\ W. Paul Vogt, Elaine R. Vogt, Dianne C. Gardner, Lynne M. Haeffele.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
New York
نام ناشر، پخش کننده و غيره
: The Guilford Press
تاریخ نشرو بخش و غیره
, 2014
مشخصات ظاهری
نام خاص و کميت اثر
xix, 500 pages
ساير جزييات
:illustration
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Index
متن يادداشت
Bibliography
یادداشتهای مربوط به مندرجات
متن يادداشت
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.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"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"--
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Social sciences
عنصر شناسه ای
Qualitative research
عنصر شناسه ای
علوم اجتماعی
عنصر شناسه ای
تحقیق کیفی
تقسیم فرعی موضوعی
-- Methodology
تقسیم فرعی موضوعی
-- روششناسی
داده رابط بین فیلدها
a03
داده رابط بین فیلدها
a05
داده رابط بین فیلدها
a03
داده رابط بین فیلدها
a05
موضوع مستند نشده
Quantitative research
موضوع مستند نشده
SOCIAL SCIENCE / Methodology.
موضوع مستند نشده
PSYCHOLOGY / Research & Methodology.
موضوع مستند نشده
MEDICAL / Nursing / Research & Theory.
موضوع مستند نشده
EDUCATION / Research.
موضوع مستند نشده
تحقیق کمی
رده بندی ديویی
شماره
001
.
4/2
ويراست
23
رده بندی کنگره
شماره رده
H62
نشانه اثر
.
V62
S4
2014
سایر رده بندی ها
شماره رده
EDU037000
کد سيستم
bisacsh
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )