Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods

Author:   W. Paul Vogt (PhD (deceased), United States) ,  Elaine R. Vogt (Illinois Wesleyan University (Retired), United States) ,  Dianne C. Gardner (Illinois State University, United States) ,  Lynne M. Haeffele (Illinois State University, United States)
Publisher:   Guilford Publications
ISBN:  

9781462515769


Pages:   500
Publication Date:   14 July 2014
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods


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Author:   W. Paul Vogt (PhD (deceased), United States) ,  Elaine R. Vogt (Illinois Wesleyan University (Retired), United States) ,  Dianne C. Gardner (Illinois State University, United States) ,  Lynne M. Haeffele (Illinois State University, United States)
Publisher:   Guilford Publications
Imprint:   Guilford Press
Dimensions:   Width: 17.80cm , Height: 2.70cm , Length: 25.40cm
Weight:   0.880kg
ISBN:  

9781462515769


ISBN 10:   1462515762
Pages:   500
Publication Date:   14 July 2014
Audience:   College/higher education ,  College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface General Introduction I. Coding Data—by Design 1. Coding Survey Data 2. Coding Interview Data 3. Coding Experimental Data 4. Coding Data from Naturalistic and Participant Observations 5. Coding Archival Data II. Analysis and Interpretation of Quantitative Data 6. Describing, Exploring, and Visualizing Your Data 7. What Methods of Statistical Inference to Use When 8. What Associational Statistics to Use When 9. Advanced Associational Methods and Analyses 10. Model Building and Selection : Quantitative Data III. Analysis and Interpretation of Qualitative and Combined/Mixed 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. Conclusion

Reviews

The authors are masterful writers who combine depth and accessibility. --Jerrell C. Cassady, PhD, Department of Educational Psychology, Ball State University This is a comprehensive resource that delivers what the title promises and more. It provides a great introduction to nearly all data-analytic methods currently utilized by social scientists, and very effectively guides the reader to more in-depth treatments of the subject matter. --Ryan Spohn, PhD, University of Nebraska at Omaha, School of Criminology and Criminal Justice A field guide for researchers who are looking for detailed discussions of the choices they have to make as they work through the research process, whether they are taking a quantitative, qualitative, or combined approach. This isn't a 'how-to' in terms of analyses, but more of a 'here's what to consider' book. The tone is at once casual and professional, incorporating real-world examples and occasional humor. The authors have their fingers on the pulse of the field and clearly explain complex ideas. --Theresa DiDonato, PhD, Department of Psychology, Loyola University Maryland This is the first book I've seen that goes into depth about coding, which is sorely needed. It also does an excellent job of discussing analysis and interpretation at a conceptual level, while providing enough guidance on where to go to get the needed technical assistance. The way the authors compare and contrast quantitative and qualitative methods, approaches, and ways of thinking is particularly strong and well balanced. --Marji Erickson Warfield, PhD, Heller School for Social Policy and Management, Brandeis University A useful text. Many students are stymied by data analysis; they think that you just feed data into some software, and viola! I recently told a student that saying a software package will analyze your data is akin to saying Word will write your dissertation. This book gives students data analysis options so they can ch


This is the first book I've seen that goes into depth about coding, which is sorely needed. It also does an excellent job of discussing analysis and interpretation at a conceptual level, while providing enough guidance on where to go to get the needed technical assistance. The way the authors compare and contrast quantitative and qualitative methods, approaches, and ways of thinking is particularly strong and well balanced. --Marji Erickson Warfield, PhD, Heller School for Social Policy and Management, Brandeis University This is a comprehensive resource that delivers what the title promises and more. It provides a great introduction to nearly all data-analytic methods currently utilized by social scientists, and very effectively guides the reader to more in-depth treatments of the subject matter. --Ryan Spohn, PhD, University of Nebraska at Omaha, School of Criminology and Criminal Justice A field guide for researchers who are looking for detailed discussions of the choices they have to make as they work through the research process, whether they are taking a quantitative, qualitative, or combined approach. This isn't a 'how-to' in terms of analyses, but more of a 'here's what to consider' book. The tone is at once casual and professional, incorporating real-world examples and occasional humor. The authors have their fingers on the pulse of the field and clearly explain complex ideas. --Theresa DiDonato, PhD, Department of Psychology, Loyola University Maryland A useful text. Many students are stymied by data analysis; they think that you just feed data into some software, and voila! I recently told a student that saying a software package will analyze your data is akin to saying Word will write your dissertation. This book gives students data analysis options so they can choose the approach most appropriate for the specific research design. --Janet Salmons, PhD, School of Business and Technology, Capella University The authorsn


Author Information

W. Paul Vogt, PhD, until his death in 2016, was Emeritus Professor of Research Methods and Evaluation at Illinois State University, where he received both teaching and research awards. Dr. Vogt’s areas of specialization included research design and data analysis, with particular emphasis on combining qualitative, quantitative, and graphic approaches. His books include Selecting the Right Analyses for Your Data and When to Use What Research Design. Elaine R. Vogt, MA, CAS, is certified as a school psychologist in New York and Illinois and has worked as a psychologist in schools and a variety of other public and private institutions. She recently retired from Illinois Wesleyan University, where she taught piano and was a staff accompanist. Ms. Vogt's research interests include cognitive psychology, especially music cognition. Dianne C. Gardner, PhD, is Associate Professor of Educational Administration and Foundations and a Research Associate at the Center for the Study of Education Policy at Illinois State University. Dr. Gardner’s research interests include assessment, evaluation of collaborative professional learning systems, qualitative research methodology, and P-20 education systems. She serves as a program evaluator for state- and federally funded education programs. Lynne M. Haeffele, PhD, is a Senior Research Associate at the Center for the Study of Education Policy at Illinois State University and also serves as Education Policy Director in the Office of the Illinois Lieutenant Governor. She provides research, evaluation, policy analysis, and management expertise for various state and federal projects in P-20 education, and has served as a consultant to the U.S. Department of Education. Dr. Haeffele’s research interests include combining research designs, applying research findings to policy and practice, program evaluation, and the topical areas of college readiness and completion, organizational performance, and school-university partnerships.

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