A termék adatai:
| ISBN13: | 9781529616811 |
| ISBN10: | 1529616816 |
| Kötéstípus: | Puhakötés |
| Terjedelem: | 656 oldal |
| Méret: | 245x189 mm |
| Nyelv: | angol |
| 754 |
Témakör:
Social Research Methods
Qualitative, Quantitative and Mixed Methods Approaches
Kiadás sorszáma: Second Edition
Kiadó: SAGE Publications Ltd
Megjelenés dátuma: 2023. november 14.
Normál ár:
Kiadói listaár:
GBP 37.99
GBP 37.99
Az Ön ára:
14 679 (13 980 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 3 670 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
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Rövid leírás:
Whether students are working with qualitative, quantitative, or mixed methods approaches, this book demonstrates how good research is about asking and answering good questions—and guides readers new to methods in how to understand, structure, and successfully explore those questions.
Hosszú leírás:
Framing research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully.
Whether you are just beginning your research journey or are a seasoned traveller, it helps you:
• Decide what you want to achieve with your research
• Know what options you have to explore your goals
• Navigate the nuances of different research approaches
• Understand the decisions of other researchers
• Choose what path best suits your project.
Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis.
This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages.
The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
Whether you are just beginning your research journey or are a seasoned traveller, it helps you:
• Decide what you want to achieve with your research
• Know what options you have to explore your goals
• Navigate the nuances of different research approaches
• Understand the decisions of other researchers
• Choose what path best suits your project.
Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis.
This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages.
The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
"This is a must-have. Sigmund Grønmo's book provides a comprehensive and accessible introduction to contemporary social research approaches, designs and methods. This second edition includes timely and valuable new materials; particularly those on comparisons and combinations when collecting and analysing data. Like the first edition, this one will go straight to my reference bookshelf ... and onto all my major course reading lists."
Tartalomjegyzék:
Part I Researching Society
Chapter 1 How and why we study society
Chapter 2 Methods and methodologies in social science
Chapter 3 The ethics and politics of research
Part II Designing Social Research
Chapter 4 Creating research questions
Chapter 5 Doing a literature review
Chapter 6 Choosing a research design
Chapter 7 Finding sources and data
Chapter 8 Sampling
Part III Data Collection and Data Quality
Chapter 9 Ethnography and participant observation
Chapter 10 Structured observation
Chapter 11 Unstructured interviews and focus groups
Chapter 12 Questionnaires and surveys
Chapter 13 Documentary sources and qualitative content analysis
Chapter 14 Quantitative content analysis
Chapter 15 Collecting qualitative and quantitative data: Comparisons and combinations
Chapter 16 Data quality, reliability and validity
Part IV Data Analysis
Chapter 17 Qualitative data analysis: Coding, categorization and concept development
Chapter 18 Qualitative data analysis: Typologies, hypotheses and holistic understanding
Chapter 19 Quantitative data analysis: Indexes and distributions
Chapter 20 Quantitative data analysis: Relationships between variables
Chapter 21 Generalizing empirical findings
Chapter 22 Analyzing qualitative and quantitative data: Comparisons and combinations
Part V Asking and Answering Questions in Social Science
Chapter 23 Description, explanation and understanding
Chapter 24 Time, space and level
Chapter 25 Relations, networks and structures
Chapter 26 Big data and computational social science
Part VI Writing and Presenting Research
Chapter 27 Working with data visualization
Chapter 28 Writing about research
Chapter 1 How and why we study society
Chapter 2 Methods and methodologies in social science
Chapter 3 The ethics and politics of research
Part II Designing Social Research
Chapter 4 Creating research questions
Chapter 5 Doing a literature review
Chapter 6 Choosing a research design
Chapter 7 Finding sources and data
Chapter 8 Sampling
Part III Data Collection and Data Quality
Chapter 9 Ethnography and participant observation
Chapter 10 Structured observation
Chapter 11 Unstructured interviews and focus groups
Chapter 12 Questionnaires and surveys
Chapter 13 Documentary sources and qualitative content analysis
Chapter 14 Quantitative content analysis
Chapter 15 Collecting qualitative and quantitative data: Comparisons and combinations
Chapter 16 Data quality, reliability and validity
Part IV Data Analysis
Chapter 17 Qualitative data analysis: Coding, categorization and concept development
Chapter 18 Qualitative data analysis: Typologies, hypotheses and holistic understanding
Chapter 19 Quantitative data analysis: Indexes and distributions
Chapter 20 Quantitative data analysis: Relationships between variables
Chapter 21 Generalizing empirical findings
Chapter 22 Analyzing qualitative and quantitative data: Comparisons and combinations
Part V Asking and Answering Questions in Social Science
Chapter 23 Description, explanation and understanding
Chapter 24 Time, space and level
Chapter 25 Relations, networks and structures
Chapter 26 Big data and computational social science
Part VI Writing and Presenting Research
Chapter 27 Working with data visualization
Chapter 28 Writing about research
