Analyzing Dyadic Data Using Grid-Sequence Analysis

Interdyad Differences in Intradyad Dynamics

Bibliographic Data

ID12440652
AuthorsMiriam Brinberg (0000-0001-5202-9292, Department of Human Development and Family Studies, Pennsylvania State University, University Park), Nilam Ram (0000-0003-1671-5257, Department of Human Development and Family Studies, Pennsylvania State University, University Park, corresponding author), Gizem Hülür (0000-0002-9225-3878, Department of Psychology and University Research Priority Program (URPP) Dynamics of Healthy Aging, University of Zurich, Switzerland), Timothy R Brick (0000-0002-3339-9279, Department of Human Development and Family Studies, Pennsylvania State University, University Park), Denis Gerstorf (0000-0002-2133-9498, German Institute for Economic Research (DIW), Berlin, Germany)
Year2016
Volume73
Issue1
Pages5-18
Publication date2016-11-21
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueThe Journals of Gerontology Series B (JOURNAL)
Journal identifiersISSN: 1079-5014 • E-ISSN: 1758-5368
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/geronb/gbw160
PMID28034903
OpenAlexW2560875705
LanguageEN
Citations received10
References cited42

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

Dynamics (music · Grid · Sequence (biology · Complex Network Analysis Techniques · Computer Science · Human Mobility and Location-Based Analysis · Mathematics · Psychology · Time Series Analysis and Forecasting

Tools

Open DOISci-HubOpen Access