Care-Receiver Efficacy Scale (CRES)

Abstract

The Care-Receiver Efficacy Scale (CRES) is a multidimensional psychometric instrument developed by Enid Opal Cox and colleagues (2006) to evaluate perceived self-efficacy, personal agency, and coping competence among older adults and chronically ill individuals who receive informal or formal long-term care. Grounded in Albert Bandura's Social Cognitive Theory and models of selective optimization with compensation, the CRES shifts the clinical paradigm away from the traditional, passive conceptualization of care-receivers as mere recipients of assistance, viewing them instead as active, self-regulating participants within the caregiving dyad. The comprehensive instrument comprises 48 items categorized into five core psychometric dimensions: Self-Care Performance (15 items), Relational Coping with Caregivers (10 items), Perception of Dependence (5 items), Performance-Related Quality of Life (10 items), and Accepting Help (8 items). A psychometrically validated 25-item short-form version (CRES-SF), selecting five robust items per dimension, provides an efficient alternative for frail populations or longitudinal monitoring. Items are scored on a 5-point Likert-type confidence scale ranging from 1 (Not sure at all) to 5 (Completely sure). Psychometric evaluations demonstrate sound internal consistency across dimensions, with Cronbach's alpha coefficients ranging from 0.69 to 0.91 (Self-Care Performance: α = .91; Relational Coping: α = .82; Performance-Related QOL: α = .86; Accepting Help: α = .71; Perception of Dependence: α = .69). Construct and factorial validity have been confirmed via exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), establishing the scale as a rigorous clinical and empirical assessment tool for gerontologists, social workers, rehabilitation psychologists, and healthcare practitioners aiming to foster autonomy and psychological resilience in late-life care.

Keywords

Care-Receiver Efficacy Scale, CRES, self-efficacy, care-receiver agency, gerontology, dyadic caregiving, aging, long-term care, Social Cognitive Theory, psychometrics, relational coping, quality of life

Authors

The Care-Receiver Efficacy Scale was developed and validated by an interdisciplinary research team specializing in social work, educational measurement, and gerontology:

• Enid Opal Cox, MSW, DSW — Professor Emerita, Graduate School of Social Work, University of Denver, Denver, Colorado, USA. Dr. Cox's pioneering scholarship focuses on strengths-based social work, gerontological empowerment, care-receiver agency, and community-based interventions for older adults.
• Kathy E. Green, PhD — Professor, Morgridge College of Education, Research Methods and Information Science, University of Denver, Denver, Colorado, USA. Dr. Green is an expert in psychometrics, Rasch measurement models, scale development, and quantitative evaluation methodologies.
• Hye-Kyung Seo, PhD, MSW — Researcher and gerontological social work scholar, Graduate School of Social Work, University of Denver.
• M. Inaba, MSW — Research associate and practitioner in gerontological caregiving systems and long-term care delivery.
• A. Ayala Quillen, MSW — Clinical social worker and researcher focused on family caregiving dynamics and older adult psychological well-being.

Purpose

The fundamental purpose of the Care-Receiver Efficacy Scale (CRES) is to operationalize, quantify, and track personal agency, coping confidence, and active adaptation among individuals receiving supportive care due to functional impairment, chronic physical or cognitive illness, or advanced age. Historically, gerontological literature and clinical practices have disproportionately focused on the caregiver, examining phenomena such as caregiver burden, stress proliferation, burnout, and depression. When care-receivers were evaluated, they were predominantly characterized in terms of objective deficits—such as limitations in Activities of Daily Living (ADLs) or Instrumental Activities of Daily Living (IADLs)—and viewed as passive, unidirectional consumers of care.

Recognizing the psychophysiological harm of unmitigated dependency and the pervasive presence of learned helplessness in residential and home-care settings, Cox and colleagues created the CRES to capture the reciprocal, proactive contributions of the care-receiver. The tool serves several vital functions across research and clinical domains:

• Strengths-Based Assessment: In clinical geriatric psychology and social work, the CRES provides practitioners with a structural framework to identify the psychological assets, behavioral skills, and coping resources of older adults, shifting clinical discourse from functional deficit to self-management potential.
• Dyadic Care Optimization: Caregiving is fundamentally an interactive, bidirectional social process. The CRES measures relational coping and emotional reciprocity, enabling family therapists and healthcare teams to mitigate interpersonal tension, reduce feelings of being a “burden,” and preserve mutuality between care-receivers and their primary caregivers.
• Intervention Design and Evaluation: The instrument was specifically constructed to serve as an outcome metric for psychosocial, psychoeducational, and behavioral interventions (e.g., the Care-Receiver Efficacy Intervention; Cox et al., 2007). It allows researchers to evaluate whether targeted programs enhance self-advocacy, medical self-care, communication with physicians, and emotional adaptation to physical limitations.
• Predictor of Longitudinal Well-Being: Empirical evidence indicates that higher perceived efficacy in care-receivers correlates inversely with depressive symptoms, health-related anxiety, and existential distress, while correlating positively with treatment adherence, rehabilitative engagement, and perceived quality of life.

Psychological Construct

The psychological construct evaluated by the CRES is care-receiver self-efficacy—defined as an individual's subjective conviction in their capability to execute courses of action required to manage self-care, negotiate social and caregiving relationships, maintain quality of life, and psychologically navigate functional decline and dependency. Rather than treating care-receiver efficacy as a global, unidimensional trait, the scale operationalizes it across five distinct yet interconnected domains:

1. Self-Care Performance (15 items)

This subscale evaluates the care-receiver's proactive engagement in their own medical and physical maintenance, self-advocacy within the healthcare ecosystem, and collaborative decision-making with medical professionals. It encompasses active health information seeking (e.g., researching drug side effects and underlying pathologies), assertive communication with physicians (e.g., providing diagnostic updates, asking clarifying questions), and adopting compensatory techniques that maximize residual functional independence. High efficacy in this domain reflects an autonomous mindset where the patient acts as an active partner in healthcare management rather than a passive bystander.

2. Relational Coping with Caregivers (10 items)

Relational coping captures the interpersonal dynamics, emotional intelligence, and proactive communicative strategies utilized by the care-receiver to maintain a healthy, balanced relationship with informal or formal caregivers. It taps into reciprocity and empathy, such as considering the caregiver's schedule, providing reciprocal emotional encouragement, expressing affection and appreciation, and minimizing unnecessary stress on the caregiver. This subscale acknowledges that maintaining interpersonal harmony and preventing caregiver burnout requires deliberate, effortful contributions from the care-receiver.

3. Perception of Dependence (5 items)

This dimension operationalizes the affective, cognitive, and existential strain provoked by physical reliance on others. It addresses the emotional discomfort, anger, resentment, and fear associated with becoming dependent, asking for assistance, losing autonomy, and being perceived as a burden. Items in this subscale measure negative psychological reactions to dependency (e.g., fear of burdening loved ones, frustration over loss of freedom), reflecting psychological distress and maladaptive cognitive appraisals of functional limitation.

4. Performance-Related Quality of Life (10 items)

Performance-Related Quality of Life measures the care-receiver's perceived capability to pursue meaningful life activities, establish and maintain social connections, acquire new interests, and derive ongoing purpose despite chronic physical or sensory constraints. Grounded in compensatory adaptation, this domain measures whether the individual can actively substitute restricted activities with alternative sources of joy, entertainment, and social engagement, thereby sustaining existential value and positive affect in late life.

5. Accepting Help (8 items)

The Accepting Help subscale measures the cognitive, emotional, and behavioral efficacy needed to acknowledge, integrate, and accept the necessity of physical assistance without experiencing internal identity collapse, demoralization, or chronic resistance. It captures psychological acceptance, emotional regulation surrounding dependency, the ability to let go of maladaptive self-reliance, and the capacity to view receiving assistance as an adaptive strategy to preserve overall quality of life.

Theoretical Framework

The theoretical architecture of the Care-Receiver Efficacy Scale rests at the intersection of cognitive-behavioral psychology, lifespan developmental theory, and dyadic systems models:

Social Cognitive Theory and Perceived Self-Efficacy

The foundational bedrock of the CRES is Albert Bandura's (1977, 1997) Social Cognitive Theory. Bandura posited that perceived self-efficacy—people's beliefs in their capabilities to produce desired effects through their own actions—is the central generative driver of human agency, motivation, thought patterns, and emotional reactions. In chronic illness and late life, physical deterioration threatens individuals' sense of control. When individuals judge their efficacy as zero, they experience apathy, demoralization, and learned helplessness (Seligman, 1975). Conversely, care-receivers who preserve domain-specific efficacy beliefs continue to mobilize cognitive resources, pursue proactive coping, communicate their preferences, and maintain emotional regulation, even in settings with severe physical dependency.

Selective Optimization with Compensation (SOC) Model

The CRES also incorporates the lifespan developmental model of Selective Optimization with Compensation (SOC) formulated by Paul Baltes and Margret Baltes (1990). The SOC framework asserts that successful aging and adaptation to biological decline involve three dynamic orchestrations:

• Selection: Prioritizing functional goals and tasks that remain personally meaningful while abandoning less critical activities.
• Optimization: Enhancing, practicing, and refining residual capacities, technologies, or knowledge to maximize performance in selected domains.
• Compensation: Employing external aids, technological accommodations, or human assistance to mitigate irreversible deficits.

Within the CRES, the Performance-Related QOL and Self-Care Performance subscales directly operationalize SOC strategies, measuring the care-receiver's confidence in identifying novel activities and adopting compensatory ways of functioning.

Dyadic and Family Systems Perspectives

Traditional gerontological models treated caregiving as a unidirectional burden placed upon an active caregiver by an incapacitated receiver. The CRES embraces a dyadic coping perspective (Bodenmann, 1997; Lyons et al., 2002), positing that both dyad members contribute to interpersonal regulation, stress management, and emotional climate. The Relational Coping dimension conceptualizes care-receivers as active relational actors capable of empathy, humor, coordination, and support, reinforcing emotional interdependence over passive vulnerability.

Validity

Extensive psychometric investigations conducted during the initial development and subsequent validation studies (Cox et al., 2006; Ma et al., 2012) provide robust evidence for the construct, convergent, discriminant, and criterion-related validity of the CRES:

Construct and Factorial Validity

In the primary validation study by Cox et al. (2006), involving community-dwelling and institutionalized older adults receiving formal and informal care, an initial pool of items derived from literature review, expert panel consensus, and focus groups was analyzed. Principal axis factoring with oblique (Promax) rotation supported a coherent five-factor structure matching the hypothesized theoretical dimensions: Self-Care Performance, Relational Coping with Caregivers, Perception of Dependence, Performance-Related Quality of Life, and Accepting Help. Subsequent confirmatory factor analyses (Ma et al., 2012) substantiated the structural stability of both the 48-item scale and the 25-item short-form across independent geriatric cohorts.

Convergent Validity

Convergent validity was evaluated by correlating CRES subscale scores with validated scales measuring related psychological constructs. Significant positive correlations were observed between CRES Self-Care Performance, Accepting Help, and general self-efficacy (Sherer et al., 1982), as well as measures of internal health locus of control (Wallston et al., 1978). Furthermore, Relational Coping correlated significantly with dyadic satisfaction, perceived social support from family and friends (MSPSS; Zimet et al., 1988), and relational closeness. Performance-Related Quality of Life demonstrated strong positive correlations with the Life Satisfaction Index (LSI-A; Neugarten et al., 1961) and the physical and mental component summaries of the SF-36 Health Survey.

Discriminant and Criterion-Related Validity

Discriminant validity was established through negative correlations between CRES efficacy domains and validated measures of psychological distress, perceived burden, and demoralization. Specifically, higher scores on Self-Care Performance, Accepting Help, and Performance-Related QOL correlated moderately to strongly with lower scores on the Geriatric Depression Scale (GDS) and the Center for Epidemiologic Studies Depression Scale (CES-D). In contrast, the Perception of Dependence subscale showed strong positive correlations with perceived caregiver burden, internalized stigma, and functional helplessness, confirming its clinical utility in detecting vulnerability to demoralization.

Reliability

The Care-Receiver Efficacy Scale displays strong internal consistency and measurement stability across various administration settings:

Internal Consistency

In the seminal psychometric investigation by Cox, Green, Seo, Inaba, and Ayala Quillen (2006), Cronbach's alpha coefficients (α) demonstrated solid internal consistency across all five subscales:

• Self-Care Performance: α = .91 (15 items)
• Relational Coping with Caregivers: α = .82 (10 items)
• Performance-Related Quality of Life: α = .86 (10 items)
• Accepting Help: α = .71 (8 items)
• Perception of Dependence: α = .69 (5 items)

For the 25-item short form (CRES-SF), Ma, Green, and Cox (2012) demonstrated that selecting five high-performing items per factor maintained adequate internal consistency across dimensions, with alphas ranging from .70 to .88. The total scale alpha consistently exceeds .90, indicating excellent overall reliability.

Test-Retest Reliability and Stability

In intervention control cohorts over 4-week and 8-week intervals, stability coefficients demonstrated intra-class correlation coefficients (ICCs) ranging from .76 to .85 across subscales, indicating that the CRES captures stable psychological beliefs that remain consistent in the absence of targeted psychosocial interventions or abrupt health shocks. Rasch analysis carried out by Green and colleagues revealed acceptable item infit and outfit mean square (MNSQ) statistics (generally falling between 0.70 and 1.30), confirming unidimensionality within individual subscales and consistent response patterns across varied levels of physical disability.

Factor Analysis

The factorial validity and latent architecture of the CRES have been evaluated through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA):

Exploratory Factor Analysis (EFA)

During scale development, Cox et al. (2006) conducted principal axis factoring with Promax (oblique) rotation on a diverse sample of care-receivers ($N = 284$). The five extracted factors accounted for more than 54% of the total variance. Factor loadings for individual items were robust, with primary loadings largely exceeding .45 and minimal cross-loadings (< .25):

• Factor 1 (Self-Care Performance): Factor loadings ranged from .48 to .83. Items addressing information seeking (e.g., medical conditions, drug side effects) and active communication loaded heavily onto this factor.
• Factor 2 (Relational Coping): Factor loadings ranged from .42 to .79, characterized by items concerning emotional support and scheduling awareness.
• Factor 3 (Performance-Related QOL): Factor loadings ranged from .51 to .81, capturing participation in meaningful activities, learning, and friendship maintenance.
• Factor 4 (Accepting Help): Factor loadings ranged from .44 to .76, centered on cognitive reframing and emotional peace with assistance.
• Factor 5 (Perception of Dependence): Factor loadings ranged from .52 to .77, capturing anger, discomfort, and fear of burdening others.

Confirmatory Factor Analysis (CFA)

Ma, Green, and Cox (2012) tested the structural integrity of the 5-factor model using structural equation modeling. Comparing a unidimensional model against a five-factor correlated model, the five-factor solution yielded superior fit across all benchmark criteria:

• Comparative Fit Index (CFI): .93 to .95
• Tucker-Lewis Index (TLI): .92 to .94
• Root Mean Square Error of Approximation (RMSEA): .051 (90% CI [.042, .060])
• Standardized Root Mean Square Residual (SRMR): .056

These indices met the structural standards recommended by Hu and Bentler (1999), confirming that care-receiver efficacy is best characterized as a multidimensional construct rather than an undifferentiated global attribute.

Instrument / Measurement Tool

• Tool Name: Care-Receiver Efficacy Scale (CRES)
• Short Form: Care-Receiver Efficacy Scale – Short Form (CRES-SF; 25 items, designated with an asterisk *)
• Target Population: Older adults, individuals with chronic illnesses, rehabilitation patients, and long-term care residents receiving informal (family/friends) or formal (nursing/home health) care.
• Administration Format: Paper-and-pencil self-report questionnaire, structured in-person interview, or supervised digital assessment. (Interviewer administration is recommended for individuals with visual impairments or motor tremors).
• Completion Time: Approximately 12 to 18 minutes for the full 48-item version; 6 to 8 minutes for the 25-item short-form version.
• Item Count: 48 items total (Full Version); 25 items total (Short Form; 5 items per subscale).
• Response Scale: 5-point Likert-type confidence scale:
  • 1 = Not sure at all
  • 2 = A little sure
  • 3 = Fairly sure
  • 4 = Very sure
  • 5 = Completely sure
• Subscale Breakdown:
  • Self-Care Performance: Items 1 to 15 (Short-form items: 1, 2, 3, 4, 5)
  • Relational Coping with Caregivers: Items 16 to 25 (Short-form items: 16, 17, 18, 19, 20)
  • Perception of Dependence: Items 26 to 30 (Short-form items: 26, 27, 28, 29, 30)
  • Performance-Related Quality of Life: Items 31 to 40 (Short-form items: 31, 32, 33, 34, 35)
  • Accepting Help: Items 41 to 48 (Short-form items: 41, 42, 43, 44, 45)
• Scoring and Interpretation Procedures:
  • Subscale scores are generated by calculating the mean or sum of items within each respective domain.
  • Higher scores on Self-Care Performance, Relational Coping, Performance-Related QOL, and Accepting Help indicate higher self-efficacy, constructive adaptation, and personal agency.
  • Scoring of Perception of Dependence: The 5 items of the Perception of Dependence subscale (items 26–30) measure distress, anger, and burden concerns. In clinical applications, these items are often examined separately as an index of “Dependency Distress” (where higher scores indicate greater perceived burden/resentment), or they can be reverse-coded (5 = 1, 4 = 2, 3 = 3, 2 = 4, 1 = 5) when incorporated into an overall composite care-receiver efficacy index.

Permissions & Fee and Test Year

The Care-Receiver Efficacy Scale was first published in 2006 by Enid Opal Cox, Kathy E. Green, Hye-Kyung Seo, M. Inaba, and A. Ayala Quillen in The Gerontologist (Vol. 46, No. 5, pp. 640–649), an academic journal published by Oxford University Press on behalf of The Gerontological Society of America (GSA).

• Intellectual Property & Copyright: Copyright © 2006 by The Gerontological Society of America. Additional documentation appears in Tools for Strengths-Based Assessment and Evaluation (Springer Publishing, 2013).
• Permissions: The CRES is available for academic, scientific, clinical, and non-commercial research purposes. Researchers wishing to reproduce, integrate into proprietary electronic medical record systems, or publish the scale in commercial formats should secure formal permissions via the Copyright Clearance Center (RightsLink) or directly through Oxford University Press / Springer Publishing.
• Fees: There are generally no licensing fees required for non-profit scholarly research, academic dissertations, or routine clinical practice use when properly cited.

References

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• 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
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman and Company.
• Bodenmann, G. (1997). Dyadic coping: A systemic-transactional approach to stress and coping in couples. European Review of Applied Psychology, 47(2), 137–140.
• Cox, E. O., Green, K. E., Seo, H., Inaba, M., & Ayala Quillen, A. (2006). Coping with late life challenges: Development and validation of the Care-Receiver Efficacy Scale. The Gerontologist, 46(5), 640–649. https://doi.org/10.1093/geront/46.5.640
• Cox, E. I., Green, K. E., Hobart, K., Jang, L., & Seo, H. (2007). Strengthening the late-life care process: Effects of two forms of a care-receiver efficacy intervention. The Gerontologist, 47(3), 388–397. https://doi.org/10.1093/geront/47.3.388
• Cox, E. O., & Green, K. E. (2013). Care-Receiver Efficacy Scale. In C. A. Simmons & P. Lehmann (Eds.), Tools for strengths-based assessment and evaluation (pp. 298–300). Springer Publishing Company.
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
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• Ma, L., Green, K. E., & Cox, E. (2012). Factor structure investigation of the Care-Receiver Efficacy Scale–Short-Form. Research on Aging, 34(1), 100–107. https://doi.org/10.1177/0164027511413813
• Neugarten, B. L., Havighurst, R. J., & Tobin, S. S. (1961). The measurement of life satisfaction. Journal of Gerontology, 16(2), 134–143. https://doi.org/10.1093/geronj/16.2.134
• Seligman, M. E. (1975). Helplessness: On depression, development, and death. W. H. Freeman.
• Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The Self-Efficacy Scale: Construction and validation. Psychological Reports, 51(2), 663–671. https://doi.org/10.2466/pr0.1982.51.2.663
• Wallston, K. A., Wallston, B. S., & DeVellis, R. (1978). Development of the Multidimensional Health Locus of Control (MHLC) Scales. Health Education Monographs, 6(2), 160–170. https://doi.org/10.1177/109019817800600107
• Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment, 52(1), 30–41. https://doi.org/10.1207/s15327752jpa5201_2

13. Items of the Scale (Questionnaire)