Analyzing dyadic data using grid-sequence analysis: Interdyad differences in intradyad dynamics

Miriam Brinberg, Nilam Ram, Gizem Hülür, Timothy R. Brick, Denis Gerstorf

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objectives: Spouses are proximal contexts for and influence each other's behaviors, particularly in old age. In this article, we forward an integrated approach that merges state space grid methods adapted from the dynamic systems literature with sequence analysis methods adapted from molecular biology into a “grid-sequence” method for studying interdyad differences in intradyad dynamics. Method: Using dyadic data from 108 older couples (M Age = 75.18 years) with six within-day emotion and activity reports over 7 days, we illustrate how grid-sequence analysis can be used to identify a taxonomy of dyads with different emotion dynamics. Results: Results provide a basis for measuring a set of dyad-level variables that capture dynamic equilibrium, daily routines, and interdyad differences. Specifically, we identified four groups of dyads who differed in how their moment-to-moment happiness was organized, with some evidence that these patterns were related to dyad-level differences in agreement on amount of time spent with partner and in subjective health. Discussion: Methodologically, grid-sequence analysis extends the toolbox of techniques for analysis of dyadic experience sampling data. Substantively, we identify patterns of dyad-level microdynamics that may serve as new markers of risk/protective factors and potential points for intervention in older adults' proximal context.

Original languageEnglish (US)
Pages (from-to)5-18
Number of pages14
JournalJournals of Gerontology - Series B Psychological Sciences and Social Sciences
Volume73
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

dyad
Sequence Analysis
Emotions
emotion
Happiness
Diagnostic Self Evaluation
Spouses
Molecular Biology
old age
happiness
taxonomy
spouse
biology
health
evidence
experience
Group

All Science Journal Classification (ASJC) codes

  • Health(social science)
  • Social Psychology
  • Clinical Psychology
  • Sociology and Political Science
  • Gerontology
  • Geriatrics and Gerontology
  • Life-span and Life-course Studies

Cite this

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title = "Analyzing dyadic data using grid-sequence analysis: Interdyad differences in intradyad dynamics",
abstract = "Objectives: Spouses are proximal contexts for and influence each other's behaviors, particularly in old age. In this article, we forward an integrated approach that merges state space grid methods adapted from the dynamic systems literature with sequence analysis methods adapted from molecular biology into a “grid-sequence” method for studying interdyad differences in intradyad dynamics. Method: Using dyadic data from 108 older couples (M Age = 75.18 years) with six within-day emotion and activity reports over 7 days, we illustrate how grid-sequence analysis can be used to identify a taxonomy of dyads with different emotion dynamics. Results: Results provide a basis for measuring a set of dyad-level variables that capture dynamic equilibrium, daily routines, and interdyad differences. Specifically, we identified four groups of dyads who differed in how their moment-to-moment happiness was organized, with some evidence that these patterns were related to dyad-level differences in agreement on amount of time spent with partner and in subjective health. Discussion: Methodologically, grid-sequence analysis extends the toolbox of techniques for analysis of dyadic experience sampling data. Substantively, we identify patterns of dyad-level microdynamics that may serve as new markers of risk/protective factors and potential points for intervention in older adults' proximal context.",
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Analyzing dyadic data using grid-sequence analysis : Interdyad differences in intradyad dynamics. / Brinberg, Miriam; Ram, Nilam; Hülür, Gizem; Brick, Timothy R.; Gerstorf, Denis.

In: Journals of Gerontology - Series B Psychological Sciences and Social Sciences, Vol. 73, No. 1, 01.01.2018, p. 5-18.

Research output: Contribution to journalArticle

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