Flow State Scale–2 (FSS-2)

1. Abstract

The Flow State Scale–2 (FSS-2) is a 36-item psychometric instrument developed by Susan A. Jackson and Robert C. Eklund (2002) designed to assess the subjective experience of flow—a state of optimal psychological functioning characterized by total task absorption, focused concentration, effortless control, and intrinsic reward—within the context of physical activity, sports, and exercise. Building upon Mihaly Csikszentmihalyi’s nine-dimensional conceptual framework of flow and revising the original Flow State Scale (Jackson & Marsh, 1996), the FSS-2 evaluates an individual’s psychological state during a discrete, recently completed event. The instrument features nine distinct subscales corresponding directly to Csikszentmihalyi’s theoretical dimensions: Challenge-Skill Balance, Action-Awareness Merging, Clear Goals, Unambiguous Feedback, Concentration on Task at Hand, Sense of Control, Loss of Self-Consciousness, Transformation of Time, and Autotelic Experience.

Each dimension is assessed via four items scored on a 5-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree), yielding both subscale-specific scores and an overarching global flow state composite score. Extensive psychometric evaluations utilizing confirmatory factor analysis (CFA) demonstrate that the FSS-2 exhibits robust construct validity, high internal consistency (subscale Cronbach’s α coefficients consistently ranging from .80 to .92), and strong invariance across competitive sports, exercise regimens, and performing arts contexts. The instrument serves as a gold-standard assessment tool for performance psychologists, exercise scientists, and clinical researchers investigating optimal experience, performance enhancement, intrinsic motivation, and athletic wellbeing.

2. Keywords

Flow State Scale-2, FSS-2, flow state, Mihaly Csikszentmihalyi, optimal experience, sport psychology, exercise psychology, psychometrics, intrinsic motivation, peak performance, autotelic experience, state measurement.

3. Authors

The Flow State Scale–2 was developed and psychometrically validated by:

• Susan A. Jackson, Ph.D. – Formerly affiliated with the School of Human Movement Studies at the University of Queensland, St. Lucia, Queensland, Australia. Dr. Jackson is an internationally recognized sport psychologist and pioneer in the empirical operationalization of flow states in sports and physical activity. She currently directs Mindful Performance, consulting with elite athletes and corporate organizations.
• Robert C. Eklund, Ph.D. – Professor of Sport and Exercise Psychology, previously affiliated with the University of Western Australia and the Florida State University, and currently holding academic leadership positions in kinesiology and sport psychology. Dr. Eklund has published extensively on cognitive appraisals, athletic burnout, competitive stress, and psychometrics in sport sciences.

Corresponding academic inquiry regarding the historical validation of the scale may be directed to the literature published in the Journal of Sport & Exercise Psychology or through commercial distribution channels licensed to manage the instrument’s copyright.

4. Purpose

The primary purpose of the Flow State Scale–2 (FSS-2) is to provide a theoretically grounded, psychometrically rigorous, and standardized self-report metric for quantifying the multidimensional experience of flow immediately following participation in a targeted activity. Rooted in humanistic and positive psychology paradigms, the scale operationalizes Csikszentmihalyi’s (1975, 1990) postulation that peak human performance and deep psychological satisfaction converge when an individual becomes fully immersed in an activity for its own sake.

Research Applications

In academic research, the FSS-2 addresses the imperative to capture flow as a state phenomenon rather than a stable personality trait. While its companion instrument, the Dispositional Flow Scale–2 (DFS-2), evaluates an individual’s general frequency and propensity to experience flow across daily life, the FSS-2 evaluates an acute episode of performance or exercise that occurred within the immediate past (typically within minutes to a few hours post-event). This distinction is critical for experimental and field research exploring the situational antecedents, physiological correlates, and immediate behavioral outcomes of optimal psychological states.

Researchers utilize the FSS-2 to examine how manipulated environmental variables (e.g., coach feedback, competitive pressure, mindfulness interventions, auditory pacing, and autonomy-supportive coaching climates) influence the emergence of flow. Furthermore, the scale facilitates cross-domain inquiries, allowing exercise scientists, cognitive ergonomists, and performance researchers to assess whether varying training volumes, high-intensity functional training sessions, or virtual reality environments foster deeper states of psychological immersion and task enjoyment.

Applied and Clinical Applications

In applied sport psychology and athletic consulting, the FSS-2 provides practitioners with diagnostic granularity. Rather than merely assessing whether an athlete “felt good” or performed well, the FSS-2 dissects the psychological anatomy of a performance into nine distinct components. For example, an athlete may score exceptionally high on Clear Goals and Concentration on Task at Hand, but exhibit depressed scores on Challenge-Skill Balance or Loss of Self-Consciousness. This diagnostic profiling enables sport psychologists to design targeted cognitive-behavioral, attention-control, or acceptance-based interventions aimed at remediating specific psychological bottlenecks that impede optimal immersion.

Beyond competitive athletics, the FSS-2 is applied in rehabilitation and clinical exercise psychology. Rehabilitation specialists employ the tool to monitor patient engagement during physical therapy and neurorehabilitation protocols. When therapeutic tasks induce a balance between patient capabilities and rehabilitative demands, patients report heightened flow, leading to increased adherence, reduced perception of somatic pain, and elevated intrinsic motivation to pursue therapeutic regimens.

5. Psychological Construct

The psychological construct evaluated by the FSS-2 is flow, defined as a subjective state of complete absorption, effortless attention, optimal arousal, and intrinsic enjoyment experienced when participating in an activity. Rather than conceptualizing flow as an amorphous, unidimensional state of euphoria or “being in the zone,” Jackson and Eklund operationalized flow as a nine-factor construct directly aligned with Csikszentmihalyi’s theoretical taxonomy. The FSS-2 contains nine four-item subscales:

1. Challenge-Skill Balance

This dimension captures the dynamic equilibrium between the perceived situational demands of the task and the individual’s confidence in their personal capabilities. Flow manifests neither when challenges drastically exceed skills (which elicits cognitive anxiety and distress) nor when skills exceed challenges (which produces boredom or apathy). An athlete experiencing challenge-skill balance perceives the task as highly demanding yet feels fully competent and equipped to meet those demands.

2. Action-Awareness Merging

Action-awareness merging describes the seamless integration of behavior and conscious perception. During this state, performance appears automatic and effortless; the individual ceases to observe themselves from an external vantage point. The performer and the activity become phenomenologically indistinguishable. For example, a marathon runner ceases to consciously command each stride; running simply unfolds spontaneously without deliberate mental friction.

3. Clear Goals

This subscale evaluates the degree of clarity regarding task objectives and operational targets throughout the event. In a flow state, the individual possesses an unequivocal understanding of what must be accomplished at every successive instant. Rather than worrying about distal outcomes, the performer’s goals are immediate, proximate, and structurally defined, guiding attention and action without ambiguity.

4. Unambiguous Feedback

This dimension measures the immediacy and clarity of behavioral and sensory feedback. In flow, individuals do not need to pause their actions to determine whether they are executing effectively. Continuous, real-time feedback—derived directly from kinesthetic awareness, visual trajectories, or immediate task results—informs the performer instantaneously of their success, allowing for micro-adjustments without cognitive over deliberation.

5. Concentration on Task at Hand

Concentration on task at hand reflects intense, focused attention directed exclusively toward task-relevant stimuli. Extraneous cognitive intrusions, environmental distractors (such as crowd noise or opponent posturing), and irrelevant internal dialogues are completely filtered out of conscious awareness. The individual’s total attentional capacity is dedicated entirely to the ongoing execution of the activity.

6. Sense of Control

This subscale reflects an underlying sense of mastery, personal agency, and calm security. Performers do not necessarily experience active, conscious dominance over every parameter; rather, they feel an absence of anxiety regarding failure and an unshakeable belief that they can respond adaptively to any contingency that arises during the performance.

7. Loss of Self-Consciousness

Loss of self-consciousness denotes the cessation of ego-oriented evaluation, self-criticism, and social evaluative anxiety. The performer stops ruminating on how they appear to others, whether they are being judged, or what the social implications of failure might be. Because cognitive resources are entirely committed to task execution, the self-reflective “ego” temporarily quiets.

8. Transformation of Time

This dimension captures alterations in the subjective perception of temporal passage. Performers frequently report that time appears either to dramatically accelerate (e.g., hours passing like minutes) or, conversely, to slow down into a state of heightened sensory resolution (e.g., a baseball batter perceiving a 95 mph fastball as moving in slow motion). In the FSS-2, this factor operationalizes these subjective distortions of physical time.

9. Autotelic Experience

Derived from the Greek words auto (self) and telos (goal), the autotelic dimension captures the intrinsically rewarding nature of the activity. An autotelic experience is pursued not for external acclaim, monetary compensation, or social validation, but because the experiential state itself is deeply enjoyable, fulfilling, and inherently worthwhile. This dimension represents the psychological consummation of the flow experience.

6. Theoretical Framework

The structural and conceptual foundation of the FSS-2 rests upon Mihaly Csikszentmihalyi’s flow theory, situated within the broader landscape of positive psychology, humanistic psychology, and contemporary cognitive science.

Csikszentmihalyi’s Experiential Model

In his seminal work, Beyond Boredom and Anxiety (1975), Csikszentmihalyi investigated artists, chess players, rock climbers, and surgeons to determine why individuals engage in complex, physically exhausting, or hazardous activities in the complete absence of external reinforcement. He identified a common phenomenological state, labeled “flow,” wherein human consciousness becomes fully harmonized. Csikszentmihalyi conceptualized consciousness as an information-processing system governed by attention, or “psychic energy.” When incoming information aligns completely with an individual’s intentions and goals, psychic entropy is minimized, resulting in optimal psychological order.

The central postulate of this framework is the dynamic interaction between perceived environmental challenges and perceived personal skills. In early iterations of the model, Csikszentmihalyi mapped this interaction across two dimensions, illustrating that anxiety occurs when challenges exceed skills, boredom emerges when skills surpass challenges, and flow is generated exclusively in the corridor where both challenge and skill are elevated to high levels. Jackson and Eklund preserved this core premise while expanding the operational measurement to evaluate all nine components that Csikszentmihalyi subsequent syntheses (1990) identified as universal across human performance contexts.

Neurocognitive and Attentional Paradigms

From an information-processing perspective, human working memory has a strictly limited bandwidth (Sweller, 1988). Normal conscious experience involves significant cognitive overhead devoted to self-referential thought, metacognition, threat monitoring, and emotional regulation. During flow, the simultaneous presence of clear goals, immediate feedback, and elevated task demands saturates working memory with task-relevant data. Consequently, resources are diverted away from the default mode network (DMN), the neural architecture primarily responsible for self-rumination and temporal projection.

This theoretical alignment has gained modern neurobiological support through the transient hypofrontality hypothesis (Dietrich, 2004). Dietrich proposed that the intense concentration and effortless automaticity characteristic of flow stem from a temporary, selective downregulation of higher-order prefrontal cortical structures. By quieting explicit analytical monitoring and self-criticism, motor circuits and implicit procedural memory systems operate with maximum efficiency, directly manifesting as the Action-Awareness Merging and Loss of Self-Consciousness captured by the FSS-2.

Self-Determination Theory Integration

The theoretical framework of the FSS-2 also interfaces directly with Self-Determination Theory (Deci & Ryan, 2000). The Autotelic Experience dimension represents the zenith of intrinsic motivation, where an activity is sustained purely through the psychological satisfaction derived from its execution. The presence of flow reflects the complete fulfillment of the basic psychological needs for competence (via challenge-skill balance and unambiguous feedback) and autonomy (via self-directed immersion and sense of control).

7. Validity

The psychometric integrity of the Flow State Scale–2 has been demonstrated through empirical evaluations across competitive athletics, collegiate physical education, recreational fitness, and performing arts. During the structural revision of the original 36-item Flow State Scale (Jackson & Marsh, 1996), Jackson and Eklund (2002) conducted rigorous validation studies designed to optimize item functioning, eliminate psychometrically problematic items, and confirm construct validity.

Construct and Factorial Validity

Construct validity was established by Jackson and Eklund (2002) across multiple independent samples of physical activity participants ($N = 1,073$). Confirmatory factor analyses demonstrated that the 36 items of the FSS-2 reliably map onto the hypothesized nine first-order factors. Structural goodness-of-fit parameters exceeded conventional psychometric standards:

• Comparative Fit Index (CFI): .92 to .94 across calibration and cross-validation cohorts.
• Non-Normed Fit Index (NNFI / TLI): .91 to .93.
• Root Mean Square Error of Approximation (RMSEA): Values consistently fell below the recommended .05 to .06 threshold (typically .045 to .052, 90% CI [.042, .056]), indicating close model fit.
• Standardized Root Mean Square Residual (SRMR): Observed values consistently ranged between .040 and .051.

Furthermore, Jackson and Eklund evaluated a higher-order hierarchical model wherein a single, overarching second-order “Global Flow” factor explains the correlations among the nine first-order factors. The hierarchical model exhibited adequate fit (CFI ≈ .90; RMSEA ≈ .058), confirming that practitioners can validly interpret both the individual nine subscales and a single, aggregate global flow state score.

Convergent and Discriminant Validity

Convergent validity has been repeatedly demonstrated through significant, theoretically coherent correlations with related psychological constructs. Subscales of the FSS-2 correlate positively with measures of intrinsic motivation on the Sport Motivation Scale ($r = .45$ to $.68$, $p < .001$), athletic self-efficacy ($r = .40$ to $.62$), task orientation ($r = .35$ to $.52$), and perceived athletic competence. Conversely, discriminant validity is evidenced by moderate to strong negative correlations with competitive state anxiety, measured via the Competitive State Anxiety Inventory-2 (CSAI-2); specifically, cognitive anxiety ($r = -.38$ to $-.54$) and somatic anxiety ($r = -.30$ to $-.46$) demonstrate negative associations with FSS-2 factors such as Sense of Control and Challenge-Skill Balance.

Predictive and Criterion Validity

Studies evaluating predictive validity reveal that elevated FSS-2 global scores and high scores on Challenge-Skill Balance, Clear Goals, and Sense of Control significantly predict objective athletic performance metrics (e.g., race completion times, shooting accuracy, golf putting accuracy) and subjective performance satisfaction. Additionally, research by Tenenbaum et al. and Martin & Jackson (2008) verified that the FSS-2 successfully differentiates athletes competing in high-flow personal best performances from those experiencing sub-optimal, high-stress competitive outcomes.

8. Reliability

The Flow State Scale–2 exhibits strong internal consistency across diverse athletic and movement populations, satisfying classical test theory benchmarks for reliable measurement.

Internal Consistency

In the original validation study by Jackson and Eklund (2002), the internal consistency of the nine FSS-2 subscales was evaluated using Cronbach’s alpha (α). All nine subscales demonstrated high reliability coefficients, with no subscale falling below the acceptable threshold of .70:

• Challenge-Skill Balance: α = .82 to .86
• Action-Awareness Merging: α = .84 to .88
• Clear Goals: α = .83 to .87
• Unambiguous Feedback: α = .84 to .88
• Concentration on Task at Hand: α = .82 to .86
• Sense of Control: α = .82 to .87
• Loss of Self-Consciousness: α = .81 to .86
• Transformation of Time: α = .78 to .83
• Autotelic Experience: α = .81 to .85
• Overall Total Scale / Composite Reliability: α = .92 to .95

Subsequent independent cross-validation investigations across various sport disciplines (e.g., swimming, track and field, rowing, tennis) and cultural adaptations (e.g., Greek, Spanish, French, Japanese, and Portuguese translations) have replicated these internal consistency metrics, reporting composite alpha levels consistently exceeding .90 and subscale alphas ranging primarily between .80 and .90.

Test-Retest Stability in a State Metric

Because the FSS-2 is intentionally designed as a state instrument that captures transitory experiential states during a specific activity, classical test-retest reliability across long time intervals is neither expected nor theoretically appropriate; flow is inherently volatile and sensitive to immediate contextual variations. However, when athletes were assessed under invariant, highly structured training conditions separated by short intervals (e.g., identical treadmill running protocols administered 48 hours apart), intraclass correlation coefficients (ICCs) ranged from .72 to .81, demonstrating adequate temporal reproducibility when environmental and somatic conditions are systematically held constant.

9. Factor Analysis

The factorial architecture of the FSS-2 was refined using both exploratory structural equation modeling and rigorous confirmatory factor analysis (CFA) to address psychometric limitations identified in the original Flow State Scale (FSS-1).

Transition from FSS-1 to FSS-2

In the original 1996 instrument, several items exhibited elevated cross-loadings, marginal factor loadings (< .50), and ambiguous wording—particularly within the Transformation of Time and Loss of Self-Consciousness subscales. Jackson and Eklund (2002) systematically re-engineered the item pool, drafting replacement items and subjecting them to CFA validation across large cohorts ($N > 1,000$). The resulting FSS-2 retained the pristine nine-factor structure while achieving substantially improved factorial clarity and parameter estimates.

First-Order Confirmatory Factor Structure

In the definitive first-order model tested by Jackson and Eklund (2002):

• All 36 items load significantly and exclusively onto their designated primary latent factors ($p < .001$).
• Completely standardized factor loadings for all individual items range from .68 to .88, well above the conventional cut-off criterion of .40.
• Standard errors for factor loadings remain uniformly low (ranging from .03 to .06), indicating high estimation precision.
• Inter-factor correlations among the nine latent dimensions are positive and moderate to high (ranging from $r = .32$ to $r = .74$). The highest inter-factor correlations typically occur between Sense of Control, Challenge-Skill Balance, and Action-Awareness Merging, consistent with flow theory. Importantly, no factor inter-correlation approaches 1.0, confirming that the nine dimensions maintain distinct empirical identities.

Second-Order Hierarchical Model

Jackson and Eklund examined whether a higher-order latent construct, representing general “Flow State,” accounted for the observed covariances among the nine first-order dimensions. The second-order CFA yielded respectable fit indices:

• $\chi^2 / df$ ratio < 2.50
• CFI = .91
• NNFI / TLI = .90
• RMSEA = .053 (90% CI [.049, .057])

All nine first-order factors demonstrated statistically significant loadings onto the higher-order Global Flow construct, with loadings generally exceeding .60. Autotelic Experience, Sense of Control, and Concentration on Task at Hand typically display the highest second-order loadings (.75 to .85), while Transformation of Time consistently exhibits the lowest second-order loading (.35 to .48). This finding suggests that although temporal distortion is a recognizable component of flow, it operates somewhat more independently than the core attentional and agentic dimensions.

10. Instrument / Measurement Tool

The structural characteristics, administrative protocols, and scoring algorithms of the Flow State Scale–2 are summarized below:

• Instrument Designation: Flow State Scale–2 (FSS-2).
• Target Population: Adolescents and adults (ages 14 and older) participating in competitive sports, physical recreation, dance, physical education, exercise, or structured performance activities. (A youth-adapted version, the Flow State Scale for Children, exists for younger cohorts).
• Administration Modality: Paper-and-pencil self-report or computer-administered digital assessment.
• Time Required for Completion: Approximately 5 to 8 minutes.
• Administration Window: Administered as soon as practically possible following the completion of the target physical activity (recommended within 30 to 60 minutes post-event) to minimize memory decay and post-hoc rationalization.
• Total Item Count: 36 items.
• Subscale Architecture: Nine distinct subscales containing exactly 4 items each:
• Challenge-Skill Balance (Items 1, 10, 19, 28)
• Action-Awareness Merging (Items 2, 11, 20, 29)
• Clear Goals (Items 3, 12, 21, 30)
• Unambiguous Feedback (Items 4, 13, 22, 31)
• Concentration on Task at Hand (Items 5, 14, 23, 32)
• Sense of Control (Items 6, 15, 24, 33)
• Loss of Self-Consciousness (Items 7, 16, 25, 34)
• Transformation of Time (Items 8, 17, 26, 35)
• Autotelic Experience (Items 9, 18, 27, 36)
• Response Scale: 5-point Likert scale:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Neither Agree nor Disagree
  • 4 = Agree
  • 5 = Strongly Agree
• Scoring and Computational Procedures:
  • Subscale Scores: Calculated by summing the ratings of the four items comprising each subscale and dividing by 4, producing a mean subscale score ranging from 1.00 to 5.00. Alternatively, raw subscale sums (ranging from 4 to 20) can be calculated.
  • Global Flow State Score: Calculated by summing all 36 items and dividing by 36 (or summing the nine mean subscale scores and dividing by 9), producing an overall composite score ranging from 1.00 to 5.00.
  • Reverse-Scored Items: None. All items are positively keyed toward the experience of flow.
• Normative Interpretation: Mean subscale or global scores ≥ 4.00 reflect elevated flow state experiences; scores around 3.00 denote moderate, ambivalent, or intermittent flow; and scores ≤ 2.00 signify an absence of flow, commonly accompanied by distraction, anxiety, or apathy.

11. Permissions & Fee and Test Year

• Year of Initial Publication: The Flow State Scale–2 was officially published in 2002 by Susan A. Jackson and Robert C. Eklund in the Journal of Sport & Exercise Psychology, replacing the original 1996 instrument.
• Copyright Ownership: The Flow Scales—including the Flow State Scale–2 (FSS-2), Dispositional Flow Scale–2 (DFS-2), and their respective short-form variants—are proprietary, copyrighted instruments authored by Dr. Susan A. Jackson.
• Licensing and Distribution: Commercial licensing, research permissions, and test administration manuals are managed and distributed through Mind Garden, Inc., an established psychometric publishing house.
• Fee Structure:
  • Academic Research / Student Use: Mind Garden provides discounted licensing packages for graduate students and non-funded academic researchers. Licensing options include per-administration digital reproduction licenses, online data collection via Transform, or PDF specimen sets.
  • Commercial / Professional Consulting: Commercial organizations, corporate consultants, and professional sports entities are subject to standard commercial per-use royalty fees.
  • Access Protocol: The complete verbatim item inventory, manual, and scoring key cannot be freely reproduced, shared publicly, or uploaded to open-access repositories without formal licensing authorization from Mind Garden, Inc.

12. References

• Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: Experiencing flow in work and play. Jossey-Bass.
• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.
• Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
• Dietrich, A. (2004). Neurocognitive mechanisms underlying the experience of flow. Consciousness and Cognition, 13(4), 746–761. https://doi.org/10.1016/j.concog.2004.07.002
• Jackson, S. A., & Eklund, R. C. (2002). Assessing flow in physical activity: The Flow State Scale-2 and Dispositional Flow Scale-2. Journal of Sport & Exercise Psychology, 24(2), 133–150. https://doi.org/10.1123/jsep.24.2.133
• Jackson, S. A., & Marsh, H. W. (1996). Development and validation of a scale to measure optimal experience: The Flow State Scale. Journal of Sport & Exercise Psychology, 18(1), 17–35. https://doi.org/10.1123/jsep.18.1.17
• Jackson, S. A., Martin, A. J., & Eklund, R. C. (2008). Long and short measures of flow, the DFS-2 and FSS-2: Item bank and scoring guidelines. Mind Garden, Inc.
• Marsh, H. W., & Jackson, S. A. (1999). Flow experience in sport: Construct validation of multidimensional, hierarchical state and trait responses. Structural Equation Modeling, 6(4), 343–371. https://doi.org/10.1080/10705519909540140
• Martin, A. J., & Jackson, S. A. (2008). Brief approaches to assessing task absorption and enjoyment in sports: An examination of the Short and Core Flow Scales. Journal of Sport & Exercise Psychology, 30(3), 323–345. https://doi.org/10.1123/jsep.30.3.323
• Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4

13. Items of the Scale