Critical thinking requires that we dig beneath the surface of organizational issues to explore multiple views, context, and aspects of knowing. In this exercise, students explore these deeper issues with the question: Are incentives effective? A hypothetical case unfolds to show how two consulting groups can arrive at very different…

This document was produced by the authors based on their research for the report, "Family Finding Evaluations: A Summary of Recent Findings. Publication #2015-01," and is an added resource for further information. The report reviews the results from 13 evaluations of Family Finding. The Family Finding model provides child welfare…

This article is about a training project run by Central England People First (CEPF). CEPF has been doing workshops, conferences and other training for over 10 years. It seemed like a good idea to help other people with learning difficulties to learn how to be trainers. This would help them to speak out about their lives and the services they want.…

Many program evaluations involve some type of statistical testing to verify that the program has succeeded in accomplishing initially established goals. In many cases, this takes the form of null hypothesis significance testing (NHST) with t-tests, analysis of variance, or some form of the general linear model. This paper contends that, at least…

Constructs a model that explains a large fraction of the variance in political science departmental rankings. Divides the objective predictors into two sets: one reflecting faculty quality ratings of department members, the other the effects of circumstances beyond a department's control. This model works well with most social science disciplines.…

Analyzes the National Research Council's rating of political science departments and discovers the ratings reflect two general sets of characteristics, the size and productivity of the faculty. Reveals that the quality and impact of faculty research is more important than the overall output. Includes tables of statistical data. (MJP)