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E-raamat: Systematically Working with Multimodal Data - Research Methods in Multimodal Discourse Analysis: Research Methods in Multimodal Discourse Analysis [Wiley Online]

(Auckland University of Technology, New Zealand)
  • Formaat: 336 pages
  • Ilmumisaeg: 19-Apr-2019
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 111916835X
  • ISBN-13: 9781119168355
Teised raamatud teemal:
  • Wiley Online
  • Hind: 61,27 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Formaat: 336 pages
  • Ilmumisaeg: 19-Apr-2019
  • Kirjastus: Wiley-Blackwell
  • ISBN-10: 111916835X
  • ISBN-13: 9781119168355
Teised raamatud teemal:

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.

  • Contains new research data, exceptional illustrations and diagrams
  • Offers step-by-step processes of working through examples, transcriptions and online videos
  • Goes into great depth so that students can use the book as hands-on material to engage with their own data analysis
  • Designed to be easy-to-use with color-coded definitions, tasks, discussion points and notes

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. 

List of Figures xvi
List of Tables xix
Acknowledgments xxi
About the Companion Website xxiii
Chapter 1 Introduction 1(24)
1.0 Introduction to the Book
3(16)
What This Book is About
3(1)
Systematically Working with Video Data: Phases I-V
4(13)
Chapter 1 Systematically Working with Multimodal Data: Introduction
4(1)
Chapter 2 Philosophical and Theoretical Background
5(1)
Chapter 3 Systematically Working with Multimodal Data Phase I
6(3)
Chapter 3.0 Phase I: Data Collection
7(1)
Chapter 3.1 Systematically Working with Small Data Sets/Data Pieces: Phase I
7(1)
Chapter 3.2 Systematically Working with Medium-Sized Data Sets: Phase I
8(1)
Chapter 3.3 Systematically Working with Large Data Sets: Phase I
9(1)
Chapter 4 Systematically Working with Video Data Phase II
9(3)
Chapter 4.0 Phase II: Delineating the Data
10(1)
Chapter 4.1 Systematically Working with Small Data Sets/Data Pieces: Phase II
10(1)
Chapter 4.2 Systematically Working with Medium-Sized Data Sets: Phase II
11(1)
Chapter 4.3 Systematically Working with Large Data Sets: Phase II
11(1)
Chapter 5 Systematically Working with Video Data Phase III
12(3)
Chapter 5.0 Phase III: Selecting Data Pieces for Micro analysis
12(1)
Chapter 5.1 Systematically Working with Small Data Sets/Data Pieces: Phase III
13(1)
Chapter 5.2 Systematically Working with Medium-Sized Data Sets: Phase III
13(1)
Chapter 5.3 Systematically Working with Large Data Sets: Phase III
14(1)
Chapter 6 Systematically Working with Video Data Phase IV
15(1)
Phase IV: Transcribing Data Using Multimodal Transcription Conventions
15(1)
Chapter 7 Systematically Working with Multimodal Data Phase V
16(1)
Phase V: Using Analytical Tools
16(1)
Chapter 8 Systematically Working with Multimodal Data
17(11)
A Quick Guide for Instructors
17(1)
How to Use This Book
17(2)
1.1 Brief Introduction to Multimodal Discourse Analysis
19(6)
Multimodal Discourse Analysis: Some Other Research
19(1)
Multimodal Discourse Analysis: Research Underpinning This Book
20(1)
Mediated Discourse Theory
21(1)
Philosophy and Theory
22(1)
Timing and Rhythm
23(2)
Chapter 2 Background 25(36)
2.0 Philosophical and Theoretical Background
27(23)
Philosophical Underpinnings
28(4)
Primacy of Perception
29(2)
Primacy of Embodiment
31(1)
Theoretical Underpinnings: One Principle, Two Sub-Principles
32(3)
The Principle of Social Action
32(1)
The Sub-Principle of Communication
33(1)
The Sub-Principle of History
34(1)
Principle and Sub-Principles: A Perfect Fit
35(1)
Multimodal Mediated Theory: Basic Theoretical Concepts
35(15)
Embodiment and Perception: Multimodal Mediated Theory
36(1)
Unit of Analysis: The Mediated Action
36(4)
Social Actors
37(1)
Mediational Means/Cultural Tools
37(1)
The Mediated Action
37(1)
Non-Human Social Actors
37(1)
Humans and Animals as Mediational Means
38(1)
Multiple Mediational Means/Cultural Tools in a Mediated Action
39(1)
Lower-Level Mediated Action
40(3)
Lower-Level Mediated Actions: Perception
41(1)
Lower-Level Mediated Actions: Embodiment
42(1)
Higher-Level Mediated Action
43(2)
Higher-Level Mediated Actions: Perception
44(1)
Higher-Level Mediated Actions: Embodiment
45(1)
Frozen Mediated Action
45(2)
Frozen Mediated Actions: Perception
46(1)
Frozen Mediated Actions: Embodiment
46(1)
Practices and Discourses
47(1)
Practice: Perception
48(1)
Practice: Embodiment
48(1)
Site of Engagement
48(3)
Site of Engagement: Perception
49(1)
Site of Engagement: Embodiment
49(1)
2.1 Development of Scollon's Philosophical Thought
50(11)
Scollon Referenced Vygotsky and Nishida
51(6)
Scollon and Vygotsky: Some Musings
51(2)
Scollon and Nishida: Some Musings
53(4)
Scollon's Theory: Some Musings
57(2)
Scollon's Practice: Some Musings
57(2)
Philosophical and Theoretical Background: Summary
59(4)
Philosophical and Theoretical Background - Things to Remember
60(1)
Chapter 3 Systematically Working with Multimodal Data Phase I 61(56)
3.0 Phase I: Data Collection
63(23)
So, Where Do We Begin?
64(1)
Phase I: Data Collection
64(18)
Step 1: Identifying a Theme or Topic
64(1)
Step 2: Developing Research Questions
65(1)
Step 3: Considerations Before Setting Out on Data Collection: What Is Data?
66(2)
Step 4: Considerations Before Setting Out on Data Collection: What Are Naturally Occurring Data?
68(1)
Step 5: Considerations Before Setting Out on Data Collection: Ethics
69(3)
Working with Participants: Consent
69(2)
Working with Participants: Informing Them About Your Findings
71(1)
Fair Use or Permissions: YouTube, TV, Movies
72(1)
Step 6: Video Recording and Camera Placement
72(7)
Limitations of Video Recording
73(1)
How Much Data Is Enough?
73(2)
Recording and Camera Placement
75(1)
Corpora
76(1)
A Common Reaction to Being Recorded
77(1)
Using Readily Available Video as Data: YouTube, TV, and Movies
77(2)
Step 7: Collecting Video Data, Taking Field Notes and Interviewing Participants
79(1)
Step 8: Producing a Data Collection Table
79(1)
Step 9: Identifying the Recording Equipment, the Researcher(s), Video Recorded (Inter)Action and Animals Recorded or Not Recorded
79(2)
Step 10: Collating and Time Stamping
81(1)
Collating and Synchronizing Videos
81(1)
Time Stamping Your Video Files
82(1)
Phase I: Summary
82(3)
Phase I: Data Collection - Things to Remember
83(2)
Research Projects
85(1)
3.1 Systematically Working with Small Data Sets/Data Pieces: Phase I Data Collection
86(7)
A Step-by-Step Guide to Analyze a YouTube Video
86(1)
Phase I: Data Collection
86(5)
Step 1: Identifying a Theme or Topic
87(1)
Step 2: Developing Research Questions
87(1)
Step 3: Considerations Before Setting Out on Data Collection: What Is Data?
87(1)
Step 4: Considerations Before Setting Out on Data Collection: What Are Naturally Occurring Data?
88(1)
Step 5: Considerations Before Setting Out on Data Collection: Ethics
88(1)
Step 6: Video Recording and Camera Placement
88(1)
Step 7: Collecting Video Data, Taking Field Notes and Interviewing Participants
89(1)
Step 8: Producing a Data Collection Table
90(1)
Step 9: Identifying the Researcher in Relation to the YouTube Video
91(1)
Phase I: Summary
91(2)
3.2 Systematically Working with Medium-Sized Data Sets: Phase I Data Collection
93(13)
A Step-by-Step Guide to Analyze Experimental Data
93(1)
Phase I: Data Collection
93(11)
Step 1: Identifying a Theme or Topic
94(1)
Step 2: Developing Research Questions
95(1)
Step 3: Considerations Before Setting Out on Data Collection: What Is Data?
95(1)
Step 4: Considerations Before Setting Out on Data Collection: What Are Naturally Occurring Data?
96(1)
Step 5: Considerations Before Setting Out on Data Collection: Ethics
96(1)
Step 6: Video Recording and Camera Placement
97(4)
Limitations of Video Recording
97(1)
How Much Data Is Enough?
98(1)
Camera Angle(s), Number of Cameras, and Camera Placement
99(2)
The Place of the Researcher
101(1)
Step 7: Collecting Video Data, Taking Field Notes and Interviewing Participants
101(1)
Step 8: Producing a Data Collection Table
102(1)
Step 9: Identifying the Recording Equipment, the Researcher(s), and the Video Recorded (Inter)Action
102(1)
Step 10: Collating and Time Stamping
103(1)
Phase I: Summary
104(2)
3.3 Systematically Working with Large Data Sets: Phase I Data Collection
106(11)
A Step-by-Step Guide to Analyze Video Ethnographic Data
106(1)
Phase I: Data Collection
106(9)
Step 1: Identifying a Theme or Topic
107(1)
Step 2: Developing Research Questions
108(1)
Step 3: Considerations Before Setting Out on Data Collection: What Is Data?
108(1)
Step 4: Considerations Before Setting Out on Data Collection: What Are Naturally Occurring Data?
109(1)
Step 5: Considerations Before Setting Out on Data Collection: Ethics
109(1)
Step 6: Video Recording and Camera Placement
110(2)
How Much Data Is Enough?
110(1)
Camera Angle(s), Number of Cameras, and Camera Placement
111(1)
The Place of the Researcher
111(1)
Step 7: Collecting Video Data, Taking Field Notes, and Interviewing Participants
112(1)
Step 8: Producing a Data Collection Table
113(1)
Step 9: Identifying the Recording Equipment, the Researcher(s), and the Video Recorded (Inter)action
113(1)
Step 10: Collating and Time Stamping
114(1)
Phase I: Summary
115(2)
Chapter 4 Systematically Working with Multimodal Data Phase II 117(42)
4.0 Phase II: Delineating the Data
119(10)
So, Where Do We Begin?
119(1)
Phase II: Delineating the Data
120(7)
Step 1: Identifying Your Data Set
121(2)
Step 2: Understanding the Site of Engagement That Includes the Researcher and the Data Set
123(1)
Step 3: Identifying a Data Piece
124(1)
Step 4: Understanding the Site of Engagement That Includes the Researcher and the Data Piece
125(1)
Step 5: Phrasing a Research Question That Encircles Your Data
126(1)
Phase II: Summary
127(2)
Phase II: Delineating Your Data - Things to Remember
127(2)
4.1 Systematically Working with Small Data Sets/Data Pieces: Phase II Delineating the Data
129(8)
A Step-by-Step Guide to Analyze a YouTube Video
129(1)
Phase II: Delineating the Data
129(6)
Step 1: Identifying Your Data Set
129(2)
Step 2: Understanding the Site of Engagement That Includes the Researcher and the Data Set
131(1)
Step 3: Identifying a Data Piece
132(1)
Step 4: Identifying the Site of Engagement That Embraces the Researcher/Viewer in Relation to the Data Piece
133(1)
Step 5: Phrasing a Research Question That Encircles Your Data
134(1)
Phase II: Summary
135(2)
4.2 Systematically Working with Medium-Sized Data Sets: Phase II Delineating the Data
137(11)
A Step-by-Step Guide to Analyze Experimental Data
137(1)
Phase II: Delineating the Data
137(9)
Step 1: Identifying Your Data Set
138(4)
Step 2: Understanding the Site of Engagement That Includes the Researcher and the Data Set
142(1)
Step 3: Identifying a Data Piece
143(1)
Step 4: Identifying the Site of Engagement That Embraces the Researcher in Relation to the Data Piece
144(1)
Step 5: Phrasing a Research Question That Encirlces Your Data
145(1)
Phase II: Summary
146(2)
4.3 Systematically Working with Large Data Sets: Phase II Delineating the Data
148(11)
A Step-by-Step Guide to Analyzing Video Ethnographic Data
148(1)
Phase II: Delineating the Data
148(9)
Step 1: Identifying Your Data Set
149(3)
Step 2: Understanding the Site of Engagement That Includes the Researcher and the Data Set
152(2)
Step 3: Identifying a Data Piece
154(1)
Step 4: Identifying the Site of Engagement That Embraces You, the Viewer/Researcher and the Data Piece
155(1)
Step 5: Phrasing a Research Question That Encircles Your Data
155(2)
Phase II: Summary
157(2)
Chapter 5 Systematically Working with Multimodal Data: Phase III 159(38)
5.0 Phase III: Selecting Data Pieces for Micro Analysis
161(9)
So, Where Do We Begin?
162(1)
Phase III: Selecting Data Pieces for Micro Analysis
162(6)
Step 1: The Mediated Action: Rephrasing Your General Research Question
163(1)
Step 2: Demarcating Higher-Level Mediated Actions
164(1)
Step 3: Developing an Overview of Higher-Level Mediated Actions in Your Data Set
165(2)
Step 4: Narrowing the Site of Engagement
167(1)
Site of Engagement as Window for Analysis
167(1)
Phase III: Summary
168(2)
Phase III: Selecting Data Pieces for Micro Analysis - Things to Remember
168(2)
5.1 Systematically Working with Small Data Sets/Data Pieces: Phase III Selecting Data Pieces for Micro Analysis
170(8)
A Step-by-Step Guide to Analyze a YouTube Video
170(1)
Phase III: Selecting Data Pieces for Micro Analysis
170(7)
Step 1: The Mediated Action: Rephrasing Your Data Driven Research Question
171(1)
Step 2: Demarcating Higher-Level Mediated Actions
172(2)
Step 3: Developing an Overview of Higher-Level Mediated Actions in Your Data Set
174(2)
Step 4: Selecting Data Pieces for Micro Analysis: Narrowing the Site of Engagement
176(1)
Phase III: Summary
177(1)
5.2 Systematically Working with Medium-Sized Data Sets: Phase III Selecting Data Pieces for Micro Analysis
178(9)
A Step-by-Step Guide to Analyze Experimental Data
178(1)
Phase III: Selecting Data Pieces for Micro Analysis
178(8)
Step 1: The Mediated Action: Rephrasing Your Data Driven Research Question
179(1)
Step 2: Demarcating Higher-Level Mediated Actions
180(3)
Step 3: Developing an Overview of Higher-Level Mediated Actions in Your Data Set
183(2)
Step 4: Selecting Data Pieces for Micro Analysis: Narrowing the Site of Engagement
185(1)
Phase III: Summary
186(1)
5.3 Systematically Working with Large Data Sets: Phase III Selecting Data Pieces for Micro Analysis
187(10)
A Step-by-Step Guide to Analyze Video Ethnographic Data
187(1)
Phase III: Selecting Data Pieces for Micro Analysis
187(8)
Step 1: The Mediated Action: Rephrasing Your Data Driven Research Question
188(1)
Step 2: Demarcating Higher-Level Mediated Actions
189(3)
Step 3: Developing an Overview of Higher-Level Mediated Actions in Your Data Set
192(2)
Step 4: Selecting Data Pieces for Micro Analysis - Narrowing the Site of Engagement
194(1)
Phase III: Summary
195(2)
Chapter 6 Systematically Working with Multimodal Data Phase IV 197(36)
6 Phase IV: Transcribing Data Using Multimodal Transcription Conventions
199(34)
So, Where Do We Begin?
200(1)
Phase IV: Transcribing Data Using Multimodal Transcription Conventions
201(29)
Step 1: Identifying a Mode
201(4)
Step 2: Transcribing Layout
205(4)
Step 3: Transcribing Proxemics
209(2)
Step 4: Transcribing Posture
211(3)
Step 5: Transcribing Gesture
214(3)
Step 6: Gaze
217(2)
Step 7: Transcribing Head Movement
219(3)
Step 8: Transcribing Facial Expression
222(2)
Step 9: Transcribing Object Handling
224(1)
Step 10: Transcribing Language
225(4)
Step 11: Producing a Final Transcript
229(1)
Phase IV: Summary
230(1)
Phase IV: Transcribing Data Using Multimodal Transcription Conventions - Things to Remember
230(3)
Chapter 7 Systematically Working with Multimodal Data Phase V 233(34)
7 Phase V: Using Analytical Tools
235(32)
Step 1: Selecting Analytical Tools for Micro Analysis
236(17)
Analytical Tool for Micro Analysis 1: The Lower-Level Mediated Action
236(2)
Analytical Tool for Micro Analysis 2: The Higher-Level Mediated Action
238(3)
Analytical Tool for Micro Analysis 3: The Frozen Mediated Action
241(1)
Analytical Tool for Micro Analysis 4: Modal Density
242(3)
Analytical Tool for Micro Analysis 5: Modal Configuration
245(2)
Analytical Tool for Micro Analysis 6: Modal Density Foreground- Background Continuum of Attention/Awareness
247(3)
Analytical Tool for Micro Analysis 7: Semantic/Pragmatic Means
250(3)
Step 2: Conducting a Micro Analysis by Utilizing Analytical Tools
253(4)
Utilizing Analytical Tool for Micro Analysis 1: The Lower-Level Mediated Action
253(1)
Utilizing Analytical Tool for Micro Analysis 2: The Higher-Level Mediated Action
254(1)
Utilizing Analytical Tool for Micro Analysis 3: The Frozen Mediated Action
254(1)
Utilizing Analytical Tool for Micro Analysis 4: Modal Density
255(1)
Utilizing Analytical Tool for Micro Analysis 5: Modal Configuration
255(1)
Utilizing Analytical Tool for Micro Analysis 6: Modal Density Foreground-Background Continuum of Attention/Awareness
256(1)
Utilizing Analytical Tool for Micro Analysis 7: Semantic/Pragmatic Means
256(1)
Step 3: Selecting Analytical Tools to Put Micro Analyses into a Larger Perspective
257(6)
Analytical Tool for Intermediate/Macro Analyses 1: Scales of Action
257(1)
Analytical Tool Set for Intermediate/Macro Analyses 2: Site of Engagement, Practices, and Discourses
258(2)
Analytical Tool for Intermediate/Macro Analyses 3: Natural Experienced Time Cycles and Rhythms
260(3)
Step 4: Putting Micro Analyses into a Larger Perspective by Utilizing Analytical Tools or Tool Sets for Intermediate/Macro Analyses
263(1)
Utilizing Analytical Tool for Intermediate/Macro Analyses 1: Scales of Action
263(1)
Utilizing Analytical Tool Set for Intermediate/Macro Analyses 2: Site of Engagement, Practices, and Discourses
263(1)
Utilizing Analytical Tool or Intermediate/Macro Analyses 3: Natural Experienced Time Cycles and Rhythms
264(1)
Phase V: Summary
264(5)
Phase V: Using Analytical Tools - Things to Remember
265(2)
Chapter 8 Systematically Working with Multimodal Data: Guides for Instructors 267(10)
8 A Quick Guide for Instructors
269(8)
A Quick Guide for Undergraduate-Class Instructors
270(2)
A Quick Guide for Graduate-Course Instructors
272(2)
A Quick Guide for PhD Seminar Instructors and Research Team Leaders
274(3)
References 277(19)
Index 296
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).