IDEAS home Printed from
   My bibliography  Save this paper

Guide For Program Evaluatio??


  • Maud Roucan-Kane,

    () (Department of Agricultural Economics, Purdue University)

  • Joseph Suttles

    () (Department of Agricultural Economics, Purdue University)


Extension programs must be evaluated in order to assess their value to participants, institutions, funders, and all other stakeholders. Evaluations can be especially useful when the program has specific objectives that are measurable, either qualitatively and quantitatively. There are many different methods and formats for evaluation, and choosing the correct evaluation can be critical to ensuring the accuracy and relevance of the evaluation results. Considerable thought must be put into determining the correct method for an evaluation, and they must always be focused on the specific objectives of the extension program. After administering an evaluation, the results should be communicated back to the stakeholders of the program in an effective manner and, after some deliberation, the program should be considered for alteration if deemed necessary. This paper aims to be a ‘how-to’ guide for development, administration, and appraisal of evaluations and evaluation results for a broad spectrum of extension programs.

Suggested Citation

  • Maud Roucan-Kane, & Joseph Suttles, 2009. "Guide For Program Evaluatio??," Working Papers 09-05, Purdue University, College of Agriculture, Department of Agricultural Economics.
  • Handle: RePEc:pae:wpaper:09-05

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. James McGibany & Farrokh Nourzad, 2004. "Do lower mortgage rates mean higher housing prices?," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 305-313.
    2. Michael Beenstock & Daniel Felsenstein, 2007. "Spatial Vector Autoregressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 167-196.
    3. Carlos Vargas-Silva, 2008. "The effect of monetary policy on housing: a factor-augmented vector autoregression (FAVAR) approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 749-752.
    4. Valter Di Giacinto, 2003. "Differential Regional Effects of Monetary Policy: A Geographical SVAR Approach," International Regional Science Review, , vol. 26(3), pages 313-341, July.
    5. Jan Kakes & Jan Willem Van Den End, 2004. "Do stock prices affect house prices? Evidence for the Netherlands," Applied Economics Letters, Taylor & Francis Journals, vol. 11(12), pages 741-744.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    8. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    9. Norman Miller & Liang Peng, 2006. "Exploring Metropolitan Housing Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 5-18, August.
    10. N. Apergis & A. Rezitis, 2003. "Housing prices and macroeconomic factors in Greece: prospects within the EMU," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 799-804.
    11. Im, K.S. & Pesaran, M.H., 2003. "On The Panel Unit Root Tests Using Nonlinear Instrumental Variables," Cambridge Working Papers in Economics 0347, Faculty of Economics, University of Cambridge.
    12. Ramazan Sari & Bradley T. Ewing & Bahadir Aydin, 2007. "Macroeconomic Variables and the Housing Market in Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(5), pages 5-19, October.
    13. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    14. Pan, Zheng & LeSage, James P., 1995. "Using spatial contiguity as prior information in vector autoregressive models," Economics Letters, Elsevier, vol. 47(2), pages 137-142, February.
    15. Baffoe-Bonnie, John, 1998. "The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 17(2), pages 179-197, September.
    Full references (including those not matched with items on IDEAS)

    More about this item


    extension program; evaluation; LOGIC;

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:pae:wpaper:09-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Debby Weber). General contact details of provider: .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.