Coverart for item
The Resource Designing Social Inquiry : Scientific Inference in Qualitative Research, (electronic resource)

Designing Social Inquiry : Scientific Inference in Qualitative Research, (electronic resource)

Label
Designing Social Inquiry : Scientific Inference in Qualitative Research
Title
Designing Social Inquiry
Title remainder
Scientific Inference in Qualitative Research
Creator
Contributor
Subject
Language
eng
Summary
While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
King, Gary
Dewey number
300.72
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Keohane, Robert O
  • Verba, Sidney
Series statement
ProQuest Ebook Central
http://library.link/vocab/subjectName
  • Social sciences
  • Social sciences
  • Inference
  • Qualitative research
Label
Designing Social Inquiry : Scientific Inference in Qualitative Research, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://EUI.eblib.com/patron/FullRecord.aspx?p=496205
Instantiates
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Contents
  • Cover; Contents; Preface; 1 The Science in Social Science; 1.1 Introduction; 1.1.1 Two Styles of Research, One Logic of Inference; 1.1.2 Defining Scientific Research in Social Sciences; 1.1.3 Science and Complexity; 1.2 Major Components of Research Design; 1.2.1 Improving Research Questions; 1.2.2 Improving Theory; 1.2.3 Improving Data Quality; 1.2.4 Improving the Use of Existing Data; 1.3 Themes of This Volume; 1.3.1 Using Observable Implications to Connect Theory and Data; 1.3.2 Maximizing Leverage; 1.3.3 Reporting Uncertainty
  • 1.3.4 Thinking like a Social Scientist: Skepticism and Rival Hypotheses2 Descriptive Inference; 2.1 General Knowledge and Particular Facts; 2.1.1 "Interpretation" and Inference; 2.1.2 "Uniqueness, " Complexity, and Simplification; 2.1.3 Comparative Case Studies; 2.2 Inference: the Scientific Purpose of Data Collection; 2.3 Formal Models of Qualitative Research; 2.4 A Formal Model of Data Collection; 2.5 Summarizing Historical Detail; 2.6 Descriptive Inference; 2.7 Criteria for Judging Descriptive Inferences; 2.7.1 Unbiased Inferences; 2.7.2 Efficiency; 3 Causality and Causal Inference
  • 3.1 Defining Causality3.1.1 The Definition and a Quantitative Example; 3.1.2 A Qualitative Example; 3.2 Clarifying Alternative Definitions of Causality; 3.2.1 "Causal Mechanisms"; 3.2.2 "Multiple Causality"; 3.2.3 "Symmetric" and "Asymmetric" Causality; 3.3 Assumptions Required for Estimating Causal Effects; 3.3.1 Unit Homogeneity; 3.3.2 Conditional Independence; 3.4 Criteria for Judging Causal Inferences; 3.5 Rules for Constructing Causal Theories; 3.5.1 Rule 1: Construct Falsifiable Theories; 3.5.2 Rule 2: Build Theories That Are Internally Consistent
  • 3.5.3 Rule 3: Select Dependent Variables Carefully3.5.4 Rule 4: Maximize Concreteness; 3.5.5 Rule 5: State Theories in as Encompassing Ways as Feasible; 4 Determining What to Observe; 4.1 Indeterminate Research Designs; 4.1.1 More Inferences than Observations; 4.1.2 Multicollinearity; 4.2 The Limits of Random Selection; 4.3 Selection Bias; 4.3.1 Selection on the Dependent Variable; 4.3.2 Selection on an Explanatory Variable; 4.3.3 Other Types of Selection Bias; 4.4 Intentional Selection of Observations; 4.4.1 Selecting Observations on the Explanatory Variable
  • 4.4.2 Selecting a Range of Values of the Dependent Variable4.4.3 Selecting Observations on Both Explanatory and Dependent Variables; 4.4.4 Selecting Observations So the Key Causal Variable Is Constant; 4.4.5 Selecting Observations So the Dependent Variable Is Constant; 4.5 Concluding Remarks; 5 Understanding What to Avoid; 5.1 Measurement Error; 5.1.1 Systematic Measurement Error; 5.1.2 Nonsystematic Measurement Error; 5.2 Excluding Relevant Variables: Bias; 5.2.1 Gauging the Bias from Omitted Variables; 5.2.2 Examples of Omitted Variable Bias; 5.3 Including Irrelevant Variables: Inefficiency
  • 5.4 Endogeneity
Control code
u390861
Dimensions
unknown
Extent
1 online resource (260 pages)
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781400821211
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Specific material designation
remote
System control number
  • 3000563
  • EBL496205
  • (OCoLC)854968390
Label
Designing Social Inquiry : Scientific Inference in Qualitative Research, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=http://EUI.eblib.com/patron/FullRecord.aspx?p=496205
Publication
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Contents
  • Cover; Contents; Preface; 1 The Science in Social Science; 1.1 Introduction; 1.1.1 Two Styles of Research, One Logic of Inference; 1.1.2 Defining Scientific Research in Social Sciences; 1.1.3 Science and Complexity; 1.2 Major Components of Research Design; 1.2.1 Improving Research Questions; 1.2.2 Improving Theory; 1.2.3 Improving Data Quality; 1.2.4 Improving the Use of Existing Data; 1.3 Themes of This Volume; 1.3.1 Using Observable Implications to Connect Theory and Data; 1.3.2 Maximizing Leverage; 1.3.3 Reporting Uncertainty
  • 1.3.4 Thinking like a Social Scientist: Skepticism and Rival Hypotheses2 Descriptive Inference; 2.1 General Knowledge and Particular Facts; 2.1.1 "Interpretation" and Inference; 2.1.2 "Uniqueness, " Complexity, and Simplification; 2.1.3 Comparative Case Studies; 2.2 Inference: the Scientific Purpose of Data Collection; 2.3 Formal Models of Qualitative Research; 2.4 A Formal Model of Data Collection; 2.5 Summarizing Historical Detail; 2.6 Descriptive Inference; 2.7 Criteria for Judging Descriptive Inferences; 2.7.1 Unbiased Inferences; 2.7.2 Efficiency; 3 Causality and Causal Inference
  • 3.1 Defining Causality3.1.1 The Definition and a Quantitative Example; 3.1.2 A Qualitative Example; 3.2 Clarifying Alternative Definitions of Causality; 3.2.1 "Causal Mechanisms"; 3.2.2 "Multiple Causality"; 3.2.3 "Symmetric" and "Asymmetric" Causality; 3.3 Assumptions Required for Estimating Causal Effects; 3.3.1 Unit Homogeneity; 3.3.2 Conditional Independence; 3.4 Criteria for Judging Causal Inferences; 3.5 Rules for Constructing Causal Theories; 3.5.1 Rule 1: Construct Falsifiable Theories; 3.5.2 Rule 2: Build Theories That Are Internally Consistent
  • 3.5.3 Rule 3: Select Dependent Variables Carefully3.5.4 Rule 4: Maximize Concreteness; 3.5.5 Rule 5: State Theories in as Encompassing Ways as Feasible; 4 Determining What to Observe; 4.1 Indeterminate Research Designs; 4.1.1 More Inferences than Observations; 4.1.2 Multicollinearity; 4.2 The Limits of Random Selection; 4.3 Selection Bias; 4.3.1 Selection on the Dependent Variable; 4.3.2 Selection on an Explanatory Variable; 4.3.3 Other Types of Selection Bias; 4.4 Intentional Selection of Observations; 4.4.1 Selecting Observations on the Explanatory Variable
  • 4.4.2 Selecting a Range of Values of the Dependent Variable4.4.3 Selecting Observations on Both Explanatory and Dependent Variables; 4.4.4 Selecting Observations So the Key Causal Variable Is Constant; 4.4.5 Selecting Observations So the Dependent Variable Is Constant; 4.5 Concluding Remarks; 5 Understanding What to Avoid; 5.1 Measurement Error; 5.1.1 Systematic Measurement Error; 5.1.2 Nonsystematic Measurement Error; 5.2 Excluding Relevant Variables: Bias; 5.2.1 Gauging the Bias from Omitted Variables; 5.2.2 Examples of Omitted Variable Bias; 5.3 Including Irrelevant Variables: Inefficiency
  • 5.4 Endogeneity
Control code
u390861
Dimensions
unknown
Extent
1 online resource (260 pages)
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781400821211
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Specific material designation
remote
System control number
  • 3000563
  • EBL496205
  • (OCoLC)854968390

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