1J Methods for Evaluation Research
Kevin Smith, University of
Nebraska-Lincoln
8 - 19 July (two week course / 35 hrs)
Detailed Course Outline [PDF]
Course Content
This course provides a comprehensive introduction to the logic and methods of evaluation research and policy analysis. This includes an introduction to basic assumptions and frameworks., coverage of some of the primary quantitative techniques, and the process of making prescriptive inferences. The heart of the course is an examination of mainstream approaches to ex ante policy analysis (cost analysis techniques) and ex post policy analysis (impact analysis, or regression based programme evaluation). Students will have a chance to apply these techniques to ‘real world’ policy problems.
Course Objectives
Professional policy analysis is mostly about trying to answer two questions: What should we do? What have we done? This course aims to provide participants with the basic skills necessary to answer those questions systematically and to communicate those answers effectively.
Course Prerequisites
Participants should have some background in statistics, but no extensive knowledge of quantitative methods is assumed. A basic grasp of ordinary least squares regression, however, is essential.
Remedial Reading
Miles J. and Mark Shevlin, 2001. Applying Regression & Correlation. Sage.
Representative Reading
Mohr, L. 1995. Impact Analysis for Program Evaluation. Sage.
Levin, H. M., and McEwan, P.J. 2001. Cost-Effectiveness Analysis. Sage.
