MARC Record from Library of Congress

LEADER: 03972cam a2200373 i 4500
001 2014011278
003 DLC
005 20140731083208.0
008 140424s2014 nyu b 001 0 eng
010 $a 2014011278
020 $a9781462515769 (paperback)
020 $a9781462516025 (hardcover)
040 $aDLC$beng$cDLC$erda$dDLC
042 $apcc
050 00 $aH62$b.V6228 2014
082 00 $a001.4/2$223
084 $aSOC019000$aPSY030000$aMED058200$aEDU037000$2bisacsh
100 1 $aVogt, W. Paul.
245 10 $aSelecting the right analyses for your data :$bquantitative, qualitative, and mixed methods /$cW. Paul Vogt, Elaine R. Vogt, Dianne C. Gardner, Lynne M. Haeffele.
264 1 $aNew York :$bThe Guilford Press,$c©2014.
300 $axix, 500 pages ;$c27 cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
520 $a"What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"--$cProvided by publisher.
504 $aIncludes bibliographical references (pages 461-485) and index.
505 8 $aMachine 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 0 $aSocial sciences$xResearch$xMethodology.
650 0 $aQuantitative research.
650 0 $aQualitative research.
650 7 $aSOCIAL SCIENCE / Methodology.$2bisacsh
650 7 $aPSYCHOLOGY / Research & Methodology.$2bisacsh
650 7 $aMEDICAL / Nursing / Research & Theory.$2bisacsh
650 7 $aEDUCATION / Research.$2bisacsh