Johnson, Rebecca A., Tyler Simko, and Kosuke Imai. (2024). ``A Summer Bridge Program for First-Generation Low-Income Students Stretches Academic Ambitions with No Adverse Impacts on GPA.'' Proceedings of the National Academy of Sciences, Vol. 121, No. 50, e2404924121.
A large body of research documents the barriers faced by first-generation, low-income (FGLI) students as “hidden minorities” onelite college campuses. Although existing studies show brief psy-chological interventions can help mitigate some of these obstacles,universities are investing in more intensive interventions that try toboth shift mindsets and mitigate structural disadvantages in FGLI stu-dents’ academic preparation. In collaboration with the administratorsat a highly selective university, we conducted the first randomizedcontrolled trial of a summer bridge program targeted at FGLI students.During summers between 2017 and 2019, we randomly selected 232out of 418 first-generation or low-income students and invited themto attend an intensive, six-week long residential summer programfeaturing courses for academic credit. Students randomized to thecontrol group either interacted with online content offering no aca-demic credit or had no summer intervention. Our pre-registeredanalysis shows that the program encouraged FGLI students to pursuea more ambitious first-year program, increasing the proportion ofnon-introductory courses by 7 percentage points. The program alsoincreased the proportion of courses taken for a grade rather than aspass-fail by 6 percentage points. These improvements were accom-panied by no discernible impact on first-year GPAs and academicwithdrawal. The findings show the ability to academically integrateFGLI students into selective university communities. |
Blackwell, Matthew, Jacob R. Brown, Sophie Hill, Kosuke Imai, and Teppei Yamamoto
(2025).
``Priming bias versus post-treatment bias in experimental designs.''
Political Analysis, Vol. 33, No. 4 (October), pp. 361-377. Winner of Political Analysis Editors' Choice Award.
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Goplerud, Max, Kosuke Imai, Nicole E. Pashley
(2025).
``Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis.''
Annals of Applied Statistics, Vol. 19, No. 2 (June), pp. 866-888.
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Ham, Dae Woong, Kosuke Imai, and Lucas Janson
(2024).
``Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis.''
Political Analysis, Vol. 32, No. 3 (July), pp. 329-344.
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de la Cuesta, Brandon, Naoki Egami, and Kosuke Imai
(2022).
``Improving the External Validity of Conjoint Analysis: The Essential Role of Profile Distribution.''
Political Analysis, Vol. 30, No. 1 (January), pp. 19-45.
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Egami, Naoki, and Kosuke Imai
(2019).
``Causal Interaction in Factorial Experiments: Application to Conjoint Analysis.''
Journal of the American Statistical Association, Vol. 114, No. 526 (June), pp. 529-540.
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Imai, Kosuke, and Zhichao Jiang
(2018).
``A Sensitivity Analysis for Missing Outcomes Due to Truncation-by-Death under the Matched-Pairs Design.''
Statistics in Medicine, Vol. 37, No. 20 (September), pp. 2907-2922.
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Imai, Kosuke, Dustin Tingley, and Teppei Yamamoto
(2013).
``Experimental Designs for Identifying Causal Mechanisms.''
(with discussions) Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 176, No. 1 (January), pp. 5-51. Read before the Royal Statistical Society in March, 2012.
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Imai, Kosuke, and Teppei Yamamoto
(2010).
``Causal Inference with Differential Measurement Error: Nonparametric Identification and Sensitivity Analysis.''
American Journal of Political Science, Vol. 54, No. 2 (April), pp. 543-560.
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Imai, Kosuke
(2009).
``Statistical Analysis of Randomized Experiments with Nonignorable Missing Binary Outcomes: An Application to a Voting Experiment.''
Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 58, No. 1 (February), pp. 83-104.
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Ho, Daniel E., and Kosuke Imai
(2008).
``Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: California Alphabet Lottery, 1978-2002.''
Public Opinion Quarterly, Vol. 72, No. 2 (Summer), pp. 216-240.
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Imai, Kosuke
(2008).
``Sharp Bounds on the Causal Effects in Randomized Experiments with ``Truncation-by-Death.''
Statistics & Probability Letters, Vol. 78, No. 2 (February), pp. 144-149.
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Horiuchi, Yusaku, Kosuke Imai, and Naoko Taniguchi
(2007).
``Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment.''
American Journal of Political Science, Vol. 51, No. 3 (July), pp. 669-687.
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Ho, Daniel E., and Kosuke Imai
(2006).
``Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election.''
Journal of the American Statistical Association, Vol. 101, No. 475 (September), pp. 888-900.
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