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Informationen zum Autor Anne Nassauer is a sociologist with a research focus on interactions, deviant and collective behavior, and the use of 21st century video data for scientific inquiry. Her research lies at the intersection between sociology, social psychology, and criminology. She often combines Video Data Analysis and interdisciplinary theoretical perspectives with the ultimate goal to better understand social processes and interaction. Nicolas M. Legewie’s research focuses on the impact of social networks on social inequality and mobility. He also does extensive work on research methodology, with a focus on Video Data Analysis, mixed methods, digital social science research, and research ethics. Klappentext This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way. Inhaltsverzeichnis Part I: Novel Opportunities Chapter 1: The Rise of Video Data in Social Science Research A New Era Novel Opportunities Chapter 2: Video Data Analysis - A multidisciplinary Framework What is Video Data Analysis? What makes video data unique? What are limitations of video data and VDA? Part II: Conducting Video Data Analysis Chapter 3: Step 1 - Theoretical Perspectives, Object of Analysis, and Analytical Lens Choosing the theoretical perspective Reflecting on the object of study Selecting facets of analytical dimensions Chapter 4: Step 2 - Ethical Considerations What is research ethics? Research Ethics and Video Data Analysis Assessing a VDA Study from an Ethical Standpoint Chapter 5: Step 3 - Data Collection and Management Case Selection and Validity in VDA Collecting Custom-Made Data Collecting Ready-Made Data Triangulation Data Management Chapter 6: Step 4 - Analyzing Video Data Coding and concepts Timing and sequence Counts and quantifications Rhythm and turn-taking Studying Actors Social relations and networks Spacing Additional analytical tools Chapter 7: Step 5 - Presentation of Findings How was the presented data collected? Where do you present your VDA findings? Part III: Future Developments in VDA Chapter 8: Video Data Analysis and Computer Vision Computer vision in a nutshell How can computer vision help VDA? What are main challenges? Chapter 9: Conclusion: The Future of Video Data in Social Science Research Looking ahead The Dawn of Video Data Analysis ...
List of contents
Part I: Novel Opportunities
Chapter 1: The Rise of Video Data in Social Science Research
A New Era
Novel Opportunities
Chapter 2: Video Data Analysis - A multidisciplinary Framework
What is Video Data Analysis?
What makes video data unique?
What are limitations of video data and VDA?
Part II: Conducting Video Data Analysis
Chapter 3: Step 1 - Theoretical Perspectives, Object of Analysis, and Analytical Lens
Choosing the theoretical perspective
Reflecting on the object of study
Selecting facets of analytical dimensions
Chapter 4: Step 2 - Ethical Considerations
What is research ethics?
Research Ethics and Video Data Analysis
Assessing a VDA Study from an Ethical Standpoint
Chapter 5: Step 3 - Data Collection and Management
Case Selection and Validity in VDA
Collecting Custom-Made Data
Collecting Ready-Made Data
Triangulation
Data Management
Chapter 6: Step 4 - Analyzing Video Data
Coding and concepts
Timing and sequence
Counts and quantifications
Rhythm and turn-taking
Studying Actors
Social relations and networks
Spacing
Additional analytical tools
Chapter 7: Step 5 - Presentation of Findings
How was the presented data collected?
Where do you present your VDA findings?
Part III: Future Developments in VDA
Chapter 8: Video Data Analysis and Computer Vision
Computer vision in a nutshell
How can computer vision help VDA?
What are main challenges?
Chapter 9: Conclusion: The Future of Video Data in Social Science Research
Looking ahead
The Dawn of Video Data Analysis
Report
The book is beneficial for both beginning and advanced researchers in social sciences seeking an introduction to video data analysis. It addresses issues arising at various stages of a research project, helps with conceptualization, considers important questions to think about, and provides tools for analyzing video data. Astrid Schulz 20210526
