Designing social inquiry : scientific inference in qualitative research /
por Gary King, Robert O. Keohane e Sidney Verba. --
- Nova Jersey, EUA : Princeton University Press, 2021.
- 243 p.
Preface to the 2021 Edition Preface to the First Edition 1 - The Science in Social Science 1.1 Introduction 1.2 Major Components of Research Design 1.3 Themes of This Volume 2 - Descriptive Inference 2.1 General Knowledge and Particular Facts 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 3 - Causality and Causal Inference 3.1 Defining Causality 3.2 Clarifying Alternative Definitions of Causality 3.3 Assumptions Required for Estimating Causal Effects 3.4 Criteria for Judging Causal Inferences 3.5 Rules for Constructing Causal Theories 4. Determining What to Observe 4.1 Indeterminate Research Designs 4.2 The Limits of Random Selection 4.3 Selection Bias 4.4 Intentional Selection of Observations 4.5 Concluding Remarks 5 - Understanding What to Avoid 5.1 Measurement Error 5.2 Excluding Relevant Variables: Bias 5.3 Including Irrelevant Variables: Inefficiency 5.4 Endogeneity 5.5 Assigning Values of the Explanatory Variable 5.6 Controlling the Research Situation 5.7 Concluding Remarks 6 - Increasing the Number of Observations 6.1 Single-Observation Designs for Causal Inference 6.2 How Many Observations Are Enough? 6.3 Making Many Observations from Few 6.4 Concluding Remarks References Index
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Pesquisa Qualitativa Pesquisa Quantitativa Ciências Sociais - Métodos de Pesquisa