Estimating the effects of student houselessness on learning outcomes and exploring for variation

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Barch - AERA Grant ICPSR deposit			05/22/2024 02:06:PM

Project Citation:

Barch III, Fabian. Estimating the effects of student houselessness on learning outcomes and exploring for variation. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-22. https://doi.org/10.3886/E200702V1

Project Description

Summary:

Houselessness affects over a million US students annually. Previous scholarship has detailed the experiences of unhoused students, as well as some steps schools can take to better support them. Still, little is known about the impacts of houselessness on learning outcomes, or the ways in which locale, different temporary housing accommodations, and race/ethnicity may complicate this relationship. Using data from the U.S. Department of Education (ED), the Stanford Education Data Archive (SEDA), and the Research Alliance for New York City Schools (RANYCS), this dissertation quantitatively explores the relationship between student houselessness and learning outcomes, and explores potential sources of variation in the magnitude of this relationship. Analyses include descriptive statistics and multi-variate linear regression models. This dissertation consists of two studies: the first is a national study, with analyses conducted at the district level, and the second is student level study in New York City (NYC). Results from Study #1 demonstrate a statistically significant relationship between rates of student houselessness and average standardized test performance at the district level. Furthermore, they demonstrate significant variation in the magnitude of this relationship across different levels of district urbanicity. Results from Study #2 in NYC confirm that houselessness is significantly associated with student’s learning outcomes at the individual level. They also demonstrate significant variation in the magnitude of this relationship across students’ temporary housing accommodations and racial/ethnic groups. Lastly, I find that student houselessness in NYC is also associated with the number of Office Disciplinary Referrals that a student receives and a student's likelihood of being chronically absent.

Funding Sources: National Science Foundation

Scope of Project

Subject Terms: AERA Dissertation Award

Geographic Coverage: United States, New York City

Time Period(s): 2013 – 2018

Data Type(s): administrative records data

Methodology

Data Source:

U.S. Department of Education Assessment Participation in Mathematics – School Years 2013-18
U.S. Department of Education Homeless Student Enrollment Data by Local Educational Agency – School Years 2013-18
Stanford Education Data Archive (Version 4.1)
Research Alliance for New York City Schools –

Student Temporary Housing File
Math & ELA (Grade 3-8) Tests File
Bio 150 / ATS Bio File
Suspensions File
Attendance File

FS185 – Assessment Participation in Mathematics – DG588 (School Years 2013-18), U.S. Department of Education, Washington, DC: EDFacts. Retrieved 2022 from http://www.ed.gov/edfacts.
Homeless Student Enrollment Data by Local Educational Agency- School Year 2013-18 EDFacts Data Documentation, U.S. Department of Education, Washington, DC: EDFacts. Retrieved 2022 from https://www2.ed.gov/about/inits/ed/edfacts/data-files/school-status-data.html.
Reardon, S. F., Ho, A. D., Shear, B. R., Fahle, E. M., Kalogrides, D., Jang, H., & Chavez, B. (2021).Stanford Education Data Archive (Version 4.1). Retrieved from http://purl.stanford.edu/xv742vh9296.
Research Alliance for New York City Schools (2023). Student Temporary Housing File, Math & ELA (Grade 3-8) Tests File, Bio 150 / ATS Bio File, Suspensions File, and Attendance File. Unpublished data.

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Published Versions

V1 [2024-05-22]

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