Brief Resilience Scale (BRS)

1. Abstract

The Brief Resilience Scale (BRS) was developed by Bruce W. Smith and colleagues in 2008 to address an empirical and conceptual gap in the measurement of human resilience. Unlike preexisting measurement instruments that operationalize resilience primarily through psychological resources, coping strategies, or adaptive personality traits—such as hardiness, optimism, self-efficacy, or social support—the BRS assesses resilience strictly according to its original, etymological, and functional definition: the direct ability to bounce back, resist illness, adapt, and recover from stress, adversity, or physical illness. The instrument consists of six self-report items evaluated on a 5-point Likert scale ranging from 1 (Strongly disagree) to 5 (Strongly agree). To mitigate acquiescence response bias, three items are positively worded (measuring the capacity to bounce back quickly) and three items are negatively phrased and reverse scored (measuring difficulty in recovering or prolonged recovery periods).

Extensive psychometric investigations across clinical, academic, healthy, and chronic disease cohorts have demonstrated that the BRS possesses robust psychometric properties. Confirmatory factor analytic investigations consistently support a unidimensional underlying construct of resilience, with two method factors occasionally emerging as artifacts of item valence rather than substantive psychological dimensions. The scale exhibits strong internal consistency, with Cronbach’s alpha coefficients typically ranging from .80 to .91 across diverse samples, alongside stable test-retest reliability across intervals spanning one to three months. In criterion and construct validation analyses, the BRS demonstrates significant convergent validity with measures of active coping, personal optimism, and purpose in life, while demonstrating exceptional discriminant validity by uniquely explaining variance in physiological symptoms, somatic complaints, chronic pain, anxiety, and depressive symptoms beyond standard measures of resilience resources. As a brief, highly reliable, and conceptually precise instrument, the BRS serves as an indispensable assessment tool within psychometric research, clinical psychology, psychosomatic medicine, and behavioral epidemiology.

2. Keywords

Brief Resilience Scale, BRS, psychological resilience, stress recovery, bounce back, psychometrics, coping, behavioral medicine, positive psychology, factor analysis, test-retest reliability, health psychology

3. Authors

The Brief Resilience Scale was conceptualized, developed, and empirically validated by an interdisciplinary research team led by Dr. Bruce W. Smith at the Department of Psychology, University of New Mexico, in collaboration with behavioral medicine researchers across multiple academic departments:

• Bruce W. Smith, Ph.D.: Associate Professor of Psychology, Department of Psychology, University of New Mexico, Albuquerque, NM, USA. Specialization in positive psychology, stress adaptation, resilience interventions, and mindfulness.
• Jeanne Dalen, Ph.D.: Department of Psychology, University of New Mexico; Research Associate at the Lovelace Respiratory Research Institute, Albuquerque, NM, USA. Specialization in behavioral medicine, pediatric health, and stress reactivity.
• Kathryn Wiggins, B.A.: Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
• Erin Tooley, Ph.D.: Department of Psychology, University of New Mexico; currently Associate Professor of Psychology, Roger Williams University, Bristol, RI, USA. Specialization in health behavior change and psycho-oncology.
• Paula Christopher, B.A.: Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
• Jennifer Bernard, Ph.D.: Department of Psychology, University of New Mexico, Albuquerque, NM, USA.

Correspondence regarding the foundational psychometric development of the scale may be directed to Dr. Bruce W. Smith at the University of New Mexico (Email: [email protected]).

4. Purpose

The primary purpose of the Brief Resilience Scale is to provide an efficient, valid, and theoretically unconfounded measure of an individual’s perceived ability to recover, recuperate, and bounce back following exposure to psychological, physical, environmental, or interpersonal adversity. Before the introduction of the BRS, the psychological literature frequently conflated three distinct aspects of the stress-adaptation paradigm: (a) resilience resources or protective factors (e.g., self-esteem, active coping styles, social capital, optimism), (b) the actual functional process or trajectory of bouncing back from acute or chronic stressors, and (c) the resultant positive adaptation outcomes (e.g., psychological well-being, absence of psychopathology). Prominent existing scales, such as the Resilience Scale (Wagnild & Young, 1993) or the Connor-Davidson Resilience Scale (CD-RISC; Connor & Davidson, 2003), predominantly operationalized resilience by measuring protective traits, personal competence, and internal resources. Consequently, researchers could not independently test whether these internal resources actually facilitated recovery, because the resources themselves were embedded directly within the operational definition of the resilience scales.

The theoretical rationale of the BRS was to disentangle the measurement of resilience from its antecedent resources and its consequent outcomes. Smith and colleagues (2008) argued that the word “resilience” derives from the Latin verb resilire, meaning “to leap back” or “to rebound.” Thus, in physics and material science, resilience refers specifically to the capacity of a material or body to regain its original shape, position, or energy state after being subjected to deformation, compression, or tensile stress. Translating this mechanical definition directly to psychological and psychosomatic contexts, the BRS targets the core phenomenon of psychological rebound—the speed, efficiency, and completeness with which an individual returns to baseline psychological or physiological functioning after experiencing disruption, shock, or high-magnitude life distress.

In clinical practice, the BRS is utilized to identify patients with diminished recuperative capacity who may be disproportionately susceptible to post-traumatic pathology, prolonged bereavement, somatic magnification, or chronic fatigue syndrome. In behavioral medicine and psychosomatic clinics, the BRS aids clinicians in establishing baseline recovery capacity prior to major surgical interventions, cardiac rehabilitation, cancer chemotherapy, or multimodal pain rehabilitation. In applied and academic research, the BRS is widely employed in epidemiological studies, occupational health assessments, and randomized controlled trials examining the efficacy of cognitive-behavioral therapy, mindfulness-based stress reduction (MBSR), and positive psychology interventions designed to enhance neurobiological and psychological recovery trajectories.

5. Psychological Construct

The psychological construct assessed by the Brief Resilience Scale is defined strictly as unitary bounce-back capacity—the functional, self-perceived ability to recover one’s equilibrium after experiencing difficult, stressful, or traumatic events. Unlike broader constructs that view resilience as an overarching constellation of personality hardiness, grit, or dynamic socio-ecological systems, the BRS operationalizes resilience as a specific, measurable dynamic property of the individual’s adaptive capacity. Although the scale is psychometrically unidimensional, the construct embodies three core interrelated facets of the recovery continuum:

1. Rapid Recovery and Rebound Velocity

This facet captures the temporal efficiency with which an individual terminates the psychological or somatic disruption provoked by a stressor. As illustrated by Item 1 (“I tend to bounce back quickly after hard times”) and Item 3 (“It does not take me long to recover from a stressful event”), this component measures how rapidly emotional equilibrium, cognitive clarity, and autonomic balance are reestablished. Individuals high in rebound velocity do not dwell excessively in prolonged acute stress reactions; their subjective distress curve exhibits a steep negative slope following the termination or stabilization of an adverse event.

2. Resistance to Prolonged Disruption

The inverse facet of resilience involves susceptibility to enduring psychological immobilization, rumination, or protracted negative affect following life disruption. Measured via reverse-scored items such as Item 4 (“It is hard for me to snap back when something bad happens”) and Item 6 (“I tend to take a long time to get over set-backs in my life”), this facet assesses whether acute setbacks transform into prolonged periods of functional impairment. Individuals low in this dimension display extended recovery latency, lingering in distress long after an adverse event has subsided, which frequently mediates the progression from acute stress to major depressive episodes or generalized anxiety disorders.

3. Ease of Stress Traversal

This facet reflects the subjective appraisal of effort, friction, and internal struggle experienced when traversing stressful episodes. Reflected by Item 2 (“I have a hard time making it through stressful events”) and Item 5 (“I usually come through difficult times with little trouble”), this dimension gauges the degree to which navigating adversity taxes the individual’s psychological bandwidth. Resilient individuals perceive adverse conditions as challenging yet manageable, expending fewer catastrophic cognitive resources and maintaining functional performance throughout the crisis.

Importantly, the BRS intentionally excludes cognitive appraisals (e.g., finding meaning), social connectivity (e.g., seeking help), and moral fortitude. By restricting the construct strictly to the dynamic phenomenon of stress-recovery kinetics, the BRS preserves discriminant validity and allows investigators to rigorously test structural equation models wherein psychosocial resources serve as exogenous predictors of BRS recovery, which in turn predicts health outcomes and psychological thriving.

6. Theoretical Framework

The conceptual framework underpinning the Brief Resilience Scale synthesizes classical stress-adaptation paradigms, biological homeostasis, and dynamic systems theories of health psychology. The foundational model derives from the seminal work of Richard Lazarus and Susan Folkman (1984) on cognitive appraisal and coping, integrated with the physiological concepts of homeostasis, allostasis, and allostatic load developed by Bruce McEwen (1998).

The Homeostatic-Allostatic Continuum

McEwen’s allostatic model posits that living organisms respond to environmental challenges by initiating neuroendocrine, cardiovascular, and immunological cascades (allostasis) to preserve core physiological parameters. In healthy adaptation, when the challenge resolves, these physiological systems rapidly return to baseline levels. However, if the physiological response fails to extinguish, or if recovery is incomplete, the individual accumulates “allostatic load”—the cumulative physiological wear and tear that leads to hypertension, immune dysregulation, metabolic disturbances, and psychological exhaustion. The BRS translates this physiological mechanism into a psychological self-report metric: resilient individuals exhibit an efficient allostatic switch that promptly extinguishes emotional and cognitive stress reactivity, whereas low-resilience individuals endure prolonged psychological activation that creates psychological allostatic strain.

Carver’s Four Outcomes of Adversity

The theoretical framework of the BRS also builds directly upon the model formulated by Charles S. Carver (1998), which outlines four distinct trajectories following traumatic or severe adversity: (1) succumbing to adversity (progressive deterioration or mortality), (2) surviving with permanent impairment (diminished functional baseline), (3) resilience / recovery (a temporary drop in functional capacity followed by a return to original homeostatic functioning), and (4) thriving or post-traumatic growth (surpassing the original baseline to achieve a superior level of functioning). Smith and colleagues explicitly aligned the BRS with Carver’s third trajectory: pure recovery. While post-traumatic growth is conceptually valuable, the authors argued that confounding basic recovery with existential transformation or thriving confuses the core construct of resilience. Hence, the BRS measures the functional return to baseline homeostasis rather than personal growth or ideological transformation.

The Broaden-and-Build and Dynamic Equilibrium Theories

Furthermore, the BRS interfaces with Barbara Fredrickson’s (2001) Broaden-and-Build Theory of positive emotions, specifically the “undoing hypothesis.” Fredrickson demonstrated that positive emotional experiences spontaneously attenuate the lingering cardiovascular and cognitive aftereffects of negative emotions. Resilient individuals leverage this regulatory mechanism to accelerate their own physiological and psychological recovery. By assessing subjective bounce-back velocity, the BRS evaluates the functional output of this restorative psychological architecture.

7. Validity

The psychometric validity of the Brief Resilience Scale has been rigorously evaluated across the four original validation samples reported by Smith et al. (2008)—encompassing 128 undergraduate students (Sample 1), 64 undergraduate students evaluated over time (Sample 2), 112 cardiac rehabilitation patients (Sample 3), and 50 patients diagnosed with fibromyalgia alongside 20 healthy age-matched control subjects (Sample 4)—as well as numerous international cross-validation studies.

Convergent Validity

The BRS exhibits statistically significant, moderate-to-high correlations with recognized positive psychological traits and coping modalities:

• Resilience Resources: Demonstrates substantial positive correlations with the Connor-Davidson Resilience Scale (CD-RISC; r = .59 to .76) and the Ego-Resiliency Scale (ER89; r = .46 to .53), confirming that it measures a concordant overarching psychological domain.
• Optimism and Self-Efficacy: Correlates positively with generalized optimism measured by the Life Orientation Test-Revised (LOT-R; r = .40 to .69) and the General Self-Efficacy Scale (GSE; r = .42 to .59).
• Coping Strategies: Positively associated with active coping (r = .38, p < .001) and cognitive reframing (r = .36, p < .001) on the Brief COPE inventory, while inversely associated with behavioral disengagement (r = -.43, p < .001) and denial (r = -.30, p < .01).
• Affective Tone: Significantly associated with positive affect measured by the PANAS (r = .39 to .49).

Discriminant and Incremental Validity

The discriminant validity of the BRS is particularly robust when differentiating recovery capacity from negative affective states, physical fatigue, and somatic distress:

• Affective Pathology: Exhibits strong, statistically significant negative correlations with the Beck Depression Inventory (BDI; r = -.56 to -.64, p < .001) and the State-Trait Anxiety Inventory (STAI-Trait; r = -.59 to -.71, p < .001).
• Physical Symptoms and Chronic Pain: Among clinical cohorts with fibromyalgia and chronic pain, higher BRS scores correlate significantly with lower tender-point pain ratings (r = -.32), reduced physical fatigue (Multidimensional Fatigue Inventory; r = -.41 to -.48), and fewer reported somatic symptoms (Bartone’s Somatization Scale; r = -.35 to -.42).
• Unique Incremental Predictive Power: In hierarchical regression analyses conducted by Smith et al. (2008), the BRS accounted for unique variance in anxiety, depression, and somatic complaints even after controlling for age, gender, general health status, the 14-item Resilience Scale (RS), optimism (LOT-R), and social support (ISEL). Specifically, while scales like the CD-RISC failed to uniquely predict physical pain intensity or somatic symptoms after controlling for optimism, the BRS explained an additional 3% to 6% of unique variance (p < .01), demonstrating that bounce-back capacity uniquely informs physical symptom reporting beyond broad positive personality dispositions.

8. Reliability

The Brief Resilience Scale displays high empirical reliability across culturally diverse, clinical, and non-clinical populations. Both internal consistency reliability and temporal stability (test-retest reliability) have been extensively replicated.

Internal Consistency

In the seminal psychometric investigation by Smith et al. (2008), Cronbach’s alpha coefficients demonstrated excellent consistency across four diverse investigation samples:

• Sample 1 (College Students, N = 128): α = .84
• Sample 2 (College Students, N = 64): α = .80 at baseline, α = .86 at 1-month follow-up
• Sample 3 (Cardiac Patients, N = 112): α = .87
• Sample 4 (Chronic Pain / Fibromyalgia, N = 50): α = .91

Subsequent psychometric cross-validation investigations around the globe have established comparable or superior internal consistency. For instance, the German validation by Chmitorz et al. (2018) in a representative general population cohort (N = 1,481) yielded α = .85; the Spanish validation by Rodríguez-Rey et al. (2016) in parents of critically ill pediatric patients reported α = .87; and the Dutch translation by Windle et al. (2011) produced α = .83. Corrected item-total correlations across these studies systematically exceed .50, typically ranging between .54 and .78, confirming that each individual item contributes meaningfully to the common variance of the measure.

Test-Retest Stability

Temporal stability evaluations confirm that the BRS captures a stable dispositional capacity while remaining responsive to significant psychological interventions:

• One-Month Interval: In Sample 2 of Smith et al. (2008), the test-retest intraclass correlation coefficient over a 1-month interval was r = .69 (p < .001).
• Three-Month Interval: Evaluated in Sample 2 across a 3-month window, the stability coefficient remained robust at r = .62 (p < .001).
• Longitudinal Studies: In longitudinal assessments spanning 6 to 12 months in non-interventional community cohorts, test-retest coefficients have consistently ranged between .60 and .72, establishing that bounce-back capacity functions as a moderately enduring personality trait that retains structural stability across time in the absence of targeted psychological therapy or major trauma.

9. Factor Analysis

The structural dimensionality of the BRS has been the subject of extensive psychometric inquiry, centering on whether the scale reflects a pure unidimensional construct or an artifactual two-factor structure driven by item valence (positively vs. negatively worded items).

Exploratory Factor Analysis (EFA)

In the original EFA conducted by Smith et al. (2008) utilizing principal components analysis (PCA) with varimax and oblimin rotations across the initial student cohorts, a single-factor solution was extracted. The first unrotated factor accounted for 55% to 67% of the total variance across the four samples, with an eigenvalue substantially exceeding 3.0 (typically 3.42 to 4.01). The second factor had eigenvalues consistently below 1.0 (ranging from 0.62 to 0.81), satisfying the Kaiser-Guttman retention criterion and Cattell’s scree test for unidimensionality. In this unidimensional model, all six items exhibited salient standardized factor loadings:

• Item 1: λ = .68 to .83
• Item 2 (Reverse): λ = .67 to .78
• Item 3: λ = .69 to .82
• Item 4 (Reverse): λ = .73 to .86
• Item 5: λ = .66 to .80
• Item 6 (Reverse): λ = .70 to .84

Confirmatory Factor Analysis (CFA) and Method Effects

Subsequent international confirmatory factor analyses—such as investigations by Amat et al. (2014), Rodríguez-Rey et al. (2016), and Chmitorz et al. (2018)—tested three competing structural models:

1. Model 1: Strict Unidimensional Model. All 6 items load onto a single general resilience factor. While this model typically yields adequate fit, the chi-square statistic is frequently significant, with Comparative Fit Index (CFI) values around .90 to .93 and Root Mean Square Error of Approximation (RMSEA) values around .08 to .10.
2. Model 2: Two-Factor Oblique Model. Positively worded items (1, 3, 5) load onto a “Bounce Back” factor, while negatively worded items (2, 4, 6) load onto a “Vulnerability / Slow Recovery” factor. Although this model routinely exhibits superior fit indices (CFI > .97, RMSEA < .05), the latent inter-factor correlation is typically very high (r = -.75 to -.88), suggesting that the two factors do not represent distinct theoretical constructs.
3. Model 3: Bifactor or Correlated Uniqueness Model (CTCM). A single substantive resilience trait factor is modeled alongside a method factor capturing reverse-worded items (or correlated error variances among items 2, 4, and 6). This model consistently exhibits outstanding model fit across diverse international cohorts: χ²/df < 2.5, CFI = .98 to .99, Tucker-Lewis Index (TLI) = .97 to .99, and RMSEA = .03 to .05.

Psychometric consensus strongly concludes that the two-factor solutions observed in empirical research represent method artifacts stemming from acquiescence response tendencies and item valence rather than substantive multidimensionality. Therefore, researchers and clinicians are advised to interpret and utilize the BRS as a unified, unidimensional scale representing generalized bounce-back capacity.

10. Instrument / Measurement Tool

The standard administrative and structural parameters of the Brief Resilience Scale are outlined below:

• Instrument Name: Brief Resilience Scale (BRS)
• Primary Citation: 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.
• Construct Assessed: The direct ability to recover, recuperate, and bounce back from stressful events, physical illnesses, and psychosocial adversity.
• Test Type: Self-administered psychological assessment questionnaire.
• Target Population: Adults and adolescents aged 14 and older; extensively validated in general community, collegiate, clinical (cardiac, fibromyalgia, cancer, chronic pain), and occupational cohorts.
• Administration Time: Approximately 1 to 2 minutes.
• Total Item Count: 6 items.
• Item Valence Distribution:
  • 3 positively worded items: Item 1, Item 3, Item 5
  • 3 negatively worded items: Item 2, Item 4, Item 6
• Response Scale: 5-point Likert scale: 1 = Strongly disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly agree
• Scoring Procedure:
  1. Reverse Score: Reverse the numerical ratings of the three negatively worded items: Items 2, 4, and 6. The transformation is executed as follows: 1 becomes 5, 2 becomes 4, 3 remains 3, 4 becomes 2, and 5 becomes 1.
  2. Summation / Mean Computation: Sum the recorded responses of all six items (incorporating the recoded values for Items 2, 4, and 6) and divide by the total number of answered items (6).
  3. Scale Score: The final BRS score is a continuous value ranging from 1.00 to 5.00, representing the respondent’s mean score across the inventory.
• Normative Cut-off Guidelines (Smith et al., 2013):
  • Low Resilience: 1.00 – 2.99
  • Normal / Average Resilience: 3.00 – 4.30
  • High Resilience: 4.31 – 5.00

11. Permissions & Fee and Test Year

The Brief Resilience Scale was originally developed and published in 2008 by Dr. Bruce W. Smith and his colleagues at the University of New Mexico. The initial validation was published in the International Journal of Behavioral Medicine.

Regarding permissions and clinical or empirical usage:

• Open Access and Commercial Fees: The BRS is an open-access psychometric instrument. It is placed in the public domain for research, academic, educational, and clinical non-profit applications. No fees or royalties are required to administer, score, or incorporate the BRS into empirical studies or patient evaluations.
• Permission Requirements: Formal written permission from the authors or publisher is not required for academic research, student theses, dissertation research, or standard clinical screening, provided that proper academic attribution is credited to the original validation article (Smith et al., 2008).
• Commercial Applications: Commercial digital platforms, profit-driven enterprise wellness applications, and proprietary corporate software consulting systems wishing to integrate the scale should contact the corresponding author (Dr. Bruce W. Smith) to verify licensing protocols and copyright compliance.

12. References

• Amat, S., Subhan, M., Jaafar, W. M. W., Mahmud, Z., & Johari, K. S. K. (2014). Evaluation and validation of Brief Resilience Scale in Malaysian context. Asian Social Science, 10(21), 54–61. https://doi.org/10.5539/ass.v10n21p54
• Carver, C. S. (1998). Resilience and thriving: Issues, models, and linkages. Journal of Social Issues, 54(2), 245–266. https://doi.org/10.1111/j.1540-4560.1998.tb01217.x
• Chmitorz, A., Kunzler, A., Helmreich, I., Tüscher, O., Kalisch, R., Kubiak, T., Wessa, M., & Lieb, K. (2018). Intervention studies to foster resilience in humans: A systematic review and German version of the Brief Resilience Scale. PLOS ONE, 13(2), Article e0192710. https://doi.org/10.1371/journal.pone.0192710
• Connor, K. M., & Davidson, J. R. (2003). Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113
• Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226. https://doi.org/10.1037/0003-066X.56.3.218
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
• McEwen, B. S. (1998). Protective and damaging effects of stress mediators. New England Journal of Medicine, 338(3), 171–179. https://doi.org/10.1056/NEJM199801153380307
• Rodríguez-Rey, R., Alonso-Tapia, J., & Hernansaiz-Garrido, H. (2016). Reliability and validity of the Spanish version of the Brief Resilience Scale (BRS) in parents of critically ill children. Psicothema, 28(1), 101–106. https://doi.org/10.7334/psicothema2015.221
• 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
• Smith, B. W., Epstein, E. M., Ortiz, J. A., Christopher, P. J., & Tooley, E. M. (2013). The Foundations of Resilience: What are the Most Important Resources for Recovery from Stress? In M. Kent, M. C. Davis, & J. W. Reich (Eds.), The Resilience Handbook: Approaches to Stress and Trauma (pp. 167–183). Routledge.
• Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, 1(2), 165–178.
• Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, Article 8. https://doi.org/10.1186/1477-7525-9-8

13. Items of the Scale (Questionnaire)