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.
- MA, Educational Psychology, University of Arizona, Tucson, AZ
- PhD, Quantitative Methods and Evaluation, UC Berkeley, Berkeley, CA
- Structural Equation Modeling, Psychometrics, Multilevel/Longitudinal Modeling, Causal Inference.
Dr. Gochyyev has published numerous papers - some titles are highlighted below. You can view a complete listing of Dr. Gochyyev's publications on Google Scholar or in his CV.
Having your cake and eating it too: multiple dimensions and a composite.