Models for dyadic data

Eduardo Estrada; David A. Sbarra; Emilio Ferrer

doi:10.1017/9781316995808.033

Models for dyadic data

Eduardo Estrada, David A. Sbarra, Emilio Ferrer

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Scopus citations

Abstract

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?).

Original language	English (US)
Title of host publication	The Cambridge Handbook of Research Methods in Clinical Psychology
Publisher	Cambridge University Press
Pages	350-368
Number of pages	19
ISBN (Electronic)	9781316995808
ISBN (Print)	9781107189843
DOIs	https://doi.org/10.1017/9781316995808.033
State	Published - Apr 2 2020

Keywords

Dyadic data
Dynamic models
Health psychology
Longitudinal data analysis
Multivariate data analysis
Parent-children interaction
Quantitative psychology
Romantic relationships
Structural equation modeling
Therapist-client relationship

ASJC Scopus subject areas

General Psychology
General Social Sciences
General Medicine
General Arts and Humanities

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10.1017/9781316995808.033

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KW - Longitudinal data analysis

KW - Multivariate data analysis

KW - Parent-children interaction

KW - Quantitative psychology

KW - Romantic relationships

KW - Structural equation modeling

KW - Therapist-client relationship

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Models for dyadic data

Abstract

Keywords

ASJC Scopus subject areas

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