Dyadic Data Analysis

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Guilford Press, 2006. 7. 28. - 458ÆäÀÌÁö
Interpersonal phenomena such as attachment, conflict, person perception, helping, 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, or parent-child, teacher-student, or doctor-patient pairs, 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 the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.
 

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1 Basic Definitions and Overview
1
2 The Measurement of Nonindependence
25
3 Analyzing Between and WithinDyads Independent Variables
53
4 Using Multilevel Modeling to Study Dyads
78
5 Using Structural Equation Modeling to Study Dyads
100
6 Tests of Correlational Structure and Differential Variance
119
The ActorPartner Interdependence Model
144
8 Social Relations Designs with Indistinguishable Members
185
10 OnewithMany Designs
263
11 Social Network Analysis
296
12 Dyadic Indexes
317
Interval Outcomes
342
Dichotomous Outcomes
381
15 Concluding Comments
406
References
427
Index
445

9 Social Relations Designs with Roles
223

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439 ÆäÀÌÁö - Moffitt, TE (2000) Two Personalities, One Relationship: Both Partners' Personality Traits Shape the Quality of Their Relationship', Journal of Personality and Social Psychology, 79: 251-9.
432 ÆäÀÌÁö - Gottman, JM, Swanson, C., & Swanson, K. (2002). A general systems theory of marriage: Nonlinear difference equation modeling of marital interaction. Personality & Social Psychology Review, 6(4), 326-340.
436 ÆäÀÌÁö - John, OP, Kenny, DA, Bond, M. H., & Robins, RW (2004). Reconceptualizing individual differences in self-enhancement bias: An interpersonal approach. Psychological Review, 111, 94-110.
432 ÆäÀÌÁö - Wiley. Gonzalez, R., & Griffin, D., (1999). The correlational analysis of dyad-level data in the distinguishable case. Personal Relationships, 6, 449469. Gonzalez, R., & Griffin, D.
432 ÆäÀÌÁö - WH, & Roberts, KH (1984). Hypothesized interdependence, assumed independence. Academy of Management Review, 13, 133-147, Goldstein, H.
431 ÆäÀÌÁö - Integrating family theory, family scores, and family analysis. In TW Draper & AC Marcos (Eds.), Family variables: Conceptualization, measurement, and use (pp.

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David A. Kenny, PhD, is Board of Trustees Professor in the Department of Psychology at the University of Connecticut, and he has also taught at Harvard University and Arizona State University. He served as first quantitative associate editor of Psychological Bulletin. Dr. Kenny was awarded the Donald Campbell Award from the Society of Personality and Social Psychology. He is the author of five books and has written extensively in the areas of mediational analysis, interpersonal perception, and the analysis of social interaction data. ? Deborah A. Kashy, PhD, is Professor of Psychology at Michigan State University (MSU). She is currently senior associate editor of Personality and Social Psychology Bulletin and has also served as associate editor of Personal Relationships. In 2005 Dr. Kashy received the Alumni Outstanding Teaching Award from the College of Social Science at MSU. Her research interests include models of nonindependent data, interpersonal perception, close relationships, and effectiveness of educational technology. ? William L. Cook, PhD, is Associate Director of Psychiatry Research at Maine Medical Center and Spring Harbor Hospital, and Clinical Associate Professor of Psychiatry at the University of Vermont College of Medicine. Originally trained as a family therapist, he has taken a lead in the dissemination of methods of dyadic data analysis to the study of normal and disturbed family systems. Dr. Cook?s contributions include the first application of the Social Relations Model to family data, the application of the Actor-Partner Interdependence Model to data from experimental trials of couple therapy, and the development of a method of standardized family assessment using the Social Relations Model.

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