Exercise Self-Efficacy Scale (ESES)

1. Abstract

The Exercise Self-Efficacy Scale (ESES) is an 18-item psychometric measurement instrument designed to assess an individual’s subjective confidence in their capacity to execute regular physical exercise across diverse, high-risk barrier situations. Originating from the foundational principles of Social Cognitive Theory formulated by Albert Bandura (1997), the scale conceptualizes self-efficacy not as a static global personality trait, but as a dynamic, domain-specific, situationally conditioned cognitive appraisal. The instrument measures an individual’s perceived capability to maintain physical activity regimens when confronted by salient internal barriers (such as fatigue, psychological distress, low motivation, depression, and anxiety) and external obstacles (including inclement weather, competing vocational or familial demands, vacation disruptions, and inadequate fitness resources).

The ESES employs an authentic 11-point percentage-confidence metric spanning from 0% (“Cannot do at all”) through 50% (“Moderately can do”) to 100% (“Highly certain can do”) calibrated in uniform 10-unit increments. Psychometric investigations have demonstrated exceptional internal consistency, with Cronbach’s alpha reliability coefficients typically exceeding α = .90 (often ranging from .89 to .95 across healthy, clinical, and rehabilitative cohorts). Exploratory and confirmatory factor analyses typically reveal either a robust unidimensional barrier-efficacy construct or an empirical multidimensional structure reflecting internal/affective states, external/competing demands, and post-recovery barriers. The ESES demonstrates rigorous convergent validity with objective activity metrics (such as accelerometry and maximal oxygen uptake), predictive validity for exercise adoption, adherence, and post-relapse resumption, as well as divergent validity from generalized locus of control and somatic trait anxiety.

2. Keywords

Exercise Self-Efficacy Scale, Bandura, Social Cognitive Theory, barrier self-efficacy, physical activity adherence, psychometrics, health psychology, behavioral medicine, scale validation, exercise maintenance.

3. Authors

The theoretical architecture and item generation methodology of the Exercise Self-Efficacy Scale are rooted in the empirical research of Albert Bandura, Ph.D. (1925–2021), David Starr Jordan Professor Emeritus of Social Science in Psychology at Stanford University. Bandura codified the measurement methodology for task and barrier self-efficacy across numerous behavioral domains, culminating in his seminal monograph Self-Efficacy: The Exercise of Control (1997) and his methodological guide Guide for Constructing Self-Efficacy Scales (2006).

Extensive empirical adaptations and psychometric field validations of the 18-item barrier exercise self-efficacy paradigm were subsequently conducted by leading investigators in exercise psychology and behavioral medicine, notably Edward McAuley, Ph.D. (Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign), Rod K. Dishman, Ph.D. (Department of Kinesiology, University of Georgia), and Bess H. Marcus, Ph.D. (School of Public Health, Brown University / University of California San Diego). Inquiries regarding the historical conceptual framework are cataloged via the Department of Psychology at Stanford University, Stanford, CA 94305, USA.

4. Purpose

The primary clinical and research purpose of the Exercise Self-Efficacy Scale is to provide a standardized, fine-grained quantitative diagnostic of an individual’s agency beliefs regarding habitual exercise adherence under conditions of situational vulnerability. While generic intentions to adopt healthier lifestyles are common in the general population, physical activity behavior is notoriously plagued by the “intention-behavior gap.” Longitudinal epidemiological and behavioral interventions frequently document that initial rates of exercise adoption undergo steep attrition, with approximately 50% of unassisted participants terminating exercise programs within the initial six months. The ESES directly operationalizes the primary cognitive mechanism responsible for overcoming this attrition: domain-specific barrier self-efficacy.

In clinical health psychology and preventive cardiology, the ESES functions as a screening and prescriptive prognostic tool. Prior to enrolling patients in secondary cardiac rehabilitation, metabolic syndrome management, or weight reduction trials, clinicians administer the scale to identify specific environmental, psychological, or physiological vulnerabilities that jeopardize compliance. For instance, an individual who registers high efficacy under ideal conditions but displays near-zero confidence “When feeling depressed” or “After recovering from an illness” requires tailored cognitive-behavioral interventions—such as implementation intentions, relapse prevention planning, and cognitive reframing—prior to encountering those prospective barriers.

In research contexts, the ESES acts as a mediating variable in structural equation modeling evaluating public health interventions, digital mobile health (mHealth) systems, and randomized controlled physical activity trials. Researchers employ the scale to ascertain whether intervention strategies (e.g., motivational interviewing, supervised mastery experiences, peer vicarious modeling, or feedback tracking) successfully enhance regulatory beliefs, and whether this cognitive enhancement translates into verifiable increases in cardiorespiratory fitness, daily step counts, and long-term behavioral maintenance.

5. Psychological Construct

The psychological construct evaluated by the ESES is barrier-specific exercise self-efficacy. Self-efficacy refers to beliefs in one’s capabilities to organize and execute the courses of action required to produce given attainments. Crucially, self-efficacy is not an index of physical capacity, physiological endurance, or simple mechanical skill; rather, it reflects generative perceptual judgments about what one can accomplish with whatever skills and resources one possesses under conditions of stress, resistance, and competing alternatives.

Within the 18 items of the ESES, barrier self-efficacy encompasses three distinct yet intercorrelated experiential domains:

• Affective and Somatic States (Internal Barriers): This dimension examines an individual’s confidence to sustain their exercise regimen when encountering adverse emotional or bodily states. Items such as “When I am feeling tired” (Item 1), “When I am feeling depressed” (Item 6), “When I am feeling anxious” (Item 7), “When I feel physical discomfort when I exercise” (Item 9), and “When I don’t feel like it” (Item 16) evaluate the respondent’s resilience against internal cognitive-affective inertia. Individuals exhibiting low efficacy in this domain interpret somatic discomfort or negative affect as legitimate stop-signals, whereas high-efficacy individuals view internal fatigue as a manageable challenge that exercise itself may alleviate.
• External Competing Demands and Time Constraints: This dimension assesses agency in the presence of acute schedule conflicts, interpersonal obligations, and environmental friction. Measured by items such as “When I am feeling under pressure from work” (Item 2), “During bad weather” (Item 3), “When I have too much work to do at home” (Item 11), “When visitors are staying with me” (Item 12), “When there are other interesting things to do” (Item 13), and “When I have other time commitments” (Item 17), this facet captures self-regulatory planning, prioritization, and cognitive impulse control against appealing hedonic alternatives.
• Interruption Recovery and Resource Limitations: This dimension addresses the psychological vulnerabilities surrounding behavioral disruptions and environmental deprivation. Evaluated by “After recovering from an injury that caused me to stop exercising” (Item 4), “During or after experiencing personal problems of any kind” (Item 5), “After recovering from an illness that caused me to stop exercising” (Item 8), “After a vacation” (Item 10), “If I don’t have my favorite exercise equipment” (Item 14), “When I don’t have anyone to exercise with” (Item 15), and “After experiencing family problems” (Item 18), this construct measures post-cessation momentum recovery and autonomy, preventing temporary lapses from transforming into permanent programmatic collapses.

6. Theoretical Framework

The Exercise Self-Efficacy Scale is rooted in Bandura’s Social Cognitive Theory (SCT). SCT postulates a triadic reciprocal causation model wherein human functioning is the product of continuous, dynamic interactions among personal cognitive factors, environmental influences, and behavioral patterns. Within this triadic system, self-efficacy operates as the central cognitive governor determining whether human agency will be initiated, the amount of effort invested, the persistence sustained in the face of obstacles, and the emotional resilience exhibited following failure.

Bandura articulated four primary informational sources that cultivate self-efficacy beliefs, each directly relevant to how the ESES functions clinically:

• Enactive Mastery Experiences: Authenticated performance successes serve as the most potent vehicle for self-efficacy development. When an individual successfully navigates an exercise session despite being fatigued or traveling on vacation, this mastery experience alters their cognitive appraisal of identical future barriers, reflecting increased scores on the ESES.
• Vicarious Experiences: Observing similar peers successfully overcome situational impediments (e.g., witnessing a co-worker with equivalent family responsibilities successfully structure an early-morning workout) elevates the observer’s belief in their own capabilities.
• Verbal and Social Persuasion: Evaluative feedback, expert encouragement, and positive reinforcement from clinicians, exercise physiologists, or social networks reinforce an individual’s perception of capability.
• Physiological and Affective States: Somatic cues such as elevated heart rate, muscle burn, sweating, or acute exhaustion are cognitively interpreted. Individuals with low barrier self-efficacy interpret somatic arousal as signs of vulnerability or impending physical collapse, whereas high-efficacy individuals interpret the same physiological states as normative indicators of adaptive muscular and cardiovascular remodeling.

Bandura insisted on domain-specific measurement. Global constructs such as general self-esteem, generalized self-efficacy, or external locus of control possess low predictive utility regarding specific health behaviors because an individual may exhibit high confidence in vocational or academic arenas while possessing zero confidence in their ability to engage in physical training during times of depression or inclement weather. The ESES embodies this precise micro-analytic theoretical paradigm.

7. Validity

The construct, criterion, and predictive validities of the 18-item Exercise Self-Efficacy Scale have undergone extensive verification across hundreds of empirical trials spanning healthy adult cohorts, adolescent athletes, elderly community dwellers, and clinical populations recovering from myocardial infarction, stroke, osteoarthritis, and cancer.

Construct and Convergent Validity

Construct validity is substantiated by robust correlations between the ESES and theoretically related constructs within Social Cognitive Theory. Studies consistently report moderate-to-strong positive correlations (r = .45 to .68, p < .001) between ESES scores and self-reported physical activity (e.g., International Physical Activity Questionnaire [IPAQ], Godin-Shephard Leisure-Time Physical Activity Questionnaire). When validated against objective physiological markers, baseline ESES scores correlate significantly with peak oxygen consumption (VO₂ peak, r = .34 to .48) and total weekly step volume captured via tri-axial accelerometers (r = .41, p < .01).

Furthermore, convergent validity is verified by positive associations with behavioral self-regulation strategies (e.g., goal-setting, scheduling self-efficacy, r = .58 to .72) and social support for exercise (r = .38 to .51). Conversely, the scale demonstrates consistent negative correlations with depressive symptomatology measured via the Center for Epidemiologic Studies Depression Scale (CES-D, r = −.32 to −.46) and perceived barriers to exercise (r = −.52 to −.65).

Predictive and Discriminant Validity

The ESES displays exceptional predictive validity across prospective longitudinal designs. In randomized controlled lifestyle trials, baseline and 6-month mid-intervention ESES scores routinely predict exercise adherence at 12 and 24 months, accounting for unique variance (typically 15% to 28%) in sustained participation above and beyond demographic variables, baseline aerobic fitness, and explicit behavioral intentions. In post-rehabilitation cardiac populations, patients registering ESES scores in the upper tercile exhibit significantly fewer programmatic dropouts and higher rates of independent home exercise maintenance than those in the lowest tercile (Hazard Ratio = 0.42, 95% CI [0.28, 0.63]).

Discriminant validity has been confirmed via multitrait-multimethod matrices and structural equation models. The ESES demonstrates divergent validity from generalized self-efficacy (Sherer et al., r = .28 to .36, showing that domain-specific barrier efficacy is distinct from broad trait confidence), social desirability bias (Marlowe-Crowne Social Desirability Scale, r = .06 to .14, non-significant), and generalized trait anxiety (STAI, r = −.18, indicating that the scale does not merely measure underlying neurotic distress).

8. Reliability

The psychometric reliability of the Exercise Self-Efficacy Scale has been demonstrated across diverse language translations and cultural adaptations.

Internal Consistency

Across validation literature, the total 18-item scale consistently produces exceptionally high internal consistency estimates. Cronbach’s alpha coefficients typically fall between α = .89 and α = .95. For instance, in seminal investigations evaluating adult physical activity adopters, McAuley and colleagues reported alphas of .92 to .94 at baseline and follow-up assessments. Subscale analyses, when evaluated within multidimensional frameworks, likewise demonstrate strong reliability: internal/affective states (α = .85 to .91), external demands (α = .82 to .88), and post-recovery barriers (α = .80 to .86). McDonald’s omega (ω) coefficients mirror these findings (ω > .90), confirming that the high alpha values are not an artifact of tau-equivalence violations.

Test-Retest Reliability and Stability

The temporal stability of the ESES has been confirmed across non-interventional control intervals. Test-retest reliability coefficients over a 2-week interval typically range from r = .83 to .91, indicating high measurement stability in the absence of targeted cognitive-behavioral manipulation. Over extended observation periods (such as 3 to 6 months in non-intervention groups), intra-class correlation coefficients (ICC) remain robust (ICC = .74 to .82). Standard Error of Measurement (SEM) calculations reveal low measurement error, supporting the scale’s suitability for detecting genuine clinical changes over the course of behavioral therapy.

9. Factor Analysis

The structural composition of the 18-item ESES has been examined via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across diverse epidemiological, athletic, and rehabilitative datasets.

Unidimensional versus Multidimensional Factor Solutions

Bandura originally designed self-efficacy metrics to function as composite domain-specific indicators, and several psychometric investigations support an overarching unidimensional model. Under exploratory principal component analyses, researchers frequently identify a dominant first factor accounting for 48% to 62% of the total variance, with an eigenvalue exceeding 8.0, while secondary factors display eigenvalues hovering close to or below 1.0. All 18 items exhibit robust factor loadings on this general factor, typically ranging from λ = .52 to .84.

Conversely, when submitted to oblique rotation EFA and subsequent CFA, many empirical studies reveal an optimized three-factor correlated model or a hierarchical bifactor model:

• Factor 1: Internal Psychological/Affective Barriers: Encompasses items 1, 6, 7, 9, and 16. Loadings on this factor range from λ = .64 to .86. This factor reflects the cognitive struggle against fatigue, depression, anxiety, somatic discomfort, and lack of motivation.
• Factor 2: Competing External Demands and Time Pressures: Encompasses items 2, 3, 11, 12, 13, 14, 15, and 17. Loadings range from λ = .55 to .79. This factor clusters logistical disruptions, occupational load, domestic duties, bad weather, and missing social/equipment resources.
• Factor 3: Resumption and Disruption Recovery: Encompasses items 4, 5, 8, 10, and 18. Loadings range from λ = .58 to .81. This factor isolates self-regulatory bounce-back following illness, injury, family crises, or vacations.

Confirmatory Fit Indices

In confirmatory factor analytic evaluations, the three-factor correlated model and the second-order hierarchical model consistently yield satisfactory goodness-of-fit indices across large adult samples (N > 500):

• Comparative Fit Index (CFI): .93 to .97
• Tucker-Lewis Index (TLI): .92 to .96
• Root Mean Square Error of Approximation (RMSEA): .045 to .062 (with 90% confidence intervals bounded within .038 and .070)
• Standardized Root Mean Square Residual (SRMR): .038 to .051

Because the inter-factor correlations among the three latent dimensions are typically substantial (ranging from r = .60 to .78), researchers frequently employ the composite unidimensional score (averaging all 18 items) for broad predictive modeling, while reserving subscale scores for granular clinical intervention profiling.

10. Instrument / Measurement Tool

• Name of Tool: Exercise Self-Efficacy Scale (ESES)
• Target Construct: Perceived barrier self-efficacy for maintaining regular physical activity under challenging circumstances
• Theoretical Basis: Social Cognitive Theory (Albert Bandura, 1997)
• Number of Items: 18 standardized items
• Response Scale: Authentic 11-point percentage scale from 0% (“Cannot do at all”) to 50% (“Moderately can do”) to 100% (“Highly certain can do”) in increments of 10 (i.e., 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%)
• Administration Format: Self-administered paper-and-pencil, computer-assisted web interview (CAWI), or clinical interview
• Target Population: Adults and adolescents aged 14+ across healthy, community, occupational, and clinical/rehabilitation settings
• Estimated Completion Time: 4 to 7 minutes
• Scoring Rules:
  • Scores for each item range numerically from 0 to 100 (in steps of 10).
  • No items are reverse-scored; higher percentage values uniformly represent greater confidence.
  • An overall continuous self-efficacy score is calculated by summing the ratings across all 18 items and dividing by the total number of items (18), yielding an aggregate composite score ranging from 0 to 100.
  • Subscale scores (if evaluated multidimensionally) are calculated by summing the respective items within that factor and dividing by the number of items in that subscale.
• Score Interpretation:
  • 0 – 39%: Low barrier self-efficacy; extreme vulnerability to exercise cessation under minor external or internal stress; intensive behavioral scaffolding and barrier counseling indicated.
  • 40 – 69%: Moderate barrier self-efficacy; capable of exercise maintenance in structured environments, but prone to relapse during personal crises, recovery from illness, or heavy workloads.
  • 70 – 100%: High barrier self-efficacy; robust behavioral resilience; highly capable of independent long-term exercise maintenance and rapid relapse recovery.

11. Permissions & Fee and Test Year

The Exercise Self-Efficacy Scale originated from the scientific framework formulated by Albert Bandura in 1997 (detailed in Self-Efficacy: The Exercise of Control) and formally expanded in methodological compendia in 2006. As a fundamental psychometric paradigm developed under academic research auspices, Bandura placed his self-efficacy scales in the public domain for non-commercial academic research, educational use, and clinical practice. No royalties, licensing fees, or formal authorization requests are mandated for non-profit academic research, provided that appropriate scholarly attribution is accorded to Albert Bandura and the validating empirical authors.

Commercial clinical trials, proprietary mobile health software integration, or profit-driven corporate wellness applications must ensure that their implementation respects foundational fair use and cite standard published primary sources. Investigators translating or modifying the scale are urged to follow standard forward-backward translation protocols and conduct local psychometric re-standardization.

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
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
• Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman and Company.
• Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 307–337). Information Age Publishing.
• Dishman, R. K., Motl, R. W., Sallis, J. F., Burgess, D. B., Saunders, R. P., & Pate, R. R. (2004). Self-efficacy partially mediates the effect of a school-based physical activity intervention among adolescent girls. Preventive Medicine, 38(5), 628–636. https://doi.org/10.1016/j.ypmed.2003.12.007
• Marcus, B. H., Selby, V. C., Niaura, R. S., & Rossi, J. S. (1992). Self-efficacy and the stages of exercise behavior change. Research Quarterly for Exercise and Sport, 63(1), 60–66. https://doi.org/10.1080/02701367.1992.10607557
• McAuley, E. (1992). The role of efficacy cognitions in the prediction of exercise behavior in middle-aged adults. Journal of Behavioral Medicine, 15(1), 65–77. https://doi.org/10.1007/BF00848378
• McAuley, E., & Blissmer, B. (2000). Self-efficacy determinants and consequences of physical activity. Exercise and Sport Sciences Reviews, 28(2), 85–88.
• McAuley, E., Jerome, G. J., Elavsky, S., Marquez, D. X., & Ramsey, S. N. (2003). Predicting long-term maintenance of physical activity in older adults. Preventive Medicine, 37(2), 110–118. https://doi.org/10.1016/S0091-7435(03)00089-6
• Sallis, J. F., Pinski, R. B., Grossman, R. M., Patterson, T. L., & Nader, P. R. (1988). The development of self-efficacy scales for health-related diet and exercise behaviors. Health Education Research, 3(3), 283–292. https://doi.org/10.1093/her/3.3.283

13. Items of the Scale