Perman Gochyyev, PhD

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Assistant Professor

Dr. Gochyyev’s research and teaching interests are in behavioral statistics, latent variable modeling, psychometrics, causal inference, and evaluation. His research spans across areas such as structural equation modeling, multilevel and longitudinal modeling, hidden Markov and latent class models, multidimensional measurement, and survival models. His work was published in both national and international journals, including Measurement, Psychological Assessment, Criminal Justice and Behavior, Thinking Skills and Creativity, Journal of Applied Measurement, and Journal of Chemical Education.

Dr. Gochyyev received his Ph.D. from the University of California, Berkeley in Quantitative Methods and Evaluation and his MA degree from the University of Arizona. He is also an ad-hoc reviewer for several journals and a reviewer board member for the International Journal of Environmental Research and Public Health.

Research Interests

Structural Equation Modeling, Psychometrics, Multilevel/Longitudinal Modeling, Causal Inference.


MA, Educational Psychology, University of Arizona, Tucson, AZ
PhD, Quantitative Methods and Evaluation, UC Berkeley, Berkeley, CA


Wilson, M., & Gochyyev, P. (2020). Having your cake and eating it too: multiple dimensions and a composite. Measurement 151.

Eno Louden, J., Gochyyev, P. & Skeem, J. (2020). Do specialty programs for justice-involved people with mental illness exacerbate stigma? Criminal Justice and Behavior.

Siddiq, F., Gochyyev, P., and Valls, O. (2020). The role of engagement and academic behavioral skills on young students' academic performance—A validation across four countries. Studies in Educational Evaluation.

Kantahan, S., Junpeng, P., Punturat, S., Tang, K. N., Gochyyev, P., Wilson, M. (2020). Designing and verifying a tool for diagnosing scientific misconceptions in genetics topic. International Journal of Evaluation and Research in Education 9 (3), 564-571.

Gochyyev, P., and Skeem, J. (2019). Efficiently assessing firm, fair & caring relationships: Short form of the dual role relationship inventory. Psychological Assessment, 31(3), 352-364.

Gochyyev, P., and Wilson, M. (2018). Hierarchical and higher-order factor structures in the Rasch tradition: A didactic. Journal of Applied Measurement 19(4), 338-362.

Hermisson, S., Gochyyev, P., and Wilson, M. (2018). Assessing pupils’ attitudes towards religious and worldview diversity. British Journal of Religious Education 12, 1-12.

Wilson, M., Scalise, K., and Gochyyev, P. (2018). Domain modelling for advanced learning environments: the BEAR Assessment System Software. Educational Psychology, 1-19.

Wilson, M., Scalise, K., and Gochyyev, P. (2018). Learning in digital networks as a modern approach to ICT literacy. In E. Care, P. Griffin, and M. Wilson (Eds.), Assessment and Teaching of 21st Century Skills: Research and Applications. Springer International Publishing.

Wilson, M., Scalise, K., and Gochyyev, P. (2018). Intersecting learning analytics and measurement science in the context of ICT literacy assessment. In E. Care, P. Griffin, and M. Wilson (Eds.), Assessment and Teaching of 21st Century Skills: Research and Applications. Springer International Publishing.