The Brief Resilience Scale (BRS) is a 6-item self-report measure for adults aged 18 years and older designed to assess an individual’s ability to bounce back or recover from stress, adversity, and challenging life circumstances (Smith et al., 2008). Unlike broader resilience measures that evaluate multiple protective factors or resources, the BRS uniquely focuses on the core definitional aspect of resilience, the capacity for adaptive recovery and return to baseline functioning after experiencing difficulties.
Developed within the theoretical framework that distinguishes resilience as bouncing back from stress versus resistance to illness or thriving despite adversity, the scale addresses a critical gap in resilience measurement. Prior resilience measures often conflated the construct with protective factors that enable resilience (such as optimism, social support, or coping strategies), rather than measuring the specific ability to recover. The scale was developed to provide a pure assessment of this fundamental resilience capacity, recognising that the ability to bounce back may be particularly important for individuals who are already ill or facing ongoing health-related stressors.
BRS Example Item
Research has consistently demonstrated that the BRS correlates positively with psychological well-being dimensions, positive affect, physical health, optimism, life satisfaction, and mindfulness (Kyriazos et al., 2018; Smith et al., 2025). Conversely, it shows strong negative correlations with depression, negative affect, perceived stress, and anxiety (Kyriazos et al., 2018; Smith et al., 2008).
Clinicians utilise the BRS to identify clients’ natural recovery strengths that can be leveraged in treatment planning, assess resilience as a protective factor when evaluating risk and prognosis, and monitor changes in bounce-back capacity as therapy progresses. The scale is particularly valuable for distinguishing between individuals who may benefit from resilience-building interventions versus those who already possess strong recovery abilities and may need different therapeutic approaches. For instance, when working with a client managing chronic pain, the BRS can reveal whether their primary challenge is the pain itself or their capacity to recover from pain-related setbacks, informing whether to prioritise pain management strategies or resilience-building interventions. The BRS has shown particular utility in mindfulness-based interventions, where increases in BRS scores have been documented as both an outcome measure and potential mediator of therapeutic benefits (Smith et al., 2025).
A total raw score is presented ranging from 6 to 30, with a higher score indicating more resilience and a better ability to bounce back from stress and adversity. Lower scores suggest difficulty recovering from setbacks and may indicate the need for resilience-building interventions or additional support during challenging periods.
In addition, a percentile is calculated using an Australian sample of 2,710 students (Whatnall et al., 2019), with a percentile score of 50 representing a typical and reasonably healthy level of resilience.
On first administration, a bar graph of the total percentile is displayed, showing how a client’s score compares to a normative sample. On multiple administrations, a line graph of the total percentile is shown to track changes over time.
The BRS demonstrates robust construct validity through consistent relationships with theoretically related constructs. Convergent validity is evidenced by moderate to strong positive correlations with measures of psychological well-being, including emotional, social, and psychological dimensions. The scale shows particularly strong relationships with positive mental health indicators while maintaining appropriate discriminant validity from measures assessing different aspects of resilience, such as protective resources or coping strategies. McKay and colleagues (2021) demonstrated that the BRS maintains its unidimensional structure even when accounting for method effects, supporting its conceptual clarity as a pure measure of bounce-back ability rather than a multifaceted resilience construct.
Internal consistency reliability for the BRS is consistently excellent across diverse samples. Smith et al. (2008) reported alpha coefficients ranging from .80 to .91 across four initial validation samples. Subsequent international validations have replicated these strong reliability findings, with Kyriazos et al. (2018) reporting alpha values between .80 and .91, and McKay et al. documenting similarly robust internal consistency. Test-retest reliability, while less extensively studied, has shown acceptable stability over time periods appropriate for measuring a potentially malleable construct like resilience.
Factor analytic studies consistently support a unidimensional structure for the BRS, though methodological considerations regarding negatively worded items have generated discussion. The original validation using Principal Component Analysis revealed a single factor explaining 55-67% of the variance across samples. Kyriazos et al. (2018) conducted extensive confirmatory factor analyses, testing both single-factor and two-factor models. While some researchers initially proposed a two-factor structure distinguishing positively and negatively worded items, McKay et al. conclusively demonstrated through rigorous confirmatory factor analysis that this apparent bifactor structure represents methodological artefact rather than substantive constructs. Their analyses showed that a single-factor model accounting for method effects in the negatively worded items provides the best fit to the data, with no evidence supporting conceptually distinct “resilience” and “succumbing” factors.
Normative data is available from an Australian university student sample (n = 2,710, mean age 26.9 years), with an observed mean score of 19.8 (SD = 4.8) (Whatnall et al., 2019).
Research shows that bounce-back resilience, as measured by the BRS, has strong relationships with various mental health indicators. Higher BRS scores correlate positively with psychological wellbeing, life satisfaction, positive affect, and mindfulness, while showing negative correlations with depression, anxiety, perceived stress, and negative affect. This suggests that the ability to recover from setbacks serves as a protective factor against mental health difficulties. Importantly, resilience isn’t just about avoiding problems but rather about how quickly and effectively someone returns to their baseline after encountering challenges.
The BRS’s focus on pure bounce-back ability makes it unique among resilience measures. While comprehensive resilience scales might assess multiple domains like personal competence, social resources, family cohesion, or spiritual influences. This makes the BRS ideal when you want to quickly assess or monitor changes in a client’s fundamental ability to recover, particularly in time-limited settings or when repeated measurement is needed.
The BRS specifically measures resilience as the ability to “bounce back” or recover from stress and adversity, which is distinct from other conceptualisations of resilience. While many resilience measures assess protective factors like optimism, social support, or coping strategies, the BRS focuses purely on the core capacity to return to baseline functioning after experiencing difficulties. This distinction is important because someone might have many protective resources but still struggle to recover from setbacks, or conversely, someone might bounce back quickly despite having fewer external supports.
While related, the BRS specifically measures bounce-back ability rather than persistence (grit) or resistance to stress (hardiness). Someone might be very persistent but struggle to recover from setbacks, making these distinct psychological constructs worth assessing separately.
Yes, research shows BRS scores can increase through various interventions, particularly mindfulness-based approaches. Resilience-building activities that focus on recovery skills, stress management, and adaptive coping can help improve bounce-back capacity over time.
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. https://doi.org/10.1080/10705500802222972
Chmitorz, A., Wenzel, M., Stieglitz, R.-D., Kunzler, A., Bagusat, C., Helmreich, I., Gerlicher, A., Kampa, M., Kubiak, T., Kalisch, R., Lieb, K., & Tüscher, O. (2018). Population-based validation of a German version of the Brief Resilience Scale. PloS One, 13(2), e0192761. https://doi.org/10.1371/journal.pone.0192761
Fung, S.-F. (2020). Validity of the Brief Resilience Scale and Brief Resilient Coping Scale in a Chinese Sample. International Journal of Environmental Research and Public Health, 17(4). https://doi.org/10.3390/ijerph17041265
Kunzler, A. M., Chmitorz, A., Bagusat, C., Kaluza, A. J., Hoffmann, I., Schäfer, M., Quiring, O., Rigotti, T., Kalisch, R., Tüscher, O., Franke, A. G., van Dick, R., & Lieb, K. (2018). Construct Validity and Population-Based Norms of the German Brief Resilience Scale (BRS). European Journal of Health Psychology, 25(3), 107–117. https://doi.org/10.1027/2512-8442/a000016
Kyriazos, T. A., Stalikas, A., Prassa, K., Galanakis, M., Yotsidi, V., & Lakioti, A. (2018). Psychometric evidence of the brief resilience scale (BRS) and modeling distinctiveness of resilience from depression and stress. Psychology , 09(07), 1828–1857. https://doi.org/10.4236/psych.2018.97107
Rodríguez-Rey, R., Alonso-Tapia, J., & Hernansaiz-Garrido, H. (2016). Reliability and validity of the Brief Resilience Scale (BRS) Spanish Version. Psychological Assessment, 28(5), e101–e110. https://doi.org/10.1037/pas0000191
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. https://doi.org/10.1080/10705500802222972
Whatnall, M. C., Patterson, A. J., Siew, Y. Y., Kay-Lambkin, F., & Hutchesson, M. J. (2019). Are Psychological Distress and Resilience Associated with Dietary Intake Among Australian University Students? International Journal of Environmental Research and Public Health, 16(21). https://doi.org/10.3390/ijerph16214099
Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, 8. https://doi.org/10.1186/1477-7525-9-8
