1. Abstract
The Connor-Davidson Resilience Scale (CD-RISC) is a widely recognized psychometric instrument designed to quantify individual psychological resilience, conceptualized as the capacity to thrive, adapt, and maintain functional equilibrium in the face of adversity, trauma, tragedy, or significant life stressors. Developed by psychiatrists Kathryn M. Connor and Jonathan R. T. Davidson in 2003, the original instrument consists of 25 self-administered items evaluated on a 5-point Likert-type scale ranging from 0 (not true at all) to 4 (true nearly all the time), yielding a total global score between 0 and 100. Connor and Davidson originally conceptualized resilience as a multidimensional construct, deriving a five-factor structure comprising: (1) personal competence, high standards, and tenacity; (2) trust in one’s instincts, tolerance of negative affect, and the strengthening effects of stress; (3) positive acceptance of change and secure relationships; (4) control; and (5) spiritual influences. Subsequent psychometric analyses across diverse cultures and psychiatric populations have affirmed its robust internal consistency (Cronbach’s alpha typically spanning $\alpha = .89$ to $.93$) and strong test-retest reliability ($r = .87$). Although later structural investigations, notably by Campbell-Sills and Stein (2007), highlighted psychometric redundancies that spurred the development of a unidimensional 10-item variant (CD-RISC-10), the original 25-item CD-RISC remains an international benchmark in clinical trials, psychiatric epidemiology, occupational health psychology, and intervention research assessing the efficacy of pharmacological and psychosocial stress-reduction protocols.
2. Keywords
Connor-Davidson Resilience Scale, CD-RISC, psychological resilience, psychometrics, stress coping, hardiness, post-traumatic growth, factor analysis, trauma recovery, psychiatric assessment, clinical measurement.
3. Authors
The Connor-Davidson Resilience Scale was authored by Kathryn M. Connor, M.D., and Jonathan R. T. Davidson, M.D. Both researchers developed and standardized the scale during their tenure at the Department of Psychiatry and Behavioral Sciences at Duke University Medical Center in Durham, North Carolina, USA.
Dr. Jonathan R. T. Davidson is an internationally recognized emeritus professor of psychiatry whose pioneering clinical research centers on post-traumatic stress disorder (PTSD), generalized anxiety disorder, social phobia, and the pharmacological and integrative treatment of mood and trauma-related conditions. Dr. Kathryn M. Connor has contributed extensively to clinical trials evaluating novel pharmacotherapies and psychotherapeutic interventions designed to alleviate anxiety disorders and cultivate adaptive coping mechanisms among trauma-exposed cohorts. Administrative communications, formal scale licensing, and documentation are coordinated through the authors’ dedicated psychometric repository via the official CD-RISC organization.
4. Purpose
Historically, psychiatric assessment and clinical psychology operated primarily within a deficit-based paradigm, focusing almost exclusively on quantifying symptom severity, psychological vulnerability, and functional impairment. Diagnostic manuals such as the DSM-IV prioritized the identification of pathology following adverse events rather than mapping the intrapsychic and interpersonal protective mechanisms that enable individuals to resist psychiatric morbidity. The primary purpose of the Connor-Davidson Resilience Scale was to establish a clinically responsive, psychometrically robust, and brief operational measure of psychological resilience capable of distinguishing between varying levels of adaptive coping and monitoring longitudinal recovery during psychiatric and medical treatments.
The clinical and research applications of the CD-RISC are comprehensive:
- Treatment Outcome Monitoring: Connor and Davidson developed the scale to serve as an objective index of treatment response. Because resilience is dynamic rather than a fixed, immutable personality trait, clinical trials utilize the CD-RISC to evaluate whether therapeutic modalities—such as cognitive-behavioral therapy (CBT), mindfulness-based interventions, or pharmacological agents (e.g., SSRIs)—not only suppress distress but actively augment adaptive resilience.
- Risk Stratification and Screening: The scale is widely employed in high-stress operational environments, including military deployments, emergency medical services, disaster relief teams, and law enforcement agencies, to assess baseline stress tolerance and identify personnel who may benefit from preventive stress-inoculation protocols.
- Medical and Somatic Rehabilitation: Research across oncology, cardiology, neurology (e.g., stroke survivors), and chronic pain clinics employs the CD-RISC to investigate the relationship between psychological fortitude, neuroendocrine modulation, and physiological recovery trajectories. High resilience scores frequently correlate with greater treatment compliance, lower perceived disability, and superior health-related quality of life.
- Theoretical Exploration of Adversity Trajectories: In epidemiological and developmental research, the scale facilitates the exploration of post-traumatic growth, differentiating individuals who develop maladaptive avoidance or chronic depressive syndromes from those who demonstrate psychological rebound or post-adversity thriving.
5. Psychological Construct
The construct of resilience measured by the CD-RISC encompasses a multifaceted constellation of personal qualities, cognitive schemas, and behavioral strategies that mitigate the deleterious effects of stress. Grounded in the original factor analysis performed by Connor and Davidson (2003), the construct is articulated through five distinct yet interrelated dimensions:
Factor 1: Personal Competence, High Standards, and Tenacity
This central dimension reflects an individual’s conviction that they possess the internal agency, problem-solving skills, and psychological endurance necessary to achieve difficult objectives despite formidable obstacles. Tenacity embodies perseverance and dedication, ensuring that an individual does not capitulate when confronted with repeated setbacks. Representative items within this dimension include the conviction that past achievements foster confidence for future challenges, the drive to exert one’s best effort regardless of outcome certainty, and the maintenance of laser focus and cognitive clarity under elevated pressure.
Factor 2: Trust in One’s Instincts, Tolerance of Negative Affect, and Strengthening Effects of Stress
Resilience does not denote the absence of distress; rather, it reflects the capacity to tolerate intense, dysphoric emotional states—such as fear, grief, and anger—without succumbing to psychological disintegration or resorting to maladaptive coping (e.g., substance misuse or severe avoidance). This dimension captures an individual’s intuitive decision-making under uncertainty, the ability to manage unpleasant affect, and the cognitive reappraisal mechanism that interprets stress not merely as toxic, but as a crucible that fosters psychological maturation and emotional fortitude.
Factor 3: Positive Acceptance of Change and Secure Relationships
Cognitive flexibility and interpersonal connectedness represent foundational pillars of adaptive coping. This subscale measures psychological plasticity—the capacity to pivot, reframe assumptions, and adapt constructively when environmental circumstances shift unexpectedly. Concurrently, it captures relational security: the availability of, and willingness to lean on, close, trusting interpersonal attachments during acute crises. Secure attachments serve as interpersonal distress buffers, modulating autonomic hyperarousal and reducing subjective vulnerability.
Factor 4: Control
Rooted in Rotter’s locus of control paradigm and Kobasa’s hardiness conceptualization, this dimension quantifies the extent to which an individual perceives themselves as the active architect of their destiny rather than a passive casualty of external circumstances. It measures an individual’s perceived autonomy, their preference to take the lead in resolving complex life problems, and the deliberate mobilization of resources toward goal attainment, even when confronting substantial roadblocks.
Factor 5: Spiritual Influences
The final dimension addresses existential and spiritual frameworks that provide a coherent schema for interpreting suffering. It measures an individual’s openness to transcendent forces, such as the belief that events occur for an overarching purpose or that spiritual faith and fate can offer solace and orientation when rational problem-solving avenues have been entirely exhausted. This facet acknowledges that existential meaning-making functions as a protective buffer against existential despair.
6. Theoretical Framework
The theoretical architecture of the CD-RISC synthesizes several foundational models from clinical psychology, developmental psychopathology, and stress physiology:
Kobasa’s Hardiness Theory
The primary theoretical progenitor of the CD-RISC is Suzanne C. Kobasa’s (1979) model of psychological hardiness. Kobasa delineated three core existential components that buffer individuals against illness induced by severe life stress: Commitment (the tendency to involve oneself fully in life’s activities rather than experiencing alienation), Control (the belief that one can influence events rather than defaulting to helplessness), and Challenge (the cognitive appraisal of change not as an existential threat, but as an opportunity for personal growth). Connor and Davidson explicitly operationalized these three “Cs” within the CD-RISC items, validating that hardy appraisals actively attenuate hypothalamic-pituitary-adrenal (HPA) axis hyperreactivity.
Rutter’s Interactive Model of Resilience
Sir Michael Rutter (1985) posited that resilience is not a static trait, but an interactive, dynamic developmental process wherein protective factors modify, ameliorate, or alter an individual’s response to environmental hazards. Rutter emphasized that resilience is demonstrated only in the presence of demonstrable risk or adversity. The CD-RISC operationalizes this dynamic framework by incorporating questions that probe subjective reactions precisely within contexts of distress, failure, and hopelessness, capturing how personal protective factors disrupt escalating cycles of maladaptive reactivity.
Bandura’s Social Cognitive and Self-Efficacy Theory
Albert Bandura’s (1977) construct of self-efficacy—the subjective belief in one’s capability to execute courses of action required to manage prospective situations—directly informs the CD-RISC’s focus on personal competence and goal attainment. Highly resilient individuals maintain strong self-efficacy appraisals, which predict lower somatic anxiety, higher sustained task performance, and reduced susceptibility to learned helplessness.
Lazarus and Folkman’s Transactional Model of Stress and Coping
The transactional paradigm advanced by Richard Lazarus and Susan Folkman (1984) asserts that psychological stress is determined by cognitive appraisals: primary appraisal (evaluating the personal significance of an event as harm, threat, or challenge) and secondary appraisal (evaluating the coping options available). The CD-RISC assesses items indicative of adaptive secondary appraisals (e.g., knowing where to turn for help, remaining focused under pressure, and viewing stressful experiences as strengthening mechanisms), capturing cognitive-reappraisal competence in real time.
7. Validity
Extensive empirical studies have validated the psychometric architecture of the CD-RISC across clinical, community, and cross-cultural cohorts:
Construct and Convergent Validity
Connor and Davidson (2003) established convergent validity by evaluating correlations between the CD-RISC and established instruments measuring stress resistance, vulnerability, and subjective well-being. Significant positive correlations were identified between CD-RISC total scores and the Kobasa Hardiness Measure ($r = .83$, $p < .001$), demonstrating that the scale aligns robustly with hardy personality paradigms. Furthermore, the scale exhibited statistically significant positive relationships with general self-efficacy, positive affect, and measures of subjective mental well-being, such as the Warwick-Edinburgh Mental Well-being Scale (WEMWBS).
Discriminant and Divergent Validity
Discriminant validity has been consistently confirmed through moderate-to-strong negative correlations with measures of psychopathology and stress vulnerability. In the initial validation cohort, CD-RISC scores correlated inversely with the Sheehan Stress Vulnerability Scale ($r = -.32$, $p < .001$), the Perceived Stress Scale (PSS-10; $r = -.76$), the Beck Depression Inventory (BDI-II), the Center for Epidemiologic Studies Depression Scale (CES-D), and the Hamilton Rating Scale for Anxiety (HAM-A). Individuals exhibiting major depressive episodes or chronic PTSD consistently demonstrate significantly lower mean CD-RISC scores than non-clinical community controls.
Predictive and Known-Groups Validity
The scale effectively differentiates between clinical and non-clinical cohorts along an expected gradient of resilience. Connor and Davidson (2003) demonstrated a stepwise progression in mean resilience scores: psychiatric outpatients enrolled in clinical trials for PTSD exhibited the lowest mean scores ($M = 52.8$), followed by generalized anxiety disorder patients, psychiatric outpatients in primary care ($M = 68.0$), and finally, general community adult populations exhibiting the highest levels of baseline resilience ($M = 80.4$).
Furthermore, predictive validity has been verified in longitudinal intervention trials. In controlled pharmacological investigations involving agents such as sertraline and venlafaxine, clinical responders demonstrated statistically significant post-treatment increases in CD-RISC scores compared to non-responders, establishing that greater resilience gains correspond to clinical remission and durable symptom relief.
8. Reliability
The CD-RISC exhibits excellent psychometric reliability across internal consistency, split-half, and longitudinal stability metrics:
Internal Consistency
In the seminal validation study conducted by Connor and Davidson (2003), the 25-item instrument demonstrated an overall Cronbach’s alpha of $\alpha = .89$ in a representative sample of the general adult population ($N = 577$). Subsequent cross-validation studies across diverse psychiatric and non-psychiatric cohorts have reported comparable or superior coefficients:
- Clinical populations with major depressive and anxiety disorders: $\alpha = .87$ to $.91$.
- Medical trauma and spinal cord injury populations: $\alpha = .90$ to $.93$.
- International adaptations, including validated Chinese, Spanish, Persian, and Korean translations: $\alpha = .89$ to $.94$.
The mean corrected item-total correlations across the 25 items range comfortably between $.30$ and $.70$, confirming that all items contribute meaningfully to the overarching construct without excessive redundancy.
Test-Retest Reliability
Temporal stability was evaluated by Connor and Davidson in a subset of clinical subjects whose clinical status remained stable over an interval of 4 to 6 weeks. The intraclass correlation coefficient (ICC) was documented at $r = .87$ ($p < .001$), demonstrating high test-retest reliability over time when clinical status is unchanged, yet remaining sensitive to therapeutic interventions.
Standard Error of Measurement
Psychometric evaluations have determined the Standard Error of Measurement (SEM) of the CD-RISC to hover between $2.8$ and $3.5$ points. This low standard error supports the scale’s precision for individual diagnostic tracking and psychotherapeutic benchmarking.
9. Factor Analysis
The dimensionality of the CD-RISC has been a subject of extensive psychometric investigation and scholarly dialogue within structural equation modeling literature:
Original Exploratory Factor Analysis (Connor & Davidson, 2003)
Using principal components analysis with varimax rotation on a sample of 577 general population adults, Connor and Davidson extracted a 5-factor solution accounting for 47.1% of the total variance:
- Factor 1 (Personal competence, high standards, tenacity): 8 items (e.g., items 10, 11, 12, 16, 17, 23, 24, 25), accounting for 17.6% of the variance (eigenvalue = 7.06). Factor loadings ranged from $.43$ to $.72$.
- Factor 2 (Trust in instincts, tolerance of negative affect, strengthening effects of stress): 7 items (e.g., items 6, 7, 14, 15, 18, 19, 20), accounting for 8.9% of the variance (eigenvalue = 1.93). Factor loadings ranged from $.38$ to $.68$.
- Factor 3 (Positive acceptance of change, secure relationships): 5 items (e.g., items 1, 2, 4, 5, 8), accounting for 7.8% of the variance (eigenvalue = 1.48). Factor loadings ranged from $.45$ to $.70$.
- Factor 4 (Control): 3 items (items 13, 21, 22), accounting for 6.7% of the variance (eigenvalue = 1.25). Factor loadings ranged from $.39$ to $.74$.
- Factor 5 (Spiritual influences): 2 items (items 3, 9), accounting for 6.1% of the variance (eigenvalue = 1.07). Factor loadings ranged from $.60$ to $.73$.
Subsequent Confirmatory Factor Analyses and Structural Refinements
Subsequent psychometric evaluations utilizing confirmatory factor analysis (CFA) often revealed that Connor and Davidson’s initial 5-factor model failed to achieve conventional goodness-of-fit thresholds across independent samples (often yielding Root Mean Square Error of Approximation [RMSEA] > .08, and Comparative Fit Index [CFI] < .90). Researchers noted substantial cross-loadings, unstable factor saturation for Factors 4 and 5, and conceptual overlap between personal competence and perceived control.
In a seminal psychometric study, Campbell-Sills and Stein (2007) analyzed the CD-RISC in an exploratory/confirmatory structural split-sample design ($N = 1,743$ undergraduate students). After systematically removing items with unstable loadings, low communalities, or cross-loadings, they established an optimal, highly stable unidimensional 10-item scale (CD-RISC-10) exhibiting robust model fit (CFI = .97, RMSEA = .05). Concurrently, Vaishnavi, Connor, and Davidson (2007) established a micro-abbreviated 2-item version (CD-RISC-2) utilizing items 1 and 8 (adaptability to change and bouncing back), demonstrating strong correlation ($r = .88$) with the full 25-item scale and serving as an efficient two-item screener for clinical and epidemiological research.
10. Instrument / Measurement Tool
- Test Type: Standardized self-report psychometric rating scale.
- Format: Paper-and-pencil or computerized self-administered survey; individual or group administration.
- Target Population: Adults and adolescents aged 12 years and older; validated in clinical, non-clinical, occupational, and geriatric populations.
- Number of Items: 25 items in the standard full-length scale.
- Response Scale: 5-point Likert-type scale reflecting how the respondent felt over the past month:
- 0 = Not true at all
- 1 = Rarely true
- 2 = Sometimes true
- 3 = Often true
- 4 = True nearly all the time
- Administration Time: Approximately 5 to 10 minutes.
- Scoring Procedure: All 25 items are positively scored without reverse-keyed items. The overall score is calculated by summing the numerical responses across all completed items. Total scores range from 0 to 100, with higher scores reflecting greater levels of psychological resilience.
- Normative Reference Benchmarks (U.S. General Population Quartiles):
- Lowest Quartile (0–73): Low resilience; reflects high vulnerability to environmental stressors and elevated risk for clinical distress.
- Second Quartile (74–82): Moderate-low resilience.
- Third Quartile (83–90): Moderate-high resilience.
- Highest Quartile (91–100): Highly resilient; indicates superior psychological adaptability, adaptive coping resources, and emotional distress tolerance.
11. Permissions & Fee and Test Year
The Connor-Davidson Resilience Scale was developed and formally published in 2003. The instrument, in all its formats (the standard 25-item scale, the 10-item version, and the 2-item screener), is protected under international copyright owned jointly by Dr. Kathryn M. Connor and Dr. Jonathan R. T. Davidson.
The CD-RISC is not in the public domain and cannot be distributed, republished, modified, or digitized into online survey tools without a formal license agreement. Researchers and clinicians must request licensing directly through the authors’ dedicated portal at www.cd-risc.com. The authors utilize a tiered pricing structure: non-funded academic, dissertation, and non-profit research studies are eligible for reduced administrative fees or fee waivers, whereas funded research, clinical trials, corporate assessments, and commercial applications incur standard licensing fees per administration. Authorized users receive an official administration manual, scoring rubrics, population norms, and validated translations into over 80 international languages.
12. References
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
- Campbell-Sills, L., & Stein, M. B. (2007). Psychometric analysis and refinement of the Connor-davidson Resilience Scale (CD-RISC): Validation of a 10-item measure of resilience. Journal of Traumatic Stress, 20(6), 1019–1028. https://doi.org/10.1002/jts.20271
- Connor, K. M., & Davidson, J. R. T. (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
- Kobasa, S. C. (1979). Stressful life events, personality, and health: An inquiry into hardiness. Journal of Personality and Social Psychology, 37(1), 1–11. https://doi.org/10.1037/0022-3514.37.1.1
- Lazarus, R. S., & Folkman, S. (1984). Stress, Appraisal, and Coping. Springer Publishing Company.
- Rutter, M. (1985). Resilience in the face of adversity: Protective factors and resistance to psychiatric disorder. The British Journal of Psychiatry, 147(6), 598–611. https://doi.org/10.1192/bjp.147.6.598
- Vaishnavi, S., Connor, K., & Davidson, J. R. T. (2007). An abbreviated version of the Connor-Davidson Resilience Scale (CD-RISC), the CD-RISC2: Psychometric properties and applications in psychopharmacological trials. Psychiatry Research, 152(2–3), 293–297. https://doi.org/10.1016/j.psychres.2007.01.006