Publications

2019
Rushkin, I., Chuang, I., & Tingley, D. (2019). Modelling and using response times in online courses. Journal of Learning Analytics , 6 (3), 76-89. timestat.pdf
Markovitz, D., Strange, A., & Tingley, D. (2019). Foreign Aid and the Status Quo: Evidence from Pre-Marshall Plan Aid. Chinese Journal of International Relations , 12 (4), 557-584. foreignaidhistory.pdf
Mildenberger, M., & Tingley, D. (2019). Beliefs about Beliefs: The Importance of Second-Order Opinions for Climate Politics. British Journal of Political Science , 49 (4), 1279-1307. mildenbergertingley_bjps.pdf
Kim, I. S., Milner, H., Bernauer, T., Spilker, G., Osgood, I., & Tingley, D. (2019). Firms’ Preferences over Multidimensional Trade Policies: Global Production Chains, Investment Protection and Dispute Settlement Mechanisms. International Studies Quarterly , 63` (1), 153-167. Publisher's Version
Horowitz, M., Stewart, B., Tingley, D., Bishop, M., Resnick, L., Roberts, M., Chang, W., et al. (2019). What Makes Foreign Policy Teams Tick: Explaining Variation in Group Performance At Geopolitical Forecasting. Journal of Politics , 81 (4), 1388-1404. teamwork.pdf
Roberts, M., Stewart, B., & Tingley, D. (2019). stm: R Package for Structural Topic Models. Journal of Statistical Software , 91 (2), 1-40. Publisher's Version jss-stm.pdf
2018
Yeomans, M., Kantor, A., & Tingley, D. (2018). politeness: Detecting Politeness Features in Text”. R Journal , 10 (2), 489-502.
Rosen, Y., Rushkin, I., Rubin, R., Munson, L., Ang, A., Weber, G., Lopez, G., et al. (2018). The Effects of Adaptive Learning in a Massive Open Online Course on Learners’ Skill Development. Learning at Scale. Publisher's Version adaptivelas2018.pdf
Obradovich, N., Tingley, D., & Rahwan, I. (2018). Effects of environmental stressors on daily governance. Proceedings of the National Academy of Sciences , 115 (35), 8710-8715. Publisher's Version
Yeomans, M., Kindel, A., Mavon, K., Reich, J., Stewart, B., & Tingley, D. (2018). Engagement Across Political Differences in Massive Open Online Courses. International Journal of Artificial Intelligence in Education , https://doi.org/10.1007/s40593-017-0161-0. Publisher's Version engagementacrossdifference.pdf
Williams, J., Rafferty, A., Tingley, D., Ang, A., Lasecki, W., & Kim, J. (2018). Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. Computer Human Interaction . 36th Annual ACM Conference on Human Factors in Computing Systems. Publisher's Version
Olivola, C., Tingley, D., & Todorov, A. (2018). Republican Voters Prefer Candidates Who Have Conservative-Looking Faces: New Evidence from Exit Polls. Political Psychology , 35 (9), 1157-1171.
Spilker, G., Bernauer, T., Kim, I. S., Milner, H., Osgood, I., & Tingley, D. (2018). Trade at the Margin: Estimating the Economic Implications of Preferential Trade Agreements. Review of International Organizations , 13 (2), 189-242. tradeatmargin.pdf
Kertzer, J., & Tingley, D. (2018). Political Psychology in International Relations: Beyond the Paradigms. Annual Review of Political Science , 319–339. psyir.pdf
2017
Whitehill, J., Mohan, J., Seaton, D., Tingley, D., & Rosen, Y. (2017). MOOC Dropout Prediction: How to Measure Accuracy? Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale. whitehill-mooc.pdf
Ang, A., Rosen, Y., Fredericks, C., Rushkin, I., Lopez, G., Tingley, D., & Blink, M. J. (2017). Designing Adaptive Assessments in MOOCs . Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Williams, J., Rafferty, A., Lasecki, W., Ang, A., Tingley, D., & Kim, J. (2017). Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation . ACM CHI Conference on Human Factors in Computing Systems.
Williams, J., Rafferty, A., Maldonado, S., Ang, A., Tingley, D., & Kim, J. (2017). ``Tools for Dynamic Experimentation and Personalization. Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Lopez, G., Seaton, G., Ang, A., Chuang, I., & Tingley, D. (2017). `Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data' . Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Rushkin, I., Rosen, Y., Ang, A., Fredericks, C., Tingley, D., Blink, M. J., & Lopez, G. (2017). Adaptive Assessment Experiment in a HarvardX MOOC. Educational Data Mining . International Conference on Educational Data Mining.

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