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The Effects of Student Growth Data on School District Choice

Evidence from a Survey Experiment

Bibliographic Data

ID11366198
AuthorsDavid M Houston (0000-0002-1927-252X, George Mason University, corresponding author), Jeffrey R Henig (Columbia University)
Year2021
Volume127
Issue4
Pages563-595
Publication date2021-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Education (JOURNAL)
Journal identifiersISSN: 0195-6744 • E-ISSN: 1549-6511
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/715003
OpenAlexW3176080676
LanguageEN
Citations received7
References cited34

School districts’ racial/ethnic and economic compositions are strongly related to average student achievement. Relationships between districts’ demographic compositions and average student growth are much weaker, and many believe growth measures are a more accurate indicator of student learning. We seek to understand if the dissemination of growth data influences individuals’ district preferences in ways that run counter to the conventional wisdom that the “best” districts are the Whitest and most affluent districts. We conduct an online survey experiment in which participants choose between the five largest districts in a metropolitan area. All participants receive demographic data for each district, but some are randomly assigned to receive achievement and/or growth data as well. Providing growth data leads participants to choose less White and less affluent districts. Moreover, providing both achievement and growth data causes participants to choose less White and less affluent districts than the provision of achievement data alone

Academic achievement · Ethnic group · Geography · Mathematics education · Metropolitan area · Political science · School district · Sociology · Statistics · Student achievement · Survey data collection · Demography · Higher Education Research Studies · Innovations in Educational Methods · Psychology · School Choice and Performance

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Unique citing works7
Citations per year1,75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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