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Methods for Evaluating Educational Programs – Does Writing Center Participation Affect Student Achievement?

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  • Bredtmann, Julia
  • Crede, Carsten J.
  • Otten, Sebastian

Abstract

This paper evaluates the effectiveness of the introduction of a Writing Center at a university. The center has the purpose to provide subject-specific courses that aim to improve students' abilities of scientific writing. In order to deal with presumed selfperceptional biases of students in feedback surveys, we use different quantitative evaluation methods and compare the results to corresponding qualitative student surveys. Based on this evaluation, we present and discuss the validity of the approaches to evaluate educational programs. Although almost all students reported the writing courses to be helpful, we fi nd no signifi cant effect of course participation on students' grades. We attribute the difference in the results between quantitative methods and qualitative surveys to the inappropriateness of student course evaluations for assessing the effectiveness of educational measures.

Suggested Citation

  • Bredtmann, Julia & Crede, Carsten J. & Otten, Sebastian, 2011. "Methods for Evaluating Educational Programs – Does Writing Center Participation Affect Student Achievement?," Ruhr Economic Papers 275, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:275
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    1. Martin Davies & Joe Hirschberg & Jenny Lye & Carol Johnston & Ian Mcdonald, 2007. "Systematic Influences On Teaching Evaluations: The Case For Caution," Australian Economic Papers, Wiley Blackwell, vol. 46(1), pages 18-38, March.
    2. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    3. Jochen Kluve & David Card & Michael Fertig & Marek Góra & Lena Jacobi & Peter Jensen & Reelika Leetmaa & Leonhard Nima & Eleonora Patacchini & Sandra Schaffner & Christoph M. Schmidt & Bas Klaauw & An, 2007. "Active Labor Market Policies in Europe," Springer Books, Springer, number 978-3-540-48558-2, July.
    4. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    5. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    7. Brian A. Jacob & Lars Lefgren & David P. Sims, 2010. "The Persistence of Teacher-Induced Learning," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 915-943.
    8. Susan M. Dynarski, 2003. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," American Economic Review, American Economic Association, vol. 93(1), pages 279-288, March.
    9. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, Enero-Abr.
    10. Gregory A. Krohn & Catherine M. O'Connor, 2005. "Student Effort and Performance over the Semester," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 3-28, January.
    11. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    12. Charles Ballard & Marianne Johnson, 2005. "Gender, Expectations, And Grades In Introductory Microeconomics At A Us University," Feminist Economics, Taylor & Francis Journals, vol. 11(1), pages 95-122.
    13. Michael A McPherson & R Todd Jewell & Myungsup Kim, 2009. "What Determines Student Evaluation Scores? A Random Effects Analysis of Undergraduate Economics Classes," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 35(1), pages 37-51.
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    More about this item

    Keywords

    Performance evaluation; educational programs; student evaluation; empirical methods; Performance evaluation; educational programs; student evaluation; empirical methods;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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