Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners.
Providing a solid grasp of the many facets of dyadic analysis, the book provides a taxonomy of dyadic designs and addresses:
* How to design an appropriate dyadic study to address a particular research question
* Nonindependence: what it is and how to measure it
* Ways to model and test for actor effects, partner effects, and relationship effects
* Strategies for analyzing each dyad in a study with multiple outcome variables
* The use of multilevel modeling and structural equation modeling in the estimation of dyadic models
* Organization and documentation of dyadic data files
* The "Seven Deadly Sins" of dyadic data analysis and how to avoid them
"It is rare to find a book that provides a nicely organized discussion of the approaches to evaluation, as well as hands-on information on managing evaluation, evaluation ethics, different evaluation philosophies, and utilization of evaluation. I especially liked the distinction among the various interventions that are the focus of evaluations, and the charts of the forms of evaluation. I also liked the focus on planning and diagnostic evaluation. The graphics are excellent, and Owen makes good use of inset boxes for examples. I would use the book in an introductory evaluation class to provide students with a roadmap of evaluation approaches and techniques and when and why to use them. This is one of only a few available texts that assemble techniques and approaches used in various countries across the world, and thus it should appeal to a wide audience."
-Debra J. Rog, Center for Evaluation and Program Improvement, Vanderbilt University
"This book breaks entirely new ground and, for the first time, offers social scientists a detailed methodological armamentarium for the analysis of dyadic data that appear in a broad range of research contexts. The development of original and creative solutions to some of the most vexing problems in dyadic research is presented in a clear, accessible manner by these talented authors. Dyadic Data Analysis is destined to become a classic, and will be essential reading for advanced students and researchers studying dyadic phenomena."
-Tom Malloy, Department of Psychology, Rhode Island College
"If any researcher (faculty or student) asked me for advice on dyadic data, I would send him or her to this book first. It provides clear definitions, accessible reviews of topics that appear in research journals, intuitive examples, and illustrations with computer code. The authors are to be commended for taking such difficult topics and communicating them in an accessible manner."
-Richard Gonzalez, Department of Psychology, University of Michigan
"A well-written and thoroughgoing discussion of issues and approaches in the analysis of dyadic data, written by leaders in the field....The book would be appropriate for advanced undergraduate social psychology methods classes, as well as graduate seminars. I strongly recommend this text to every social relations and social psychology researcher. I expect it will soon become a widely cited classic."
-Bruno D. Zumbo, Measurement, Evaluation, and Research Methodology Program, and Department of Statistics, University of British Columbia, Canada
"A wonderful addition to every researcher's tool chest for studying social relations and social interaction....What makes [the authors'] book so useful is the array of subtle issues they discuss, from when to treat dyadic members as distinguishable or as indistinguishable, to how to array data for dyadic analyses. The kinds of questions examined--from the minute to the sweeping--indicate that this book is written by people with substantial experience in social relations research."
-Joseph N. Cappella, Annenberg School for Communication, University of Pennsylvania
"An excellent, accessible, and instructive guide to dyadic data analysis. The authors clearly explain why interdependent data are problematic when approached with classical statistical techniques. More importantly, however, they enlighten the reader about the hidden treasures and opportunities that are inherent in dyadic data. This book provides a clear survey of various analytic techniques that researchers can use to ask and answer questions about the dynamics of interpersonal interactions, and it provides an engaging review of interdisciplinary applications of dyadic data designs."
-Todd D. Little, Department of Psychology and Schiefelbusch Institute for Life Span Studies, University of Kansas
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
0 有用 咩咩得意 2014-07-08 09:07:36
教材，不错
0 有用 滴滴 2022-06-08 10:41:13
有sas和spss的代码