Dyadic Data Analysis
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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2 The Measurement of Nonindependence
What Not to Do
3 Analyzing Between and WithinDyads Independent Variables
Interval Outcome Measures and Interval Independent
Application of the SRM with Roles Using Confirmatory Factor
Illustration of the FourPerson Family Design
The Meaning of Nonindependence
Univariate Estimation with Distinguishable Partners
The Reciprocal OnewithMany Design
12 Dyadic Indexes
4 Using Multilevel Modeling to Study Dyads
Multilevel Modeling with Maximum Likelihood
Summary and Conclusions
Tests of Correlational Structure
The ActorPartner Interdependence Model
Indistinguishable Dyad Members
Power and Effect Size Computation
Social Relations Designs with Roles
Acitelli actor and partner actor effect actor–partner adjustment ANOVA anxiety APIM average behavior between-dyads variable chapter chi-square child classroom coded compute consider couples covariance cross-lagged regression data set degrees of freedom discussed distinguishable dyads dyad members DYADIC DATA ANALYSIS dyadic index equal equation estimate focal person gender grand mean growth-curve independent variable individual interaction intercept INTOXSOB intraclass correlation Kenny latent variable level of measurement level-1 logit marital satisfaction maximum likelihood members are distinguishable method MLwiN mother multilevel models negative nomothetic nonindependence Note null hypothesis number of dyads observations one-with-many design outcome variable over-time pairs parameters partner effects partner variance predict predictor variables PROC MIXED pseudo-couple random reciprocity regression coefficients relationship effect sample sequential analysis similarity slope social SPSS SRM design statistically significant stereotype accuracy strategy subgroups subtracted Table tion treated trial types unit of analysis vari wife’s within-dyads variable zero
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