IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/27903.html
   My bibliography  Save this paper

Assessing difference: examining Florida’s initial teacher preparation programs and exploring alternative specifications of value-added models

Author

Listed:
  • Mason, Patrick L.

Abstract

This study explores important statistical issues on the appropriate functional form and model specification of the value-added educational achievement equation. We also wish to estimate the causal effect of a teacher’s institution of academic preparation and pedagogical training. Standardized test scores, viz., the Florida Comprehensive Assessment Tests (FCAT), provide a measure of pupil academic achievement. Accordingly, this study uses a value-added regression model to establish whether there is a “college preparation effect” on the average pupil’s FCAT reading and mathematics scores. We find that value-added regression analysis fails to uncover robust and substantive college preparation effects. Regardless of race (African American, Hispanic, or white), male or female status, or FCAT mathematics versus FCAT reading, pupil academic achievement does not vary substantively according to a teacher’s college of preparation. Further, the statistical significance of teacher program effects also depends on the functional form and specification of the value-added model.

Suggested Citation

  • Mason, Patrick L., 2010. "Assessing difference: examining Florida’s initial teacher preparation programs and exploring alternative specifications of value-added models," MPRA Paper 27903, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:27903
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/27903/1/MPRA_paper_27903.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Harris, Douglas N. & Sass, Tim R., 2011. "Teacher training, teacher quality and student achievement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 798-812, August.
    2. 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.
    3. Sass, Tim R. & Semykina, Anastasia & Harris, Douglas N., 2014. "Value-added models and the measurement of teacher productivity," Economics of Education Review, Elsevier, vol. 38(C), pages 9-23.
    4. Kane, Thomas J. & Rockoff, Jonah E. & Staiger, Douglas O., 2008. "What does certification tell us about teacher effectiveness? Evidence from New York City," Economics of Education Review, Elsevier, vol. 27(6), pages 615-631, December.
    5. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    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. Mason, Patrick L., 2010. "Examining FAMU’s supply of teachers: a value-added analysis of college of preparation on pupil academic achievement," MPRA Paper 27904, University Library of Munich, Germany.

    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. Feng, Li & Sass, Tim R., 2013. "What makes special-education teachers special? Teacher training and achievement of students with disabilities," Economics of Education Review, Elsevier, vol. 36(C), pages 122-134.
    2. Harris, Douglas N. & Sass, Tim R., 2014. "Skills, productivity and the evaluation of teacher performance," Economics of Education Review, Elsevier, vol. 40(C), pages 183-204.
    3. Mason, Patrick L., 2010. "Examining FAMU’s supply of teachers: a value-added analysis of college of preparation on pupil academic achievement," MPRA Paper 27904, University Library of Munich, Germany.
    4. Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012. "Test Measurement Error and Inference from Value-Added Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-37, November.
    5. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    6. Papay, John P. & Kraft, Matthew A., 2015. "Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement," Journal of Public Economics, Elsevier, vol. 130(C), pages 105-119.
    7. Helen F. Ladd & Lucy C. Sorensen, 2017. "Returns to Teacher Experience: Student Achievement and Motivation in Middle School," Education Finance and Policy, MIT Press, vol. 12(2), pages 241-279, Spring.
    8. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    9. Seth Gershenson & Alison Jacknowitz & Andrew Brannegan, 2017. "Are Student Absences Worth the Worry in U.S. Primary Schools?," Education Finance and Policy, MIT Press, vol. 12(2), pages 137-165, Spring.
    10. Sass, Tim R. & Hannaway, Jane & Xu, Zeyu & Figlio, David N. & Feng, Li, 2012. "Value added of teachers in high-poverty schools and lower poverty schools," Journal of Urban Economics, Elsevier, vol. 72(2), pages 104-122.
    11. Marine de Talancé, 2015. "Better Teachers, Better Results? Evidence from Rural Pakistan," Working Papers DT/2015/21, DIAL (Développement, Institutions et Mondialisation).
    12. Wiswall, Matthew, 2013. "The dynamics of teacher quality," Journal of Public Economics, Elsevier, vol. 100(C), pages 61-78.
    13. Li Feng & Tim R. Sass, 2017. "Teacher Quality and Teacher Mobility," Education Finance and Policy, MIT Press, vol. 12(3), pages 396-418, Summer.
    14. Sander Gerritsen & Erik Plug & Dinand Webbink, 2014. "Teacher quality and student achievement: Evidence from a Dutch sample of twins," CPB Discussion Paper 294, CPB Netherlands Bureau for Economic Policy Analysis.
    15. Mason, Patrick L., 2010. "“Does teacher preparation matter? pupil academic achievement and teacher’s college preparation”," MPRA Paper 20060, University Library of Munich, Germany.
    16. Sander Gerritsen & Erik Plug & Dinand Webbink, 2014. "Teacher quality and student achievement: Evidence from a Dutch sample of twins," CPB Discussion Paper 294.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Murphy, Richard & Weinhardt, Felix & Wyness, Gill, 2021. "Who teaches the teachers? A RCT of peer-to-peer observation and feedback in 181 schools," Economics of Education Review, Elsevier, vol. 82(C).
    18. Matthew A. Kraft & John P. Papay & Olivia L. Chi, 2020. "Teacher Skill Development: Evidence from Performance Ratings by Principals," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 315-347, March.
    19. Allison Atteberry & Susanna Loeb & James Wyckoff, 2013. "Do First Impressions Matter? Improvement in Early Career Teacher Effectiveness," NBER Working Papers 19096, National Bureau of Economic Research, Inc.
    20. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.

    More about this item

    Keywords

    teacher quality; value-added model; historically black colleges and universities; HBCU; teacher productivity; education and value-added;
    All these keywords.

    JEL classification:

    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • I2 - Health, Education, and Welfare - - Education
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:27903. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.