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Caracelli, Valerie J.; Greene, Jennifer C. – New Directions for Evaluation, 1997
Two broad classes of mixed-method designs--component and integrated--that have the potential to combine elements of different inquiry traditions are described. The conceptual ideas advanced in the first chapter are illustrated through selected examples of several mixed-method integrated models. (Author/SLD)
Descriptors: Case Studies, Evaluation Methods, Models, Program Evaluation
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Datta, Lois-ellin – New Directions for Evaluation, 1997
A pragmatic framework for making decisions about mixed-method designs is proposed and then applied to illustrative evaluation case studies to help identify the strengths and limitations of making practical, contextual, and consequential considerations a primary basis for evaluation design decisions. (Author)
Descriptors: Case Studies, Evaluation Methods, Models, Program Evaluation
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Chen, Huey-tsyh – New Directions for Evaluation, 1997
Illustrative case studies support a contingency approach to mixed-method evaluation in which the evaluation team bases its selection of methods on the information to be provided, the availability of data, and the degree to which the program environment is an open or closed system. (SLD)
Descriptors: Case Studies, Context Effect, Evaluation Methods, Models
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Riggin, Leslie J. C. – New Directions for Evaluation, 1997
Case examples in the articles in this volume are analyzed in the mixed-method conceptual frameworks presented in the early chapters. The richer understanding derived from these approaches support the call to advance mixed-method inquiry beyond models and toward inquiry attributes that can be combined. (Author/SLD)
Descriptors: Case Studies, Evaluation Methods, Integrated Activities, Models
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Mark, Melvin M.; Feller, Irwin; Button, Scott B. – New Directions for Evaluation, 1997
A review of qualitative methods used in a predominantly quantitative evaluation indicates a variety of roles for such a mixing of methods, including framing and revising research questions, assessing the validity of measures and adaptations to program implementation, and gauging the degree of uncertainty and generalizability of conclusions.…
Descriptors: Case Studies, Integrated Activities, Models, Program Evaluation