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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Université d'Ottawa
2019-09-01
|
Series: | Tutorials in Quantitative Methods for Psychology |
Subjects: | |
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 |