The Resource Analysis and interpretation of ethnographic data : a mixed methods approach, Margaret D. LeCompte and Jean J. Schensul, (electronic resource)

Analysis and interpretation of ethnographic data : a mixed methods approach, Margaret D. LeCompte and Jean J. Schensul, (electronic resource)

Label
Analysis and interpretation of ethnographic data : a mixed methods approach
Title
Analysis and interpretation of ethnographic data
Title remainder
a mixed methods approach
Statement of responsibility
Margaret D. LeCompte and Jean J. Schensul
Title variation
Analysis & interpretation of ethnographic data
Creator
Contributor
Provider
Subject
Genre
Language
eng
Member of
Cataloging source
E7B
http://library.link/vocab/creatorName
LeCompte, Margaret Diane
Illustrations
illustrations
Index
index present
LC call number
GN345
LC item number
.L42 2013eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • ebrary
  • Schensul, Jean J
Series statement
Ethnographer's toolkit, second edition
Series volume
5
http://library.link/vocab/subjectName
  • Ethnology
  • Cross-cultural studies
  • Cross-cultural studies
  • Ethnology
Label
Analysis and interpretation of ethnographic data : a mixed methods approach, Margaret D. LeCompte and Jean J. Schensul, (electronic resource)
Instantiates
Publication
Note
Previous title: Analyzing and interpreting ethnographic data
Bibliography note
Includes bibliographical references and index
Contents
Machine generated contents note: ch. 1 Why Are Analysis and Interpretation Necessary? -- Why Are Analysis and Interpretation Necessary? -- What Are Qualitative Data? -- What Are Quantitative Data? -- What Is Analysis? -- What Is Interpretation? How Research Results Become Complete Ethnographies -- Summary -- ch. 2 Analysis in the Field -- Recursivity in Ethnographic Research and Analysis -- Initial Analysis in the Field -- Inscription and Head Notes -- Description, Scratch Notes, and Field Notes -- Transcription, Recording, "Copying," and Scripting -- Summary -- ch. 3 Tidying Up, Cataloging, and Creating Data Inventories -- Steps in Organizing and Cataloging Data -- Steps in Tidying Up -- Reasons for Tidying Up -- Summary -- ch. 4 Recursivity, Induction and Deduction: Moving between Levels of Abstraction -- Recursivity Reviewed -- Induction, Deduction, and Levels of Abstraction -- Moving between Levels of Abstraction: From Concrete to Abstract and Back -- Generating Explanations: From Local to Substantive Theories and Back -- Summary -- ch. 5 Ways to Begin Analysis -- A Common Stereotype -- Initiating an Analysis -- General Coding and Specific Coding -- Beginning with Formative Theories -- The Recursive Process Again -- How Results Emerge from Data -- Emergence and Cognitive Processing: How Does It Begin? -- Aggregating and Disaggregating Phenomena: Finding the Pieces and Explaining Why and How They Go Together -- Defining the Item and Variable Level of Analysis -- Some Analytic Strategies -- Summary -- ch. 6 Specific Coding and Initial Quantification -- Beginning with General Levels and Moving to More Specific Levels of Aggregation and Disaggregation -- What Is a Code? -- What Do Qualitative Codes Look Like? -- Other Characteristics of Codes -- Where Do Codes Come From? -- Precoded Data -- Kinds of Codes or Categories -- Limitations of Coding -- Summary -- ch. 7 Coding and Creating Qualitative and Quantitative Codebooks -- Creating Initial Codes in Ethnographic Research -- Creating Qualitative Codebooks -- What Is a Codebook? -- Creating Quantitative Codebooks -- Team Ethnography and Coding in Teams: Deductive, Abductive or Recursive, and Inductive Coding -- Using a Computer to Code Data -- Summary -- ch. 8 Managing Qualitative and Quantitative Data with Computers -- How Computers Facilitate the Organization and Storage of Text Data -- What Computers Cannot Do -- Using Computers to Code, Manage, and Analyze Qualitative Text Data -- Selecting Data Entry and Analysis Hardware and Software -- Developing a Data Entry System -- Entering Data -- Constructing New Variables -- Developing the Structure for a Quantitative Database -- Data Management -- Consolidating Quantitative Data (Data Reduction or "Crunching") -- Summary -- ch. 9 Analyzing Ethnographically Based Survey Data -- Introduction: Why Do Ethnographers Use Surveys? -- How Ethnographic Surveys Differ from Other Surveys -- Logical Processes: Returning to the Original Research Questions and Formative Model -- What Are Variables? -- Steps in Describing Ethnographic Survey Data -- Integrating Qualitative and Quantitative Data -- Resolving Differences between Quantitative and Qualitative Results -- Summary -- ch. 10 Creating Preliminary Results: Putting Parts Together -- Creating More Complex Data Patterns and Explanations -- The Pattern Level of Analysis: Linking Related Groups of Items and Units Together and Identifying Related Explanatory Variables and Factors -- How Do Patterns Emerge from Data? -- Grouping Patterns within Domains to Create Structures and Substantive Theories -- Summary -- ch. 11 Fine-Tuning Results and Beginning the Write-Up -- Strategies for Getting Started -- Reexamine the Theoretical Framework -- Review the Research Questions -- Create Some Vignettes -- Write Some History -- Describe a Social Process -- Create Summaries of Interview Data -- Create Summaries of Test Score or Precoded Survey or Questionnaire Data -- Create Collections of Quotations from Documents or Interviews -- Create or Refine a Conceptual Framework and Draw a Graphic Picture of It -- Use Standard Narrative Form -- Borrow a Narrative Form from the People Being Studied -- Develop a Metaphor -- Describe the Functions or Organizational Structure of a Group -- Write Up the Critical Events in Chronological Order -- Make a List of the Most Important Empirical Facts -- Create a Display, or, When in Doubt, Draw a Picture! -- Summary -- ch. 12 Creating Interpretations -- Introduction: Strategies for Initiating Interpretation of Research Results -- Brainstorm and Speculate with Research Partners -- Review the Research Questions -- Review the Formative Ethnographic Theory Used -- Review the Relevant Theories -- Repeat the Analytic Strategies That Produced Research Results -- Present a Contrasted Insider and Outsider Perspective -- Look for Program Relevance -- Look for Policy Relevance -- Evaluate the Project -- Consider the Audience -- Summary -- References
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xx, 338 p. :)
Form of item
online
Other physical details
ill.
Specific material designation
remote
System control number
  • (OCoLC)849447690
  • (OCoLC)ocn849447690
Label
Analysis and interpretation of ethnographic data : a mixed methods approach, Margaret D. LeCompte and Jean J. Schensul, (electronic resource)
Publication
Note
Previous title: Analyzing and interpreting ethnographic data
Bibliography note
Includes bibliographical references and index
Contents
Machine generated contents note: ch. 1 Why Are Analysis and Interpretation Necessary? -- Why Are Analysis and Interpretation Necessary? -- What Are Qualitative Data? -- What Are Quantitative Data? -- What Is Analysis? -- What Is Interpretation? How Research Results Become Complete Ethnographies -- Summary -- ch. 2 Analysis in the Field -- Recursivity in Ethnographic Research and Analysis -- Initial Analysis in the Field -- Inscription and Head Notes -- Description, Scratch Notes, and Field Notes -- Transcription, Recording, "Copying," and Scripting -- Summary -- ch. 3 Tidying Up, Cataloging, and Creating Data Inventories -- Steps in Organizing and Cataloging Data -- Steps in Tidying Up -- Reasons for Tidying Up -- Summary -- ch. 4 Recursivity, Induction and Deduction: Moving between Levels of Abstraction -- Recursivity Reviewed -- Induction, Deduction, and Levels of Abstraction -- Moving between Levels of Abstraction: From Concrete to Abstract and Back -- Generating Explanations: From Local to Substantive Theories and Back -- Summary -- ch. 5 Ways to Begin Analysis -- A Common Stereotype -- Initiating an Analysis -- General Coding and Specific Coding -- Beginning with Formative Theories -- The Recursive Process Again -- How Results Emerge from Data -- Emergence and Cognitive Processing: How Does It Begin? -- Aggregating and Disaggregating Phenomena: Finding the Pieces and Explaining Why and How They Go Together -- Defining the Item and Variable Level of Analysis -- Some Analytic Strategies -- Summary -- ch. 6 Specific Coding and Initial Quantification -- Beginning with General Levels and Moving to More Specific Levels of Aggregation and Disaggregation -- What Is a Code? -- What Do Qualitative Codes Look Like? -- Other Characteristics of Codes -- Where Do Codes Come From? -- Precoded Data -- Kinds of Codes or Categories -- Limitations of Coding -- Summary -- ch. 7 Coding and Creating Qualitative and Quantitative Codebooks -- Creating Initial Codes in Ethnographic Research -- Creating Qualitative Codebooks -- What Is a Codebook? -- Creating Quantitative Codebooks -- Team Ethnography and Coding in Teams: Deductive, Abductive or Recursive, and Inductive Coding -- Using a Computer to Code Data -- Summary -- ch. 8 Managing Qualitative and Quantitative Data with Computers -- How Computers Facilitate the Organization and Storage of Text Data -- What Computers Cannot Do -- Using Computers to Code, Manage, and Analyze Qualitative Text Data -- Selecting Data Entry and Analysis Hardware and Software -- Developing a Data Entry System -- Entering Data -- Constructing New Variables -- Developing the Structure for a Quantitative Database -- Data Management -- Consolidating Quantitative Data (Data Reduction or "Crunching") -- Summary -- ch. 9 Analyzing Ethnographically Based Survey Data -- Introduction: Why Do Ethnographers Use Surveys? -- How Ethnographic Surveys Differ from Other Surveys -- Logical Processes: Returning to the Original Research Questions and Formative Model -- What Are Variables? -- Steps in Describing Ethnographic Survey Data -- Integrating Qualitative and Quantitative Data -- Resolving Differences between Quantitative and Qualitative Results -- Summary -- ch. 10 Creating Preliminary Results: Putting Parts Together -- Creating More Complex Data Patterns and Explanations -- The Pattern Level of Analysis: Linking Related Groups of Items and Units Together and Identifying Related Explanatory Variables and Factors -- How Do Patterns Emerge from Data? -- Grouping Patterns within Domains to Create Structures and Substantive Theories -- Summary -- ch. 11 Fine-Tuning Results and Beginning the Write-Up -- Strategies for Getting Started -- Reexamine the Theoretical Framework -- Review the Research Questions -- Create Some Vignettes -- Write Some History -- Describe a Social Process -- Create Summaries of Interview Data -- Create Summaries of Test Score or Precoded Survey or Questionnaire Data -- Create Collections of Quotations from Documents or Interviews -- Create or Refine a Conceptual Framework and Draw a Graphic Picture of It -- Use Standard Narrative Form -- Borrow a Narrative Form from the People Being Studied -- Develop a Metaphor -- Describe the Functions or Organizational Structure of a Group -- Write Up the Critical Events in Chronological Order -- Make a List of the Most Important Empirical Facts -- Create a Display, or, When in Doubt, Draw a Picture! -- Summary -- ch. 12 Creating Interpretations -- Introduction: Strategies for Initiating Interpretation of Research Results -- Brainstorm and Speculate with Research Partners -- Review the Research Questions -- Review the Formative Ethnographic Theory Used -- Review the Relevant Theories -- Repeat the Analytic Strategies That Produced Research Results -- Present a Contrasted Insider and Outsider Perspective -- Look for Program Relevance -- Look for Policy Relevance -- Evaluate the Project -- Consider the Audience -- Summary -- References
Dimensions
unknown
Edition
2nd ed.
Extent
1 online resource (xx, 338 p. :)
Form of item
online
Other physical details
ill.
Specific material designation
remote
System control number
  • (OCoLC)849447690
  • (OCoLC)ocn849447690

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