Perman Gochyyev, PhD
- Assistant Professor
- Healthcare Data Analytics
Dr. Gochyyev’s research and teaching interests are in biostatistics, 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, Neurology, Journal of Neural Transmission, American Journal of Physical Medicine & Rehabilitation, Psychological Assessment, Psychological Methods, Criminal Justice and Behavior, Journal of Genetic Counseling, Thinking Skills and Creativity, and Journal of Applied Measurement.
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 & Public Health, and Assessment, Testing and Applied Measurement section in Frontiers in Education.
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.
Wilson, M., & Gochyyev, P. (2021). Having your cake and eating it too: multiple dimensions and a composite. Measurement 151.
Rowe, H.P., Gochyyev, P., Lammert, A.C. et al. The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates. J Neural Transm 129, 1487–1511 (2022). https://doi.org/10.1007/s00702-022-02550-0
Gore, S., Gochyyev, P., & Tiwari, D. (2023). Item Analysis of Functional Measure Indicators in the National Health and Nutrition Examination Survey: A Cross-sectional Study. American journal of physical medicine & rehabilitation, 10.1097/PHM.0000000000002190. Advance online publication. https://doi.org/10.1097/PHM.0000000000002190
Erler, K. S., Wu, R., DiCarlo, J. A., Petrilli, M. F., Gochyyev, P., Hochberg, L. R., Kautz, S. A., Schwamm, L. H., Cramer, S. C., Finklestein, S. P., & Lin, D. J. (2022). Association of Modified Rankin Scale With Recovery Phenotypes in Patients With Upper Extremity Weakness After Stroke. Neurology, 98(18), e1877–e1885. https://doi.org/10.1212/WNL.0000000000200154