401
Grimm, K. J., Houpt, R., & Rodgers, D. M. (2021). Model Fit and Comparison in Finite Mixture Models: A Review and a Novel Approach. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.613645
Davoudzadeh, P., Grimm, K. J., Widaman, K. F., Desmarais, S. L., Tueller, S. J., Rodgers, D. M., & Van Dorn, R. A., (2020). Estimation of Latent Variable Scores with Multiple Group Item Response Models: Implications for Integrative Data Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 6(27), 931-941. https://doi.org/10.1080/10705511.2020.1724113
