Get 20M+ Full-Text Papers For Less Than $1.50/day. Subscribe now for You or Your Team.

Learn More →

Data Analysis Strategies for Mixed-Method Evaluation Designs

Data Analysis Strategies for Mixed-Method Evaluation Designs 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Educational Evaluation and Policy Analysis SAGE

Data Analysis Strategies for Mixed-Method Evaluation Designs

Loading next page...
 
/lp/sage/data-analysis-strategies-for-mixed-method-evaluation-designs-MqfG24dXC3

References (43)

Publisher
SAGE
Copyright
Copyright © by SAGE Publications
ISSN
0162-3737
eISSN
1935-1062
DOI
10.3102/01623737015002195
Publisher site
See Article on Publisher Site

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.

Journal

Educational Evaluation and Policy AnalysisSAGE

Published: Jun 1, 1993

There are no references for this article.