IDEAS home Printed from https://ideas.repec.org/a/tpr/edfpol/v8y2013i3p435-456.html
   My bibliography  Save this article

The Strategic Data Project's Strategic Performance Indicators

Author

Listed:
  • Lindsay C. Page

    (Center for Education Policy Research, Harvard University)

  • Jon Fullerton

    (Center for Education Policy Research, Harvard University)

  • Andrew Bacher-Hicks

    (Center for Education Policy Research, Harvard University)

  • Antoniya Owens

    (Center for Education Policy Research, Harvard University)

  • Sarah R. Cohodes

    (Kennedy School of Government, Harvard University)

  • Martin R. West

    (Harvard Graduate School of Education)

  • Sarah Glover

    (Harvard Graduate School of Education)

Abstract

Strategic Performance Indicators (SPIs) are summary measures derived from parallel, descriptive analyses conducted across educational agencies. The SPIs are designed to inform agency management and efforts to improve student outcomes. We developed the SPIs to reveal patterns common across partner agencies, to highlight exceptions to those patterns, and to provide tools for educational agencies to understand their own successes and challenges. We present two examples of SPI briefs and highlight specific steps partner agencies have taken in response to such analyses. Our goal is that, with data, the SPIs will catalyze educational agencies to engage in deep investigation. If educational systems must rely on academic researchers to make progress on core management challenges, progress will be slow. The ability to use and analyze administrative data must be integrated into the everyday management of educational systems, much as it has been in many other sectors of the modern economy. © 2013 Association for Education Finance and Policy

Suggested Citation

  • Lindsay C. Page & Jon Fullerton & Andrew Bacher-Hicks & Antoniya Owens & Sarah R. Cohodes & Martin R. West & Sarah Glover, 2013. "The Strategic Data Project's Strategic Performance Indicators," Education Finance and Policy, MIT Press, vol. 8(3), pages 435-456, July.
    • Handle: RePEc:tpr:edfpol:v:8:y:2013:i:3:p:435-456
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/EDFP_a_00105
    Download Restriction: Access to PDF is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cecilia Elena Rouse, 2004. "Low‐Income Students and College Attendance: An Exploration of Income Expectations," Social Science Quarterly, Southwestern Social Science Association, vol. 85(5), pages 1299-1317, December.
    2. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob, 2005. "Who teaches whom? Race and the distribution of novice teachers," Economics of Education Review, Elsevier, vol. 24(4), pages 377-392, August.
    3. Dynarski, Susan M. & Scott–Clayton, Judith E., 2006. "The Cost of Complexity in Federal Student Aid: Lessons From Optimal Tax Theory and Behavioral Economics," National Tax Journal, National Tax Association;National Tax Journal, vol. 59(2), pages 319-356, June.
    4. Li Feng, 2010. "Hire Today, Gone Tomorrow: New Teacher Classroom Assignments and Teacher Mobility," Education Finance and Policy, MIT Press, vol. 5(3), pages 278-316, July.
    5. Christopher Avery & Thomas J. Kane, 2004. "Student Perceptions of College Opportunities. The Boston COACH Program," NBER Chapters, in: College Choices: The Economics of Where to Go, When to Go, and How to Pay For It, pages 355-394, National Bureau of Economic Research, Inc.
    6. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    7. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
    8. Caroline Minter Hoxby, 2004. "Introduction to "College Choices: The Economics of Where to Go, When to Go, and How to Pay For It"," NBER Chapters, in: College Choices: The Economics of Where to Go, When to Go, and How to Pay For It, pages 1-12, National Bureau of Economic Research, Inc.
    9. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    10. Eric P. Bettinger & Bridget Terry Long & Philip Oreopoulos & Lisa Sanbonmatsu, 2012. "The Role of Application Assistance and Information in College Decisions: Results from the H&R Block Fafsa Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1205-1242.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paul, Jomon Aliyas & MacDonald, Leo, 2016. "Location and capacity allocations decisions to mitigate the impacts of unexpected disasters," European Journal of Operational Research, Elsevier, vol. 251(1), pages 252-263.
    2. Paul, Jomon Aliyas & MacDonald, Leo, 2016. "Optimal location, capacity and timing of stockpiles for improved hurricane preparedness," International Journal of Production Economics, Elsevier, vol. 174(C), pages 11-28.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li Feng & Tim R. Sass, 2017. "Teacher Quality and Teacher Mobility," Education Finance and Policy, MIT Press, vol. 12(3), pages 396-418, Summer.
    2. Castleman, Benjamin L. & Page, Lindsay C., 2015. "Summer nudging: Can personalized text messages and peer mentor outreach increase college going among low-income high school graduates?," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 144-160.
    3. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    4. Avery, Christopher & Castleman, Benjamin L. & Hurwitz, Michael & Long, Bridget Terry & Page, Lindsay C., 2021. "Digital messaging to improve college enrollment and success," Economics of Education Review, Elsevier, vol. 84(C).
    5. Lindsay C. Page & Judith Scott-Clayton, 2015. "Improving College Access in the United States: Barriers and Policy Responses," NBER Working Papers 21781, National Bureau of Economic Research, Inc.
    6. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    7. Page, Lindsay C. & Scott-Clayton, Judith, 2016. "Improving college access in the United States: Barriers and policy responses," Economics of Education Review, Elsevier, vol. 51(C), pages 4-22.
    8. Tavares, Priscilla Albuquerque, 2015. "The impact of school management practices on educational performance: Evidence from public schools in São Paulo," Economics of Education Review, Elsevier, vol. 48(C), pages 1-15.
    9. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    10. Philip Oreopoulos & Ryan Dunn, 2013. "Information and College Access: Evidence from a Randomized Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(1), pages 3-26, January.
    11. Iriti, Jennifer & Page, Lindsay C. & Bickel, William E., 2018. "Place-based scholarships: Catalysts for systems reform to improve postsecondary attainment," International Journal of Educational Development, Elsevier, vol. 58(C), pages 137-148.
    12. Taylor K. Odle & Jennifer A. Delaney, 2022. "You are Admitted! Early Evidence on Enrollment from Idaho’s Direct Admissions System," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(6), pages 899-932, September.
    13. Benjamin L. Castleman & Lindsay C. Page, 2016. "Freshman Year Financial Aid Nudges: An Experiment to Increase FAFSA Renewal and College Persistence," Journal of Human Resources, University of Wisconsin Press, vol. 51(2), pages 389-415.
    14. Narayan, Ayushi, 2020. "Does simplifying the college financial aid process matter?," Economics of Education Review, Elsevier, vol. 75(C).
    15. Bird, Kelli A. & Castleman, Benjamin L. & Denning, Jeffrey T. & Goodman, Joshua & Lamberton, Cait & Rosinger, Kelly Ochs, 2021. "Nudging at scale: Experimental evidence from FAFSA completion campaigns," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 105-128.
    16. Michael S. Kofoed, 2017. "To Apply or Not to Apply: FAFSA Completion and Financial Aid Gaps," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(1), pages 1-39, February.
    17. Fernando Furquim & Kristen M. Glasener & Meghan Oster & Brian P. McCall & Stephen L. DesJardins, 2017. "Navigating the Financial Aid Process: Borrowing Outcomes among First-Generation and Non-First-Generation Students," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 69-91, May.
    18. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    19. Kelli Bird & Benjamin L. Castleman, 2016. "Here Today, Gone Tomorrow? Investigating Rates and Patterns of Financial Aid Renewal Among College Freshmen," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(4), pages 395-422, June.
    20. Dan Goldhaber & Roddy Theobald, 2013. "Managing the Teacher Workforce in Austere Times: The Determinants and Implications of Teacher Layoffs," Education Finance and Policy, MIT Press, vol. 8(4), pages 494-527, October.

    More about this item

    Keywords

    Strategic Performance Indicators; educational agencies;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tpr:edfpol:v:8:y:2013:i:3:p:435-456. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.