The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience

Research on resilience has been wide-ranging in terms of academic disciplines, outcomes of interest, and levels of analysis. However, given the broad nature of the resilience literature, resilience has been a difficult construct to assess and measure. In the current article, a new method for directl...

Full description

Bibliographic Details
Main Authors: Ratcliff, Nathaniel J., Mahoney-Nair, Devika T., Goldstein, Joshua R.
Format: Article
Language:English
Published: Université d'Ottawa 2019-09-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
R
Online Access:https://www.tqmp.org/RegularArticles/vol15-2/p148/p148.pdf
id doaj-534047d1781e4e7ebc750f23b11f41a9
record_format Article
spelling doaj-534047d1781e4e7ebc750f23b11f41a92020-11-24T22:20:17ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262019-09-0115214817310.20982/tqmp.15.2.p148The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of ResilienceRatcliff, Nathaniel J.Mahoney-Nair, Devika T.Goldstein, Joshua R.Research on resilience has been wide-ranging in terms of academic disciplines, outcomes of interest, and levels of analysis. However, given the broad nature of the resilience literature, resilience has been a difficult construct to assess and measure. In the current article, a new method for directly quantifying the resilience process across time is presented based on a foundational conceptual definition derived from the existing resilience literature. The Area of Resilience to Stress Event (ARSE) method utilizes the area created, across time, from deviations of a given baseline following a stress event (i.e., area under the curve). Using an accompanying R package ('arse') to calculate ARSE, this approach allows researchers a new method of examining resilience for any number of variables of interest. A step-by-step tutorial for this new method is also described in an appendix.https://www.tqmp.org/RegularArticles/vol15-2/p148/p148.pdfresiliencemethodologymeasurementstress eventR
collection DOAJ
language English
format Article
sources DOAJ
author Ratcliff, Nathaniel J.
Mahoney-Nair, Devika T.
Goldstein, Joshua R.
spellingShingle Ratcliff, Nathaniel J.
Mahoney-Nair, Devika T.
Goldstein, Joshua R.
The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
Tutorials in Quantitative Methods for Psychology
resilience
methodology
measurement
stress event
R
author_facet Ratcliff, Nathaniel J.
Mahoney-Nair, Devika T.
Goldstein, Joshua R.
author_sort Ratcliff, Nathaniel J.
title The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
title_short The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
title_full The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
title_fullStr The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
title_full_unstemmed The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience
title_sort area of resilience to stress event ({arse}): a new method for quantifying the process of resilience
publisher Université d'Ottawa
series Tutorials in Quantitative Methods for Psychology
issn 1913-4126
publishDate 2019-09-01
description Research on resilience has been wide-ranging in terms of academic disciplines, outcomes of interest, and levels of analysis. However, given the broad nature of the resilience literature, resilience has been a difficult construct to assess and measure. In the current article, a new method for directly quantifying the resilience process across time is presented based on a foundational conceptual definition derived from the existing resilience literature. The Area of Resilience to Stress Event (ARSE) method utilizes the area created, across time, from deviations of a given baseline following a stress event (i.e., area under the curve). Using an accompanying R package ('arse') to calculate ARSE, this approach allows researchers a new method of examining resilience for any number of variables of interest. A step-by-step tutorial for this new method is also described in an appendix.
topic resilience
methodology
measurement
stress event
R
url https://www.tqmp.org/RegularArticles/vol15-2/p148/p148.pdf
work_keys_str_mv AT ratcliffnathanielj theareaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
AT mahoneynairdevikat theareaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
AT goldsteinjoshuar theareaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
AT ratcliffnathanielj areaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
AT mahoneynairdevikat areaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
AT goldsteinjoshuar areaofresiliencetostresseventarseanewmethodforquantifyingtheprocessofresilience
_version_ 1725776017481531392