Literature DB >> 25805301

2014 Rossi Award lecture:* beyond internal validity.

Larry L Orr1.   

Abstract

BACKGROUND: For much of the last 40 years, the evaluation profession has been consumed in a battle over internal validity. Today, that battle has been decided. Random assignment, while still far from universal in practice, is almost universally acknowledged as the preferred method for impact evaluation. It is time for the profession to shift its attention to the remaining major flaws in the "standard model" of evaluation: (i) external validity and (ii) the high cost and low hit rate of experimental evaluations as currently practiced. RECOMMENDATIONS: To raise the profession's attention to external validity, the author recommends some simple, easy steps to be taken in every evaluation. The author makes two recommendations to increase the number of interventions found to be effective within existing resources: First, a two-stage evaluation strategy in which a cheap, streamlined Stage 1 evaluation is followed by a more intensive Stage 2 evaluation only for those interventions found to be effective in a Stage 1 trial and, second, use of random assignment to guide the myriad program management decisions that must be made in the course of routine program operations. This article is not intended as a solution to these issues: It is intended to stimulate the evaluation community to take these issues more seriously and to develop innovative solutions.
© The Author(s) 2015.

Keywords:  content area; design and evaluation of programs and policies; methodological development; outcome evaluation (other than economic evaluation)

Mesh:

Year:  2015        PMID: 25805301     DOI: 10.1177/0193841X15573659

Source DB:  PubMed          Journal:  Eval Rev        ISSN: 0193-841X


  2 in total

1.  Generalizing Treatment Effect Estimates From Sample to Population: A Case Study in the Difficulties of Finding Sufficient Data.

Authors:  Elizabeth A Stuart; Anna Rhodes
Journal:  Eval Rev       Date:  2016-08-04

2.  Cluster Sampling Bias in Government-Sponsored Evaluations: A Correlational Study of Employment and Welfare Pilots in England.

Authors:  Arnaud Vaganay
Journal:  PLoS One       Date:  2016-08-09       Impact factor: 3.240

  2 in total

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