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The Texas Behavioral Science and Policy Institute

The Texas Behavioral Science and Policy Institute

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Archives for July 2023

May 2023 Science issue features Institute research on social-belonging in college

A promising way to mitigate inequality is by addressing students’ worries about belonging. But where and with whom is this social-belonging intervention effective? Here we report a team-science randomized controlled experiment with 26,911 students at 22 diverse institutions. Results showed that the social-belonging intervention, administered online before college (in under 30 minutes), increased the rate at which students completed the first year as full-time students, especially among students in groups that had historically progressed at lower rates. The college context also mattered: The intervention was effective only when students’ groups were afforded opportunities to belong. This study develops methods for understanding how student identities and contexts interact with interventions. It also shows that a low-cost, scalable intervention generalizes its effects to 749 4-year institutions in the United States.

Article in Science

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Commentary on the research by Nicholas A. Bowman, Mary Louise Petersen Chair in Higher Education, a professor in the Department of Educational Policy and Leadership Studies, and the director of the Center for Research on Undergraduate Education at University of Iowa.

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About Us

The Texas Behavioral Science and Policy Institute (TxBSPI) is a central organizing structure at UT Austin for social and behavioral science research focused on solutions to inequality in the pathways to adulthood.

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About Us

The Texas Behavioral Science and Policy Institute (TxBSPI) is a central organizing structure at UT Austin for social and behavioral science research focused on solutions to inequality in the pathways to adulthood.

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Address: University of Texas at Austin
305 E. 23rd Street / RLP 2.602
Mail Stop G1800
Austin, Texas 78712-1699
Email: txbspi [at] prc [dot] utexas [dot] edu

Thank you to our generous funders!

This material is based upon work supported by the National Science Foundation (NSF) NOYCE under grant number 2243530; National Science Foundation (NSF) EHR Core under grant number 2201928; NSF  Research Coordination Networks under grant number 2322330; Gates (TxMI Part 2) under grant number INV-047751; Aga Khan Foundation under grant JACOB002. See more about our funding on this page.

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