Using macro variables in program evaluation.

This paper discusses the importance of using macro-level variables for program analysis. It is argued that three types of macro variables--cultural, economic, and demographic--provide a context for evaluation, and offer alternative explanations for the success or failure of a program. The problems of causality and availability of data are discussed. Macro variables are seen to be especially useful in "meta evaluation," and in integrating the results of specific program evaluations into general conclusions.