Data and Code for: Does Virtual Advising Increase College Enrollment? Evidence from a Random Assignment College Access Field Experiment
Principal Investigator(s): View help for Principal Investigator(s) Meredith Phillips, UCLA; Sarah Reber, UCLA
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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PhillipsReberAEJPolicyArchive | 07/06/2021 08:13:AM | ||
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application/pdf | 152.2 KB | 07/06/2021 04:12:AM |
Project Citation:
Phillips, Meredith, and Reber, Sarah. Data and Code for: Does Virtual Advising Increase College Enrollment? Evidence from a Random Assignment College Access Field Experiment. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-07-26. https://doi.org/10.3886/E139421V1
Project Description
Summary:
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Although
in-person college access programs can be effective, less is known about whether
low-cost and scalable virtual interventions can achieve the same benefits. We evaluate
two variants of a virtual college counseling program. Students randomly
assigned to the program felt more supported applying to college and applied
more broadly to four-year colleges, but were not more likely to be accepted or
enroll. We analyze rich and extensive survey data to explore mechanisms and why
the program did not improve college enrollment. We conclude that low-intensity
programs may work for some students, but many probably need in-person and
intensive help.
Funding Sources:
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Institute of Education Sciences (R305A110809);
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041022)
Scope of Project
Subject Terms:
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college access;
RCT;
college counseling
JEL Classification:
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I21 Analysis of Education
I23 Higher Education; Research Institutions
I21 Analysis of Education
I23 Higher Education; Research Institutions
Geographic Coverage:
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United States,
California
Time Period(s):
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8/2011 – 7/2017
Collection Date(s):
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2/2012 – 7/2017
Universe:
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High school juniors in southern California.
Data Type(s):
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aggregate data
Collection Notes:
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The consent documents and approved IRB protocols
require us to keep the student-level data in a secure data enclave and restrict
their use to the study team, so we cannot share these data publicly.
This archive primarily contains statistical programs used in the analysis.
This archive primarily contains statistical programs used in the analysis.
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