Broadly, my main research interests are in categorical data analysis, latent variable modeling, and research methods. I like to use these methodologies to answer pressing research questions in the field of educational research.
Specifically, my current research interests are:
Exploratory Data Analysis for Categorical Data
Modeling Zero-Inflated Count Data
Lechner, Clemens, Nivedita Bhaktha, Katharina Groskurth, and Matthias Bluemke. 2021. "Why ability point estimates can be pointless: A primer on using skill measures from large-scale assessments in secondary analyses." Measurement Instruments for the Social Sciences 3 (2). doi: http://dx.doi.org/10.1186/s42409-020-00020-5.
Bhaktha, Nivedita. 2020. "Sawyer, B. E., O’Connell, A., Bhaktha, N., Justice, L. M., Santoro, J. R., & Rhoad Drogalis, A. (2020). Does Teachers’ Self-Efficacy Vary for Different Children? A Study of Early Childhood Special Educators. Topics in Early Childhood Special Education, 0271121420906528.."
Groskurth, Katharina, Nivedita Bhaktha, Matthias Bluemke, Clemens Lechner, and Thorsten Meiser. 2021. "Moving Away From Fixed Cutoffs: What We Gain From ROC Analysis." Meeting of the Working Group on Structural Equation Modeling , University of Natural Resources and Life Sciences Vienna (BOKU), 18.03.2021.
Bhaktha, Nivedita. 2020. "Modeling Zero-Inflated Count Data. Presented at the Conference on Statistical Practice, Sacramento, California, USA." Conference on Statistical Practice.