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Senior Researcher, Team Scale Development and Documentation (2020–present)
Ph.D. in Quantitative Research, Evaluation, and Measurement from The Ohio State University (2015-2018)
M.S. in Statistics from the Ohio State University (2013-2015)

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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
    Measurement Invariance
    Modeling Zero-Inflated Count Data

    Item Response Theory
    Latent Variable Modeling

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Journal article

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:

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.."


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Conference contribution

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.