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.
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