Models for dyadic data

Eduardo Estrada, David A. Sbarra, Emilio Ferrer

Research output: Chapter in Book/Report/Conference proceedingChapter

3 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 languageEnglish (US)
Title of host publicationThe Cambridge Handbook of Research Methods in Clinical Psychology
PublisherCambridge University Press
Pages350-368
Number of pages19
ISBN (Electronic)9781316995808
ISBN (Print)9781107189843
DOIs
StatePublished - 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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