Dyadic analysis and the reciprocal one-with-many model: Extending 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.

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Work Title Dyadic analysis and the reciprocal one-with-many model: Extending study of interpersonal processes with intensive longitudinal data
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Open Access
Creators
  1. Miriam Brinberg
  2. N Ram
  3. D E Conroy
  4. D E Conroy
  5. Aaron L Pincus
  6. Aaron L Pincus
  7. Denis Gerstorf
  8. Denis Gerstorf
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Psychological Methods
Publication Date January 1, 2021
Deposited July 14, 2021

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  • 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
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