Recurrence Quantification for the Analysis of Coupled Processes in Aging

Timothy R Brick, Allison L Gray and Angela D Staples

The Journals of Gerontology: Series B, 2018, vol. 73, issue 1, 134-147

Abstract: Objectives: Aging is a complex phenomenon, with numerous simultaneous processes that interact with each other on a moment-to-moment basis. One way to quantify the interactions of these processes is by measuring how much a process is similar to its own past states or the past states of another system through the analysis of recurrence. This paper presents an introduction to recurrence quantification analysis (RQA) and cross-recurrence quantification analysis (CRQA), two dynamical systems analysis techniques that provide ways to characterize the self-similar nature of each process and the properties of their mutual temporal co-occurrence.MethodWe present RQA and CRQA and demonstrate their effectiveness with an example of conversational movements across age groups. Results: RQA and CRQA provide methods of analyzing the repetitive processes that occur in day-to-day life, describing how different processes co-occur, synchronize, or predict each other and comparing the characteristics of those processes between groups. Discussion: With intensive longitudinal data becoming increasingly available, it is possible to examine how the processes of aging unfold. RQA and CRQA provide information about how one process may show patterns of internal repetition or echo the patterning of another process and how those characteristics may change across the process of aging.

Keywords: Dyadic analysis; Dynamical systems analysis; Interpersonal systems; Longitudinal change; Recurrence quantification analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/geronb/gbx018 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:geronb:v:73:y:2018:i:1:p:134-147.

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

The Journals of Gerontology: Series B is currently edited by Psychological Sciences - S. Duke Han, PhD and Social Sciences - Jessica A Kelley, PhD, FGSA

More articles in The Journals of Gerontology: Series B from The Gerontological Society of America Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().