CONSTRUCT VALIDITY OF THE ADOLESCENT RESILIENCE SCALE

2003 ◽  
Vol 93 (8) ◽  
pp. 1217 ◽  
Author(s):  
ATSUSHI OSHIO
2021 ◽  
Vol 26 (1) ◽  
pp. 31-38
Author(s):  
Iulia-Clarisa Giurcă ◽  
Adriana Baban ◽  
Sebastian Pintea ◽  
Bianca Macavei

AbstractThe following study is aimed at investigating the construct validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC 25) on a Romanian military population. The exploratory factor analysis was conducted on 434 male military participants, aged between 24 and 50 years (M = 34.83, S.D. = 6.14) and the confirmatory factor analysis was conducted on a sample of 679 military participants, of 605 men and 74 women, aged between 18 and 59 years (M = 38.37, S.D. = 9.07). Factor analysis of the scale showed it to be a bidimensional, rather than a multidimensional instrument, as the original five-factor structure was not replicated in this military Romanian sample. Moreover, EFAs suggested that a 14-item bidimensional model should be retained and CFA confirmed that this model fit the data best.


2003 ◽  
Vol 93 (3_suppl) ◽  
pp. 1217-1222 ◽  
Author(s):  
Atsushi Oshio ◽  
Hitoshi Kaneko ◽  
Shinji Nagamine ◽  
Motoyuki Nakaya

The aim of this study was to assess the construct validity of the Adolescent Resilience Scale which measures the psychological features of resilient individuals. Research involving this scale, the Negative Life Events Scale, and the General Health Questionnaire was conducted with a group of 207 Japanese undergraduate students (104 men and 103 women; M age = 20.2 yr., SD =.9). A cluster analysis for the Negative Life Events Scale and General Health Questionnaire yielded three clusters: (1) mentally healthy with little experience of Negative Life Events, (2) poorer mental health with many experiences of Negative Life Events, (3) mentally healthy despite many experiences of Negative Life Events. These three groups were defined as (1) Well Adjusted, (2) Vulnerable, and (3) Resilient, respectively. Mean differences in scores on the Adolescent Resilience Scale among the three groups were subjected to one-way analysis of variance. The mean scores of both the Well Adjusted and Resilient groups were higher than that of the Vulnerable group, and therefore support the construct validity of the Adolescent Resilience Scale.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243564
Author(s):  
Diana Montoya-Williams ◽  
Molly Passarella ◽  
Scott A. Lorch

Background Cohort studies represent rich sources of data that can be used to link components of resilience to a variety of health-related outcomes. The Adolescent to Adult Health (Add Health) cohort study represents one of the largest data sets of the health and social context of adolescents transitioning into adulthood. It did not however use validated resilience scales in its data collection process. This study aimed to retrospectively create and validate a resilience indicator using existing data from the cohort to better understand the resilience of its participants. Methods Questions asked of participants during one Add Health data collection time period (N = 15,701) were matched to items on a well-known and widely validated resilience scale called the Connor Davidson Resilience Scale. Factor analysis and psychometric analyses were used to refine and validate this novel Adolescent to Adult Health Resilience Instrument. Construct validity utilized participants’ answers to the 10 item Center for Epidemiologic Studies Depression Scale, which has been used to validate other resilience scales. Results Factor analysis yielded an instrument with 13 items that showed appropriate internal consistency statistics. Resilience scores in our study were normally distributed with no ceiling or floor effects. Our instrument had appropriate construct validity, negatively correlating to answers on the depression scale (r = -0.64, p<0.001). We also found demographic differences in mean resilience scores: lower resilience scores were seen among women and those who reported lower levels of education and household income. Conclusions It is possible to retrospectively construct a resilience indicator from existing cohort data and achieve good psychometric properties. The Adolescent to Adult Health Resilience Instrument can be used to better understand the relationship between resilience, social determinants of health and health outcomes among young adults using existing data, much of which is publicly available.


2018 ◽  
Vol 25 (3) ◽  
pp. 107-117 ◽  
Author(s):  
Angela M. Kunzler ◽  
Andrea Chmitorz ◽  
Christiana Bagusat ◽  
Antonia J. Kaluza ◽  
Isabell Hoffmann ◽  
...  

Abstract. The Brief Resilience Scale (BRS) measures the ability to recover from stress. To provide further evidence for construct validity of the German BRS and to determine population-based norms, a large sample (N = 1,128) representative of the German adult population completed a survey including the BRS and instruments measuring perceived stress and the resilience factors optimism, self-efficacy, and locus of control. Confirmatory factor analyses showed best model fit for a five-factor model differentiating the ability to recover from stress from the three resilience factors. On the basis of latent and manifest correlations, convergent and discriminant validity of the BRS were fair to good. Female sex, older age, lower weekly working time, higher perceived stress, lower optimism, and self-efficacy as well as higher external locus of control predicted lower BRS scores, that is, lower ability to recover from stress.


2009 ◽  
Vol 17 (2) ◽  
pp. 105-113 ◽  
Author(s):  
Gail Wagnild

The purpose of this article is to review 12 completed studies that have used the Resilience Scale (Wagnild & Young, 1993). Completed studies were identified through PubMed and CINAHL. Studies that identified Resilience Scale scores, sample descriptions, and tested relationships between the Resilience Scale and study variables were selected for inclusion. Cronbach’s alpha coefficients ranged from .72 to .94 supporting the internal consistency reliability of the Resilience Scale. Hypothesized relationships between the Resilience Scale and study variables (e.g., forgiveness, stress, anxiety, health promoting activities) were supported strengthening the evidence for construct validity of the Resilience Scale. In the studies reported here, the Resilience Scale has been used with a variety of individuals of different ages, socioeconomic, and educational backgrounds. The Resilience Scale has performed as a reliable and valid tool to measure resilience and has been used with a wide range of study populations.


2021 ◽  
pp. 003435522199355
Author(s):  
Jeong Han Kim ◽  
Jaehoon Lee ◽  
Taryn V. Richardson ◽  
Dong Hun Lee ◽  
Brian T. McMahon ◽  
...  

The purpose of this study was to validate the Adapted Inventory of Virtues and Strengths (AIVS). AIVS is a unique instrument that operationalizes virtues in terms of character traits that are specially designed for psychosocial adaptation and rehabilitation. Data were collected from 464 individuals with disabilities and analyzed via the combination of exploratory ( n = 256) and confirmatory analyses ( n = 208). Although the results suggest dropping some items, the original five-virtue structure was supported and confirmed via both analyses. The construct validity of AIVS was further analyzed via correlation analyses between AIVS and other measures including Values in Action Inventory of Strengths 72-Item, Satisfaction with Life Scale, Connor-Davison Resilience Scale, and General Self-Efficacy Scale. The results suggest that with continuing research to document reliability and validity, AIVS has potential in the context of rehabilitation research. Further discussion on psychometric information of AIVS and future implications were presented.


2019 ◽  
Author(s):  
Diana Montoya-Williams ◽  
Molly Passarella ◽  
Scott A Lorch

Abstract Background: Cohort studies represent rich sources of data that can be used to link components of resilience to a variety of health-related outcomes. The Adolescent to Adult Health (Add Health) cohort study represents one of the largest data sets of the health and social context of adolescents transitioning into adulthood. It did not however use validated resilience scales in its data collection process. This study aimed to retrospectively create and validate a resilience scale using existing data from the cohort to better understand the resilience of its participants. Methods: Questions asked of participants during one Add Health data collection time period (N=9852) were matched to items on a well-known and widely validated resilience scale called the Connor Davidson Resilience Scale. Factor analysis and psychometric analyses were used to refine and validate this novel Adolescent to Adult Health Resilience Instrument. Construct validity utilized participants’ answers to the 10 item Center for Epidemiologic Studies Depression Scale, which has been used to validate other resilience scales. Results: Factor analysis yielded an instrument with 13 items that showed appropriate internal consistency statistics. Resilience scores in our study were normally distributed with no ceiling or floor effects. Our instrument had appropriate construct validity, negatively correlating to answers on the depression scale (r = -0.64, p<0.001). We also found demographic differences in mean resilience scores: lower resilience scores were seen among women and younger participants. Resilience scores increased with increasing education and household income. Conclusions: It is possible to retrospectively construct a resilience scale from existing cohort data and achieve good psychometric properties. The Adolescent to Adult Health Resilience Instrument can be used to better understand the relationship between resilience, social determinants of health and health outcomes among young adults using existing data, much of which is publicly available. Keywords: resilience, validation, Add Health, scale development


2011 ◽  
Vol 11 (1) ◽  
pp. 53-70 ◽  
Author(s):  
Odin Hjemdal ◽  
Oddgeir Friborg ◽  
Stéphanie Braun ◽  
Chantal Kempenaers ◽  
Paul Linkowski ◽  
...  

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