Analyzing Streams of Language : Twelve Steps to the Systematic Coding of Text, Talk, and Other Verbal Data / Edition 1

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Product Details

  • ISBN-13: 9780321165107
  • Publisher: Pearson
  • Publication date: 8/28/2003
  • Edition number: 1
  • Pages: 256
  • Product dimensions: 6.90 (w) x 8.90 (h) x 0.50 (d)

Table of Contents

“Objectives” and “For Further Reading” at the beginning and end of every chapter.

Preface.


What Is Verbal Data?


What Verbal Data Can Tell You.


About This Book.


Philosophical Perspectives.


Comparison to Other Approaches.


How to Use This Book.


Why This Book.



1. Anchoring in the Literature.


1.1 Overview.


1.2 Finding an Anchor Point.


1.3 Using a Cited Reference Search.


1.4 Using a Bibliographic Database.


1.5 Choosing a Good Anchor.


1.6 Reverse Engineering.


Project: Reverse Engineering Your Literature.



2. Designing the Analysis.


2.1 Introduction to the Design of Analysis.


2.2 Constructing a Descriptive Framework.


2.3 Articulating Research Questions.


2.4 Defining the Focus for Analysis.


2.5 Sampling Cases.


2.6 Building in Comparisons.


2.7 Selecting a Random Sample.


2.8 Setting up a Data Workbook.


2.9 Setting up a Data Table.


Project: Designing Your Analysis.



3. Segmenting the Data.


3.1 Analyzing the Stream of Language.


3.2 Basic Units of Language.


3.3 Units in Conversation.


3.4 Units in Text.


3.5 Units in Interviews.


3.6 Units in Electronic Interactions.


3.7 Procedures for Segmentation.


3.8 Issues in Segmenting.


Project: Segmenting Your Data.



4. Coding the Data.


4.1 Coding Schemes.


4.2 Getting Reading to Code.


4.3 Revising a Coding Scheme.


4.4 Techniques for Inspecting Coding.


4.5 Techniques for Automated Coding.


4.6 Some Complex Coding Situations.


4.7 Enumerative Coding Schemes.


Project: Coding Your Data.



5. Achieving Reliability.


5.1 Understanding Reliability.


5.2 Managing the Second Coding.


5.3 Calculating Agreement.


5.4 Interpreting the Results.


5.5 Revising Your Analytic Procedures.


5.6 Finalizing Reliability.


Project: Achieving Reliability.



6. Calculating Frequency.


6.1 The Frequency Table.


6.2 Naming Data.


6.3 Defining Criteria.


6.4 Calculating Frequencies.


6.5 Calculating Marginals.


6.6 Calculating Relative Frequency.


Project: Calculating Freqency.



7. Seeing Patterns of Distribution.


7.1 Distribution.


7.2 Graphing Distribution.


7.3 Interpreting Distribution Patterns.


7.4 Refining Patterns Across Cases.


7.5 Refining Patterns Across Categories.


Project: Patterns of Distribution.



8. Exploring Patterns Across Dimensions.


8.1 Understanding Dimensions.


8.2 Building the Core Contingency Tables.


8.3 Graphing Dimensions.


8.4 Characterizing Dimensions.


8.5 Checking Patterns Across Contrast.


8.6 Checking Patterns Across Dimensions.


8.7 Checking Patterns Across Cases.


8.8 Putting It All Together.


Project: Patterns Across Dimensions.



9. Following Patterns over Time.


9.1 The Concept of Time.


9.2 Indexing in Time.


9.3 Aggregating in Time.


9.4 Exploring Aggregate Patterns.


Project: Patterns over Time.



10. Evaluating Significance.


10.1 The Concept of Significance.


10.2 The x2 Test of the Homogeneity of Distributional Variation.


10.3 The x2 Test of the Independence of Dimensional Variation.


10.4 The x2 Test of Temporal Variation.


10.5 Restrictions on the x2 Test.


Project: Measuring Significance.



11. Detailing Results.


11.1 The Importance of Detailing.


11.2 Areas for Detailing.


11.3 Locating Detail.


Project: Detailing Results.



12. Presenting Results.


12.1 Basics of a Full Accounting.


12.2 Options in Placement.


12.3 Options in Timing.


12.4 Maxims of Presentation.


12.5 Techniques of Presentation.


Project: Presenting Your Results.

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