Analyzing Qualitative Data
Systematic Approaches
Häftad, Engelska, 2016
1 789 kr
Produktinformation
- Utgivningsdatum2016-09-16
- Mått187 x 231 x 19 mm
- Vikt850 g
- FormatHäftad
- SpråkEngelska
- Antal sidor576
- Upplaga2
- FörlagSAGE Publications
- ISBN9781483344386
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H. Russell Bernard is director of the Institute for Social Science Research at Arizona State University and Professor Emeritus of Anthropology of the University of Florida. He is a cultural anthropologist specializing in technology and social change, language revitalization, and social network analysis. Bernard has done research or taught at universities in the United States, Mexico, Greece, Japan, and Germany. He is a former editor of Human Organization and the American Anthropologist and is the founder and editor of the journal Field Methods. Bernard’s books include Research Methods in Anthropology and Social Research Methods (both with Amber Wutich); Analyzing Qualitative Data (with Gery Ryan and Amber Wutich); and Native Ethnography (with Jesús Salinas Pedraza). Bernard was the 2003 recipient of the Franz Boas Award and the 2024 recipient of the Conrad Arensberg Award from the American Anthropological Association and is a member of the U.S. National Academy of Sciences. Amber Wutich is a Regents & President’s Professor of Anthropology at Arizona State University, a MacArthur Fellow, and Director of ASU’s Center for Global Health. An ethnographer and methodologist, Wutich has authored 200+ papers, co-edits the journal Field Methods, and directs the NSF Cultural Anthropology Methods Program. Her two decades of community-based fieldwork explores how people respond, individually and collectively, to extremely water-scarce conditions. An expert on water insecurity, Wutich directs the Global Ethnohydrology Study, a cross-cultural study of water knowledge and management in 20+ countries. She leads Arizona Water for All, a participatory study that develops collaborative water solutions with water-insecure U.S. communities. Wutich’s books include The Human Story: An Introduction to Anthropology (with Alexandra Brewis, Kelly Knudson, Christopher Stojanowski, and Cindi SturtzSreetharan), Lazy, Crazy, Disgusting: Stigma and the Undoing of Global Health (with Alexandra Brewis), Research Methods in Anthropology and Social Research Methods (both with H. Russell Bernard); and Analyzing Qualitative Data (with H. Russell Bernard and Gery Ryan). Gery Ryan (Ph. D., University of Florida, 1995) is a Senior Behavioral Scientist at the RAND Corporation and Assistant Dean for Academic Affairs at the Pardee RAND Graduate School in Policy Analysis. Ryan’s research focuses on social factors in mental and physical health, and includes studies on HIV/AIDS, depression, serious mental illness, childhood diarrhea and acute respiratory illnesses, obesity and complementary and alternative medicine. He has worked extensively in Latin America and Africa on health-related issues and helped redesign and implement a large-scale education reform in Qatar. As a methodologist, Ryan has published widely on the application of systematic methods to qualitative research. Over the last 20 years, he has run workshops sponsored by NSF, NIH, CDC and WHO on qualitative research methods and has taught these methods at UCLA, Pardee RAND, and the University of Missouri.
- Chapter 1: Introduction to Text: Qualitative Data AnalysisIntroduction: What Is Qualitative Data Analysis?What Are Data and What Makes Them Qualitative?About Numbers and WordsResearch GoalsKinds of Qualitative DataKey Concepts in This ChapterSummaryFurther ReadingChapter 2: Choosing a Topic and Searching the LiteratureIntroductionExploratory and Confirmatory ResearchFour Questions to Ask About Research QuestionsThe Role of Theory in Social ResearchChoosing a Research QuestionThe Literature SearchDatabases for Searching the LiteratureKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 3: Research Design I: SamplingIntroductionTwo Kinds of SamplesKinds of Nonprobability SamplesKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 4: Research Design II: Collecting DataIntroductionData Collection MethodsIndirect ObservationDirect ObservationElicitation MethodsAccuracyEliciting Cultural DomainsMixed MethodsChoosing a Data Collection StrategyKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 5: Finding ThemesIntroductionWhat’s a Theme?Where Do Themes Come From?Eight Observational Techniques: Things to Look forFour Manipulative Techniques: Ways to Process TextsSelecting Among TechniquesAnd Finally...Key Concepts in This ChapterSummaryExercisesFurther ReadingChapter 6: Codebooks and CodingIntroductionThree Kinds of CodesBuilding CodebooksUsing Existing CodesCodebooks Continue to DevelopHierarchical Organization of CodebooksApplying Theme Codes to TextThe Mechanics of Marking TextMultiple CodersThe Content of CodebooksDescribing Themes: Bloom’s Study of AIDSFinding Typical Segments of TextKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 7: Introduction to Data AnalysisIntroduction: What Is analysis?Database ManagementData MatricesProximity MatricesKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 8: Conceptual ModelsIntroductionStatistical Models and Text AnalysisBuilding ModelsStep 1: Identifying Key ConceptsStep 2: Linking Key ConstructsStep 3: Testing the ModelKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 9: Comparing Attributes of VariablesIntroductionFundamental Features of ComparisonsLevels of MeasurementConverting Text to Variable DataLevels of AggregationMany Types of ComparisonsComparing the ColumnsAnd Finally...Key Concepts in This ChapterSummaryExercisesFurther ReadingChapter 10: Grounded TheoryIntroduction: On Induction and DeductionOverview of Grounded TheoryA GT Project: Schlau’s Study of Adjustment to Becoming Deaf as an AdultVisualizing Grounded TheoriesKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 11: Content AnalysisIntroductionHistory of Content AnalysisDoing Content AnalysisIntercoder ReliabilityA Real Example of Using Kappa: Carey et al.’s StudyCross-Cultural Content Analysis: HRAFAutomated Content Analysis: Content DictionariesKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 12: Schema AnalysisIntroductionHistory of Schema AnalysisMental ModelsKinds of SchemasMethods for Studying SchemasFolk Theories: Kempton’s Study of Home ThermostatsKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 13: Narrative AnalysisIntroductionSociolinguisticsHermeneuticsPhenomenologySteps in a Phenomenological StudyKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 14: Discourse Analysis II: Conversation and PerformanceIntroductionGrammar Beyond the SentenceConversation AnalysisTranscriptionsTaking Turns in a JuryPerformance Analysis: EthnopoeticsLanguage in UseCritical Discourse Analysis: Language and PowerKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 15: Analytic Induction and Qualitative Comparative AnalysisIntroductionInduction and Deduction—AgainAnalytic InductionQualitative Comparative Analysis—QCAAnd Finally...Key Concepts in This ChapterSummaryExercisesFurther ReadingChapter 16: Ethnographic Decision ModelsIntroductionHow to Build EDMsKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 17: KWIC Analysis and Word CountsIntroductionKWIC—Key Word in ContextAn Example of KWICWord CountsWords and MatricesPersonal AdsDescribing ChildrenWord Counts Are Only a StartKey Concepts in This ChapterSummaryExercisesFurther ReadingChapter 18: Cultural Domain AnalysisIntroductionWhat Are Cultural Domains?Free ListsPlotting Free ListsAnalyzing Free List DataPile SortsAnalyzing Pile Sort Data: MDSFolk TaxonomiesHow to Make a Taxonomy: Lists and FramesAnd Finally...Key Concepts in This ChapterSummaryExercisesFurther ReadingChapter 19: Semantic Network AnalysisIntroductionConverting Texts Into Similarity MatricesJang and Barnett’s Study of CEO LettersNolan and Ryan’s Study of Horror FilmsSome Cautions About All ThisSemantic Network Analysis of ThemesAnd Finally...Key Concepts in This ChapterSummaryExercisesFurther ReadingAppendix