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Ross, John A. – Evaluation and Program Planning: An International Journal, 1981
Professional evaluators are often called upon to analyze data produced by a catastrophically inadequate evaluation design. A remedial strategy involving diagnosis of error, application of a corrective procedure and sensitization of program personnel of the need for a more sophisticated stance, is proposed and illustrated with a case study.…
Descriptors: Data Analysis, Meta Evaluation, Models, Program Evaluation
Peer reviewed Peer reviewed
Caulley, Darrel N. – Evaluation and Program Planning: An International Journal, 1983
An introduction and overview to document analysis as a retrospective data collection technique are presented. (PN)
Descriptors: Content Analysis, Data Analysis, Data Collection, Evaluation Methods
Peer reviewed Peer reviewed
Smith, Nick L. – Evaluation and Program Planning: An International Journal, 1979
Three standard techniques for the analysis of geographic data are presented and their use in evaluation is discussed. These three techniques are: geocode analysis, trend surface analysis, and social area or ecological analysis. (CTM)
Descriptors: Cluster Analysis, Data Analysis, Demography, Environmental Influences
Peer reviewed Peer reviewed
Feather, John – Evaluation and Program Planning: An International Journal, 1982
Three types of macro-level variables for program analysis--cultural, economic and demographic--provide a context for evaluation and offer alternative explanations for program success or failure. The problems of causality and availability of data, as well as the usefulness of macro variables in meta evaluation are discussed. (Author/CM)
Descriptors: Cultural Context, Data Analysis, Demography, Economic Factors
Peer reviewed Peer reviewed
Piasecki, Joseph R.; Kamis-Gould, Edna – Evaluation and Program Planning: An International Journal, 1981
Social area analysis (SAA) is defined, and its conceptual roots and principal applications identified. The utility of SAA is assessed by reviewing use of demographic data among several disciplines. Authors review seminal and recent contributions to the field. Ecological fallacies and other problematic facets of SAA are considered. (Author/DWH)
Descriptors: Area Studies, Classification, Data Analysis, Ecology