Reviews for Linking Auditing and Meta-Evaluatiuon: Enhancing Quality in Applied Research, Vol. 11

The average rating for Linking Auditing and Meta-Evaluatiuon: Enhancing Quality in Applied Research, Vol. 11 based on 2 reviews is 4 stars.

Review # 1 was written on 2012-08-07 00:00:00 Andrew Davis Klecka presents an introduction to several related statistical procedures known as discriminant analysis, which is a technique for examining differences between two or more groups of objects with respect to several variables simultaneously. The book introduces canonical discriminant functions, classification functions and procedures, and selection criteria for the inclusion of variables in discriminant analysis. Klecka derives canonical discriminant function coefficients, provides a spatial interpretation of them, and discusses the interpretation of canonical discriminant functions. Unstandardized and standardized coefficients are discussed, as well as procedures to determine how many discriminant functions are significant. He includes a discussion of the violation of the assumptions which underlie discriminant analysis.

Review # 2 was written on 2010-05-22 00:00:00 Alvis Champlin In the late 1980s and early 1990s, I used discriminant analysis quite a bit. It was a helpful method of finding out which variables "discriminated" between two groups. One simple example (Page 5) is the value of this statistical technique to "isolate variables which discriminate among citizens who will vote for Democreats versus Republicans. . . ." Since then, I have come to prefer logistic regression. However, while using this technique I did come to appreciate its value. This book was a useful aid to me as I worked through interpreting results. For those who choose to use discrimnant analysis, this volume--while dated--can be a welcome resource.