Sijia Huang

Sijia Huang is an Assistant Professor in the Department of Applied Psychology in Education and Research Methodology at the School of Education, Indiana University Bloomington. She holds a Ph.D. in Education from the University of California, Los Angeles and teaches EDUC-Y 520: Strategies for Educational Inquiry.

Her research expertise spans:

• Development and application of latent variable models
• Advanced item response theory (IRT) for complex data structures
• Statistical modeling of multidimensional, multilevel, and longitudinal datasets
• Interdisciplinary collaboration in educational and psychological measurement

Dr. Huang actively partners with researchers across disciplines to implement statistical models for empirical data analysis in educational contexts. Her methodological work directly supports evidence-based practices in psychological and educational sciences through rigorous quantitative approaches.