Selecting the right analyses for your data: quantitative, qualitative, and mixed methods
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
Guilford Publications
©2014
|
| Schlagworte: | |
| Online-Zugang: | TUM01 Volltext |
| Beschreibung: | "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 verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"-- Includes bibliographical references and index 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 |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 1462515762 1462516033 9781462515769 9781462516032 |
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| 500 | |a "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 verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"-- | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a 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 | ||
| 650 | 7 | |a REFERENCE / Questions & Answers |2 bisacsh | |
| 650 | 7 | |a Qualitative research |2 fast | |
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| 650 | 7 | |a Social sciences / Research / Methodology |2 fast | |
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| 650 | 4 | |a Quantitative research | |
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| spelling | Selecting the right analyses for your data quantitative, qualitative, and mixed methods W. Paul Vogt [and others] New York Guilford Publications ©2014 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier "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 verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"-- Includes bibliographical references and index 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 REFERENCE / Questions & Answers bisacsh Qualitative research fast Quantitative research fast Social sciences / Research / Methodology fast Sozialwissenschaften Social sciences Research Methodology Quantitative research Qualitative research Vogt, W. Paul -2016 Sonstige (DE-588)1074044118 oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=771500 Aggregator Volltext |
| spellingShingle | Selecting the right analyses for your data quantitative, qualitative, and mixed methods REFERENCE / Questions & Answers bisacsh Qualitative research fast Quantitative research fast Social sciences / Research / Methodology fast Sozialwissenschaften Social sciences Research Methodology Quantitative research Qualitative research |
| title | Selecting the right analyses for your data quantitative, qualitative, and mixed methods |
| title_auth | Selecting the right analyses for your data quantitative, qualitative, and mixed methods |
| title_exact_search | Selecting the right analyses for your data quantitative, qualitative, and mixed methods |
| title_full | Selecting the right analyses for your data quantitative, qualitative, and mixed methods W. Paul Vogt [and others] |
| title_fullStr | Selecting the right analyses for your data quantitative, qualitative, and mixed methods W. Paul Vogt [and others] |
| title_full_unstemmed | Selecting the right analyses for your data quantitative, qualitative, and mixed methods W. Paul Vogt [and others] |
| title_short | Selecting the right analyses for your data |
| title_sort | selecting the right analyses for your data quantitative qualitative and mixed methods |
| title_sub | quantitative, qualitative, and mixed methods |
| topic | REFERENCE / Questions & Answers bisacsh Qualitative research fast Quantitative research fast Social sciences / Research / Methodology fast Sozialwissenschaften Social sciences Research Methodology Quantitative research Qualitative research |
| topic_facet | REFERENCE / Questions & Answers Qualitative research Quantitative research Social sciences / Research / Methodology Sozialwissenschaften Social sciences Research Methodology |
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