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How Finances Affect the Educational Ambitions of Two-year College Students Katharine Broton & Sara Goldrick-Rab Departments of Sociology & Educational Policy Studies July 8, 2011

How Finances Affect the Educational Ambitions of Two-year College Students Katharine Broton & Sara Goldrick-Rab Departments of Sociology & Educational

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How Finances Affect the Educational Ambitions of Two-year College Students

Katharine Broton & Sara Goldrick-RabDepartments of Sociology & Educational Policy Studies

July 8, 2011

Higher Education Today

• High school students have high educational expectations

• 80% of high school sophomores expect to earn a B.A. or higher and 12% expect an associate’s degree or certificate

• Two-thirds of high school graduates enroll in higher education

• Stratified higher education system • Income gap

• College completion rates are stagnant

• 20% students at public 2-year colleges earn a degree in 3 yrs.• Varies by institutional and student factors

What We Know Thus Far

• Educational aspirations are a significant predictor of attainment

• Institutional factors influence students’ educational ambitions• Two-year college counselors systematically lower or “cool out”

students’ educational plans; this could be bad or good. • Faculty at two-year colleges “warm up” or increase students’

educational goals• Implies that two-year colleges cause students’ to change goals

• But individual factors also influence students’ educational plans• Low-income and less academically prepared students are more

likely to lower their educational expectations over time

• Financial aid increases completion, but mechanisms are unclear.

Research Questions

• How do students describe the relationship between finances and educational ambitions, if at all?

• What are students’ educational ambitions during their early college years and how do they change over time?

• Is there a causal relationship between students’ finances and their educational ambitions?

Wisconsin Scholars Longitudinal Study

Panel study of low-income students who are first-time full-time enrollees in a Wisconsin public college in fall 2008.

1,100 students enrolled at a two-year college in fall 2008*

• 477 students were randomly selected to receive the Wisconsin Scholars Grant valued at $1,800 per year (up to five years).

• 623 low-income students serve as the control group.

Data include: • Two surveys (fall 2008 and fall 2009)• Repeated in-depth interviews (fall 2008–spring 2010)

* One college dropped because the program was not administered as intended due to unexpected challenges.

Research Design

Qualitative

Quantitative

Qualitative

Quantitative

Expands the breadth and depth of inquiry

Qualitative analytical approach

Phase 1: Examined the interviews of 15 two or four-year college students who lowered their educational ambitions according to survey data

• Coded for educational and occupational plans, finances, and enrollment decisions

Phase 2: Examined the interviews of 12 students who attended a Wisconsin Technical College System two-year institution in 2008, regardless of educational ambitions (no interviews available with UW-College students).

• Inductive coding

• Triangulation

Quantitative analytical approach

Highest Aspiration:

• Thinking about the rest of your life, how much college education would you like to get? • AA, BA, MA, or Other prof. or graduate degree

Likelihood Questions:

How likely are each of the following scenarios?*

• You will transfer to a four-year college?

• You will get a bachelor's degree? • Rate from 1="not at all likely” to 5="extremely likely”

*Excludes students not enrolled in college in fall 2009.

Validity

• Internal validity• Treatment and control groups statistically equivalent at baseline • Differential attrition rates are very low (0-2 percent)• Covariates included in the regression models

• External validity • Analytic samples differ slightly from full sample

• More women (~1.5 times more likely than men to respond to the survey in 2008 & 2009)

Initial Qualitative Findings

Financial constraints influence enrollment decisions and act an obstacle in reaching educational goals

Sheva: “[Two-year college] was just a wiser choice for me because I really wasn't sure I'd be able to afford - I know I wouldn't be able to afford a four-year university by myself.”

Pao: “[If] I don't get the financial aid money then I probably won't go to school or I'll probably have to work and go part-time so I can pay it off - because I really rely on financial aid money just to go to school.”

Bethany: “It’s just financial issues now because I know I can do the [school] work – that’s no biggie – it’s just paying for everything…it’s about $7,000 worth of obstacle.”

Students talked about changing their educational ambitions less often.

Two-year students’ aspirations, fall 2008

Control Group Wisconsin Scholars Grant0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

21% 20%

40% 39%

27% 26%

12%15%

AABAMAPhD or Prof.

Note: Survey weights were used in all analyses (constant composition N=445)

Two-year students’ aspirations, fall 2009 among those who initially aspired to an AA

Control Group Wisconsin Scholars Grant0%

10%

20%

30%

40%

50%

60%

70%66%

51%

30%

44%

1% 0%4% 5%

AABAMAPhD or Prof.

Note: Logistic regression AA vs. BA+ marginally significant (p=.10)Survey weights were used in all analyses (constant composition N=88)

Two-year students’ aspirations, fall 2009 among those who initially aspired to a BA+

Control Group Wisconsin Scholars Grant0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

12%14%

45%48%

32%

25%

12% 13%

AABAMAPhD or Prof.

Note: Multinomial logistic regression BA vs. MA significant (p<.05)Survey weights were used in all analyses (constant composition N=357)

Key Quantitative Findings• Among those who initially aspired to an Associate’s degree,

grant recipients were more likely to “warm up” or aspire to a Bachelor’s degree in 2009 than non-recipients (p=.10; N=88).

• Grant recipients were 50% more likely than non-recipients to aspire to a Bachelor’s degree rather than a Master’s degree in 2009, among those who initially aspired to a BA or higher.

• No statistically significant findings regarding the likelihood of transfer to a four-year college or Bachelor’s degree attainment.

Kalia’s trajectory

Kalia’s trajectory

Time 1

Fall 2008

2 yr. public

college

Nurse

AA

Kalia’s trajectory

Time 0

4 yr. public college

Biology

BA?

Time 1Fall 2008

2 yr. public

college

Nurse

AA

Kalia’s trajectory

Time 0

4 yr. public college

Biology

BA?

Time 1Fall 2008

2 yr. public

college

Nurse

AA

Time 2Spring 2009

Not enrolled

Nurse

AA

Kalia’s trajectory

Time 0

4 yr. public college

Biology

BA?

Time 1Fall 2008

2 yr. public

college

Nurse

AA

Time 2Spring 2009

Not enrolled

Nurse

AA

Time 3Fall 2009

2/4 yr. private college

Nurse

BA?

Kalia plans to take out two loans to pay for her AA. She says she would prefer to stay in school and earn her BA, but isn’t sure how she is going to pay for it.

Kalia’s trajectory

Time 0

4 yr. public college

Biology

BA?

Time 1Fall 2008

2 yr. public

college

Nurse

AA

Time 2Spring 2009

Not enrolled

Nurse

AA

Time 3Fall 2009

2/4 yr. private college

Nurse

BA?

Time 4Spring 2010

2/4 yr. private college

Nurse

AA & BA if funded

Kalia learns the V.A. will pay for most of her AA so she doesn’t need to take the loans. She says she’ll probably earn a BA if she gets tuition reimbursement, but plans to enter the workforce after earning her AA.

Key Qualitative Findings

• Changing educational plans

• More dynamic than previous research suggests

• Aspirations survey measure is a snapshot in time

• Survey and interview data don’t always line up (r=.33; N=11)

• Various levels of alignment between students’ educational and career plans

• Career goals Educational goals

• Academic success or failure influences educational ambitions

Working Hypotheses

• Additional grant dollars change students’ beliefs regarding who should pay for college and how much debt is acceptable.

• Grant recipients learn more about their occupational goals and the level of education necessary for that career (through increased contact with counselors or professors) and adjust their educational ambitions accordingly.

• Grant recipients who attempt more credits have additional stress or burnout - thus they decide they do not want to or cannot go as far in school as they had previously hoped.

• Grant recipients are aligning their ambitions with the 5 year eligibility of the Wisconsin Scholars Grant.

Conclusions

• There is a causal relationship between students’ finances and their educational aspirations indicating that ambitions are influenced by individual-level factors.

• Grant recipients are more likely than non-recipients to aspire to a Bachelor’s degree in their second year of college.

• Indicates that additional financial resources promotes “warming up” among those who initially aspired to an AA.

• Suggests a leveling down to possibly more realistic aspirations among those who initially had graduate degree aspirations.

• “Cooling out” may be a reflection of the disproportionate share of low-income students at two-year colleges.

• Educational ambitions are more malleable and nuanced than previous research indicates.

Thank you

Special thanks to the Wisconsin Scholars Longitudinal Study staff, partners, and funders for collecting the data and making it available and to the students for participating.

Thank you to the Mixed Methods seminar participants and Social Science Computing Cooperative at UW-Madison for feedback and advice on earlier drafts.

The research reported here was supported in part by the Institute of Education Sciences, U.S. Department of Education, through Award #R305B090009 to UW-Madison.

Two-year students’ aspirations in 2009 by initial aspiration in 2008

Survey weights were used in all analyses (constant composition N=445)

010

%20

%30

%40

%50

%

Control Group Wisconsin Scholars Grant

AA BA MA PhD or Prof AA BA MA PhD or Prof

AA BAMA PhD or Prof

23%

42%

25%

10%

21%

48%

20%

11%

Sara Goldrick-Rab
The star suggests this is the ONLY stat sig change in the distributions. That is correct? I realize your point that the BA change is driven from movement in two directions, but if you simply compared the distributions in f08 and f09 , the change in %BA wouldn't be significant? Seems weird...Or maybe the significance you are noting is between T and C?Seems there are two relevant comparisons: treatment differences within years, and treatment differences in change over time.

Two-year students’ aspirations, fall 2008 by sector of enrollment

WTCS UW-College0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

29%

1%

37%

45%

22%

36%

12%

18%

AABAMAPhD or Prof.

Note: Survey weights were used in all analyses (constant composition N=445)

Sara Goldrick-Rab
While you are not breaking out WTCS separately here (at my suggestion), you will undoubtedly get a question about whether these distribtuions differ at the two types of colleges. I suggest you first note the small N at UWC, but then have ready an answer as to how they differ, if at all. People are going to hypothesize that all of the AA folks are at WTCS and all of the BA at UWC--and all the of grad ambitions at UWC too.

1. Selected pre-treatment characteristics of two-year college students by sample (fall 2008)

Characteristic

Full Sample Fall 2008 Survey Fall 2009 Survey Fall 2008 & 2009 Surveys

Control WSG Total N Control WSG Total N Control WSG Total N Control WSG Total N

Assigned to treatment (WSG) (%) 0.0 100.0 55.4 1100 0.0 100.0 55.5 743 0.0 100.0 56.6 501 0.0 100.0 55.8 476

Female 53.9 53.0 53.4 1079 57.0 57.1 57.0*** 730 59.8 57.5 58.5** 493 58.9 57.6 58.1** 468

Targeted minority n/a 19.3 19.8 19.6 743 19.8 19.3 19.5 501 20.5 20.6 20.5 476

Sector (%) 1100 743 501 476

UW-Colleges 27.1 26.0 26.5 28.9 24.6 26.5 35.0 27.2 30.6 35.2 28.0 31.2

Wisconsin Technical College System 72.9 74.0 73.5 71.1 75.4 73.5 65.0 72.8 69.4 64.8 72.0 68.8

Father holds a college degree (AA or higher) (%) 20.4 22.3 21.5 876 20.4 21.8 21.1 596 20.7 21.7 21.3 404 20.4 21.5 21.0 383

Mother holds a college degree (AA or higher) (%) 31.0 31.3 31.2 940 28.2 33.7 31.2 636 27.3 31.9 29.8 423 26.6 32.0 29.5 401

Financially dependent on parents (%) 87.0 88.1 87.6 1080 86.4 88.7 87.7 732 89.5 91.2 90.4 495 89.1 92.5 91.0 470

Average expected family contribution ($) 1,088 1,212 1,157 1078 1,075 1,256 1,176 730 1,063 1,115 1,092 494 1,042 1,134 1,094 469

Zero expected family contribution (%) 43.7 43.3 43.5 1078 43.3 40.3 41.7 730 43.5 42.2 42.8 494 44.2 41.2 42.5 469

Parent(s)' adjusted gross income (dependents only) ($) 26,490 26,872 26,703 947 27,151 27,728 27,476 640 27,290 26,160 26,644 445 27,214 26,479 26,796 424

Parent(s)' investment income (dependents only) ($) 5,461 3,761 4,510 947 6,024** 3,392 4,543 640 6,817* 2,787 4,514 445 6,620* 2,827 4,463 424

Student(s)' adjusted gross income (independents only) ($) 9,949 10,419 10,199 133 9,651 10,423 10,046 92 9,046 8,072 8,535 50 9,046 8,562 8,819 46

Student(s)' investment income (independents only) ($) 10 20 15 133 13 28 21 92 0 0 0* 50 0 0 0* 46

ACT composite score (mean) 19.6 19.5 19.5 323 19.7 19.5 19.6 319 19.7 19.3 19.5 231 19.8 19.3 19.5 227

Highest educational degree expectation in high school (mean) 3.5 3.4 3.4 287 3.5 3.4 3.4 283 3.5 3.4 3.4 205 3.5 3.4 3.4 201

* p<.05, **p<.01, ***p<.001

Evidence standards WSLS two-year college students survey measurement attrition

Note: N=1100; one school dropped due to implementation issuesWWC Procedures and Standards Handbook Version 2.0 – December 2008 http://ies.ed.gov/ncee/wwc/references/idocviewer/Doc.aspx?docId=19&tocId=4

Fall 2008Fall 2009

Constant Composition

Fall 2008: 31.1% overall 0.2% T-CFall 2009: 53.1% overall 2.1% T-CFall 2008 & 2009: 55.4% overall 0.7% T-C