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Data Analysis Strategies for Mixed-Method Evaluation Designs
Valerie J. Caracelli and Jennifer C. Greene
Educational Evaluation and Policy Analysis
Vol. 15, No. 2 (Summer, 1993), pp. 195-207
Published by: American Educational Research Association
Stable URL: http://www.jstor.org/stable/1164421
Page Count: 13
You can always find the topics here!Topics: Educational evaluation, Data analysis, Data types, Personnel evaluation, Design analysis, Triangulation, Qualitative data, Analytics, Datasets, Curriculum evaluation
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Four integrative data analysis strategies for mixed-method evaluation designs are derived from and illustrated by empirical practice: data transformation, typology development, extreme case analysis, and data consolidation/merging. The appropriateness of these strategies for different kinds of mixed-method intents is then discussed. Where appropriate, such integrative strategies are encouraged as ways to realize the full potential of mixed-methodological approaches.
Educational Evaluation and Policy Analysis © 1993 American Educational Research Association