Dyadic Data Analysis (Paperback, 1)

1. Basic Definitions and Overview - Nonindependence - Basic Definitions - Data Organization - A Database of Dyadic Studies 2. The Measurement of Nonindependence - Interval Level of Measurement - Categorical Measures - Consequences of Ignoring Nonindependence - What Not to Do - Power Considerations 3. Analyzing Between- and Within-Dyads Independent Variables - Interval Outcome Measures and Categorical Independent Variables - Interval Outcome Measures and Interval Independent Variables - Categorical Outcome Variables 4. Using Multilevel Modeling to Study Dyads - Mixed-Model ANOVA - Multilevel-Model Equations - Multilevel Modeling with Maximum Likelihood - Adaptation of Multilevel Models to Dyadic Data 5. Using Structural Equation Modeling to Study Dyads - Steps in SEM - Confirmatory Factor Analysis - Path Analyses with Dyadic Data - SEM for Dyads with Indistinguishable Members 6. Tests of Correlational Structure and Differential Variance - Distinguishable Dyads - Indistinguishable Dyads 7. Analyzing Mixed Independent Variables: The Actor?Partner Interdependence Model - The Model - Conceptual Interpretation of Actor and Partner Effects - Estimation of the APIM: Indistinguishable Dyad Members - Estimation of the APIM: Distinguishable Dyads - Power and Effect Size Computation - Specification Error in the APIM 8. Social Relations Designs with Indistinguishable Members - The Basic Data Structures - Model - Details of an SRM Analysis - Model - Social Relations Analyses: An Example 9. Social Relations Designs with Roles - SRM Studies of Family Relationships - Design and Analysis of Studies - The Model - Application of the SRM with Roles Using Confirmatory Factor Analysis - The Four-Person Design - Illustration of the Four-Person Family Design - The Three-Person Design - Multiple Perspectives on Family Relationships - Means and Factor Score Estimation - Power and Sample Size 10. One-with-Many Designs - Design Issues - Measuring Nonindependence - The Meaning of Nonindependence in the One-with-Many Design - Univariate Analysis with Indistinguishable Partners - Univariate Estimation with Distinguishable Partners - The Reciprocal One-with-Many Design 11. Social Network Analysis - Definitions - The Representation of a Network - Network Measures - The p1 12. Dyadic Indexes - Item Measurement Issues - Measures of Profile Similarity - Mean and Variance of the Dyadic Index - Stereotype Accuracy - Differential Endorsement of the Stereotype - Pseudo-Couple Analysis - Idiographic versus Nomothetic Analysis - Illustration 13. Over-Time Analyses: Interval Outcomes - Cross-Lagged Regressions - Over-Time Standard APIM - Growth-Curve Analysis - Cross-Spectral Analysis - Nonlinear Dynamic Modeling 14. Over-Time Analyses: Dichotomous Outcomes - Sequential Analysis - Statistical Analysis of Sequential Data: Log-Linear Analysis - Statistical Analysis of Sequential Data: Multilevel Modeling - Event-History Analysis 15. Concluding Comments - Specialized Dyadic Models - Going Beyond the Dyad - Conceptual and Practical Issues - The Seven Deadly Sins of Dyadic Data Analysis - The Last Word