Position Title
PhD Candidate
Education
- MA, Psychology, University of California Davis, 2022
- MSc, Statistics, National University of Singapore, 2019
- BSc, Statistics, University of Delhi, 2017
About
Rohit Batra (rbat@ucdavis.edu) is a 5th-year Ph.D. student in Quantitative Psychology working on developing continuous-time dynamic models to better understand psychological processes. He grew up in Delhi, India, and received his undergraduate degree in Statistics from the University of Delhi. He also lived in Singapore for two years and received his Master’s in Science in Statistics from The National University of Singapore.
Research Focus
Currently, Rohit's research interests are interaction of timescales for a psychological process, understanding the consequences of sampling on continuous-time models, and modeling measurement confounds such as retest effects in longitudinal models of change. Rohit is also interested in the translation of our verbal theories into formal models of differential equations and tools that can help substantive researchers with such translation.
Publications
Batra, R.*, Chen, M.*, Beck, E. & Ferrer, E. (under review) Translating psychological theories into testable differential equation models: Guidelines for model building. Special Issue: Modeling and Interpretation of Personality and Individual Differences Constructs. Journal of Research in Personality
Batra, R.*, Johal, S.K.*, Chen, M. & Ferrer, E. (2023). Consequences of sampling frequency on the estimated dynamics of AR processes using continuous time models. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000595
Sun, H. & Batra, R. (2022). Contexualized and decontextualized questions on bilinguals’ heritage language learning and reading engagement. Reading and Writing, 1-37. https://doi.org/10.1007/s11145-022-10332-z
Batra, R., Bunge, S. A., & Ferrer, E. (2021). Modeling Retest Effects in Developmental Processes Using Latent Change Score Models. Structural Equation Modeling: A Multidisciplinary Journal, 1–15. https://doi.org/10.1080/10705511.2021.1946807
Batra, R.*, Johal, S.K.* & Ferrer, E. (2023). Collecting longitudinal data: Present issues and future challenges. In H. Cooper, M. N. Coutanche, L. M. McMullen, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology: Research designs: Quantitative, qualitative, neuropsychological, and biological (pp. 385–408). American Psychological Association. https://doi.org/10.1037/0000319-018
Teaching
Associate Instructor
PSC 103A - Statistical Analysis of Psychological Data (Fall 2022)
Teaching Assistant
PSC 204A - Graduate Course on Statistical Analysis of Psychological Experiments (Fall 2023)
PSC 103A - Statistical Analysis of Psychological Data (Winter 2023, Fall 2021, Winter 2021, Fall 2020, Winter 2020)
PSC 001 - General Psychology (Spring 2023, Spring 2022, Spring 2021, Spring 2020)
PSC 041 - Research Methods in Psychology (Winter 2022)
Awards
Psychology Summer Research Fellowship, 2023
Psychology Graduate Student Award for Outstanding Teaching, 2023
First-Year Research Fellowship, Fall 2019