Nathaniel J. Ratcliff, Devika T. Mahoney-Nair, Joshua Goldstein
{"title":"The Area of Resilience to Stress Event ({ARSE}): A New Method for Quantifying the Process of Resilience","authors":"Nathaniel J. Ratcliff, Devika T. Mahoney-Nair, Joshua Goldstein","doi":"10.20982/tqmp.15.2.p148","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The quantitative methods for psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20982/tqmp.15.2.p148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.