Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data

Newly available data streams from experience sampling studies and social media are providing new opportunities to study individuals’ dyadic relations. The “one-with-many” (OWM) model (Kenny et al., 2006; Kenny & Winquist, 2001) was specifically constructed for and is used to examine features of multiple dyadic relationships that one set of focal persons (e.g., therapists, physicians) has with others (e.g., multiple clients, multiple patients). Originally, the OWM model was constructed for and applied to cross-sectional data. However, the model can be extended to accommodate and may be particularly useful for the analysis of intensive repeated measures data now being obtained through experience sampling and social media. This article (a) provides a practical tutorial on fitting the OWM model, (b) describes how the OWM model is extended for analysis of repeated measures data, and (c) illustrates application of the OWM model using reports about interpersonal behavior and benefits individuals experienced in 64,111 social interactions during 9 weeks of study (N = 150). Our presentation highlights the utility of the OWM model for examining interpersonal processes in everyday life.

Files

Metadata

Work Title Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data
Access
Open Access
Creators
  1. Miriam Brinberg
  2. Nilam Ram
  3. David E. Conroy
  4. Aaron L. Pincus
  5. Denis Gerstorf
Keyword
  1. Dyadic analysis
  2. Intensive longitudinal analysis
  3. Interpersonal perceptions
  4. Interpersonal processes
  5. Tutorial
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Psychological Methods
Publication Date January 1, 2021
Publisher Identifier (DOI)
  1. https://doi.org/10.1037/met0000380
Deposited July 14, 2021

Versions

Analytics

Collections

This resource is currently not in any collection.

Work History

Version 1
published

  • Created
  • Added Brinberg_et_al__2021_.pdf
  • Added Creator Miriam Brinberg
  • Added Creator N Ram
  • Added Creator D E Conroy
  • Added Creator D E Conroy
  • Added Creator Aaron L Pincus
  • Added Creator Aaron L Pincus
  • Added Creator Denis Gerstorf
  • Added Creator Denis Gerstorf
  • Published
  • Updated
  • Updated
  • Updated Work Title, Publisher Identifier (DOI), Description Show Changes
    Work Title
    • Dyadic analysis and the reciprocal one-with-many model: Extending study of interpersonal processes with intensive longitudinal data
    • Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data
    Publisher Identifier (DOI)
    • https://doi.org/10.1037/met0000380
    Description
    • Newly available data streams from experience sampling studies and social media are providing new
    • opportunities to study individuals’ dyadic relations. The “one-with-many” (OWM) model (Kenny et al.,
    • 2006; Kenny & Winquist, 2001) was specifically constructed for and is used to examine features of
    • multiple dyadic relationships that one set of focal persons (e.g., therapists, physicians) has with others
    • (e.g., multiple clients, multiple patients). Originally, the OWM model was constructed for and applied to
    • cross-sectional data. However, the model can be extended to accommodate and may be particularly
    • useful for the analysis of intensive repeated measures data now being obtained through experience
    • sampling and social media. This article (a) provides a practical tutorial on fitting the OWM model, (b)
    • describes how the OWM model is extended for analysis of repeated measures data, and (c) illustrates
    • application of the OWM model using reports about interpersonal behavior and benefits individuals
    • experienced in 64,111 social interactions during 9 weeks of study (N  150). Our presentation highlights
    • the utility of the OWM model for examining interpersonal processes in everyday life.
    • Newly available data streams from experience sampling studies and social media are providing new opportunities to study individuals’ dyadic relations. The “one-with-many” (OWM) model (Kenny et al., 2006; Kenny & Winquist, 2001) was specifically constructed for and is used to examine features of multiple dyadic relationships that one set of focal persons (e.g., therapists, physicians) has with others (e.g., multiple clients, multiple patients). Originally, the OWM model was constructed for and applied to cross-sectional data. However, the model can be extended to accommodate and may be particularly useful for the analysis of intensive repeated measures data now being obtained through experience sampling and social media. This article (a) provides a practical tutorial on fitting the OWM model, (b) describes how the OWM model is extended for analysis of repeated measures data, and (c) illustrates application of the OWM model using reports about interpersonal behavior and benefits individuals experienced in 64,111 social interactions during 9 weeks of study (_N_ = 150). Our presentation highlights the utility of the OWM model for examining interpersonal processes in everyday life.
  • Deleted Creator N Ram
  • Deleted Creator D E Conroy
  • Deleted Creator D E Conroy
  • Deleted Creator Aaron L Pincus
  • Deleted Creator Denis Gerstorf
  • Updated Creator Aaron L Pincus
  • Updated Creator Denis Gerstorf
  • Added Creator Nilam Ram
  • Added Creator David E Conroy
  • Updated
  • Updated Keyword Show Changes
    Keyword
    • Dyadic analysis, Intensive longitudinal analysis, Interpersonal perceptions, Interpersonal processes, Tutorial
  • Renamed Creator David E. Conroy Show Changes
    • David E Conroy
    • David E. Conroy
  • Renamed Creator Aaron L. Pincus Show Changes
    • Aaron L Pincus
    • Aaron L. Pincus