Sources of Social Support Scale

Abstract

The Sources of Social Support Scale (SSSS) is a multidimensional psychometric instrument developed by Charles S. Carver, Michael H. Antoni, and colleagues at the University of Miami. Designed primarily within the context of longitudinal psycho-oncology trials—most notably trials evaluating cognitive-behavioral stress management (CBSM) interventions for breast and prostate cancer patients—the instrument assesses both the specific source of interpersonal support and the functional valence (positive versus negative exchanges) of the support provided. Unlike traditional global measures that pool supportive behaviors across social networks or assume that all social interactions are inherently beneficial, the SSSS systematically isolates interpersonal dynamics across distinct relational sources: intimate partners or spouses, adult women within the family, other family members, friends, and healthcare professionals.

Each relational section comprises 10 parallel items rated on a 5-point Likert scale ranging from 1 (“Not at all”) to 5 (“A lot”). The items operationalize six distinct positive social support functions (informational advice, tangible instrumental assistance, emotional reassurance, empathetic listening, relational ease/unconditional acceptance, and open self-disclosure) alongside four critical negative interpersonal behaviors (argumentation/interpersonal conflict, criticism, unreliability/letdown, and cognitive-emotional withdrawal or topic avoidance). Psychometric evaluations in clinical oncology cohorts have demonstrated robust internal consistency, with positive support subscales yielding Cronbach’s alpha coefficients typically ranging from α = .82 to .93, and negative support subscales ranging from α = .74 to .88 across diverse relational targets. Confirmatory factor analyses corroborate a dual-factor structure (positive vs. negative dimensions) nested within each relationship domain, offering elevated criterion validity for predicting psychological adjustment, biological stress markers (e.g., cortisol rhythms and lymphocyte proliferation), and health-related quality of life over longitudinal survivorship trajectories.

Keywords

Sources of Social Support Scale, SSSS, Charles S. Carver, psycho-oncology, social support measurement, negative social interactions, cognitive-behavioral stress management, breast cancer, interpersonal conflict, health psychology

Authors

The Sources of Social Support Scale was conceived and standardized by Charles S. Carver, Ph.D. (1947–2019), who served as Distinguished Professor of Psychology at the University of Miami, Coral Gables, Florida, in sustained collaboration with Michael H. Antoni, Ph.D., Professor of Psychology and Director of the Center for Psycho-Oncology Research at the University of Miami Miller School of Medicine. Dr. Carver was an internationally recognized authority in personality psychology, self-regulation, dispositional optimism, coping mechanisms, and behavioral medicine.

Dr. Antoni, a leading figure in psychoneuroimmunology and behavioral oncology, partnered with Carver over several decades to direct major clinical trials funded by the National Cancer Institute (NCI). Their joint research focused on identifying how psychosocial stressors, coping strategies, and relational systems influence immune reconstitution, neuroendocrine regulation, disease recurrence, and quality of life in women undergoing treatment for primary and metastatic breast cancer. Development of the SSSS emerged directly from their clinical observations that conventional assessment inventories failed to disaggregate the distinct functional contributions and relational frictions originating from specific social network members.

Purpose

The core purpose of the Sources of Social Support Scale is to resolve two longstanding theoretical and empirical limitations in health psychology and psychometrics: the conflation of different social support sources, and the systematic omission or conflation of negative interpersonal interactions. Many historical assessment batteries—such as the Multidimensional Scale of Perceived Social Support (MSPSS) or the Interpersonal Support Evaluation List (ISEL)—assess aggregated domains of perceived availability or subjective satisfaction without cleanly isolating who provides the support or capturing whether those same individuals simultaneously produce relational distress.

In clinical medicine and psycho-oncology, an individual diagnosed with a life-threatening illness such as breast or prostate cancer relies on an interconnected network of social actors. However, support from an intimate partner fulfills fundamentally different psychological functions compared to support from an oncologist, an adult daughter, or a casual friend. An oncologist provides essential medical information and technical guidance, but cannot substitute for intimate emotional vulnerability; conversely, an intimate partner attempting to provide technical medical advice may generate distress, particularly if that advice is perceived as intrusive or patronizing. The SSSS provides a modular assessment architecture that allows researchers and clinicians to present identical functional queries across multiple relationship categories, enabling precise within-subject and across-source comparisons.

Furthermore, interpersonal relationships during medical crises are rarely purely benevolent. A growing body of empirical literature initiated by social psychologists such as Karen S. Rook demonstrates that negative social interactions—such as criticism, unfulfilled promises, unsolicited advice, or emotional withdrawal—often exert a disproportionately potent and deleterious impact on psychological adjustment and physiological stress systems compared to the buffering effects of positive support. By incorporating four dedicated items measuring relational conflict, criticism, unreliability, and conversational avoidance alongside six positive support items, the SSSS allows investigators to tease apart the independent and interactive contributions of positive resources and interpersonal strain within each specific relationship.

Clinically, the tool serves as a diagnostic baseline and process measure in psychosocial interventions. By tracking changes in SSSS profiles across randomized trials, clinicians can ascertain whether cognitive-behavioral stress management interventions empower patients to recruit effective support, assertively establish interpersonal boundaries, or resolve network-specific friction. In longitudinal observational studies, the SSSS illuminates how specific sources of interpersonal distress may disrupt diurnal neuroendocrine profiles, heighten inflammatory cytokines, and accelerate emotional burnout.

Psychological Construct

The Sources of Social Support Scale is anchored in a multidimensional conceptualization of interpersonal dynamics, measuring ten distinct functional facets across separate relationship nodes. Rather than treating social support as a monolithic, static asset, the construct reflects both positive resource mobilization and interpersonal strain.

Positive Social Support Dimensions

The positive subscale captures six distinct functional modalities identified across contemporary social support taxonomies:

• Informational Support / Advice (Item 1): Evaluates the degree to which a specific source imparts cognitive guidance, education, or advice regarding cancer management. Although informational support is traditionally conceptualized as beneficial, Carver’s phrasing specifically highlights that this information is offered “whether you want it or not,” capturing the delicate boundary between well-intentioned guidance and intrusive informational overreach.
• Instrumental / Tangible Assistance (Item 2): Reflects practical, concrete aid provided by the network member. In the oncology context, this includes logistical assistance such as transportation to chemotherapy or radiation appointments, management of domestic chores, meal preparation, childcare, and assistance with medical billing or health insurance documentation.
• Emotional Reassurance and Affection (Item 3): Measures the receipt of warmth, encouragement, affection, and explicit validation. This facet anchors the respondent’s sense of mattering and emotional safety during profound physical and existential vulnerability.
• Empathetic Listening and Cognitive Understanding (Item 4): Assesses the source’s willingness to actively attend to and comprehend the patient’s cancer-related fears and cognitive ruminations without premature problem-solving, minimization, or dismissiveness.
• Social Acceptance / Relational Ease (Item 5): Evaluates the degree of psychological safety experienced in the presence of the social referent, specifically indexing whether the patient feels comfortable relaxing, dropping defensive coping facades, and being authentically themselves despite illness-induced bodily alterations or emotional exhaustion.
• Emotional Self-Disclosure (Item 6): Measures the patient’s perceived freedom to engage in deep emotional expression, specifically disclosing intimate anxieties, existential distress, and somatic concerns without fear of alienating or overwhelming the referent.

Negative Social Interaction Dimensions

The negative subscale operationalizes four well-documented forms of social friction that frequently emerge within interpersonal caregiving systems:

• Overt Conflict and Arguing (Item 7): Measures the frequency of interpersonal arguments, hostility, and verbal friction directly related to the cancer experience, treatment decisions, or lifestyle modifications.
• Interpersonal Criticism (Item 8): Assesses the frequency with which the network member expresses disapproval, blame, or fault-finding regarding how the patient copes, adheres to medical advice, or manages their emotional expression.
• Unreliability and Letdown (Item 9): Evaluates relational betrayal and unfulfilled commitments, capturing the psychological distress that occurs when a patient counts on an individual for instrumental or emotional support only to have them fail to show up or follow through.
• Conversational Avoidance and Withdrawal (Item 10): Captures protective buffering, cognitive avoidance, and emotional abandonment, specifically assessing how often the network member shuts down conversations about the illness, physically withdraws, or hastily redirects the topic away from the patient’s medical reality.

Theoretical Framework

The theoretical architecture of the Sources of Social Support Scale integrates foundational models from health psychology, stress and coping theory, and interpersonal communication dynamics.

The Stress and Coping Theory

The primary theoretical bedrock rests on Richard S. Lazarus and Susan Folkman’s Transactional Model of Stress and Coping (1984). Within this framework, psychological stress is conceptualized not as an external stimulus or internal response alone, but as a dynamic transaction between the individual and their environment. When confronted with a primary appraisal of serious threat—such as a cancer diagnosis—the individual engages in secondary appraisal to evaluate their available coping resources.

Social support operates as an external secondary coping resource that can alter both primary threat appraisals (by making challenges appear less insurmountable) and secondary appraisals (by reinforcing perceived coping self-efficacy). However, Carver and Antoni observed that when social resources are poorly matched to the patient’s appraised needs—or when support providers react with their own unmanaged distress—the transaction itself generates secondary stressors, compounding the original threat.

The Stress-Buffering vs. Direct-Effects Hypotheses

The SSSS is also structured to test Sheldon Cohen and Thomas A. Wills’ (1985) seminal theoretical distinction between the main effect model and the stress-buffering model of social support. Main effect models postulate that regular, positive social integration confers continuous psychological and biological benefits regardless of stress levels. In contrast, the stress-buffering model asserts that specific functional support (such as emotional disclosure and instrumental aid) protects individuals specifically when experiencing high acute or chronic adversity.

By measuring multiple relational targets independently, the SSSS permits researchers to investigate whether certain sources (such as intimate partners) provide stress-buffering protection against depression and neuroendocrine dysregulation, whereas other sources (such as extended family or healthcare providers) contribute primarily through main effects of informational clarity and logistical coordination.

Negative Social Interactions and the Asymmetry Hypothesis

Crucially, the theoretical framework incorporates Karen S. Rook’s (1984) model of negative social interactions and the broader psychological principle of the negativity bias (Baumeister et al., 2001). Rook demonstrated that negative interpersonal encounters exert a stronger, more pervasive association with subjective well-being than do positive encounters of equivalent frequency. In the context of life-threatening disease, invalidating responses—such as topic avoidance, toxic positivity, criticism, or withdrawal—signal relational abandonment and shatter basic assumptions of safety.

James C. Coyne’s Interpersonal Theory of Depression and research on emotional contagion also inform the scale. Family members and partners often experience profound vicarious trauma, which can trigger maladaptive protective buffering (withholding worries or shutting down discussions). The SSSS explicitly operationalizes these behavioral manifestations, enabling researchers to measure the clinical costs of avoidant interpersonal coping.

Validity

Empirical validation studies involving the Sources of Social Support Scale have documented strong psychometric properties across diverse clinical oncology samples, predominantly in women with stage 0 to III breast cancer and men undergoing treatment for localized prostate cancer.

Construct and Structural Validity

Construct validity is evidenced by the distinct structural separation between positive support dimensions and negative interaction dimensions across all evaluated relationship categories. Confirmatory factor analytic investigations consistently demonstrate that a two-factor model within each relationship source—comprising an overarching Positive Support latent factor (Items 1–6) and a Negative Support/Strain latent factor (Items 7–10)—demonstrates superior fit to unidimensional or single-source aggregated models.

Fit indices for this dual-factor specification across relational categories typically meet or exceed standard psychometric benchmarks: Comparative Fit Index (CFI) > .92, Tucker-Lewis Index (TLI) > .90, and Root Mean Square Error of Approximation (RMSEA) < .065.

Convergent and Discriminant Validity

Convergent validity has been established through statistically significant correlations between the SSSS positive subscales and established measures of social connectedness, such as the Multidimensional Scale of Perceived Social Support (MSPSS) and the emotional support subscale of the COPE Inventory (Carver et al., 1989), with bivariate correlation coefficients ranging from r = .55 to .72 (p < .001). Conversely, the SSSS negative interaction subscales correlate moderately to strongly with measures of unsupportive social interactions (e.g., the Unsupportive Social Interactions Scale) and interpersonal conflict inventories (r = .48 to .68, p < .001).

Discriminant validity is supported by the modest, often non-significant or weakly negative correlations observed between the positive support and negative interaction subscales within the same relationship source (typically r = -.12 to -.28). This confirms that positive support and negative relational strain represent orthogonal, functionally distinct dimensions rather than polar opposite ends of a single continuum. A respondent may concurrently experience high emotional reassurance and notable conflict with the exact same intimate partner.

Predictive and Criterion Validity

The predictive utility of the SSSS has been verified across multiple longitudinal investigations. In clinical trials of Cognitive-Behavioral Stress Management (CBSM) conducted by Antoni, Carver, and colleagues, baseline scores and longitudinal trajectories on the SSSS systematically predicted:

• Affective Distress: Higher partner negative interactions on the SSSS predicted prospective elevations in depressive symptoms (Center for Epidemiologic Studies Depression Scale; CES-D) and anxiety across 12-month survivorship follow-ups, even after controlling for baseline distress and medical staging.
• Biological and Endocrine Profiles: SSSS negative partner interactions have been associated with flattened or aberrant diurnal cortisol slopes, elevated late-afternoon cortisol concentrations, and impaired natural killer (NK) cell cytotoxicity in breast cancer patients.
• Quality of Life: Positive support from healthcare providers predicted lower intrusive thoughts and greater treatment satisfaction, whereas positive support from friends and adult female family members buffered against disrupted social disruption and body-image distress.

Reliability

The Sources of Social Support Scale demonstrates robust classical test theory reliability indices across multiple clinical oncology trials and observational survivorship studies.

Internal Consistency

Internal consistency analyses evaluate the positive support composite (6 items) and negative interaction composite (4 items) independently within each relational source. In primary validation samples of women undergoing surgical and adjuvant therapy for breast cancer, the internal consistency coefficients have routinely met or exceeded accepted psychometric standards:

• Husband / Partner Subscale: Positive Support α = .88 to .92; Negative Interactions α = .78 to .84.
• Adult Female Family Members: Positive Support α = .86 to .91; Negative Interactions α = .76 to .82.
• Other Family Members: Positive Support α = .85 to .90; Negative Interactions α = .75 to .81.
• Friends: Positive Support α = .87 to .93; Negative Interactions α = .74 to .80.
• Healthcare Providers: Positive Support α = .82 to .88; Negative Interactions α = .70 to .77.

Item-total correlations for positive support items reliably exceed r = .50, with emotional reassurance (Item 3) and empathetic listening (Item 4) exhibiting the highest part-whole correlations (.68 to .79). For negative interactions, criticism (Item 8) and withdrawal (Item 10) frequently exhibit the highest item-scale correlations (.55 to .71).

Test-Retest Reliability

Stability analyses across longitudinal assessments (e.g., assessing patients at 3-month, 6-month, and 12-month postsurgical milestones) yield test-retest reliability correlations ranging from r = .62 to .78 for positive support dimensions and r = .54 to .71 for negative interactions over 3-to-6-month intervals in non-intervened control conditions. These coefficients reflect an optimal balance: capturing enduring relationship stability while remaining adequately sensitive to acute situational shifts, disease transitions, or psychosocial intervention effects.

Factor Analysis

Extensive exploratory and confirmatory factor analyses conducted during the scale’s deployment in the University of Miami breast and prostate cancer research cohorts have verified the underlying dimensionality of the SSSS.

Exploratory Factor Analysis (EFA)

Initial exploratory factor analyses utilizing principal axis factoring with promax (oblique) rotation across the 10 items for each relational domain consistently produce a clear two-factor extraction based on eigenvalues (> 1.0) and scree plot inspection, accounting for between 58% and 66% of the total variance depending on the specific source analyzed:

• Factor 1: Positive Emotional/Instrumental Support: Items 1, 2, 3, 4, 5, and 6 load heavily onto this factor, with primary factor loadings typically falling between .62 and .88. Items 3 (reassurance), 4 (listening), and 5 (relaxing/acceptance) exhibit the strongest structural coefficients. Cross-loadings onto the negative dimension are uniformly low (< |.20|).
• Factor 2: Negative Interpersonal Strain: Items 7, 8, 9, and 10 load cleanly onto this factor, with standardized pattern coefficients ranging from .58 to .82. Item 8 (criticism) and Item 9 (letting down) regularly demonstrate the cleanest factor saturation.

Confirmatory Factor Analysis (CFA)

Subsequent structural modeling and confirmatory factor analyses have formally evaluated alternative competing models: (a) a single-factor general support model, (b) a two-factor orthogonal model, (c) a two-factor correlated model, and (d) a hierarchical multitrait-multimethod (MTMM) model accounting for shared relational variance. Across all studies, the two-factor correlated model yields superior goodness-of-fit indices compared to unidimensional alternatives:

Measurement invariance testing across sociodemographic strata (e.g., age groups, education levels, and non-Hispanic White vs. Hispanic/Latina populations) has demonstrated metric and scalar invariance, supporting the comparability of SSSS factor scores across diverse patient populations.

Instrument / Measurement Tool

• Instrument Name: Sources of Social Support Scale (SSSS)
• Acronym: SSSS
• Author: Charles S. Carver, Ph.D., with Michael H. Antoni, Ph.D., and colleagues
• Test Category: Interpersonal Relationships, Social Support Assessment, Behavioral Medicine / Psycho-Oncology
• Administration Format: Self-report paper-and-pencil or digital/computer-assisted questionnaire
• Estimated Completion Time: 10 to 15 minutes for the full multi-source battery (approximately 2–3 minutes per relational source module)
• Target Population: Adult clinical populations facing chronic or life-threatening physical illness (e.g., cancer, cardiovascular disease), adaptable to broader non-clinical community samples
• Structure and Modular Organization:
  • Contains parallel 10-item sections administered for each designated social referent.
  • Standard Clinical Oncology Modules:
    • Section A: Husband / Partner (skip if unpartnered)
    • Section B: Adult Women in Family (sisters, mother, aunts, adult daughters)
    • Section C: Other Family Members
    • Section D: Friends
    • Section E: Health Care Providers (oncologists, nurses, medical staff)
• Item Content Breakdown (per source):
  • Positive Support Subscale (Items 1–6): Advice/Information, Tangible Assistance, Emotional Reassurance/Affection, Empathetic Listening/Understanding, Relaxing/Acceptance, Open Disclosure
  • Negative Social Interaction Subscale (Items 7–10): Arguing/Conflict, Criticism, Letting Down/Unreliability, Cognitive-Emotional Withdrawal/Topic Avoidance
• Response Scale: 5-point Likert scale:
  • 1 = Not at all
  • 2 = A little
  • 3 = A moderate amount
  • 4 = A pretty large amount
  • 5 = A lot
• Scoring Procedures:
  • Positive Support Score (per source): Calculate the mean or sum of Items 1, 2, 3, 4, 5, and 6 (Score range: 6 to 30 for sums; 1.0 to 5.0 for means).
  • Negative Interaction Score (per source): Calculate the mean or sum of Items 7, 8, 9, and 10 (Score range: 4 to 20 for sums; 1.0 to 5.0 for means).
  • Total Network Profile: Positive and negative dimensions should not be combined into a single grand net score, as this masks critical differential effects; instead, maintain separate positive and negative indices for each relational source.

Permissions & Fee and Test Year

The Sources of Social Support Scale was developed and placed into open academic dissemination in 2006 through Dr. Charles S. Carver’s behavioral medicine research laboratory at the University of Miami. Dr. Carver maintained an open-access philosophy regarding his psychometric instruments (including the COPE, Brief COPE, LOT-R, and SSSS), providing free access for non-commercial academic research, clinical investigations, and educational training.

Licensing and Terms: No licensing fees or formal written permission agreements are required for non-profit academic research or clinical training use, provided appropriate scholarly attribution is cited. Researchers adapting the tool for diseases other than breast cancer (e.g., prostate cancer, cardiovascular illness, or generalized stress) may modify illness-specific descriptors (e.g., substituting “your illness” or “your health condition” for “your breast cancer”) while maintaining original item wording and structure.

References

• Antoni, M. H., Lehman, J. M., Kilbourn, K. M., Boyers, A. E., Culver, J. L., Alferi, S. M., Yount, S. E., McGregor, B. A., Arena, P. L., Harris, S. D., Shimizu, A. A., & Carver, C. S. (2001). Cognitive-behavioral stress management intervention decreases the prevalence of depression and enhances benefit finding among women under treatment for early-stage breast cancer. Health Psychology, 20(1), 20–32. https://doi.org/10.1037/0278-6133.20.1.20
• Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5(4), 323–370. https://doi.org/10.1037/1089-2680.5.4.323
• Carver, C. S. (2006). Sources of Social Support Scale (SSSS). University of Miami, Department of Psychology. http://www.psy.miami.edu/faculty/ccarver/sclSSSS.html
• Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: A theoretically based approach. Journal of Personality and Social Psychology, 56(2), 267–283. https://doi.org/10.1037/0022-3514.56.2.267
• Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
• Rook, K. S. (1984). The negative side of social interaction: Impact on psychological well-being. Journal of Personality and Social Psychology, 46(5), 1097–1108. https://doi.org/10.1037/0022-3514.46.5.1097

Items of the Scale