CiNii 図書 - Theory-based data analysis for the social sciences

This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.

Preface Acknowledgments About the Author Part I. Conceptual Foundations of the Elaboration Model Chapter 1. Introduction to Theory-Based Data Analysis Chapter 2. The Logic of Theory-Based Data Analysis Chapter 3. Relationships as Associations Chapter 4. The Focal Relationship: Causal Inference Part II. Regression with Simple Random Samples and Complex Samples Chapter 5. The Elaboration Model With Multiple Linear Regression Chapter 6. Regression With Survey Data From Complex Samples Part III. The Elaboration Model With Multiple Linear Regression Chapter 7. Ruling Out Alternative Explanations: Spuriousness and Control Variables Chapter 8. Ruling Out Alternative Theoretical Explanations: Rival Independent Variables Chapter 9. Elaborating the Focal Relationship: Mediation and Intervening Variables Chapter 10. Elaborating the Focal Relationship: Antecedent and Consequent Variables Chapter 11. Specifying Conditions of Influence: Moderating Variables Part IV. The Elaboration Model With Logistic Regression Chapter 12. The Elaboration Model With Logistic Regression Part V. Conclusion Chapter 13. Synthesis and Comments Glossary References Abbreviations Index

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