Sport Emotion Questionnaire (SEQ)

1. Abstract

The Sport Emotion Questionnaire (SEQ) is a psychometrically validated, multidimensional self-report instrument developed to assess pre-competitive emotional states among competitive athletes. Conceptualized by sport psychology researchers Marc V. Jones, Andrew M. Lane, Steven R. Bray, Mark A. Uphill, and James Catlin in 2005, the instrument addresses historical limitations in athletic emotion assessment, which had predominantly focused on unidimensional pre-competitive anxiety (e.g., the Competitive State Anxiety Inventory-2) or broad, non-contextual mood inventories (e.g., the Profile of Mood States). Rooted primarily in Richard Lazarus’s Cognitive-Motivational-Relational Theory (CMRT) of emotion, the SEQ assesses five discrete pre-competitive emotional constructs: Anxiety, Dejection, Anger, Excitement, and Happiness across 22 operationalized items.

Respondents evaluate the extent to which they experience each emotional state at the immediate moment in relation to an upcoming competitive event using a 5-point Likert-type response scale ranging from 0 (Not at all) to 4 (Extremely). Psychometric evaluations using confirmatory factor analyses demonstrate that the five-factor oblique structure possesses robust factorial validity across independent athlete samples (e.g., Comparative Fit Index [CFI] > .95; Non-Normed Fit Index [NNFI] > .95; Root Mean Square Error of Approximation [RMSEA] < .06). Subscale reliability metrics consistently establish high internal consistency, with Cronbach’s alpha coefficients typically exceeding .80. Concurrent, discriminant, and construct validity have been substantiated through systematic correlations with generalized affect scales, physiological indicators, subjective performance ratings, and behavioral outcomes. Consequently, the SEQ serves as a standard psychometric benchmark for researchers and applied practitioners seeking to profile pre-competition emotion, examine idiosyncratic emotional patterns, and design tailored psychological interventions.

2. Keywords

Sport Emotion Questionnaire, SEQ, precompetitive emotion, athletic performance, sports psychology, state anxiety, dejection, excitement, athletic affect, psychometrics, Cognitive-Motivational-Relational Theory, emotion regulation

3. Authors

The Sport Emotion Questionnaire was developed and validated through a multi-institutional collaborative effort led by prominent researchers in performance psychology and psychometrics:

• Marc V. Jones, Ph.D. — Professor of Psychology, School of Psychology, Sport and Physical Activity, Staffordshire University / Manchester Metropolitan University, United Kingdom. Specialist in stress, appraisal, and physiological responses to athletic competition.
• Andrew M. Lane, Ph.D. — Professor of Sport Psychology, Center for Health and Social Care Improvement, University of Wolverhampton, United Kingdom. Internationally recognized scholar on emotional profiling, mood regulation, and running performance.
• Steven R. Bray, Ph.D. — Professor of Kinesiology, Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada. Expert in exercise psychology, self-efficacy, self-regulation, and home advantage dynamics.
• Mark A. Uphill, Ph.D. — Reader in Sport and Exercise Psychology, School of Human and Life Sciences, Canterbury Christ Church University, United Kingdom. Specialist in emotional regulation, cognitive appraisals, and qualitative athletic inquiry.
• James Catlin, M.Sc. — Applied Sport Psychologist and Researcher, Staffordshire University, United Kingdom. Contributor to early instrument conceptualization, athlete interviews, and psychometric field trials.

4. Purpose

For decades, sport psychology research into pre-event psychological states was constrained by two methodological and conceptual bottlenecks. First, the discipline exhibited an operational overemphasis on state anxiety as the sole emotional determinant of motor performance, driven by tools such as the Competitive State Anxiety Inventory-2 (CSAI-2). While anxiety is undeniable in competitive contexts, athletes routinely experience a much richer emotional landscape, including anger, exhilaration, depressive dejection, and joy. Second, researchers frequently utilized general psychiatric or non-sport affect batteries, such as the Profile of Mood States (POMS) or the Positive and Negative Affect Schedule (PANAS). Although valuable, these instruments evaluate generalized affect or long-term mood over extended periods (e.g., “past week including today”) rather than capturing discrete, state-specific emotional reactions anchored specifically to competition.

The primary purpose of the Sport Emotion Questionnaire is to provide a theoretically grounded, psychometrically sound, sport-specific self-report instrument capable of capturing discrete pre-competitive emotions. Specifically, the SEQ was designed to:

• Disentangle Discrete Emotions: Discriminate between phenomenologically distinct unpleasant emotions (e.g., differentiating between the high-arousal threat of Anxiety, the high-arousal goal-obstruction of Anger, and the low-arousal helplessness of Dejection).
• Incorporate Positive Affective Dimensions: Capture pleasant pre-competitive states (Excitement and Happiness), acknowledging that positive emotions substantially shape attentional focus, mental resilience, effort allocation, and tactical decision-making.
• Provide Momentary Temporal Sensitivity: Standardize a state-specific instruction stem (“how you feel right now, at this moment, in relation to the upcoming competition”) that captures dynamic emotional fluctuations occurring across pre-competitive timeframes (e.g., days, hours, or minutes prior to performance).
• Bridge Applied and Empirical Spheres: Furnish sport psychologists, coaches, and researchers with an efficient, 22-item inventory that imposes minimal cognitive burden on athletes during critical preparation periods while delivering comprehensive diagnostic data for cognitive-behavioral and emotional regulation interventions.

5. Psychological Construct

The SEQ conceptualizes pre-competitive emotion as an acute, multifaceted state characterized by distinct cognitive evaluations, subjective physiological sensations, and action tendencies. Unlike enduring moods or stable personality traits, these discrete emotions are transactional, meaning they arise from an athlete’s ongoing evaluation of their personal coping resources relative to environmental competitive demands. The instrument operationalizes five discrete emotional constructs:

Anxiety

Anxiety is characterized by feelings of apprehension, physical tension, and perceived personal threat or uncertainty regarding performance outcome. Grounded in appraisal theory, anxiety surfaces when an athlete appraises an upcoming contest as personally meaningful, yet doubts their capacity to execute skills or maintain control over external demands. The construct is manifested cognitively via worry and apprehensiveness, and somatically via visceral tension and autonomic arousal. In the SEQ, Anxiety is captured through operational markers such as feeling uneasy, tense, nervous, apprehensive, and anxious.

Dejection

Dejection represents an unpleasant, low-activation emotional state characterized by sadness, discouragement, and mental deflation. Arising from appraisals of irrevocable loss, perceived helplessness, or insurmountable deficits in capability, dejection is frequently observed in athletes coping with recent performance slumps, injury setbacks, unsupportive selection decisions, or severe self-doubt. Whereas anxiety mobilizes physiological resources to confront a threat, dejection promotes behavioral withdrawal, attentional blunting, and diminished drive. The SEQ operationalizes Dejection via terms such as upset, sad, unhappy, disappointed, and dejected.

Anger

Anger represents a high-activation, approach-oriented unpleasant emotion provoked by perceived personal offenses, unfair officiating, interpersonal conflict, or goal obstruction. In competitive environments, anger triggers substantial physiological mobilization, autonomic arousal, and targeted attentional narrowing. While unchecked anger may lead to aggressive penalties and compromised fine-motor coordination, controlled anger can facilitate gross-motor power, physical assertiveness, and pain tolerance. The SEQ evaluates Anger through indicators such as feeling irritated, furious, annoyed, and angry.

Excitement

Excitement is a high-activation, pleasant emotional state stemming from a positive challenge appraisal. When athletes perceive competitive demands as rigorous yet manageable opportunities to demonstrate competence and achieve mastery, they experience excitement. Characterized by heightened physiological readiness, optimism, and anticipation, excitement fosters broad cognitive processing, rapid reaction times, and intrinsic task engagement without the debilitating worry of anxiety. The SEQ captures Excitement through markers such as feeling exhilarated, excited, enthusiastic, and energetic.

Happiness

Happiness reflects a pleasant affective state characterized by contentment, subjective well-being, satisfaction, and positive environmental affiliation. Within competitive preparation, happiness fosters psychological safety, strengthens team cohesion, promotes mental flexibility, and prevents cognitive overload. While closely correlated with excitement, happiness generally exhibits a broader, more stable affective profile rather than purely physiological readiness. The SEQ assesses Happiness through descriptors including feeling pleased, joyful, cheerful, and happy.

6. Theoretical Framework

The theoretical architecture of the SEQ is primarily anchored in Richard S. Lazarus’s Cognitive-Motivational-Relational Theory (CMRT) of emotion (Lazarus, 1991, 1999, 2000). According to CMRT, emotions are not simple physiological reflexes or unstructured mood states; rather, they are organized reactions generated by an individual’s ongoing cognitive appraisal of person-environment transactions. Lazarus posited that discrete emotions are defined by distinct core relational themes, which summarize the specific harm, benefit, or threat embedded within an event:

• Primary Appraisal: Involves evaluating whether an encounter is relevant to personal goals (goal relevance), whether it aligns with or impedes those goals (goal congruence or incongruence), and the degree of personal investment or ego involvement (e.g., self-esteem, moral values, identity). In the SEQ framework, unpleasant emotions (Anxiety, Anger, Dejection) originate from goal-incongruent appraisals, while pleasant emotions (Excitement, Happiness) emerge from goal-congruent evaluations.
• Secondary Appraisal: Focuses on coping options and resources. It addresses blame or credit attributions, coping potential (the perceived ability to manage situational demands), and future expectations (optimism regarding whether conditions will improve or deteriorate). For instance, when coping potential is perceived as dubious under goal-incongruent demands, Anxiety is provoked; when an external entity is held blameworthy for goal blocking, Anger emerges; when coping potential is evaluated as negligible and loss is perceived as inevitable, Dejection results.

Additionally, the conceptualization of the SEQ interfaces with Yuri Hanin’s Individual Zones of Optimal Functioning (IZOF) model (Hanin, 2000). The IZOF framework challenges the assumption that pleasant emotions uniformly aid performance and unpleasant emotions uniformly harm it. Instead, Hanin demonstrated that athletic performance depends on an idiosyncratic blend of functionally optimal and dysfunctional emotional states. By assessing both pleasant and unpleasant discrete emotions independently rather than collapsing them into a single bipolar valence continuum, the SEQ enables practitioners to empirically establish an athlete’s personalized emotional profile corresponding to peak performance.

7. Validity

The structural, construct, and concurrent validity of the SEQ were established through a comprehensive, multi-phase developmental process detailed by Jones, Lane, Bray, Uphill, and Catlin (2005):

Content and Face Validity

The generation of the SEQ’s item pool utilized a combination of deductive methods (reviewing existing theoretical frameworks of emotion and validated inventories) and inductive procedures (structured interviews with competitive athletes across individual and team disciplines). During initial item generation, an extensive list of emotion descriptors was curated. Panels of expert sport psychologists, psychometricians, and elite athletes evaluated each item for semantic clarity, sports relevance, and conceptual distinctiveness, systematically eliminating redundant, ambiguous, or colloquial terms to yield an initial experimental battery.

Factorial and Construct Validity

Jones et al. (2005) tested the structural integrity of the SEQ across multiple independent samples of competitive performers. Initial exploratory factor analyses (EFA) demonstrated clear separation of items into the hypothesized discrete emotional domains. Subsequent confirmatory factor analyses (CFA) tested rival model architectures, including unidimensional models, orthogonal models, and hierarchical structures. The five-factor oblique model consistently demonstrated superior fit to the empirical data across both developmental and cross-validation cohorts:

• Comparative Fit Index (CFI) > .95
• Non-Normed Fit Index (NNFI) / Tucker-Lewis Index (TLI) > .95
• Root Mean Square Error of Approximation (RMSEA) values consistently between .045 and .058, well below the conventional .06 threshold for excellent model fit
• Standardized Root Mean Square Residual (SRMR) < .055

Concurrent and Criterion Validity

Concurrent validity has been substantiated by benchmarking the SEQ against established psychological scales. The Anxiety subscale demonstrates strong positive correlations (r = .68 to .78) with the cognitive and somatic anxiety subscales of the CSAI-2 and the revised CSAI-2R, alongside moderate negative correlations with self-confidence. The Excitement and Happiness subscales correlate significantly with the Positive Affect dimension of the PANAS (r > .60), while Dejection and Anxiety map strongly onto the Negative Affect dimension. In applied field research, Vast, Young, and Thomas (2010) demonstrated criterion validity by observing systematic variations in SEQ subscale scores before and after competition that directly predicted objective motor performance, situational mastery, and perceived error rates.

8. Reliability

The Sport Emotion Questionnaire exhibits high internal consistency and scale reliability across diverse athletic populations, competitive skill tiers (from collegiate to elite international levels), and competitive settings:

Internal Consistency Metrics

In the initial instrument validation studies by Jones et al. (2005), internal consistency coefficients (evaluated using Cronbach’s alpha, $\alpha$) across multiple independent athlete samples consistently exceeded the standard .70 benchmark for psychological research:

• Anxiety: $\alpha$ coefficients range from .83 to .88
• Dejection: $\alpha$ coefficients range from .81 to .86
• Anger: $\alpha$ coefficients range from .80 to .87
• Excitement: $\alpha$ coefficients range from .77 to .84
• Happiness: $\alpha$ coefficients range from .85 to .89

Subsequent psychometric evaluations across international adaptations and translated versions (e.g., European and Asian athlete cohorts) have corroborated these estimates, typically yielding composite reliability (CR) values exceeding .80 and average variance extracted (AVE) values exceeding .50 for all five latent dimensions, confirming that variance captured by each construct exceeds measurement error.

Temporal Stability Considerations

Because the SEQ is an explicit measure of state emotion rather than stable personality traits, classical test-retest reliability ($r_{tt}$) over extended intervals (such as weeks or months) is neither expected nor theoretically desirable. Emotional states are inherently dynamic and sensitive to proximity to competition, shifting situational appraisals, and performance feedback. However, short-interval test-retest assessments administered under identical baseline, non-competitive conditions (e.g., 30 minutes apart prior to a practice bout) demonstrate stability coefficients exceeding .85, confirming that the scale is not confounded by random measurement error while remaining sensitive to real situational shifts in psychological state.

9. Factor Analysis

The factorial structure of the SEQ was developed using a rigorous two-step structural equation modeling paradigm involving distinct calibration and validation samples of competitive athletes (totaling over 800 participants during the initial validation program):

Exploratory Factor Analysis (EFA)

During the preliminary calibration phases, principal axis factoring with oblique (promax/direct oblimin) rotation was applied to identify the latent structure of the item pool. Oblique rotation was selected based on the theoretical premise that human emotions are correlated rather than mutually exclusive. The extraction criteria confirmed a clear five-factor solution accounting for the majority of the cumulative variance. Items demonstrated high primary pattern loadings on their target constructs (predominantly > .65) with negligible cross-loadings (< .25).

Confirmatory Factor Analysis (CFA)

To confirm the validity of this latent structure, CFA was performed on an independent validation cohort. Standard maximum likelihood estimation and robust estimation methods (Satorra-Bentler scaled $\chi^2$) were evaluated. The goodness-of-fit parameters confirmed that the hypothesized five-factor oblique model fit the observed covariance matrix cleanly:

• Model Fit Indices: Satorra-Bentler $\chi^2 / df$ ratio < 2.1, Comparative Fit Index (CFI) = .96, Non-Normed Fit Index (NNFI) = .95, Root Mean Square Error of Approximation (RMSEA) = .052 (90% CI [.044, .059]), and Standardized Root Mean Square Residual (SRMR) = .049.
• Factor Loadings: All 22 standardized factor loadings were statistically significant ($p < .001$), with standardized coefficients ranging from .62 to .88, confirming high construct representation.
• Factor Intercorrelations: CFA factor correlations revealed expected theoretical relationships: Anxiety, Dejection, and Anger exhibited moderate positive intercorrelations ($r = .35$ to $.55$); Excitement and Happiness exhibited strong positive intercorrelations ($r = .65$ to $.75$); while correlations between pleasant and unpleasant dimensions were low or slightly inverse ($r = -.10$ to $-.30$), underscoring the multidimensional independence of positive and negative competitive affect.

10. Instrument / Measurement Tool

• Instrument Name: Sport Emotion Questionnaire (SEQ)
• Assessment Type: Self-report psychometric rating scale
• Target Population: Competitive athletes across all skill tiers (adolescents and adults; individual and team sports)
• Total Number of Items: 22 discrete emotion descriptors
• Underlying Factors / Subscales (5):
  • Anxiety: 5 items (Uneasy, Tense, Nervous, Apprehensive, Anxious)
  • Dejection: 5 items (Upset, Sad, Unhappy, Disappointed, Dejected)
  • Anger: 4 items (Irritated, Furious, Annoyed, Angry)
  • Excitement: 4 items (Exhilarated, Excited, Enthusiastic, Energetic)
  • Happiness: 4 items (Pleased, Joyful, Cheerful, Happy)
• Authentic Response Scale: 5-point Likert scale:
  • 0 = Not at all
  • 1 = A little
  • 2 = Moderately
  • 3 = Quite a bit
  • 4 = Extremely
• Administration Time: Approximately 2 to 4 minutes
• Standard Administration Protocol: Athletes complete the inventory in reference to an upcoming competitive event using the standardized instruction stem: “indicate on the scale next to each item how you feel right now, at this moment, in relation to the upcoming competition.”
• Scoring Procedures: Subscale scores can be derived either as a mean item score (ranging from 0.0 to 4.0) or as a summed score:
  • Anxiety Score: Mean of items (Uneasy + Tense + Nervous + Apprehensive + Anxious) / 5 [or sum range: 0–20]
  • Dejection Score: Mean of items (Upset + Sad + Unhappy + Disappointed + Dejected) / 5 [or sum range: 0–20]
  • Anger Score: Mean of items (Irritated + Furious + Annoyed + Angry) / 4 [or sum range: 0–16]
  • Excitement Score: Mean of items (Exhilarated + Excited + Enthusiastic + Energetic) / 4 [or sum range: 0–16]
  • Happiness Score: Mean of items (Pleased + Joyful + Cheerful + Happy) / 4 [or sum range: 0–16]
• Reverse-Scored Items: None. All items are positively keyed toward their respective emotional constructs.

11. Permissions & Fee and Test Year

The Sport Emotion Questionnaire was published in 2005 in the Journal of Sport and Exercise Psychology by Marc V. Jones, Andrew M. Lane, Steven R. Bray, Mark A. Uphill, and James Catlin. The copyright for the original validation publication is held by Human Kinetics, Inc. However, consistent with academic psychometric conventions, the questionnaire items and scoring rubrics are made available for non-commercial educational, scientific, and applied athletic research, provided appropriate formal citation is given to the original authors.

Practitioners, collegiate athletic departments, and academic researchers may reproduce and administer the scale free of financial charge for non-commercial purposes. Commercial software integration, mobile application deployment, or proprietary testing packages that charge end-users generally require formal licensing consent from the primary author (Marc V. Jones) and the copyright publisher (Human Kinetics).

12. References

• Cox, R. H., Martens, M. P., & Russell, W. D. (2003). Measuring anxiety in athletics: The revised competitive state anxiety inventory-2. Journal of Sport and Exercise Psychology, 25(4), 519–533. https://doi.org/10.1123/jsep.25.4.519
• Hanin, Y. L. (2000). Emotions in sport. Human Kinetics.
• Jones, M. V., Lane, A. M., Bray, S. R., Uphill, M., & Catlin, J. (2005). Development and validation of the Sport Emotion Questionnaire. Journal of Sport and Exercise Psychology, 27(4), 407–431. https://doi.org/10.1123/jsep.27.4.407
• Lane, A. M., & Terry, P. C. (2000). The nature of mood: Development of a conceptual model with a focus on depression. Journal of Applied Sport Psychology, 12(1), 16–33. https://doi.org/10.1080/10413200008404211
• Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press.
• Lazarus, R. S. (1999). Stress and emotion: A new synthesis. Springer Publishing Company.
• Lazarus, R. S. (2000). How emotions influence performance in competitive sports. The Sport Psychologist, 14(3), 229–252. https://doi.org/10.1123/tsp.14.3.229
• Martens, R., Vealey, R. S., & Burton, D. (1990). Competitive anxiety in sport. Human Kinetics.
• Vast, R. L., Young, R. L., & Thomas, P. R. (2010). Emotions in sport: Perceived effects on attention, concentration, and performance. Australian Psychologist, 45(2), 132–140. https://doi.org/10.1080/00050060903261538

13. Items of the Scale (Questionnaire)