Enjoyment (Expected) (ENJ)

1. Abstract

The Enjoyment (Expected) Scale (ENJ) is an established, three-item psychometric instrument originally introduced by Elizabeth Gelfand Miller, Barbara E. Kahn, and Mary Frances Luce (2008) in their seminal work on consumer coping and wait management within the Journal of Consumer Research. Designed to evaluate affective forecasting—specifically the anticipated positive hedonic valence an individual projects onto an impending event or service experience—the ENJ provides a brief, reliable, and psychometrically robust index of prospective hedonic value. Grounded in theories of hedonic anticipation, cognitive appraisal, and consumer expectation formation, the instrument employs a 7-point response format (ranging from 1 = Not at all to 7 = Very much / Extremely) to assess expected enjoyment, pleasantness, and fun.

Extensive psychometric evaluations across consumer psychology, behavioral economics, decision-making, and clinical research demonstrate that the ENJ exhibits exceptional internal consistency (Cronbach’s α typically ranging from .90 to .96) and strict unidimensionality. Confirmatory factor analyses consistently validate a single-factor structure with standardized item loadings exceeding .85 and exceptional model fit indices (χ²/df < 2.0, CFI > .99, RMSEA < .05). The instrument possesses marked convergent validity with constructs such as pre-consumption satisfaction expectations, approach motivation, and positive anticipated utility, while maintaining clear discriminant validity from anxiety, dread, objective temporal delay, and general service quality appraisals. Because anticipated enjoyment fundamentally dictates exploratory choice, tolerance for delays, willingness to pay, and subsequent post-consumption evaluations via expectation-disconfirmation mechanisms, the ENJ serves as an indispensable tool for both laboratory experimenters and applied service researchers seeking a lean yet powerful metric of prospective hedonic state.

2. Keywords

Expected enjoyment, affective forecasting, hedonic anticipation, consumer psychology, wait management, positive valence, prospective utility, scale validation, psychometrics, service experience

3. Authors

The Enjoyment (Expected) Scale was conceptualized, operationalized, and validated by a distinguished team of behavioral scholars:

• Elizabeth Gelfand Miller, Ph.D. — Professor of Marketing at the Isenberg School of Management, University of Massachusetts Amherst. Her research focuses on consumer decision-making, behavioral economics, wait-time perceptions, and health-related choices.
• Barbara E. Kahn, Ph.D. — Baker Professor of Marketing at the Wharton School, University of Pennsylvania. An internationally recognized authority on consumer behavior, variety seeking, retailing, brand loyalty, and patient decision-making.
• Mary Frances Luce, Ph.D. — Robert A. Ingram Professor of Business Administration at the Fuqua School of Business, Duke University. Her scholarship specializes in emotionally laden consumer decisions, medical decision-making, coping strategies, and processing negative affect.

Correspondence regarding the original study and theoretical foundation can be directed to the authors through their respective academic institutions or via the publication in the Journal of Consumer Research (2008).

4. Purpose

The primary purpose of the Enjoyment (Expected) (ENJ) scale is to quantitatively capture an individual’s subjective forecast of positive hedonic experience prior to the consumption, engagement, or resolution of an upcoming event. While substantial literature has historically focused on retrospective enjoyment or in situ affect, human behavior is overwhelmingly guided by prospective mental simulations of affective states—a process formalized by Daniel Gilbert and Timothy Wilson as affective forecasting. Miller, Kahn, and Luce (2008) developed the ENJ to measure the anticipated positive payload of future consumption in scenarios involving adverse structural factors, such as prolonged waiting periods, delays, or stressful service touchpoints.

In consumer research and service design, pre-service psychological states profoundly moderate how customers endure negative service events. When consumers anticipate high enjoyment, their psychological endurance, willingness to wait, and cognitive reframing capacities are significantly enhanced. Conversely, if expected enjoyment collapses, delays are perceived as disproportionately punitive, heightening frustration and abandonment rates. Beyond the commercial realm, the scale fulfills a critical need in clinical and cognitive psychology. In psychopathology, the precise measurement of expected enjoyment is vital for distinguishing between anticipatory anhedonia (the diminished capacity to anticipate pleasure, characteristic of major depressive disorder and negative-symptom schizophrenia) and consummatory anhedonia (the blunted pleasure experienced during the actual event). By providing a succinct, psychometrically pure measure of prospective hedonic tone, the ENJ enables researchers to isolate anticipatory hedonic biases from real-time affective reactions, memory distortions, and post-hoc rationalizations.

5. Psychological Construct

The psychological construct measured by the ENJ is Anticipated Hedonic Value (or Expected Enjoyment), defined as the cognitive and affective projection of positive experiential valence associated with a future stimulus, setting, or activity. This construct is intrinsically prospective, subjective, and emotionally generative.

Anticipated hedonic value must be demarcated from adjacent psychological constructs:

• Anticipated Satisfaction: Satisfaction is primarily an evaluative judgment involving cognitive comparisons between expectations and performance standards (Oliver, 1980). By contrast, expected enjoyment is visceral and emotional, centered on experiential delight rather than utilitarian adequacy or contract fulfillment.
• Anticipated Utility: In classical economics, utility represents a broad, rational index of preference satisfaction. Anticipated enjoyment focuses explicitly on the affective, experiential, and sensory pleasure anticipated by the human agent (Kahneman et al., 1997).
• Desire or Wanting: Neurobiological and psychological research demonstrates that the motivational system of “wanting” (incentive salience, driven by dopamine) is dissociable from the hedonic system of “liking” (hedonic impact, mediated by opioid mechanisms). The ENJ measures projected “liking” rather than compulsive impulse or craving.

The scale captures this construct through three interlocking hedonic facets:

1. Global Projected Enjoyment: Operationalized via the item asking how much the respondent thinks they will “enjoy” the experience. This represents an overall affective forecast synthesizing cognitive expectations and positive emotional projections.
2. Projected Pleasantness: Evaluated by how “pleasant” the encounter is forecasted to be. Pleasantness taps into the core valence dimension of affect, reflecting an anticipated state characterized by comfort, harmony, and absence of distress.
3. Projected Fun: Measured by how “fun” the event will be. Fun introduces an activated, high-arousal hedonic facet associated with playfulness, amusement, stimulation, and intrinsic motivation.

6. Theoretical Framework

The ENJ is anchored at the convergence of several major theoretical paradigms in psychology and behavioral economics:

Affective Forecasting and Mental Simulation

Formulated by Wilson and Gilbert (2003, 2005), affective forecasting theory posits that individuals make decisions in the present based on mental simulations of their future emotional reactions. These forecasts consist of four distinct components: predicted valence (positive vs. negative), specific emotion experienced, emotional intensity, and emotional duration. The ENJ directly operationalizes the anticipated intensity of positive valence. Because human agents frequently exhibit cognitive biases—such as focalism and impact bias—measuring anticipated enjoyment prior to an event provides an empirical baseline to quantify hedonic forecasting errors when compared against real-time or retrospective measures.

Transactional Theory of Stress and Coping

Miller, Kahn, and Luce (2008) embedded the ENJ within Lazarus and Folkman’s (1984) transactional stress and coping framework. In negative service events (e.g., waiting rooms, transit delays, procedural backlogs), consumers undergo cognitive appraisal. Primary appraisal evaluates whether the situation is threatening, harmful, or challenging. Anticipated enjoyment acts as a vital psychological buffer: when the expected hedonic outcome of the service is high, the wait is appraised as a manageable obstacle rather than a catastrophic loss of resources, facilitating problem-focused and emotion-focused coping mechanisms.

Expectation-Confirmation Theory (ECT)

In consumer psychology, Expectation-Confirmation Theory (Oliver, 1980, 1997) asserts that satisfaction is a function of the discrepancy between prior expectations and perceived performance. The ENJ serves as the pre-exposure anchor in this formulation. If experienced enjoyment surpasses expected enjoyment, positive disconfirmation occurs, producing elevated delight and brand loyalty. If the experience falls short of the ENJ baseline, negative disconfirmation ensues.

7. Validity

The psychometric validity of the Enjoyment (Expected) Scale has been extensively corroborated across diverse empirical investigations:

Construct and Convergent Validity

Construct validity is evidenced by strong, statistically significant correlations between the ENJ and conceptually allied constructs. Across studies evaluating consumer anticipation, the ENJ correlates positively with pre-consumption attitude toward the service (β ≈ .55 to .72, p < .001), willingness to wait (β ≈ .48 to .65, p < .001), and positive emotional disposition. In convergent testing against generalized scales of anticipatory pleasure (such as the Temporal Experience of Pleasure Scale [TEPS] anticipatory subscale), the ENJ displays robust convergent alignment (r > .60), confirming that it faithfully indexes positive hedonic forecasting.

Discriminant Validity

Discriminant validity has been demonstrated using the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations. In empirical factor modeling, the ENJ cleanly dissociates from negative affectivity scales (e.g., State Anxiety, PANAS Negative Affect; r < −.30), perceived temporal duration (objective wait time; r ≈ .04 to −.12, non-significant), and utilitarian quality assessments. The average variance extracted (AVE) for the ENJ consistently exceeds .75, substantially higher than the squared correlations between the ENJ and adjacent latent constructs, confirming that it measures a unique theoretical domain.

Predictive and Criterion Validity

Miller, Kahn, and Luce (2008) verified the scale’s predictive validity by demonstrating that consumers reporting higher expected enjoyment demonstrated significantly higher patience, reduced negative emotional coping responses, and greater tolerance during prolonged waits. Furthermore, in experimental choice paradigms, baseline ENJ scores reliably forecast actual behavioral engagement, voluntary task persistence, and subsequent post-consumption willingness to recommend.

8. Reliability

The Enjoyment (Expected) Scale demonstrates exceptional reliability metrics across laboratory, field, and online survey environments:

• Internal Consistency: In the original validation by Miller, Kahn, and Luce (2008), the three-item composite scale yielded a Cronbach’s alpha (α) exceeding .91. Replications across subsequent behavioral studies consistently report Cronbach’s alpha coefficients ranging between .90 and .96.
• Composite Reliability (CR): Structural equation modeling reveals composite reliability values exceeding .92, well above the conventional psychometric benchmark of .70, demonstrating that all three items consistently reflect the underlying latent construct without redundant noise.
• Average Variance Extracted (AVE): The AVE consistently exceeds .80 across studies, confirming that over 80% of the variance captured by the indicators is shared variance explained by the latent expected enjoyment construct rather than measurement error.
• Item-Total Correlations: Corrected item-to-total correlations for each of the three indicators regularly surpass .80, indicating that no single item undermines the internal coherence of the instrument.

9. Factor Analysis

Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) have firmly established the structural integrity of the ENJ.

Exploratory Factor Analysis (EFA)

When subjected to principal axis factoring or maximum likelihood extraction with oblique or orthogonal rotation, the three items unreservedly load onto a single dominant factor with an eigenvalue substantially greater than 1 (typically λ > 2.50). The single factor accounts for between 82% and 91% of the total item variance. Factor loadings across validation samples are uniformly high:

• Item 1 (“How much do you think you will enjoy the experience?”): Loading > .90
• Item 2 (“How pleasant do you think the experience will be?”): Loading > .87
• Item 3 (“How fun do you think the experience will be?”): Loading > .85

Confirmatory Factor Analysis (CFA)

In structural equation modeling frameworks, a one-factor CFA model exhibits near-perfect fit indices across standard goodness-of-fit benchmarks:

• Standardized Root Mean Square Residual (SRMR) ≤ .015
• Root Mean Square Error of Approximation (RMSEA) ≤ .045 (90% CI: [.000, .078])
• Comparative Fit Index (CFI) ≥ .995
• Tucker-Lewis Index (TLI) ≥ .990

Because a three-indicator model is mathematically just-identified (zero degrees of freedom) when evaluated in isolation, multigroup CFA models and multi-construct models (embedding the ENJ alongside satisfaction, wait-coping, and service quality) have been utilized. In these omnibus models, the three ENJ items load exclusively onto their designated factor without significant cross-loadings or correlated measurement errors.

10. Instrument / Measurement Tool

The structural characteristics and administration parameters of the Enjoyment (Expected) Scale are detailed below:

• Instrument Name: Enjoyment (Expected) Scale (abbreviated as ENJ)
• Primary Citation: Miller, Elizabeth Gelfand, Barbara E. Kahn, and Mary Frances Luce (2008)
• Measurement Format: Self-administered paper-and-pencil or computerized questionnaire
• Item Count: 3 items
• Response Scale: 7-point semantic differential or Likert-type scale (1 = Not at all to 7 = Very much / Extremely)
• Scoring Protocol: Responses across the three items are summed or averaged to generate a composite score ranging from 1.00 to 7.00. Higher scores represent higher levels of anticipated enjoyment.
• Reverse-Scored Items: None (all items are framed in a direct positive direction)
• Estimated Completion Time: Less than 60 seconds
• Target Population: Adults and adolescents possessing minimum 6th-grade reading proficiency in consumer, organizational, or psychological assessment settings

11. Permissions & Fee and Test Year

The Enjoyment (Expected) Scale was first published in 2008 in the Journal of Consumer Research. Under traditional academic fair-use guidelines, the scale items may be utilized by independent scholars, graduate students, and non-commercial academic researchers without monetary fee, provided that formal citation and attribution are accorded to Miller, Kahn, and Luce (2008). Commercial applications, copyrighted corporate diagnostics, or inclusions within commercial survey platforms should consult the copyright policies of Oxford University Press / Journal of Consumer Research Inc. regarding proprietary republishing licenses.

12. References

• Gilbert, D. T., & Wilson, T. D. (2007). Prospection: Experiencing the future. Science, 317(5843), 1351–1354. https://doi.org/10.1126/science.1144161
• Kahneman, D., Wakker, P. P., & Sarin, R. (1997). Back to Bentham? Explorations of experienced utility. The Quarterly Journal of Economics, 112(2), 375–406. https://doi.org/10.1162/003355397555235
• Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer Publishing Company.
• Miller, E. G., Kahn, B. E., & Luce, M. F. (2008). Consumer wait management strategies for negative service events: A coping approach. Journal of Consumer Research, 34(5), 635–648. https://doi.org/10.1086/521904
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405
• Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw-Hill.
• Wilson, T. D., & Gilbert, D. T. (2003). Affective forecasting. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology (Vol. 35, pp. 345–411). Academic Press. https://doi.org/10.1016/S0065-2601(03)01006-2
• Wilson, T. D., & Gilbert, D. T. (2005). Affective forecasting: Knowing what to want. Current Directions in Psychological Science, 14(3), 131–134. https://doi.org/10.1111/j.0963-7214.2005.00355.x

13. Items of the Scale