
Contents
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A Brief Overview of Current Practices A Brief Overview of Current Practices
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Basic Definitions Associated With the Analysis of Data From Dyads Basic Definitions Associated With the Analysis of Data From Dyads
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Between, Within, and Mixed Variables Between, Within, and Mixed Variables
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Nonindependence Nonindependence
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Distinguishability Distinguishability
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A Brief Introduction to MLM for Dyadic Data A Brief Introduction to MLM for Dyadic Data
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MLM for Group Data MLM for Group Data
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MLM With Dyadic Data MLM With Dyadic Data
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A Brief Introduction to SEM for Dyadic Data A Brief Introduction to SEM for Dyadic Data
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Testing Distinguishability Testing Distinguishability
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Testing Distinguishability With MLM Testing Distinguishability With MLM
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Testing Distinguishability With SEM Testing Distinguishability With SEM
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Models for Dyadic Research Models for Dyadic Research
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The Actor–Partner Interdependence Model The Actor–Partner Interdependence Model
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Dyadic Patterns in the APIM Dyadic Patterns in the APIM
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Mediation in the APIM Mediation in the APIM
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Two Alternatives to the APIM: Common Fate and Mutual Influence Two Alternatives to the APIM: Common Fate and Mutual Influence
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Over-Time Dyadic Models Over-Time Dyadic Models
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Summary and Conclusion Summary and Conclusion
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References References
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9 Conceptual and Methodological Issues in the Analysis of Cross-Sectional and Longitudinal Dyadic Data
Get accessDeborah A. Kashy, Department of Psychology, Michigan State University, East Lansing, MI, USA
Department of Psychology, Michigan State University
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Published:09 October 2018
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Abstract
This chapter provides an introduction to the analysis of nonindependent data from dyads. We begin by examining current practices regarding dyadic and group research in social and personality psychology and compare those findings with our original survey of research published in 2008 and 2009. We then present basic definitions, as well as a brief introduction to multilevel modeling and structural equation modeling for dyads. We present SPSS and Mplus syntax to specify the models we describe. We then discuss cross-sectional and longitudinal dyadic designs and provide examples of how these have been used to advance social and personality psychological science. For cross-sectional designs we provide details of the actor–partner interdependence model and two other dyadic models as alternatives—the common fate model and the mutual influence model. For longitudinal designs, we discuss dyadic growth models.
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