書籍詳細

書籍詳細




洋書

質的データ分析(第2版)

Analyzing Qualitative Data : Systematic Approaches

2ND

Bernard, H. Russell   Wutich, Amber   Ryan, Gery W.

Sage 2016/07
656 p. illustrations ; 24 cm   
装丁: Pap   
版表示など: pap.    装丁について
テキストの言語: ENG    出版国: GB
ISBN: 9781483344386
KCN: 1024226357
紀伊國屋書店 選定タイトル
標準価格:¥13,656(本体 ¥12,415)   
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納期について
DDC: 001.42
KDC: C11 社会調査法・統計学
関連書リスト: SB2803
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Annotation

An all-new chapter on doing literature review focused on choosing research topics that rely at least partly on qualitative data. A new chapter on semantic network analysis covers network analysis, how to count similarity, Jaccard's coefficient of similarity, and semantic network analyses of themes and codes.

Full Description

Pairing each data collection technique with the appropriate analytic method, this book provides readers with information on doing qualitative collection and analysis, and guides them on selecting among the complete variety of qualitative techniques.
Detailed information

Table of Contents

Chapter 1: Introduction to Text: Qualitative Data Analysis Introduction: What Is Qualitative Data Analysis? What Are Data and What Makes Them Qualitative? About Numbers and Words Research Goals Kinds of Qualitative Data Key Concepts in This Chapter Summary Further Reading Chapter 2: Choosing a Topic and Searching the Literature Introduction Exploratory and Confirmatory Research Four Questions to Ask About Research Questions The Role of Theory in Social Research Choosing a Research Question The Literature Search Databases for Searching the Literature Key Concepts in This Chapter Summary Exercises Further Reading Chapter 3: Research Design I: Sampling Introduction Two Kinds of Samples Kinds of Nonprobability Samples Key Concepts in This Chapter Summary Exercises Further Reading Chapter 4: Research Design II: Collecting Data Introduction Data Collection Methods Indirect Observation Direct Observation Elicitation Methods Accuracy Eliciting Cultural Domains Mixed Methods Choosing a Data Collection Strategy Key Concepts in This Chapter Summary Exercises Further Reading Chapter 5: Finding Themes Introduction What's a Theme? Where Do Themes Come From? Eight Observational Techniques: Things to Look for Four Manipulative Techniques: Ways to Process Texts Selecting Among Techniques And Finally... Key Concepts in This Chapter Summary Exercises Further Reading Chapter 6: Codebooks and Coding Introduction Three Kinds of Codes Building Codebooks Using Existing Codes Codebooks Continue to Develop Hierarchical Organization of Codebooks Applying Theme Codes to Text The Mechanics of Marking Text Multiple Coders The Content of Codebooks Describing Themes: Bloom's Study of AIDS Finding Typical Segments of Text Key Concepts in This Chapter Summary Exercises Further Reading Chapter 7: Introduction to Data Analysis Introduction: What Is analysis? Database Management Data Matrices Proximity Matrices Key Concepts in This Chapter Summary Exercises Further Reading Chapter 8: Conceptual Models Introduction Statistical Models and Text Analysis Building Models Step 1: Identifying Key Concepts Step 2: Linking Key Constructs Step 3: Testing the Model Key Concepts in This Chapter Summary Exercises Further Reading Chapter 9: Comparing Attributes of Variables Introduction Fundamental Features of Comparisons Levels of Measurement Converting Text to Variable Data Levels of Aggregation Many Types of Comparisons Comparing the Columns And Finally... Key Concepts in This Chapter Summary Exercises Further Reading Chapter 10: Grounded Theory Introduction: On Induction and Deduction Overview of Grounded Theory A GT Project: Schlau's Study of Adjustment to Becoming Deaf as an Adult Visualizing Grounded Theories Key Concepts in This Chapter Summary Exercises Further Reading Chapter 11: Content Analysis Introduction History of Content Analysis Doing Content Analysis Intercoder Reliability A Real Example of Using Kappa: Carey et al.'s Study Cross-Cultural Content Analysis: HRAF Automated Content Analysis: Content Dictionaries Key Concepts in This Chapter Summary Exercises Further Reading Chapter 12: Schema Analysis Introduction History of Schema Analysis Mental Models Kinds of Schemas Methods for Studying Schemas Folk Theories: Kempton's Study of Home Thermostats Key Concepts in This Chapter Summary Exercises Further Reading Chapter 13: Narrative Analysis Introduction Sociolinguistics Hermeneutics Phenomenology Steps in a Phenomenological Study Key Concepts in This Chapter Summary Exercises Further Reading Chapter 14: Discourse Analysis II: Conversation and Performance Introduction Grammar Beyond the Sentence Conversation Analysis Transcriptions Taking Turns in a Jury Performance Analysis: Ethnopoetics Language in Use Critical Discourse Analysis: Language and Power Key Concepts in This Chapter Summary Exercises Further Reading Chapter 15: Analytic Induction and Qualitative Comparative Analysis Introduction Induction and Deduction-Again Analytic Induction Qualitative Comparative Analysis-QCA And Finally... Key Concepts in This Chapter Summary Exercises Further Reading Chapter 16: Ethnographic Decision Models Introduction How to Build EDMs Key Concepts in This Chapter Summary Exercises Further Reading Chapter 17: KWIC Analysis and Word Counts Introduction KWIC-Key Word in Context An Example of KWIC Word Counts Words and Matrices Personal Ads Describing Children Word Counts Are Only a Start Key Concepts in This Chapter Summary Exercises Further Reading Chapter 18: Cultural Domain Analysis Introduction What Are Cultural Domains? Free Lists Plotting Free Lists Analyzing Free List Data Pile Sorts Analyzing Pile Sort Data: MDS Folk Taxonomies How to Make a Taxonomy: Lists and Frames And Finally... Key Concepts in This Chapter Summary Exercises Further Reading Chapter 19: Semantic Network Analysis Introduction Converting Texts Into Similarity Matrices Jang and Barnett's Study of CEO Letters Nolan and Ryan's Study of Horror Films Some Cautions About All This Semantic Network Analysis of Themes And Finally... Key Concepts in This Chapter Summary Exercises Further Reading Appendix