ISBN-13: 9781119168317 / Angielski / Twarda / 2019 / 336 str.
ISBN-13: 9781119168317 / Angielski / Twarda / 2019 / 336 str.
A guide that offers a step–by–step process to data–driven qualitative multimodal discourse analysis
Systematically Working with Multimodal Data is a hands–on guide that is theoretically grounded and offers a step–by–step process to clearly show how to do a data–driven qualitative Multimodal Discourse Analysis (MDA).
List of Figures
List of Tables
Acknowledgements
About the Companion Website
Chapter 1
Chapter 1.0
What this book is about
Systematically working with video data: Phases I–V
Chapter 1: Systematically working with multimodal data: Introduction
Chapter 2: Philosophical and theoretical background
Chapter 3: Systematically working with multimodal data Phase I
Chapter 3.0: Phase I: Data collection
Chapter 3.1: Systematically working with small data sets/data pieces: Phase I
Chapter 3.2: Systematically working with medium–sized data sets: Phase I
Chapter 3.3: Systematically working with large data sets: Phase I
Chapter 4: Systematically working with video data Phase II
Chapter 4.0: Phase II: Delineating the data
Chapter 4.1: Systematically working with small data sets/data pieces: Phase II
Chapter 4.2: Systematically working with a medium–sized data set: Phase II
Chapter 4.3: Systematically working with a large data set: Phase II
Chapter 5: Systematically working with video data Phase III
Chapter 5.0: Phase III: Selecting data pieces for microanalysis
Chapter 5.1: Systematically working with small data sets/data pieces: Phase III
Chapter 5.2: Systematically working with medium–sized data sets: Phase III
Chapter 5.3: Systematically working with large data sets: Phase III
Chapter 6: Systematically working with video data Phase IV
Phase IV: Transcribing data using multimodal transcription conventions
Chapter 7: Systematically working with multimodal data Phase V
Phase V: Using analytical tools
Chapter 8: Systematically working with multimodal data
Chapter 1.1
Multimodal discourse analysis: Some other research
Multimodal discourse analysis: Research underpinning this book
Mediated discourse theory
Philosophy and theory
Timing and rhythm
Chapter 2
Chapter 2.0
Philosophical underpinnings
Primacy of perception
Primacy of embodiment
Theoretical Underpinnings: One Principle, two sub–principles
The principle of social action
The sub–principle of communication
The sub–principle of history
Principle and sub–principles: A perfect fit
Multimodal mediated theory: Basic theoretical concepts
Embodiment & perception: Multimodal mediated theory
Unit of analysis: The mediated action
Social actors
Mediational means/cultural tools
The mediated action
Non–human social actors
Humans and animals as mediational means
Multiple mediational means/cultural tools in a mediated action
Lower–level mediated action
Lower–level mediated actions: Perception
Lower–level mediated actions: Embodiment
Higher–level mediated action
Higher–level mediated actions: Perception
Higher–level mediated actions: Embodiment
Frozen mediated action
Frozen mediated actions: Perception
Frozen mediated actions: Embodiment
Practices and Discourses
Practice: Perception
Practice: Embodiment
Site of engagement
Site of engagement: Perception
Site of engagement: Embodiment
Chapter 2.1
Scollon referenced Vygotsky and Nishida
Scollon & Vygotsky: Some musings
Scollon & Nishida: Some musings
Scollon s theory: Some musings
Scollon s practice: Some musings
Philosophical and theoretical background: Summary
Philosophical and theoretical background: Things to remember
Chapter 3
Chapter 3.0
So, where do we begin?
Phase I: Data collection
Step 1: Identifying a theme or topic
Step 2: Developing research questions
Step 3: Considerations before setting out on data collection: What is data?
Step 4: Considerations before setting out on data collection: What are naturally occurring data?
Step 5: Considerations before setting out on data collection: Ethics
Step 6: Video recording and camera placement
Step 7: Collecting video data, taking field notes & interviewing participants
Step 8: Producing a data collection table
Step 9: Identifying the recording equipment, the researcher(s), video recorded (inter)action and animals recorded or not recorded
Step 10: Collating and time stamping
Phase I: Summary
Phase I Data collection: Things to remember
Chapter 3.1
A Step–by–Step guide to analyze a YouTube video
Phase I: Data collection
Step 1: Identifying a theme or topic
Step 2: Developing research questions
Step 3: Considerations before setting out on data collection: What is data?
Step 4: Considerations before setting out on data collection: What are naturally occurring data?
Step 5: Considerations before setting out on data collection: Ethics
Step 6: Video recording and camera placement
Step 7: Collecting video data, taking field notes & interviewing participants
Step 8: Producing a data collection table
Step 9: Identifying the researcher in relation to the YouTube video
Phase I: Summary
Chapter 3.2
A Step–by–Step guide to analyze experimental data
Phase I: Data collection
Step 1: Identifying a theme or topic
Step 2: Developing research questions
Step 3: Considerations before setting out on data collection: What is data?
Step 4: Considerations before setting out on data collection: What are naturally occurring data?
Step 5: Considerations before setting out on data collection: Ethics
Step 6: Video recording and camera placement
Step 7: Collecting video data, taking field notes & interviewing participants
Step 8: Producing a data collection table
Step 9: Identifying the recording equipment, the researcher(s), and the video recorded (inter)action
Step 10: Collating and time stamping
Phase I: Summary
Chapter 3.3
A Step–by–Step guide to analyze video ethnographic data
Phase I: Data collection
Step 1: Identifying a theme or topic
Step 2: Developing research questions
Step 3: Considerations before setting out on data collection: What is data?
Step 4: Considerations before setting out on data collection: What are naturally occurring data?
Step 5: Considerations before setting out on data collection: Ethics
Step 6: Video recording and camera placement
Step 7: Collecting video data, taking field notes & interviewing participants
Step 8: Producing a data collection table
Step 9: Identifying the recording equipment, the researcher(s), and the video recorded (inter)action
Step 10: Collating and time stamping
Phase I: Summary
Chapter 4
Chapter 4.0
So, where do we begin?
Phase II: Delineating the data
Step 1: Identifying your data set
Step 2: Understanding the site of engagement that includes the researcher and the data set
Step 3: Identifying a data piece
Step 4: Understanding the site of engagement that includes the researcher and the data piece
Step 5: Phrasing a research question that encircles your data
Phase II: Summary
Phase II Delineating your data: Things to remember
Chapter 4.1
A Step–by–Step guide to analyze a YouTube video
Phase II: Delineating the data
Step 1: Identifying your data set
Step 2: Understanding the site of engagement that includes the researcher and the data set
Step 3: Identifying a data piece
Step 4: Identifying the site of engagement that embraces the researcher/viewer in relation to the data piece
Step 5: Phrasing a research question that encircles your data
Phase II: Summary
Chapter 4.2
A Step–by Step guide to analyze experimental data
Phase II: Delineating your data
Step 1: Identifying your data set
Step 2: Understanding the site of engagement that includes the researcher and the data set
Step 3: Identifying a data piece
Step 4: Identifying the site of engagement that embraces the researcher in relation to the data piece
Step 5: Phrasing a research question that encircles your data
Phase II: Summary
Chapter 4.3
A Step–by Step guide to analyze video ethnographic data
Phase II: Delineating your data
Step 1: Identifying your data set
Step 2: Understanding the site of engagement that includes the researcher and the data set
Step 3: Identifying a data piece
Step 4: Identifying the site of engagement that embraces you, the viewer/researcher and the data piece
Step 5: Phrasing a research question that encircles your data
Phase II: Summary
Chapter 5
Chapter 5.0
So, where do we begin?
Phase III: Selecting data pieces for analysis
Step 1: The MEDIATED ACTION: Re–phrasing your general research question
Step 2: Demarcating higher–level mediated actions
Step 3: Developing an overview of higher–level mediated actions in your data
Step 4: Narrowing the site of engagement
Phase III: Summary
Phase III Selecting data pieces for micro analysis: Things to remember
Chapter 5.1
A Step–by–Step guide to analyze a YouTube video
Phase III:Selecting data pieces for micro analysis
Step 1: The MEDIATED ACTION: Re–phrasing your data–driven research question
Step 2: Demarcating higher–level mediated actions
Step 3: Developing an overview of higher–level mediated actions in your data
Step 4: Selecting data pieces for microanalysis: Narrowing the site of engagement
Phase III: Summary
Chapter 5.2
A Step–by Step guide to analyze experimental data
Phase III: Selecting data pieces for micro analysis
Step 1: The MEDIATED ACTION: Re–phrasing your data–driven research question
Step 2: Demarcating higher–level mediated actions
Step 3: Developing an overview of higher–level actions in your data
Step 4: Selecting data pieces for microanalysis: Narrowing the site of engagement
Phase III: Summary
Chapter 5.3
A Step–by–Step guide to analyze video ethnographic data
Phase III: Selecting data pieces for micro analysis
Step 1: The MEDIATED ACTION: Re–phrasing your data–driven research question
Step 2: Demarcating higher–level mediated actions
Step 3: Developing an overview of higher–level mediated actions in your data
Step 4: Selecting data pieces for microanalysis: Narrowing the site of engagement
Phase III: Summary
Chapter 6
So, where do we begin?
Phase IV: Transcribing data using multimodal transcription conventions
Step 1: Identifying a mode
Step 2: Transcribing Layout
Step 3: Transcribing Proxemics
Step 4: Transcribing Posture
Step 5: Transcribing Gesture
Step 6: Gaze
Step 7: Transcribing head movement
Step 8: Transcribing Facial expression
Step 9: Transcribing object handling
Step 10: Transcribing Language
Step 11: Producing a final transcript
Phase IV: Summary
Phase IV Transcribing data using multimodal transcription conventions: Things to remember
Chapter 7
Phase V: Using analytical tools
Step 1: Selecting analytical tools for micro analysis
Chapter 8
A quick guide for instructors of undergraduate classes
Chapter 3.0 from Phase I: Data collection onwards & Chapter 3.1
Chapter 4.0 & Chapter 4.1
Chapter 5.0 & Chapter 5.1
Chapter 6
Chapter 7
A quick guide for instructors of graduate courses
Chapter 1 from Multimodality: Some other research onward
Chapter 2 up to and including the section on the site of engagement
Chapter 3.0 & Chapter 3.2
Chapter 4.0 & Chapter 4.2
Chapter 5.0 & Chapter 5.2
Chapter 6
Chapter 7
A quick guide for instructors of PhD seminars and research team leaders
Chapter 1 from Multimodality: Some other research onward
Chapter 2
Chapter 3.0 & Chapter 3.3
Chapter 4.0 & Chapter 4.3
Chapter 5.0 & Chapter 5.3
Chapter 6
Chapter 7
Sigrid Norris is Professor of Multimodal (Inter)action and Director of the AUT Multimodal Research Centre at Auckland University of Technology, New Zealand. She is editor of the international journal Multimodal Communication and author of Analyzing Multimodal Interaction (2004)and Identity in (Inter)action: Introducing Multimodal (Inter)action Analysis (2011).
A guide that offers a step–by–step process to data–driven qualitative multimodal discourse analysis
Systematically Working with Multimodal Data is a hands–on guide that is theoretically grounded and offers a step–by–step process to clearly show how to do a data–driven qualitative Multimodal Discourse Analysis (MDA). This full–color introductory textbook is filled with helpful definitions, notes, discussion points and tasks. With illustrative research examples from YouTube, an Experimental and a Video Ethnographic Study, the text offers many examples of how to deal with small to large amounts of data, including information on how to transcribe video data multimodally, including online videos, and how to analyze the data.
This textbook contains ample theory, directions for literature, and a teaching guide to help with a clear understanding of how to work with multimodal data.
Written for advanced undergraduate, graduate and PhD level students, as well as participants in research workshops, Systematically Working with Multimodal Data is an authoritative guide to understanding data–driven qualitative Multimodal Discourse Analysis.
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