Interpersonal Support Evaluation List (ISEL) — General Population

1. Abstract

The Interpersonal Support Evaluation List (ISEL) – General Population is a prominent psychometric instrument developed by Sheldon Cohen and colleagues (Cohen & Hoberman, 1983; Cohen et al., 1985) to assess the perceived availability of four distinct functional dimensions of social support: Appraisal Support, Tangible Support, Self-Esteem Support, and Belonging Support. Grounded in the stress-buffering hypothesis and cognitive-transactional models of stress (Lazarus & Folkman, 1984), the instrument was designed to isolate the psychological perception of resource availability from actual received support or objective network structural metrics (such as network density or contact frequency). The general population version comprises 40 self-report items evenly balanced between positive social statements (20 items) and negative social statements (20 reverse-scored items) to systematically minimize acquiescence response bias. Responses are captured via a 4-point Likert-type forced-choice format ranging from 0 (definitely false) to 3 (definitely true), yielding domain-specific subscale scores (range: 0–30 each) and a composite perceived interpersonal support score (range: 0–120).

Extensive psychometric investigations across four decades confirm that the ISEL-40 exhibits solid internal consistency, with total scale Cronbach’s alpha coefficients typically ranging from α = .88 to .92 in community and non-student adult cohorts, and subscale coefficients spanning .70 to .87. Test-retest reliability across intervals of two to six months remains robust (r = .70–.87). Factor-analytic investigations (both exploratory and confirmatory) generally validate a hierarchical or correlated four-factor structure, although contemporary structural equation modeling often reveals a strong general perceived support factor alongside distinct group factors, supporting both multidimensional profiling and bifactor modeling. The scale demonstrates profound predictive and convergent validity across behavioral medicine, clinical psychology, and epidemiology, forecasting stress resilience, cardiovascular reactivity, neuroendocrine regulation, depression trajectory, and all-cause morbidity. This article provides a comprehensive psychometric review of the ISEL – General Population version, encompassing its theoretical foundations, structural validity, clinical interpretation, and complete 40-item inventory.

2. Keywords

Interpersonal Support Evaluation List, ISEL, perceived social support, stress-buffering model, functional social support, appraisal support, tangible assistance, belonging support, self-esteem support, psychometrics, health psychology, psychological stress

3. Authors

The Interpersonal Support Evaluation List was conceptualized, operationalized, and validated by a distinguished research team led by:

• Sheldon Cohen, Ph.D. – Robert E. Doherty University Professor Emeritus of Psychology, Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. Renowned pioneer in psychoneuroimmunology, social epidemiology, and the psychological determinants of infectious disease susceptibility and health.
• Harry M. Hoberman, Ph.D. – Department of Psychology, University of Oregon, and Department of Psychiatry, University of Minnesota Medical School, Minneapolis, Minnesota, USA. Specialist in adolescent mental health, affective disorders, and behavioral interventions.
• Robin J. Mermelstein, Ph.D. – Distinguished Professor of Psychology, Director of the Institute for Health Research and Policy, University of Illinois Chicago, Chicago, Illinois, USA. Leading scholar in tobacco addiction, ecological momentary assessment, and health behavior change.
• Tom W. Kamarck, Ph.D. – Professor of Psychology and Psychiatry, Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA. Expert in cardiovascular psychophysiology, daily stress processes, and ambulatory physiological monitoring.

4. Purpose

The primary purpose of the Interpersonal Support Evaluation List (ISEL) – General Population is to provide a reliable, multidimensional assessment of an individual’s cognitive appraisal regarding the potential availability of interpersonal resources should such resources be needed. During the early 1980s, empirical research examining the relationship between social relationships and health was frequently confounded by ambiguous measurement strategies. Many prevailing instruments conflated structural support (e.g., marital status, organizational memberships, geographic proximity of kin) with functional support (the specific qualitative functions that relationships serve), or conflated received support (actual past transactions of assistance) with perceived support (the internalized conviction that support is accessible).

Cohen and colleagues constructed the ISEL specifically to overcome these empirical limitations. First, structural measures fail to illuminate the psychological mechanisms through which social ties attenuate psychological distress and somatic pathology; possessing an extensive social network does not guarantee that members of that network will provide constructive assistance during acute crises. Second, empirical investigations revealed that received support often correlates positively with psychological distress—primarily because individuals mobilizing actual help are already undergoing severe stress, or because receiving aid can induce feelings of indebtedness, loss of autonomy, or interpersonal friction. In contrast, perceived support consistently behaves as an exceptional protective buffer against the debilitating consequences of life stress, operating as a stable psychological resource that modulates primary and secondary cognitive appraisals.

The ISEL was engineered with two overarching versions: a College Student version (designed around academic, campus-specific stressors) and the General Population version featured here. The General Population instrument assesses functional support across common adult life domains, including financial crises, health impairments, household obligations, emotional turmoil, and leisure activities. In research contexts, the scale is deployed extensively within psychoneuroimmunology, psychiatric epidemiology, cardiovascular behavioral medicine, oncology, and gerontology. Investigators utilize the ISEL to delineate whether specific dimensions of support buffer the biological consequences of chronic stressors (such as caregiver strain, socioeconomic hardship, or medical diagnoses) on immune function, systemic inflammation (e.g., C-reactive protein, interleukin-6), and cardiovascular autonomic control.

In clinical and preventive applications, the ISEL serves as a diagnostic screening instrument to identify socially isolated or relationally vulnerable patients entering primary care, substance abuse rehabilitation, psychiatric treatment, or chronic disease self-management programs. By generating distinct scores across its four functional subscales, clinicians can pinpoint the precise nature of a client’s relational deficits. For instance, a patient with high appraisal and belonging support but deficient tangible support may possess emotional confidants yet lack pragmatic emergency assistance, necessitating targeted social work interventions, respite services, or community resource linkage.

5. Psychological Construct

The construct measured by the ISEL is functional perceived social support, defined as the subjective cognitive expectation that one’s interpersonal environment will provide specific resources responsive to situational demands. Rather than viewing social support as a monolithic, undifferentiated entity, Cohen and colleagues (1985) formulated social support as a taxonomy of four independent functional domains:

1. Appraisal Support (10 Items)

Appraisal support represents the perceived availability of trusted confidants with whom one can discuss personal difficulties, life dilemmas, and private emotional states, and who can provide evaluative guidance, constructive cognitive reframing, and objective feedback. This dimension directly influences secondary appraisal processes by enhancing an individual’s perceived coping options. An illustrative item representing high appraisal support is Item 1: “There are several people that I trust to help solve my problems,” whereas Item 17 operationalizes its absence: “I feel that there is no one I can share my most private worries and fears with.” When appraisal support is elevated, individuals confronting complex stressors (such as marital discord, occupational displacement, or medical ambiguity) perceive an expanded problem-solving capacity, reducing catastrophization and feelings of cognitive overwhelm.

2. Tangible Support (10 Items)

Tangible support (frequently termed instrumental support or material aid) refers to the perceived accessibility of concrete, pragmatic physical assistance, material resources, financial help, or direct behavioral services during times of practical need. This subscale measures resources that directly address situational impediments and physical burdens. Examples include Item 2: “If I needed help fixing an appliance or repairing my car, there is someone who would help me,” Item 16 regarding temporary shelter during domestic emergencies, Item 23 regarding emergency monetary loans ($100), and Item 18 addressing assistance with routine domestic chores during illness. Tangible support directly mitigates the structural and operational demands of objective stressors, preventing instrumental crises from cascading into secondary emotional or economic distress.

3. Self-Esteem Support (10 Items)

Self-esteem support (also designated as emotional support or positive social comparison) assesses the perception that one is respected, valued, and held in high personal regard by others, as well as the availability of relational comparisons that bolster self-efficacy and self-worth. Cohen and colleagues incorporated social comparison theory (Festinger, 1954) into this dimension, evaluating whether an individual feels competent and successful relative to their peer group. Positively phrased items include Item 4: “There is someone who takes pride in my accomplishments,” Item 8: “Most people I know think highly of me,” and Item 20: “I am as good at doing things as most other people are.” Conversely, reverse-scored items capture feelings of inferiority or perceived social inadequacy, such as Item 3: “Most of my friends are more interesting than I am,” and Item 24: “In general, people do not have much confidence in me.” This subscale preserves psychological resilience by buffering the ego against identity threats, stigmatization, and chronic self-blame.

4. Belonging Support (10 Items)

Belonging support (also known as companionship or social integration) operationalizes the perceived availability of people with whom one can socialize, share recreational activities, and experience leisure companionship. Grounded in the evolutionary drive for group inclusion, this dimension assesses the absence of social alienation and loneliness. Prototypical items include Item 12: “There are several different people I enjoy spending time with,” Item 21: “If I decide one afternoon that I would like to go to a movie that evening, I could easily find someone to go with me,” and Item 31 regarding companionship for a spontaneous lunch. Negative items capture perceived social ostracism or dissimilarity, such as Item 10: “I feel like I’m not always included by my circle of friends,” and Item 27: “I don’t often get invited to do things with others.” Belonging support provides positive affect, behavioral distraction from persistent worries, and an enduring sense of community identification.

6. Theoretical Framework

The theoretical architecture of the ISEL rests upon the seminal stress-buffering model articulated by John Cassel (1976), Sidney Cobb (1976), and operationalized empirically by Cohen and Wills (1985). This paradigm distinguishes between two fundamental models of social support influence: the main effect model and the buffering model.

Under the main effect (direct effect) model, social integration and interpersonal ties exert a uniformly beneficial influence on psychological and physical well-being irrespective of whether the individual is experiencing stress. Social networks provide regular positive experiences, a predictable social role structure, stable behavioral expectations, and access to normative health-promoting behaviors, thereby directly suppressing neuroendocrine dysregulation and distress.

Conversely, the buffering model posits that interpersonal support acts primarily as an interactive buffer that protects individuals from the pathogenic consequences of acute or chronic life events. According to Cohen and Wills (1985), this buffering phenomenon can occur at two critical junctures along the causal chain of stress processing:

1. Primary Appraisal Juncture: When confronted with a potential environmental demand (e.g., job loss, medical diagnosis), the perception that social support resources are readily available alters the primary cognitive appraisal. The individual evaluates the stressor as less menacing or challenging because they possess the relational capital necessary to withstand it, preventing the activation of severe physiological and psychological distress cascades.
2. Secondary Appraisal and Reaction Juncture: If a stressor has already triggered an initial emotional and neuroendocrine alarm reaction, social support intervenes between the experience of stress and the onset of somatic pathology or psychiatric symptomatology. Supportive resources facilitate secondary appraisal (coping strategy formulation), extinguish emotional overarousal, offer concrete behavioral solutions (tangible assistance), and facilitate adaptive cognitive restructuring (appraisal support).

A central tenet of Cohen’s theoretical framework is the specificity (or matching) hypothesis. This hypothesis dictates that stress buffering occurs only when the specific functional resource supplied or perceived precisely matches the unique demands elicited by the stressor. For example, tangible financial or physical assistance is essential when facing tangible material loss, whereas appraisal or emotional support is required when managing interpersonal bereavement or identity threats. The ISEL’s four-subscale design was directly generated to allow researchers to empirically test this matching hypothesis by dissecting which specific support functions mitigate the deleterious impact of specific categories of life events.

7. Validity

The psychometric validity of the ISEL – General Population has been rigorously substantiated through four decades of empirical investigation spanning diverse clinical, community, and epidemiological cohorts.

Construct and Structural Validity

Initial construct validation was executed by Cohen and colleagues (1985), who designed an extensive item selection protocol aimed at maximizing within-subscale item-total correlations while deliberately minimizing cross-subscale correlations. As theoretically expected, intercorrelations among the four subscales in general population samples typically range from moderate to high (r = .46 to .68), demonstrating that while the four domains share a common core of perceived interpersonal responsiveness, each possesses sufficient non-redundant variance to warrant separate scoring. In a pivotal structural study, Brookings and Bolton (1988) confirmed that a hierarchical four-factor model exhibited superior fit relative to single-factor or two-factor models, substantiating the four theorized functional dimensions.

Convergent and Discriminant Validity

The ISEL exhibits robust convergent validity through established associations with conceptually aligned relational inventories. It correlates positively with the Multidimensional Scale of Perceived Social Support (MSPSS; r = .62 to .78), the Inventory of Socially Supportive Behaviors (ISSB; r = .41 to .55), and measures of network satisfaction and family cohesion (Moos Family Environment Scale). Demonstrating discriminant validity, ISEL scores correlate moderately to weakly with objective structural network indices (e.g., Social Network Index network diversity, r = .25 to .38), illustrating that perceived functional availability is conceptually and empirically distinct from sheer network size or contact volume.

Importantly, research has examined whether the ISEL merely measures low neuroticism, positive affectivity, or freedom from depressive bias. While the ISEL correlates inversely with the Beck Depression Inventory (r = -.42 to -.58) and trait negative affectivity (r = -.35 to -.48), longitudinal and hierarchical regression analyses show that ISEL scores predict psychological distress and somatic health outcomes even after statistically partialling out trait neuroticism, negative affect, and baseline depressive symptoms (Cohen et al., 1985; Cohen & Wills, 1985).

Predictive and Ecological Validity

The predictive utility of the ISEL in health psychology and behavioral medicine is exceptionally well documented. In experimental rhinovirus challenge studies conducted by Cohen and colleagues (e.g., Cohen et al., 1997), individuals with lower perceived social support and lower social diversity demonstrated significantly greater rates of clinical illness and biological markers of infection upon viral exposure compared to individuals reporting high support. Higher ISEL scores prospectively predict reduced ambulatory systolic blood pressure reactivity to daily life conflicts, lower systemic inflammation (reduced circulating IL-6 and TNF-α), accelerated wound healing, lower postpartum depression incidence, and decreased mortality in coronary artery disease populations.

8. Reliability

The ISEL-40 demonstrates strong and consistent reliability indices across general population surveys, healthy community volunteers, and medically compromised groups.

Internal Consistency

Internal consistency estimates for the total 40-item scale consistently exceed standard psychometric thresholds for research and clinical assessment. In the original validation studies by Cohen and colleagues (1985), the full-scale Cronbach’s alpha was reported at α = .88 to .90 across general population samples. Subsequent investigations in diverse adult cohorts have mirrored these findings, reporting total scale coefficients spanning α = .86 to .93. Internal consistency coefficients for the 10-item subscales are similarly solid, typically falling within the following empirical parameters:

• Appraisal Support: α = .77 – .84
• Tangible Support: α = .71 – .81
• Self-Esteem Support: α = .68 – .79
• Belonging Support: α = .73 – .82

The Self-Esteem subscale occasionally demonstrates slightly lower reliability estimates (.68–.72) in certain marginalized or socioeconomically distressed cohorts, which psychometricians attribute to the complex cognitive balance between internal self-worth and comparative social evaluation inherent in those specific items.

Test-Retest Stability

Test-retest reliability evaluations substantiate that the ISEL captures a stable cognitive schema regarding interpersonal resources rather than transient situational affect. In non-student adult community samples, test-retest correlations over a two-day to six-week interval range from r = .82 to .87 for the total score, and r = .70 to .82 for the four subscales. Over extended temporal intervals spanning six months, stability coefficients remain notably strong (total ISEL r = .74; subscales r = .63 to .71), indicating remarkable trait-like endurance in the absence of severe interpersonal disruption, relocation, or relational bereavement.

9. Factor Analysis

The latent factor structure of the ISEL has been evaluated through multiple exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) since its publication.

Exploratory Factor Analyses (EFA)

In initial scale development, Cohen and colleagues (1985) utilized orthogonal and oblique factor extractions to verify that candidate items loaded cleanly onto their intended theoretical dimensions. Subscale independence was deliberately maximized by choosing items from an initial large pool that demonstrated high item-to-subscale correlations alongside minimized correlations with foreign subscales. In an extensive independent EFA conducted on community participants, Brookings and Bolton (1988) extracted four principal components corresponding directly to Appraisal, Tangible, Self-Esteem, and Belonging. Across empirical studies, primary factor loadings for target items typically range from .42 to .76, with relatively modest cross-loadings, although items addressing interpersonal confiding (Appraisal) and joint activity participation (Belonging) occasionally exhibit mild cross-subscale affinity.

Confirmatory Factor Analyses (CFA)

Subsequent confirmatory structural equation models have systematically tested alternative structural topologies: (a) a single-factor general support model, (b) an orthogonal four-factor model, (c) an oblique (correlated) four-factor model, and (d) a hierarchical (second-order) model where a global perceived support construct accounts for the covariance among the four primary first-order dimensions.

Empirical CFA investigations (e.g., Brookings & Bolton, 1988; Heitzmann & Kaplan, 1988) show that the oblique four-factor model and the hierarchical second-order model provide substantially superior fit indices compared to single-factor models. Across well-controlled community samples, model fit parameters for the four-factor representation regularly achieve acceptable to good criteria:

• Comparative Fit Index (CFI): .91 – .95
• Tucker-Lewis Index (TLI): .90 – .94
• Root Mean Square Error of Approximation (RMSEA): .042 – .058 (with 90% CI [.038, .063])
• Standardized Root Mean Square Residual (SRMR): .048 – .059

Method Effects and Bifactor Modeling

Because the ISEL-40 incorporates an exact 50/50 balance of positively worded statements and negatively worded statements, psychometricians have scrutinized the influence of method variance. Several contemporary CFA studies indicate that adding a method factor for reverse-worded items significantly improves model fit, indicating that a portion of unexplained variance reflects subtle item-wording orientation rather than multidimensional trait variance. Furthermore, modern bifactor modeling reveals that a dominant general perceived support factor accounts for a substantial majority of the common variance (omega hierarchical ωh > .80), while the specific subfactors continue to provide unique incremental variance for domain-specific predictions, justifying the operational practice of reporting both total composite scores and individual subscale profiles.

10. Instrument / Measurement Tool

The operational characteristics and measurement structure of the Interpersonal Support Evaluation List (ISEL) – General Population are detailed below:

• Instrument Designation: Interpersonal Support Evaluation List (ISEL) – General Population Version.
• Instrument Type: Standardized self-report functional social support rating inventory.
• Administration Format: Paper-and-pencil questionnaire, computerized terminal assessment, or online self-administered survey.
• Target Population: General adult population (ages 18+). (A distinct 40-item version exists specifically calibrated for college student populations).
• Completion Time: Approximately 8 to 12 minutes.
• Total Item Count: 40 declarative statements.
• Structural Composition: Four balanced subscales containing 10 items each:
  • Appraisal Support (10 items): Items 1, 6, 11, 17, 19, 22, 26, 30, 36, 38.
  • Tangible Support (10 items): Items 2, 9, 14, 16, 18, 23, 29, 33, 35, 39.
  • Self-Esteem Support (10 items): Items 3, 4, 8, 13, 20, 24, 28, 32, 37, 40.
  • Belonging Support (10 items): Items 5, 7, 10, 12, 15, 21, 25, 27, 31, 34.
• Response Scale & Scoring Matrix: Each item is rated on a 4-point Likert-type forced-choice scale:
  • Positively phrased items (20 items):
    • Definitely True = 3
    • Probably True = 2
    • Probably False = 1
    • Definitely False = 0
  • Reverse-coded items (20 items): Items 3, 6, 9, 10, 11, 13, 14, 15, 17, 24, 25, 27, 28, 29, 30, 34, 35, 36, 39, 40 must be inverted prior to subscale and total computation:
    • Definitely True = 0
    • Probably True = 1
    • Probably False = 2
    • Definitely False = 3
• Subscale Score Range: 0 to 30 points per subscale (calculated by summing the 10 respective recoded items). Higher scores reflect greater perceived availability of that specific support function.
• Total Score Range: 0 to 120 points (calculated by summing all 40 recoded items or summing the four subscale totals). Higher scores indicate superior overall perceived functional interpersonal support.

11. Permissions & Fee and Test Year

The Interpersonal Support Evaluation List (ISEL) – General Population was formulated and formally published in 1983 (Cohen & Hoberman, 1983) with comprehensive psychometric taxonomy articulated in 1985 (Cohen et al., 1985).

Licensing and Availability: The ISEL is widely treated as an open-access psychometric instrument for academic, non-commercial scientific research, and educational applications. Dr. Sheldon Cohen and Carnegie Mellon University’s Laboratory for the Study of Stress, Immunity, and Disease have historically provided the instrument, scoring protocols, and population norms freely through university archives and research repositories (Carnegie Mellon University ISEL Repository). No licensing fees or royalties are levied for legitimate scholarly investigation. Users are expected to cite the foundational validation publications in all presentations and empirical journal articles. Commercial applications, inclusion in fee-for-service diagnostic platforms, or proprietary electronic medical record systems require direct institutional authorization from the primary authors.

12. References

The following foundational and contemporary empirical publications underpin the theoretical, structural, and psychometric architecture of the ISEL:

• Brookings, J. B., & Bolton, B. (1988). Confirmatory factor analysis of the Interpersonal Support Evaluation List. American Journal of Community Psychology, 16(1), 137–147. https://doi.org/10.1007/BF00906076
• Cassel, J. (1976). The contribution of the social environment to host resistance. American Journal of Epidemiology, 104(2), 107–123. https://doi.org/10.1093/oxfordjournals.aje.a112281
• Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300–314. https://doi.org/10.1097/00006842-197609000-00003
• Cohen, S., Doyle, W. J., Skoner, D. P., Rabin, B. S., & Gwaltney, J. M., Jr. (1997). Social ties and susceptibility to the common cold. JAMA: The Journal of the American Medical Association, 277(24), 1940–1944. https://doi.org/10.1001/jama.1997.03540480040036
• Cohen, S., & Hoberman, H. M. (1983). Positive events and social supports as buffers of life change stress. Journal of Applied Social Psychology, 13(2), 99–125. https://doi.org/10.1111/j.1559-1816.1983.tb02325.x
• Cohen, S., Mermelstein, R., Kamarck, T., & Hoberman, H. M. (1985). Measuring the functional components of social support. In I. G. Sarason & B. R. Sarason (Eds.), Social support: Theory, research, and application (pp. 73–94). Martinus Nijhoff Publishers. https://doi.org/10.1007/978-94-009-5115-0_5
• 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
• Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. https://doi.org/10.1177/001872675400700202
• Heitzmann, C. A., & Kaplan, R. M. (1988). Assessment of methods for measuring social support. Health Psychology, 7(1), 75–109. https://doi.org/10.1037/0278-6133.7.1.75
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.

13. Items of the Scale