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Grant Closed

Improving Information and Access to Financial Aid: Expanding the FAFSA Experiment

NCER
Program: Education Research Grants
Program topic(s): Postsecondary and Adult Education
Award amount: $4,899,247
Principal investigator: Eric Bettinger
Awardee:
National Bureau of Economic Research (NBER)
Year: 2012
Award period: 5 years (03/01/2012 - 02/28/2017)
Project type:
Scale-Up Evaluations
Award number: R305A120280

Purpose

The purpose of the proposed research is to test the effects of simplifying the financial aid application process and providing assistance at scale. Findings from previous efficacy studies found that these two supports led to a 20 percent increase in college attendance in our target areas in Ohio and North Carolina. The team will recruit participants in this scale-up evaluation from the 3.5 million individuals who use free tax-filing services, and will randomly assign families to different types of assistance with the financial aid process. The researchers will evaluate the effects of the simplification of the financial aid application process and assistance on college outcomes.

Project Activities

Researchers will use an experimental design to investigate the impact of the simplification of the application process on the likelihood of college attendance, access to financial aid, college choice, and college persistence. Participants will be assigned to the control condition or one of three levels of assistance. The project team will gather long-term outcome data for students who participate in both the experimental and control conditions of the study.

Structured Abstract

Setting

The intervention will take place at about 9,000 free tax-file sites across the United States (i.e., Volunteer Income Tax Assistance sites) run by the Internal Revenue Service. The researchers will collaborate with a group that provides tax software at each of these sites.

Sample

The proposed research will focus on families with college-age children and incomes below $45,000 per year. These individuals would likely qualify for financial aid if they attended college.

Intervention

The intervention involves several levels of assistance to families completing the Free Application for Federal Student Aid (FAFSA). As individuals complete their taxes, the researchers will use their tax data to pre-populate the FAFSA form. The researchers will then offer different levels of assistance to different individuals. The levels of assistance vary from assistance with filing the FAFSA form to interpretation of the likely aid eligibility.

Research design and methods

The research has an experimental design. In the initial year of the study, families who agree to participate in the research will be randomly assigned either to the control group or one of the three treatment groups. There are three treatment groups and each group will receive a different intervention. One group receives aid information only (i.e., receive a pamphlet which includes information on college costs and benefits). Among those receiving FAFSA help, some receive personalized assistance while others do not. The research team will gather data from administrative data sets (e.g., the National Student Clearinghouse) to determine if participation in the treatment groups resulted in improved long-term student outcomes relevant to access and persistence in college.

Control condition

The control group will receive basic information about the FAFSA and the college application process.

Key measures

The researchers use administrative data that describes individual's college attendance, access to financial aid, college choice, and college persistence. The data will be drawn from datasets maintained by the National Student Clearinghouse and the Department of Education. These outcomes, which include completing the Financial aid application, financial aid receipt, college attendance, and college persistence, will be investigated for the entire sample as the well as for subgroups (by income, race, gender). The use of administrative data allows the researchers to inexpensively track all of the study participants over time.

Data analytic strategy

Given the randomization involved, simple comparisons of the control and treatment groups will identify the treatment effects. Researchers will estimate both the effects of offering the service (intent-to-treat effects), and the effects of using the service among individuals for which a FAFSA is filed (treatment-on-the-treated effects). The former will also use fixed effects multivariate regression analysis with covariates to estimate the former, and regressions with instruments to identify the "treatment-on-the-treated" effect.

People and institutions involved

IES program contact(s)

James Benson

Project contributors

Bridget Terry Long

Co-principal investigator

Philip Oreopoulos

Co-principal investigator

Products and publications

Products: The products of this project will be evidence of the effectiveness of the simplified financial aid application process when implemented at scale, and peer reviewed publications.

Related projects

National Center for Postsecondary Research

R305A060010

Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

Tags

Education TechnologyEducational EquityPolicies and StandardsPostsecondary Education

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Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

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