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Index
Title Page
Copyright Page
Preface
CHAPTER 1 - The Science in Social Science
1.1 INTRODUCTION
1.2 MAJOR COMPONENTS OF RESEARCH DESIGN
1.3 THEMES OF THIS VOLUME
CHAPTER 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
CHAPTER 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
CHAPTER 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
CONCLUDING REMARKS
CHAPTER 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
CHAPTER 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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