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Item type:Publication, Resilience profiles across context: A latent profile analysis in a German, Greek, and Swiss sample of adolescents(Public Library of Science, 2022-01-01)The present study investigated resilience profiles (based on levels of symptoms of anxiety and depression and five dimensions of protective factors) of 1,160 students from Germany (n = 346, 46.0% females, Mage = 12.77, SDage = 0.78), Greece (n = 439, 54.5% females, Mage = 12.68, SDage = 0.69), and Switzerland (n = 375, 44.5% females, Mage = 12.29, SDage = 0.88) using latent profile analyses. We also checked for measurement invariance and investigated the influence of gender and migration on class membership. A three-profile-solution was found for Switzerland (nonresilient 22.1%, moderately resilient 42.9%, untroubled 34.9%), and a four-profile-solution was the best fitting model for Germany (nonresilient 15.7%, moderately resilient 44.2%, untroubled 27.3%, resilient 12.7%) and Greece (nonresilient 21.0%, moderately resilient 30.8%, untroubled 24.9%, resilient 23.3%). Measurement invariance did not hold across the three countries. Profile differences regarding class membership predictions were detected for Germany and Greece, but none for Switzerland. Results implicate that resilience profiles are highly contextually sensitive, and resilience research findings should not be generalized considering the particularity of contexts, people, and outcomes. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Resilience patterns of Swiss adolescents before and during the COVID-19 pandemic: a latent transition analysis(Routledge, 2022-01-01)This study investigated resilience patterns and predictors of these patterns (i.e. gender and migration background) among Swiss early adolescents in times of COVID-19. A total of 317 pupils participated at two time points. We conducted two separate latent class analyses and a latent transition analysis using mental health issues and protective factors as indicators. The results revealed three groups: resilient (high mental health issues, high protective factors), nonresilient (high mental health issues, low protective factors), and untroubled (low mental health issues, high protective factors). The resilient group was the most stable (91% stability), whereas the untroubled was the least stable (69% stability). Boys were more likely to be part of the untroubled group than the other groups at the second time point. Gender at the first time point and migration background at both time points were nonsignificant as predictors. Findings highlight the importance of group-specific research, health promotion, and interventions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Psychometric properties of the Resilience Scale for Adults (RSA): a cross-cultural validation in a Chinese and a German-speaking Swiss sample(Springer Science+Business Media, 2026-04-01)Resilience refers to the ability to adapt and recover from adversity, influenced by intrapersonal and social factors. Given the prevalence of mental health problems, understanding and accurately measuring resilience in diverse populations has become a pressing priority in health and clinical psychology. The Resilience Scale for Adults (RSA) is widely used to assess protective factors. Although several cross-cultural studies have supported the RSA's construct validity, evidence from Mainland China using confirmatory approaches and from the revised German version in Switzerland remains limited. This study therefore examined the RSA's psychometric properties in these two culturally distinct samples/contexts (China and Switzerland) by focusing on factor structure and construct validity. An online survey collected data from 798 Chinese workers and 1,114 Swiss university students. The psychometric properties of the RSA were evaluated through confirmatory factor analysis (CFA), measurement invariance testing, and validity analyses. Convergent and incremental validity were examined using correlations, regressions, and structural equation modeling (SEM). CFA supported a six-factor solution in both samples. Convergent validity was confirmed through significant correlations with self-esteem, self-efficacy, satisfaction with life, depressive symptoms, stress, and burnout. After controlling for life satisfaction, RSA scores predicted additional variance in depressive symptoms (21% in China, 4% in Switzerland). In the Swiss sample, social competence, family cohesion, and social resources did not significantly predict depressive symptoms. The RSA is a valuable measure of protective resilience factors. However, generalizability is limited due to sample differences, which should be considered when interpreting the findings.1
