Theory-based data analysis for the social sciences / Carol S. Aneshensel
- Author:
- Aneshensel, Carol S.
- Published:
- Thousand Oaks, Calif. : SAGE, [2013]
- Copyright Date:
- ©2013
- Edition:
- 2nd ed.
- Physical Description:
- xxiii, 446 pages : illustrations ; 24 cm
- Contents:
- Machine generated contents note: pt. I CONCEPTUAL FOUNDATIONS OF THE ELABORATION MODEL -- 1.Introduction to Theory-Based Data Analysis -- Key Concepts of Theory-Based Data Analysis -- Data and Data Analysis -- Constructs and Measured Variables -- Relationships and Associations -- Populations and Samples -- Explanatory Data Analysis -- Elements of the Elaboration Model of Theory-Based Data Analysis -- The Elaboration Model -- Third Variables -- The Focal Relationship -- Complementary Analytic Strategies -- Interpretation of Findings -- The Elaboration Model Illustrated: Boundary-Spanning Work Demands -- Theory, Statistics, and Data Analysis -- The Inherent Subjectivity of Analysis -- Summary -- Looking Ahead -- Notes -- 2.The Logic of Theory-Based Data Analysis -- Inductive and Deductive Reasoning -- Observation, Induction, and Theory -- Theory, Deduction, and Observation -- The Circuitous Link Between Theory and Observation -- Operationalization and the Assessment of Fit -- Constructs and Measured Variables -- Populations and Samples -- Relationships and Associations -- Inferences From Sample to Population -- A Note on Measurement Error and Associations -- The Roundabout Route of Failing to Reject a Theory -- Summary -- Notes -- 3.Relationships as Associations -- Relationships as Associations -- Associations: The Basic Building Block -- Starting Small: Association Between the Two Focal Variables -- Association as Covariation -- The Correspondence Between Association and Theory -- Level of Measurement -- Functional Form -- Establishing Relatedness: The "Third Variable" -- The Multivariate Model -- Interpretation of Changes in the Focal Relationship -- The Conditional Model -- Explanation in the Elaboration Model -- Summary -- Notes -- 4.The Focal Relationship: Causal Inference -- Causal Inference in Observational Research -- Types of Causal Factors in the Social Sciences -- Criteria for Inferring Causality -- Endogeneity as a Threat to Internal Validity in Observational Studies -- Ruling Out Counterarguments -- Ascribed Characteristics as Causal Influences -- The Causal Mechanism Approach -- Replication -- The Limits to Causal Inference -- The Exclusionary Strategy of the Elaboration Model -- Coincident Associations: Chance -- Coincident Associations: Spuriousness -- Redundancy -- Criteria for an Effective Exclusionary Third Variable -- The Inclusive Strategy of the Elaboration Model -- Elements of the Inclusive Strategy -- Antecedent, Intervening, and Consequent Variables -- The Exclusionary Strategy Revisited -- The Conditional Focal Relationship -- Explaining Y Versus the Focal Relationship -- Summary -- Notes -- pt. II REGRESSION WITH SIMPLE RANDOM SAMPLES AND COMPLEX SAMPLES -- 5.The Elaboration Model With Multiple Linear Regression -- Simple Regression: The Total Association -- Estimating the Regression Equation -- Inferences to the Population -- When the Focal Relationship Is Not Statistically Significant -- Explanation of the Dependent Variable -- Northridge Analysis Journal 5.1 The Simple Regression Model: Anxiety and Fright -- Dummy Variables -- Northridge Analysis Journal 5.2 The Dummy Variable Model: Anxiety, Danger, and Race/Ethnicity -- The Third Variable: Partial Association -- Estimating the Regression Equation -- Inferences to the Population -- Northridge Analysis Journal 5.3 The Three-Variable Regression Model: Anxiety, Fright, and Characteristics of the Earthquake and Respondent -- The Multivariate Regression Model -- Estimating the Regression Equation -- Inferences to the Population -- Explanation of the Focal Relationship -- Explanation of the Dependent Variable -- Comparisons Between Models -- Interpretation of Explained Variance -- Interpretation of Changes in the Focal Relationship -- Northridge Analysis Journal 5.4 The Multivariate Regression Model: Anxiety, Fright, and a Comprehensive Set of Third Variables -- Summary -- Notes -- 6.Regression With Survey Data From Complex Samples -- Complex Samples -- Stratification -- Clustering -- Unequal Selection Probabilities -- HRS Analysis Journal 6.1 The Health and Retirement Study Sample Design -- Accounting for the Sample Design -- Sample Weights -- HRS Analysis Journal 6.2 The HRS Sample and Sample Weights -- Estimating the Regression Equation and Standard Errors -- Inferences to the Population -- Explanation of the Dependent Variable -- Subgroup Analysis -- Incorporating the Sample Design Into Analysis -- The Question of Weights -- Interpretation -- HRS Analysis Journal 6.3 Regression With Complex Samples: Loneliness and Discrimination -- Summary -- Notes -- pt. III THE ELABORATION MODEL WITH MULTIPLE LINEAR REGRESSION -- 7.Ruling Out Alternative Explanations: Spuriousness and Control Variables -- The Nature of Control Variables -- Spuriousness: The Illusion of Relationship -- Simple Spuriousness: The Three-Variable Model -- Complex Spuriousness: The Multivariate Model -- Spuriousness: Emotion Management -- The Statistical Analysis of Spuriousness -- Simple Spuriousness: The Three-Variable Model -- Multiple Control Variables -- HRS Analysis Journal 7.1 The Focal Relationship and Spuriousness: Life Satisfaction and Financial Strain -- Considerations in the Selection of Control Variables -- Summary -- Notes -- 8.Ruling Out Alternative Theoretical Explanations: Rival Independent Variables -- Redundancy: Competing Theories -- Redundancy: The Illusion of a Unique Relationship -- Simple Redundancy -- Complex Redundancy -- Redundancy: Emotion Management -- The Statistical Analysis of Redundancy -- HRS Analysis Journal 8.1 The Focal Relationship and Redundancy: Life Satisfaction and Neighborhoods -- Redundancy Versus Spuriousness -- Considerations in the Selection of Rival Independent Variables -- Summary -- Notes -- 9.Elaborating the Focal Relationship: Mediation and Intervening Variables -- Mediation: Specifying the Causal Mechanism -- The Intervening Variable -- The Theoretical Classification of Variables -- Mediation as Explanation -- In the Absence of Mediation -- Mediation: Emotion Management -- The Statistical Analysis of Mediation -- The Three-Variable Model -- HRS Analysis Journal 9.1 A Single Mediator: Life Satisfaction, Financial Strain, and Social Support -- Multiple Mediators -- HRS Analysis Journal 9.2 Multiple Mediators: Life Satisfaction and Optimism -- The Comprehensive Model -- HRS Analysis Journal 9.3 Mediation With a Comprehensive Model: Life Satisfaction, Social Support, and Optimism -- Countervailing Forces -- Rival Intervening Variables: The Exclusionary Strategy Revisited -- The Functions of Rival Intervening Variables -- The Analysis of Rival Intervening Variables -- Rival Intervening Variables: Same-Sex Contact -- Mediation With SEMs -- Summary -- Notes -- 10.Elaborating the Focal Relationship: Antecedent and Consequent Variables -- Antecedent and Consequent Variables and the Focal Relationship -- The Conceptual Role of Antecedent and Consequent Variables -- The Focal Relationship as Mediation -- Antecedent, Control, and Rival Independent Variables -- The Statistical Analysis of Antecedent and Consequent Variables -- Antecedent Variables: The Focal Independent Variable as a Dependent Variable -- HRS Analysis Journal 10.1 The Antecedent Variable: Discrimination and Financial Strain -- Antecedent Variables: The Focal Independent Variable as an Intervening Variable -- HRS Analysis Journal 10.2 The Antecedent Variable: Discrimination and Life Satisfaction -- Consequent Variables: The Focal Dependent Variable as an Independent Variable -- HRS Analysis Journal 10.3 The Consequent Variable: Life Satisfaction and Depressive Symptoms -- Antecedent and Consequent Variables in SEM -- Summary -- Notes -- 11.Specifying Conditions of Influence: Moderating Variables -- Conditional Relationships -- Types of Conditional Relationships -- The Mechanics of Conditional Relationships -- Symmetry -- Generalization With Conditional Relationships -- Conditional Relationships as Interactions -- Numeric Moderators -- HRS Analysis Journal 11.1 Moderation With Two Numeric Variables: Life Satisfaction, Financial Strain, and Optimism -- Dichotomous Modifiers -- Categorical Modifiers -- HRS Analysis Journal 11.2 The Categorical Moderator: Racial/Ethnic Differences in the Effect of Financial Strain -- Higher-Order Interactions -- Nonlinear Interactions -- Moderation Meets Mediation -- Subgroup Analysis -- Subgroup Versus Interaction Analysis -- Considerations in the Selection of Moderating Variables -- Summary -- Notes -- pt. IV THE ELABORATION MODEL WITH LOGISTIC REGRESSION -- 12.The Elaboration Model With Logistic Regression -- The Elaboration Model With a Comprehensive Logistic Regression Model -- Multivariate Logistic Regression -- Inferences to the Population -- Summary Measures of Fit -- Model-Building Strategy and Comparison of Models -- Northridge Analysis Journal 12.1 The Comprehensive Logistic Regression Model: Self-Perception of Being a Victim by Intensity of the Earthquake -- Interpretation of the Focal Relationship -- Mediation With Standard Logistic Regression -- Northridge Analysis Journal 12.2 Mediation With Standard Logistic Regression: Self-Perception of Being a Victim and Intrusive Thoughts -- Comparing Logistic Regression Coefficients Across Models -- The Problem -- Approaches for Resolving the Problem -- Mediation With Rescaled Coefficients -- Northridge Analysis Journal 12.3 Mediation With Rescaling: Self-Perception of Being a Victim and the Residual of Intrusive Thoughts -- Mediation in Logistic Regression Reconsidered -- Conditional Relationships as Interactions in Logistic Regression -- Two Numeric Variables -- Two Categorical Variables -- Northridge Analysis Journal 12.4 Interaction With Two Dichotomous Variables: Threat to Life and Property Damage -- Logistic Regression With Survey Data From a Complex Sample -- Summary -- Notes -- pt. V CONCLUSION -- 13.Synthesis and Comments -- Prerequisites: Theory and Statistics -- and Contents note continued: The Elaboration Model With Multiple Linear Regression -- The Elaboration Model With Logistic Regression -- On Mediation and Confounding -- The Comprehensive Model -- Interpretation -- Imperfect Knowledge.
- Subject(s):
- ISBN:
- 9781412994354 (pbk.)
1412994357 (pbk.) - Bibliography Note:
- Includes bibliographical references and index.
- Source of Acquisition:
- Purchased with funds from the Paterno Libraries Endowment; 2012
- Endowment Note:
- Paterno Libraries Endowment
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