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| Greene, Jennifer C. | 2 |
| Caracelli, Valerie J. | 1 |
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Peer reviewedCaracelli, Valerie J.; Greene, Jennifer C. – Educational Evaluation and Policy Analysis, 1993
The following four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: (1) data transformation; (2) typology development; (3) extreme case analysis; and (4) data consolidation and merging. Use of these methods to realize the full potential of mixed-method approaches is…
Descriptors: Classification, Data Analysis, Evaluation Methods, Program Design
Peer reviewedGreene, Jennifer C.; And Others – Educational Evaluation and Policy Analysis, 1989
A mixed-method conceptual framework was developed from the literature and refined through an analysis of 57 empirical mixed-method evaluations. Five purposes for mixed-method evaluation are identified (triangulation, complementarity, development, initiation, and expansion) and analyzed using the framework of 7 design characteristics. (TJH)
Descriptors: Data Analysis, Evaluation Methods, Methods Research, Multitrait Multimethod Techniques
