Literature DB >> 15998174

Structural equation models for interchangeable dyads: being the same makes a difference.

Erik Woody1, Pamela Sadler.   

Abstract

Structural equation modeling (SEM) offers a flexible method for studying the patterns of interdependence in partners' behavior, which lie at the heart of interactions and relationships. Although SEM has been applied to the study of distinguishable dyads, in which partners are distinguishable by type, such as male and female, it has rarely been applied to the study of interchangeable dyads, such as male-male or female-female pairs. The authors integrate a wide range of dyadic interdependence models--including actor-partner interdependence models, mutual-influence models, and common-fate or dyadic personality models--into an SEM framework for use with interchangeable dyads. The authors also address the use of latent variables at both the dyadic and individual levels, whereby substantive relationships in these models can be corrected for errors of measurement. Furthermore, the authors discuss the conceptual underpinnings of dyadic models and give examples of their application.

Mesh:

Year:  2005        PMID: 15998174     DOI: 10.1037/1082-989X.10.2.139

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  3 in total

1.  The Human Coparental Bond Implicates Distinct Corticostriatal Pathways: Longitudinal Impact on Family Formation and Child Well-Being.

Authors:  Eyal Abraham; Gadi Gilam; Yaniv Kanat-Maymon; Yael Jacob; Orna Zagoory-Sharon; Talma Hendler; Ruth Feldman
Journal:  Neuropsychopharmacology       Date:  2017-04-02       Impact factor: 7.853

2.  On the similarity between exchangeable profiles: A psychometric model, analytic strategy, and empirical illustration.

Authors:  R Michael Furr; Dustin Wood
Journal:  J Res Pers       Date:  2013-06

3.  Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples.

Authors:  Saman Maroufizadeh; Mostafa Hosseini; Abbas Rahimi Foroushani; Reza Omani-Samani; Payam Amini
Journal:  BMC Med Res Methodol       Date:  2018-10-26       Impact factor: 4.615

  3 in total

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