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Selecting the right analyses for your data :
"What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use ve...
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| 格式: | Printed Book |
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NEW YORK
guilford
2014
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书本目录:
- Machine generated contents note: Preface
- General Introduction
- I. Coding Data--by Design
- 1. Coding Survey Data
- 2. Coding Interview Data
- 3. Coding Experimental Data
- 4. Coding Observational Data
- 5. Coding Archival Data
- II. Analysis and Interpretation of Quantitative Data
- 6. Describing, Exploring, and Visualizing Your Data
- 7. Inferential Measures and Methods
- 8. Associational Methods and Analyses
- 9. Advanced Associational Methods and Analyses
- 10. Model Selection and Inference: Quantitative Data
- III. Analysis and Interpretation of Qualitative and Combined Data
- 11. Inductive Analyses of Qualitative Data: Ethnographic Approaches and Grounded Theory
- 12. Deductive Analyses of Qualitative Data: Comparative Case Studies and Qualitative Comparative Analysis
- 13. Coding and Analyzing Data from Combined and Mixed Designs
- 14. Common Themes and Diverse Choices.