Longitudinal Data And Higher Education Accountability

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    Longitudinal Data And Higher Education Accountability - Presentation Transcript

    1. LONGITUDINAL DATA AND HIGHER EDUCATION ACCOUNTABILITY Tom Schenk Jr., Consultant
    2. Iowa College Student Aid Commission National Student Clearinghouse Student Records Student Unemployment Awards Insurance Student Faculty Courses Positions Employee K-12 Records [Project EASIER] [Iowa Testing Services] [CTE Plus] AS-28 [Program Information]
    3. PROJECT LEAD THE WAY EVALUATION
    4. 4 11th Grade ITED: Math 20% 18% 16% 14% 12% 10% Participants Average = 79 8% 6% Nonparticipants Average = 65 4% 2% 0% 0 10 20 30 40 50 60 70 80 90
    5. 5 11th Grade ITED: Science 20% 18% 16% 14% 12% 10% 8% 6% 4% 2% 0% 0 10 20 30 40 50 60 70 80 90
    6. 6 Project Lead The Way
    7. 7 Project Lead The Way
    8. 8 Selection Bias Socio-demographic Background } Cognitive ability School-level factors
    9. 9 Propensity Score Matching Binary outcome Logit Function y = φ(x1,…,xn)
    10. 10 Propensity Bins 0% - 25% 25.1% - 50% 50.1% - 75% 75.1% - 100%
    11. 11 Subsequent Analysis Outcome Propensity Bins z = β1x1,…, βnxn, βyy
    12. 12 Enrollment by Gender Nonparticipants Female Male 16% Participants 49% 51% 84%
    13. 13 Percentage of Whites by Cohort 100.0% Participants 90.0% 80.0% 70.0% Nonparticipants 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% 2008 2009 2010 2011
    14. 14 8th Grade ITBS: Math 9% 8% 7% 6% 5% Participants Average = 80 4% 3% Nonparticipants Average = 58 2% 1% 0% 0 10 20 30 40 50 60 70 80 90
    15. 15 8th Grade ITBS: Science 9% 8% 7% 6% Participants Average = 79 5% Nonparticipants Average = 61 4% 3% 2% 1% 0% 0 10 20 30 40 50 60 70 80 90
    16. 16 Evidence of Selection Bias Participants are more likely to be male, by a wide margin. Participation by gender holds constant around 90 percent. Students are in the 80th percentile in math and science.
    17. 17 LABOR SUPPLY
    18. 18 Unemployment Insurance Wages for employees in most sectors. Provided on a quarterly basis. Includes multiple jobs. Excludes workers in some sectors (e.g., military). Does not include hourly wages or full-time status. Only includes employees within Iowa.
    19. 19 Matching Wage Data • Educational NSC • Match data • Remove wage data students MIS IWD
    20. 20 Human Capital Theory Wages Completers Leavers Direct Time Costs
    21. 21 Returns on Investment Σ T yi - xi t -C (1+r) t=1
    22. 22 Returns on Investment Track wages over a set period of time, T. Find the difference between wages between completers and leavers on the student level. Find the cost of tuition. If you assert an interest rate, r, then solve to find Net Present Value. If the interest rate if left unknown, then solve to find the Internal Rate of Return.
    23. 23 Methodology Assemble a cohort of graduates (completers) and those who left college without a degree (leavers). Stagger the cohorts so completers are finishing their final year in college as leavers are in their first year in the workforce. Exclude students who are found in any postsecondary institution. Estimate the tuition expenses for completers in their final year. Cohorts from 2002 and 2006.
    24. 24 Wages by Year Net Present Value for Completers was $3,131. Internal Rate of Return was 6 percent.
    25. 25 NPV Returns by Cluster
    26. 26 Returns by Select Clusters
    27. 28 In-state Retention Rate
    28. Out-of-state In-state School Working School Working
    29. HIGHER EDUCATION ACCOUNTABILITY
    30. 31 Success Rate 60% 50% 40% 30% 20% 10% 0% 2005 2006 Slightly over 52 percent of first-time, full-time students entering in 2006 either transferred or graduated within three years (by 2008).
    31. 32
    32. 33 Graduation Rate 50% 40% 30% 20% 10% 0% 2001 2002 2003 2004 2005 2006 The three year graduation rate for first-time, full-time students rose slightly to 39.1 percent for the 2006 cohort. The graduation rate has fluctuated, but stayed ahead of the national graduation rate (33 percent).
    33. 34 Time to Degree 2004 2003 0 1 2 Time-to-degree rose slightly to 2.4 years for the 2004 cohort from 2.3 years.
    34. 35 Accountability Systems Measuring the effectiveness of institutions through student outcomes. Desirable qualities of accountability measures: 1. Specifically measures the effectiveness of the institution, not other factors. 2. Measures improvement. 3. Flexible to accommodate a variety of outcomes. The current traditional measures cannot capture these elements.
    35. 36 Accountability Systems Issues with graduation/success rate: 1. Denominator debate. 2. Selection bias. 3. Positive feedback mechanism. Solutions: Use the same methods that assist with Project Lead The Way evaluations.
    36. 37 Estimating Success 50% 50% 50% 50%
    37. 38 Simulated Example
    38. OBTAINING DATA
    39. 40 Obtaining Data Contact your major professor and/or the Department of Education. Education data can be obtained from the Department of Education, other data (e.g., UI records) will need special permission. Data is distributed de-identified and must be returned or destroyed at the completion of the research study. Obtaining data is relatively low-cost, nominal fee (<$100) for a secure flash drive.
    40. Tom Schenk Jr. Consultant – Institutional Effectiveness & Accountability Iowa Department of Education Phone: 515-281-3753 E-mail: tom.schenk@iowa.gov
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