Project Activities
The researchers will formulate FLPS models for a variety of measurement scenarios and study their feasibility, estimation properties, robustness, and associated model-checking techniques. They will also develop and disseminate a set of vignettes with worked examples and open-source code in R that will make it possible for practitioners to fit and make inferences from multivariate intermediate data using FLPS models.
People and institutions involved
Project contributors
Products and publications
The research team will publish in peer-reviewed journals, present at conferences, and provide workshops at conferences and universities on FLPS models and the software for estimating them.
Publications:
ERIC Citations: Find available citations in ERIC for this award here.
Gagnon-Bartsch, J. A., Sales, A. C., Wu, E., Botelho, A. F., Erickson, J. A., Miratrix, L. W., & Heffernan, N. T. (2023). Precise unbiased estimation in randomized experiments using auxiliary observational data. Journal of Causal Inference, 11(1), 20220011.
Kang, H. A., Sales, A., & Whittaker, T. A. (2024). Flow with an intelligent tutor: A latent variable modeling approach to tracking flow during artificial tutoring. Behavior Research Methods, 56(2), 615-638.
Lee, S., Adam, S., Kang, H. A., & Whittaker, T. A. (2022, July). Fully Latent Principal Stratification: combining PS with model-based measurement models. In The Annual Meeting of the Psychometric Society (pp. 287-298). Cham: Springer Nature Switzerland.
Lee, S., Sales, A. C., Kang, H. A., & Whittaker, T. A. (2023). Fully Latent Principal Stratification With Measurement Models. arXiv preprint arXiv:2309.04047.
Vanacore, K., Gurung, A., Sales, A., & Heffernan, N. T. (2024, March). The Effect of Assistance on Gamers: Assessing The Impact of On-Demand Hints & Feedback Availability on Learning for Students Who Game the System. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 462-472).
Vanacore, K., Ottmar, E., Liu, A., & Sales, A. (2024). Remote monitoring of implementation fidelity using log-file data from multiple online learning platforms. Journal of Research on Technology in Education, 1-21.
Vanacore, K., Sales, A., Liu, A., & Ottmar, E. (2023, July). Benefit of gamification for persistent learners: Propensity to replay problems moderates algebra-game effectiveness. In Proceedings of the Tenth ACM Conference on Learning@ Scale (pp. 164-173).
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.
