Dyadic Data AnalysisGuilford 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 |
427 | |
445 | |
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able actor and partner actor effect adjustment allow analysis ANOVA APIM approach assume average behavior between-dyads called Chapter child coded coefficient components compute consider couples covariance create data set degrees of freedom described determine discussed distinguishable dyad members dyadic dyadic data dyadic index equal equation error estimate example father Figure Finally focal person gender husbands important included independent variable indicates individual instance interaction intercept intraclass correlation involves Kenny loadings mean measure method mixed mother multilevel negative nonindependence Note observations outcome pairs parameters partner effects person positive predict predictor presented random reciprocity refers regression relation relationship represents role sample satisfaction scores similarity slope social specific standard statistically significant strategy structure Table tion treated types unit vari variance within-dyads wives zero
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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.