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Created
July 14, 2021 11:10
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Researcher Metadata Database
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Added
Brinberg_et_al__2021_.pdf
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator Miriam Brinberg
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator N Ram
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator D E Conroy
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator D E Conroy
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator Aaron L Pincus
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator Aaron L Pincus
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator Denis Gerstorf
July 14, 2021 11:10
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Researcher Metadata Database
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Added Creator Denis Gerstorf
July 14, 2021 11:10
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Researcher Metadata Database
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Published
July 14, 2021 11:10
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Researcher Metadata Database
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Updated
February 28, 2022 22:44
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[unknown user]
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Updated
March 22, 2022 16:17
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[unknown user]
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Updated
Work Title, Publisher Identifier (DOI), Description
Show Changes
August 31, 2022 10:03
by
aee32
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.
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Deleted Creator N Ram
August 31, 2022 10:07
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aee32
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Deleted Creator D E Conroy
August 31, 2022 10:07
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aee32
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Deleted Creator D E Conroy
August 31, 2022 10:07
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aee32
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Deleted Creator Aaron L Pincus
August 31, 2022 10:07
by
aee32
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Deleted Creator Denis Gerstorf
August 31, 2022 10:07
by
aee32
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Updated Creator Aaron L Pincus
August 31, 2022 10:07
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aee32
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Updated Creator Denis Gerstorf
August 31, 2022 10:07
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aee32
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Added Creator Nilam Ram
August 31, 2022 10:07
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aee32
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Added Creator David E Conroy
August 31, 2022 10:07
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aee32
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Updated
April 04, 2024 10:21
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[unknown user]
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May 29, 2024 10:17
by
avs5190
Keyword
- Dyadic analysis, Intensive longitudinal analysis, Interpersonal perceptions, Interpersonal processes, Tutorial
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May 29, 2024 10:17
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avs5190
David E Conroy
- David E. Conroy
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May 29, 2024 10:17
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avs5190
Aaron L Pincus
- Aaron L. Pincus