Applications of AI (including GenAI and LLMs), machine learning, and data-adaptive methods in social and behavioral sciences
Psychometrics, multilevel and latent variable models
Psychological and educational measurement
Missing data and Bayesian data analysis
Zhou, B., Luo, N., Ji, F. (2025+). Federated Item Response Theory Models. arXiv:2506.21744
Ji, F., Lee, J., & Rabe-Hesketh, S. (accepted). Valid standard errors for Bayesian quantile regression with clustered and independent data. Journal of Educational and Behavioral Statistics.(R package on CRAN)
Han, Y., Wang, P., Ji, F., Liu, H. (accepted). Sequential Response Model with Growth Parameters for Process Data in Complex Problem Solving. Journal of Educational and Behavioral Statistics.
Han, Y., Ji, F., Chen, Y., Gan, K., Liu, H. (accepted). Analyzing Group Differences and Measurement Fairness in Process Data: A Sequential Response Model with Covariates. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences.
Ding, J., Fan, Z., Liu, H., Slotta, J., Ji, F., Hu, K. (accepted). Understanding collaborative programming dynamics: The role of prior knowledge, engagement, and ICAP learning modes. International Journal of Computer-Supported Collaborative Learning.
Zhang, Y., Luo, N., Kim, H., Li, X., Gao, L., Chen, S.,Han, Y., Zhang, X., He, J., & Ji, F. (2025+). Large Language Models (LLMs) for Evidence Synthesis: An Exploratory Evaluation and A New Approach for Automated Data Extraction. PsyArXiv preprint. https://doi.org/10.31234/osf.io/udysp_v1
Kim, H., Zhang, X., Han, Y., He, J., & Ji, F. (2025+). Assessing ChatGPT as a Power Analysis Tool: An Empirical Investigation. PsyArXiv preprint. https://doi.org/10.31234/osf.io/32mkv
Luo, N., Han, Y., He, J., & Zhang, X., Ji, F. (conditionally accepted). Fitting item response theory models using deep learning computational frameworks. Journal of Educational and Behavioral Statistics. PsyArXiv preprint. https://doi.org/10.31219/osf.io/tjxab
Ma, J., Zhang, X., He, G., Han, Y., Ge, T., Ji, F. From Path Coefficients to Targeted Estimands: A Comparison of Structural Equation Models (SEM) and Targeted Maximum Likelihood Estimation (TMLE)(2025+). arXiv Preprint. http://arxiv.org/abs/2511.01040
Gaggiano, C. M., Wang, S., Barnhart, W. R., Ji, F., & He, J. (2025). Explaining the associations between adverse childhood experiences and body dissatisfaction through the lens of appearance stigma. Body Image, 55, 101993.
Qi, J., Zhao, H., Xiang, R., Zhang, Y., Zhang, X., Wang, C., Liu, J., & Ji, F. (2025). Understanding the interaction between generative AI and factual knowledge in supporting students’ problem-solving. Journal of Research on Technology in Education. Advance online publication. https://doi.org/10.1080/15391523.2025.2601067
Wei, W., Shao, J., Lyu, R. Q., Hemono, R., Ma, X., Giorgio, J., Zheng, Z., Ji, F., Zhang, X., Katabaro, E., Mlowe, M., Sabasaba, A., Lister, C., Shabani, S., Njau, P., McCoy, S. I., and Wang, J. (2025+). Enhanced language models for predicting and understanding HIV care disengagement: A case study in Tanzania.
Zhou, B., & Ji, F. (2025). FedIRT: An R package for estimating federated item response theory models. Journal of Open Source Software.
Wang, C., Wang, X., Sun, H., Chen, J., & Ji, F. (2025). Mind and mood in harmony: synergizing cognitive efficiency and emotional engagement across different modalities of online learning resources. Interactive Learning Environments, 1-24.
Han, Y., Ji, F., & Jiang, Z. (2025). Two-stage polytomous attribute estimation for cognitive diagnostic models: overcoming computational challenges in large-scale assessments with many polytomous attributes. Humanities and Social Sciences Communications, 1-14.
He, J., Ji, F. (2025). Artificial Intelligence and Social Media for the Detection of Eating Disorders. International Journal of Eating Disorders.
Kong, T., Yang, Y., Ji, F., Liu, R., Luo, L. (2025). Combined effects of prenatal ozone exposure and school/neighborhood environments on youth brain, cognition, and psychotic-like experiences. Journal of Child Psychology and Psychiatry.
Pan, Z., Chen, Y., Barnhart, W. R., Cui, S., Chen, G., Ji, F., & He, J. (2025). How self-compassion moderates the associations of body image with eating disorder psychopathology, eating-related psychosocial impairment, and psychological distress: A longitudinal study in Chinese adolescents. Body Image, 55, 101989.
He, J., Wang, Z., Chen, X., Barnhart, W. R., Pan, Z., Cui, S., & Ji, F. (2025). Tripartite influence and social comparison theories for explaining eating disorder psychopathology in Chinese boys and girls: A longitudinal network perspective. Body Image, 54, 101952.
Han, Y., Ji, F., Wang, P., Liu, H. (2025). Assessing multiple abilities through process data in computer-based assessments: The multidimensional sequential response model (MSRM). Behavior Research Methods.
Yang, Y., Kong, T., Ji, F., Liu, R., & Luo, L. (2024). Associations among environmental unpredictability, changes in resting-state functional connectivity, and adolescent psychopathology in the ABCD study. Psychological Medicine.
Wang, S., Barnhart, W. R., Li, Y., Gaggiano, C. M., Jiang, Z., Wu, S., Ji, F. & He, J. (2024). Validation of the muscularity bias internalization scale in Chinese transgender and gender-diverse adults. Body Image, 52, 101857.
He, G., Ge, T., Ren, Y., & Ji, F. (2024). Changing perceptions: The role of policy mix in rural poverty governance. International Journal of Social Welfare.
He, J., Zhang, Y., Liu, Z., Barnhart, W. R., Cui, S., Chen, S. T., Ji, F. & Sun, S. (2024). Exploring the self-perceived causes of eating disorders among Chinese social media users with self-reported eating disorders. Journal of Eating Disorders, 12(1), 1-11.
Wang, Z., Cui, T., Barnhart, W., Ji, F., Nagata, J., He, J. (2024). Examining the associations between retrospective bullying victimization and perpetration and current disordered eating in Chinese men within an integrated interpersonal and emotion dysregulation model. Psychology of Men & Masculinities
Zhang, J., Cui, S., Xu, Y., Cui, T., Barnhart, W. R., Ji, F. & He, J. (2024). Introducing diagnostic classification modeling as an unsupervised method for screening probable eating disorders. Assessment, 10731911241247483.
Lai, M. HC., Zhang, Y., Ji, F. (2024). Estimating between‑cluster effects in multilevel modeling: An empirical Bayes cluster means approach with finite population corrections. Multivariate Behavioral Research
Chen, Y., Wang, S., Barnhart, W., Song, J., Cui, S., Ji, F., He, J. (2024) Translation and validation of a Chinese version of the Appearance Schemas Inventory-Revised in Chinese adults. Body Image
Huang, Z., Wang, S., Lin, Y., Cui, T., Barnhart, W. R., Gaggiano, C. M., Ji, F. & He, J. (2024). The gratitude model of body appreciation and intuitive eating: Replication and extension of the model to explain intuitive eating facets among young adult women in China. Appetite, 203, 107672.
Hilbert, M., Thakur, A., Flores, P. M., Zhang, X., Bhan, J. Y., Bernhard, P., & Ji, F. (2024). 8–10% of algorithmic recommendations are ‘bad’, but… an exploratory risk-utility meta-analysis and its regulatory implications. International Journal of Information Management, 75, 102743.
He, J., Wang, Z., Fu, Y., Wang, Y., Yi, S., Ji, F., & Nagata, J. M. (2024). Associations between screen use while eating and eating disorder symptomatology: Exploring the roles of mindfulness and intuitive eating. Appetite, 197, 107320.
Ji, F., Rabe‑Hesketh, S., Skrondal, A. (2023). Diagnosing and handling common violations of Missing at Random (MAR), Psychometrika, 1-21, doi: 10.1007/s11336-022-09896-0
Ji, F., Sun, H., Barnhart, W., Cui, T., Cui, S., Zhang, J. , He, J.(2023). Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults. Journal of Clinical Psychology
Ernst, A. F., Timmerman, M. E., Ji, F., Jeronimus, B., Albers, C. J. (2023). Multilevel mixture vector-autoregressive modeling. Psychological Methods, https://doi.org/10.1037/met0000551
Barnhart, W., Cui, T., Cui, S., Ren, Y., Ji, F., He, J. (2023). Exploring the prospective relationships
between weight bias internalization, psychological distress, and food addiction symptoms in
Chinese adolescents. International Journal of Eating Disorders, doi: 10.1002/eat.24066
Yin, P., Ji, F., Blum, A. (2023). Exploring Chinese international students’ attitudes towards anti-China rhetoric: Development and initial validation of an item response theory-based measure. Journal of Diversity in Higher Education, https://doi.org/10.1037/dhe0000513
Wang-Kildegaard, B., Ji, F. (2023). Context synthesis accelerates vocabulary learning through reading:
The implication of distributional semantic theory on second language vocabulary research. Applied Linguistics, 1-25. doi: 10.1093/applin/amad014/7150752
Schneider, W.J., Ji, F. (2023). Detecting unusual score patterns in the context of relevant predictors. Journal of Pediatric Neuropsychology (R package on CRAN, Shiny app), 9(1), 1-17. doi: 10.1007/s40817-022-00137-x
Han, Y., Liu, H., & Ji, F. (2022). A sequential response model for analyzing process data on technology-based problem-solving tasks. Multivariate Behavioral Research, 57(6), 960-977. doi: 10.1080/00273171.2021.1932403
Ji, F., Xiao, X., Amanmyradova, A., Rabe‑Hesketh, S. (2022). Bayesian Structural Equation Modeling
using blavaan. Stan Case Studies, Volume 10.
Liu, R., Phillips, J. J., Ji, F., Shi, D., & Bell, M. A. (2021). Temperamental shyness and anger/frustration in childhood: Normative development, individual differences, and the impacts of maternal intrusiveness and frontal electroencephalogram asymmetry. Child Development, 92(6), 2529-2545. doi: 10.1111/cdev.13621
Ji, F., Amanmyradova, A., Rabe‑Hesketh, S. (2021). Bayesian latent class models and handling of
label-switching. Stan Case Studies, Volume 8.
He, J., Ji, F., Zhang, X., & Fan, X. (2019). Psychometric properties and gender invariance of the simplified Chinese version of Night Eating Questionnaire in a large sample of mainland Chinese college students. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 24(1), 57-66. doi: 10.1007/s40519-018-0553-7
Lee, J., Sim, N., Ji, F., Rabe‑Hesketh, S. (2018). Multilevel linear models using rstanarm.
Stan Case Studies, Volume 5.
Ji, F., Zhou, B. (2025). missalpha: Find Range of Cronbach Alpha with a Dataset Including Missing Data.
R package version 0.2.0 CRAN
Yuan, Y., Zhou, B., Ji, F. (2024). BKT: Bayesian Knowledge Tracing in R. R package version 0.0.1 CRAN
Ji, F., Lee, J., Rabe-Hesketh, S. (2024). IJSE: Infinitesimal Jackknife Standard Errors for 'brms'
Models. R package version 0.1.2. CRAN
Zhou, B., Ji, F. (2024). FedIRT: Federated Item Response Theory Models. R package version 1.1.0
Ji, F. (2020). Shiny apps for visualizing multilevel models:
Ji, F. (2020). gIVCV: General instrumental variables with cross validation for massive A/B test
experiments. R package version 0.1.0. Vignette
Schneider, W., Ji, F. (2018). unusualprofile: A new method to interpret individual results of
psychological test batteries using conditional Mahalanobis distance. R package version 0.1.0.
CRAN, package website, online tutorial, Top 40 New R Packages in May 2021 on CRAN by RView of RStudio
Psychological Review 2023 - present
Child Development 2024 - present
Journal of Experimental Psychology: General 2024 - present
Behavior Research Methods 2024 - present
Biometrics, British Journal of Mathematical and Statistical Psychology, BMC Medical Research Methodology, Multivariate Behavioral Research, Behavior Research Methods, Psychological Methods, Applied Psychological Measurement, Journal of Open Source Software, Child Development, Journal of Educational Psychology, Journal of Eating Disorders, Journal of Family Psychology, Current Psychology, Journal of Community Psychology, Children and Youth Services Review, Psychology of Addictive Behaviors, British Journal of Sociology, BMJ Mental Health, Research in Social Stratification and Mobility, Health Promotion and Chronic Disease Prevention in Canada, Psychology, Public Policy, and Law, Appetite