Research

Summary

My research, published in top academic journals, combines advanced statistical techniques with psychological theory to understand the cognitive processes underlying decision-making. I have used Natural Language Processing and Machine Learning to model how people make budgeting decisions and how the sentiment of people’s written thoughts relates to their choices. I developed and implemented novel statistical models to understand the psychological principles underlying people’s attentional and decision processes. Borrowing insights from statistical physics, I have investigated how preferences for risky choices depend on the underlying decision environment.

Journal Articles

Li, Y., Krefeld-Schwalb, A., Wall, D., Johnson, E.J., Toubia, O., Bartels, D. (2022) The More You Ask, the Less You Get: When Additional Questions Hurt External Validity. Journal of Marketing Research. doi: 10.1177/00222437211073581

Wall, D., Crookes, R.D., Johnson, E.J., Weber, E.U. (2020) Risky Choice Frames Shift the Structure and Emotional Valence of Internal Arguments: A Query Theory Account of the Unusual Disease Problem. Judgment and Decision Making, 15(5), 685-703.

Reeck, C., Wall, D., Johnson, E. J. (2017) Information search strategies both reveal and shape intertemporal choice. Proceedings of the National Academy of Science, 114(45), 11890-11895. doi: 10.1073/pnas.1707040114

Chang, C. B., Wall, D., Tare, M., Golonka, E., Vatz, K. (2014). Relationships of attitudes toward homework and time spent on homework to course outcomes: The case of foreign language learning. Journal of Educational Psychology, 106(4), 1049-1065. doi: 10.1037/a0036497