ResearchBroadly, 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: https://doi.org/10.1186/s42409-020-00020-5.
Sawyer, Brook E., Ann O’Connell, Nivedita Bhaktha, Laura M. Justice, Julie R. Santoro, and Anna Rhoad Drogalis. 2020. "Does teachers’ self-efficacy vary for different children?: A study of early childhood special educators." Topics in Early Childhood Special Education online first. doi: https://doi.org/10.1177/0271121420906528.
Bhaktha, Nivedita. 2020. "Modeling Zero-Inflated Count Data. Presented at the Conference on Statistical Practice, Sacramento, California, USA." Conference on Statistical Practice.To top
Contribution not at conference
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, Online, 18.03.2021.