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Hairong Song is an Associate Professor in the Department of Psychology at the University of Oklahoma, where she specializes in Quantitative Psychology. She earned her Ph.D. in Quantitative Psychology from the University of California, Davis, in 2009 and serves as the Program Coordinator for the Quantitative Psychology Ph.D. program. Song has also held the position of Interim Chair of the Department of Psychology, as noted in departmental communications from 2022. Her career at the University of Oklahoma includes progression from Assistant Professor to Associate Professor.
Song's research focuses on advanced quantitative methods, including intensive longitudinal data analysis and dynamical systems modeling, such as single- and multi-level dynamic factor analysis and time series analysis. She conducts psychometric evaluations of behavioral measures using Frequentist and Bayesian approaches, and examines measurement invariance and bias across groups and occasions. Additional interests include statistical techniques for analyzing change in panel data and dynamics in intensive longitudinal data. Substantively, her work addresses substance use and mental health outcomes among children, adolescents, and young adults, with applications in health, social, and behavioral research. She teaches courses on regression, multilevel modeling, structural equation modeling, hierarchical linear models, and factor analysis. Representative publications include "Reference Indicator Selection in Measurement Invariance Tests" (Thompson et al., 2021, Educational and Psychological Measurement), "Chronic disease as a risk factor for cigarette and e-cigarette use among rural Oklahoma emerging adults" (Cheney et al., 2023, Preventive Medicine Reports), "A Longitudinal Cross-Lagged Analysis" (He et al., 2016, Frontiers in Psychology), and "A Behavioral Genetic Study of Intrapersonal and Interpersonal Narcissism" (Luo et al., 2014, Journal of Research in Personality). Song has received the Senior Faculty Summer Fellowship from the College of Arts and Sciences in 2018 and seed funding awards from the Data Institute for Societal Challenges. She is accepting applications for new graduate students in the Quantitative Psychology Ph.D. program. Her office is located in Dale Hall Tower 815C.

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