Carol S. Aneshensel's Second Edition of Theory-Based Data Analysis for the Social Sciences presents the elaboration model for the multivariate analysis of observational quantitative data. Two complementary strategies are used: an exclusionary strategy and an inclusive strategy. 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 serving as prototypes for aligning theory and the data analytic plan used to test it. The second application of…mehr
Carol S. Aneshensel's Second Edition of Theory-Based Data Analysis for the Social Sciences presents the elaboration model for the multivariate analysis of observational quantitative data. Two complementary strategies are used: an exclusionary strategy and an inclusive strategy. 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 serving as prototypes for aligning theory and the data analytic plan used to test it. 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.
Carol S. Aneshensel is a sociologist (Ph.D., Cornell University) and Professor at the University of California, Los Angeles. She specializes in the fields of the sociology of mental health and medical sociology, with an emphasis on the social origins of stress and its impact on depression. She has been Principal Investigator for numerous studies funded by the National Institute on Aging and the National Institute of Mental Health. She has published more than 75 peer-review journal articles and several books, including her work as lead editor of the Handbook of the Sociology of Mental Health, Second Edition (Springer, 2012). She has received awards for distinguished contributions from the Sociology of Mental Health and Medical Sociology sections of the American Sociological Association (ASA). Theory-Based Data Analysis for the Social Sciences received Honorable Mention for Best Publication in 2003 from the Sociology of Mental Health section, ASA.
Inhaltsangabe
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
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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