Theory-Based Data Analysis for the Social Sciences / Edition 1

Theory-Based Data Analysis for the Social Sciences / Edition 1

by Carol S. Aneshensel
Pub. Date:
SAGE Publications

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Theory-Based Data Analysis for the Social Sciences / Edition 1

The advent of complex and powerful computer-generated statistical models has greatly eroded the former prominence of social theory in data analysis, replacing it with an emphasis on statistical technique. To correct this trend, Carol S. Aneshensel presents a method for bringing data analysis and statistical technique into line with theory.

Product Details

ISBN-13: 9780761987369
Publisher: SAGE Publications
Publication date: 02/01/2002
Series: Undergraduate Research Methods & Statistics in the Social Sciences Series
Edition description: New Edition
Pages: 280
Product dimensions: 6.00(w) x 9.00(h) x 0.59(d)

Table of Contents

Chapter 1: Introduction to Theory-Based Data Analysis
The Connection Between Analysis, Theory and Statistics
Elements of Theory-Based Analysis
The Inherent Subjectivity of Analysis
Looking Ahead
Chapter 2: The Logic of Theory-Based Data Analysis
Inductive and Deductive Processes
Operationalization and The Assessment of Fit
The Roundabout Route of Failing to Reject
Chapter 3: Associations and Relationships
Association: The Basic Building Block
Establishing Relatedness: The "Third Variable "
Association and Causality
Chapter 4: The Focal Relationship: Demonstrating Internal Validity
Coincident Associations: The Exclusionary "Third Variable "
Causal Connections: The Inclusive "Third Variable "
An Example of Exclusionary and Inclusive "Third Variables "
Explaining Y Versus the Focal Relationship
Chapter 5: Ruling Out Alternative Explanations: Spuriousness and Control Variables
Spuriousness: The Illusion of Relationship
The Analysis of Simple Spuriousness
Complex Sources of Spuriousness
The Analysis of Complex Spuriousness
Death Looms on the Horizon: An Example of Partial Spuriousness
Chapter 6: Ruling Out Alternative Theoretical Explanations: Additional Independent Variables
Redundancy: Alternative Theories
Analytic Models For Redundancy
Control Versus Independent Variable
Chapter 7: Elaborating an Explanation: Antecedent, Intervening, and Consequent Variables
Intervening Variables: The Causal Mechanism
The Analysis of Intervening Variables
Mediation Illustrated: Explaining the Intergenerational Transmission of Divorce
Antecedent and Consequent Variables
Antecedent and Consequent Variables Illustrated: Divorce and Intergenerational Family Relations
Chapter 8: Specifying Conditions of Influence: Effect Modification and Subgroup Variation
Conditional Relationships
Conditional Relationships as Interactions
Subgroup Analysis of Conditional Relationships
Subgroup Versus Interaction Analysis
Considerations in the Selection of Moderating Variables
Chapter 9: Synthesis and Commentary
A Recap of Theory-Based Data Analysis
Informative Comparisons
Imperfect Knowledge

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