Data Analysis Strategies for Mixed-Method Evaluation Designs
Educational Evaluation and Policy AnalysisPublished 1 June 1993
Valerie J. Caracelli, Jennifer C. Greene
Citations603
SJR quartileQ1
SJR score1.69
SNIP1.74
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Abstract
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.
Keywords
Social SciencesDecision Sciences
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