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27 - Models for Dyadic Data

from Part VI - Intensive Longitudinal Designs

Published online by Cambridge University Press:  23 March 2020

By
Eduardo Estrada ,
David A. Sbarra  and
Emilio Ferrer
Edited by
Aidan G. C. Wright  and
Michael N. Hallquist
Aidan G. C. Wright
Affiliation:
University of Pittsburgh
Michael N. Hallquist
Affiliation:
Pennsylvania State University
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Summary

This chapter revises and describes statistical models for analyzing data from dyadic systems such as therapist-client, mother-children, or romantic partners, among others. It defines interdependence as the key characteristic of dyadic systems, and then identifies clinical research questions related to dyadic systems and processes that unfold over time. These questions are used to select a set of statistical models and data-analytic techniques for answering clinical research questions related to dyadic research. Emphasis is placed on dynamic models that allow transitioning from asking questions about the outcomes (i.e., Did the therapy work?) to questions about the processes and mechanisms (i.e., How did it work?).

Keywords

dyadic datamultivariate data analysisdynamic modelsquantitative psychologylongitudinal data analysishealth psychologystructural equation modelingromantic relationshipstherapist-client relationshipparent-children interaction
Type
Chapter
Information
The Cambridge Handbook of Research Methods in Clinical Psychology , pp. 350 - 368
Publisher: Cambridge University Press
Print publication year: 2020

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