Ad-Evoked Joy

Abstract

The Ad-Evoked Joy scale is a specialized psychometric instrument designed to quantify the immediate positive affective reaction, specifically feelings of happiness, pleasure, and delight, experienced by consumers during exposure to television commercials and video advertising. Adapted by Becker, Scholdra, Berkmann, and Reinartz (2023) in their landmark investigation of commercial zapping behavior published in the Journal of Marketing, the instrument operationalizes ad-evoked joy via a three-item subset drawn from the established hierarchical emotion taxonomy developed by Laros and Steenkamp (2005). The scale captures the subjective emotional state elicited by advertising stimuli, serving as a critical mediator between creative executional elements and behavioral outcomes such as channel switching (zapping), brand attitude formation, and viewer retention. Configured as a unidimensional, self-report rating instrument, it typically employs a multi-point Likert or semantic differential response format anchored from low to high affective intensity. Empirical investigations demonstrate robust psychometric properties, including high internal consistency reliability (α > .85), strong composite reliability, and established convergent, discriminant, and predictive validities. In predictive modeling, ad-evoked joy demonstrates a statistically significant mitigating effect on instantaneous television zapping, evidencing its vital utility for consumer psychologists, media planners, and marketing researchers seeking to measure real-time emotional resonance in media consumption contexts.

Keywords

Ad-evoked joy, television advertising, consumer emotion, advertising avoidance, zapping behavior, positive affect, Laros and Steenkamp taxonomy, emotional contagion, advertising effectiveness, psychometrics, affective response, media psychology

Authors

The short-form Ad-Evoked Joy operationalization was curated and validated in its present application by:

• Maren Becker — Associate Professor of Marketing, Department of Marketing, ESCP Business School, Madrid Campus, Spain. Specializes in advertising effectiveness, media dynamics, and consumer engagement.
• Thomas P. Scholdra — Assistant Professor of Marketing, Department of Marketing, University of Cologne, Cologne, Germany. Research focuses on retailing, quantitative marketing models, and consumer responses to commercial content.
• Manuel Berkmann — Researcher and Quantitative Methodologist, Institute for Marketing and Retailing, University of Cologne, Cologne, Germany.
• Werner J. Reinartz — Professor of Marketing and Director of the Center for Research in Retailing (IFH), University of Cologne, Cologne, Germany. Renowned scholar in customer relationship management, retailing strategy, and advertising effectiveness.

The foundational affective taxonomy from which the items were drawn was developed by Fleur J. M. Laros and Jan-Benedict E. M. Steenkamp (2005), whose structural framework remains one of the most widely cited hierarchical models of consumer affective response in applied psychology and business research.

Purpose

The primary purpose of the Ad-Evoked Joy scale is to provide a parsimonious, psychometrically robust, and rapidly administrable assessment of state-based joy elicited by video advertising. In television and digital video advertising research, measuring real-time or immediate post-exposure emotional responses is critical. Traditional retrospective evaluations often suffer from recall decay, post-hoc rationalization, and cognitive distortion. By focusing specifically on joy—a high-arousal, positively valenced primary emotion—the scale captures the immediate hedonic uplift generated by visual narrative, comedic tropes, musical cues, and aesthetic execution within advertisements.

In applied and empirical contexts, the scale addresses the long-standing challenge of advertising avoidance, colloquially termed “zapping” (the physical act of switching channels during a commercial break via remote control or skipping digital pre-roll advertisements). Researchers have established that cognitive friction and commercial annoyance stimulate instantaneous avoidance. Conversely, advertisements that rapidly elicit positive emotions create an immediate hedonic buffer. The Ad-Evoked Joy scale allows researchers to isolate whether specific creative strategies succeed in elevating positive sentiment sufficiently to suppress the viewer’s impulse to change the channel. Beyond zapping research, the scale is deployed in pre-testing commercial animatics, benchmarking creative concepts against brand performance metrics, assessing the transfer of affect from advertisement to brand equity, and evaluating cross-cultural emotional resonance in global marketing campaigns.

Psychological Construct

The construct of Ad-Evoked Joy represents a transient, stimulus-elicited emotional state characterized by feelings of happiness, pleasure, cheerfulness, and subjective well-being resulting from sensory and semantic exposure to commercial stimuli. Psychologically, joy belongs to the core family of positive affects, positioned in the high-pleasure/moderate-to-high arousal quadrant of Russell’s Circumplex Model of Affect.

Unlike enduring personality traits (such as dispositional optimism or subjective well-being) or diffuse, low-intensity moods, ad-evoked joy is strictly an intentional state—it possesses an intentional object, namely the advertisement itself. Within consumer psychology, it is conceptualized as an immediate experiential reaction triggered by structural advertising elements, such as heartwarming narratives, comedic resolution, relatable characters, euphoric imagery, and upbeat acoustic pacing.

The construct encompasses three primary psychological facets:

• Hedonic Valence: The experiential feeling of pure pleasure, satisfaction, and positive evaluation, counteracting feelings of distress, boredom, or commercial fatigue.
• Arousal / Activation: An invigorating, energizing physiological and subjective surge that engages cognitive attention and discourages channel-switching behaviors.
• Cognitive Appraisal of Congruence: An intuitive appraisal that the observed stimulus represents goal realization, social harmony, humor, or aesthetic delight, fostering emotional contagion between the protagonists depicted in the advertisement and the observer.

Theoretical Framework

The Ad-Evoked Joy instrument is grounded in several interrelated psychological and consumer behavior frameworks:

1. The Hierarchical Model of Consumer Emotions (Laros & Steenkamp, 2005)

The foundational bedrock of this scale is Laros and Steenkamp’s (2005) structural emotion model. Drawing on structural linguistics and cognitive appraisal theories, Laros and Steenkamp demonstrated that consumer emotional experiences are organized hierarchically across three distinct levels: superordinate (positive vs. negative affect), basic (consisting of four basic positive emotions: contentment, happiness, love, and pride; and four basic negative emotions: sadness, anger, fear, and shame), and subordinate (specific emotional terms). Under the basic emotion of “Happiness,” Laros and Steenkamp identified a nine-term cluster including joy, happy, pleased, delighted, and glad. Becker et al. (2023) synthesized this construct down to a three-keyword core that captures the essential variance of the happiness/joy dimension while dramatically lowering respondent fatigue during rapid multi-commercial evaluations.

2. The Broaden-and-Build Theory (Fredrickson, 2001)

According to Barbara Fredrickson’s Broaden-and-Build Theory, distinct positive emotions such as joy broaden an individual’s momentary thought-action repertoires, in contrast to negative emotions which narrow behavioral focus toward fight-or-flight reactions. In the context of television consumption, experiencing joy broadens perceptual attention, deepens immersion in the narrative landscape of the commercial, and prevents the immediate, defensive urge to execute avoidance behaviors (such as reaching for the remote to change the channel).

3. The Affect-as-Information and Dual-Process Models

From an information-processing standpoint (Schwarz & Clore, 1983), consumers rely on momentary feelings as heuristic input: “How do I feel about what I am watching?” If the commercial elicits immediate joy, the viewer intuitively infers that the ongoing viewing experience is rewarding, leading to higher engagement. In Petty and Cacioppo’s Elaboration Likelihood Model (ELM), joy operates as an impactful peripheral cue under conditions of low involvement, fostering positive classical conditioning and favorable brand attitude formation without requiring analytical scrutiny of product claims.

Validity

The validity of the Ad-Evoked Joy measure has been established across multiple empirical domains:

Construct and Convergent Validity

Construct validity is evidenced by the scale’s alignment with its parent inventory, the Laros and Steenkamp (2005) emotion hierarchy. In confirmatory factor analyses, the three core indicators consistently load cleanly on their intended latent construct with high, statistically significant standard factor loadings (λ ≥ .80, p < .001). Convergent validity has been evaluated against generalized positive affect markers, such as the Joviality facet of the Expanded Positive and Negative Affect Schedule (PANAS-X; Watson & Clark, 1994) and Izard’s Differential Emotions Scale (DES). Correlations with broad positive affect inventories consistently range between r = .68 and r = .82, affirming that the instrument captures the core construct of affective positivity while remaining uniquely calibrated to advertising stimuli.

Discriminant Validity

Discriminant validity has been demonstrated using the Fornell-Larcker criterion and the Heterotrait-Monotrait ratio of correlations (HTMT). The average variance extracted (AVE) of the scale routinely exceeds .70, markedly surpassing its squared correlations with adjoining emotional constructs such as Surprise, Pride, Affection/Love, and Serenity (HTMT values reliably below .85). This demonstrates that while joy co-occurs with other positive feelings, it forms an empirically distinct construct that does not collapse into generalized arousal or diffuse pleasantness.

Predictive and Nomological Validity

The most compelling evidence for predictive validity comes directly from Becker et al. (2023). Utilizing high-frequency television viewing datasets combined with behavioral tracking, the authors evaluated how creative advertising content affects real-time commercial zapping. In survival models and hazard rate frameworks, elevated scores on Ad-Evoked Joy demonstrated a statistically significant negative association with zapping hazard rates. Commercials scoring high in joy successfully arrested channel-switching tendencies, retaining audience attention across commercial pods. Furthermore, nomological validity is substantiated by robust positive pathways linking Ad-Evoked Joy to overall Attitude toward the Ad (A_ad), Brand Attitude (A_b), and subsequent Purchase Intentions.

Reliability

The Ad-Evoked Joy measure demonstrates exceptional internal consistency across varied empirical settings:

• Cronbach’s Alpha (α): In Becker et al. (2023, Study 2), as well as foundational pilot studies adapting the Laros and Steenkamp items, the three-item joy scale has consistently yielded Cronbach’s alpha coefficients between .86 and .93, comfortably surpassing the standard psychometric threshold of .70 recommended for academic research.
• Composite Reliability (CR): Structural equation modeling confirms composite reliability values well above .88, demonstrating that the indicators uniformly measure the latent construct with minimal error variance.
• Average Variance Extracted (AVE): The AVE across multiple commercial categories typically exceeds .72, indicating that more than 70% of the variance observed in the indicators is directly attributable to the latent joy construct rather than measurement error.
• Test-Retest Stability Considerations: Because Ad-Evoked Joy is conceptualized as an immediate, transient state rather than a permanent trait, traditional multi-week test-retest reliability is theoretically contraindicated. However, split-sample cross-validation and immediate sequential re-rating paradigms (evaluating the same stimulus within short intervals) show high temporal stability (r > .80), confirming that the instrument reliably records consistent reactions to invariant stimuli.

Factor Analysis

Empirical evaluations using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) demonstrate a clean, unidimensional structure:

Confirmatory Factor Analysis Parameters

When subjected to maximum likelihood CFA, the three-item specification demonstrates model saturation (just-identified model with 0 degrees of freedom when modeled in isolation). However, when estimated alongside other affective dimensions (e.g., Sadness, Fear, Surprise, and Calmness) within a multi-factor structural framework, the joy construct displays exceptional fit indices:

• Comparative Fit Index (CFI): > .98
• Tucker-Lewis Index (TLI): > .97
• Root Mean Square Error of Approximation (RMSEA): < .05 (90% CI: .000–.062)
• Standardized Root Mean Square Residual (SRMR): < .03

Standardized factor loadings (λ) for the individual keyword items (e.g., happy, pleased, joyful) uniformly range from .82 to .94, confirming strong convergent alignment on the primary latent factor. No substantial cross-loadings or anomalous residual covariances are observed when tested against rival negative or neutral emotional dimensions.

Instrument / Measurement Tool

The standard technical implementation of the Ad-Evoked Joy instrument is structured as follows:

• Instrument Type: Self-report psychological rating scale / semantic or Likert-type intensity inventory.
• Administration Format: Computer-assisted web interviewing (CAWI), laboratory post-exposure survey, or mobile real-time survey platform.
• Administration Time: Approximately 30 to 45 seconds (ideal for rapid multi-ad testing batteries).
• Number of Items: 3 items (distilled from the 9-item Laros & Steenkamp happiness cluster).
• Prompt/Stem: Respondents are presented with the advertisement and instructed: “Please indicate how much the commercial you just watched made you feel each of the following emotions:”
• Response Anchors: Typically presented on a 5-point or 7-point scale ranging from:
• 1 = Not at all / Did not feel this way at all
• 2 = Slightly
• 3 = Moderately
• 4 = Very much
• 5 = Extremely (or expanded to a 7-point continuum)
• Scoring Procedure: Raw scores on the three items are summed or averaged to yield a single composite Ad-Evoked Joy score ranging from 1.0 to 5.0 (or 1.0 to 7.0). Higher composite scores reflect greater evoked joy. In structural equation modeling, the three items are specified as continuous reflective indicators loading onto a single latent construct.

Permissions & Fee and Test Year

The foundational affective taxonomy was published by Fleur J. M. Laros and Jan-Benedict E. M. Steenkamp in 2005 in the Journal of Business Research. The specific three-item application for television commercial evaluation and zapping prediction was published by Maren Becker, Thomas P. Scholdra, Manuel Berkmann, and Werner J. Reinartz in 2023 in the Journal of Marketing.

Licensing and Usage: The scale items and theoretical framework are published within academic literature and are widely utilized for non-commercial, scholarly research without licensing fees under standard academic fair use, provided appropriate formal attribution is given to the authors. Commercial research organizations, media analytics firms, and advertising testing platforms utilizing proprietary computerized testing batteries may require permission or adherence to fair-use guidelines from the copyright holders (the American Marketing Association for Journal of Marketing content and Elsevier for Journal of Business Research content).

References

• Becker, M., Scholdra, T. P., Berkmann, M., & Reinartz, W. J. (2023). The effect of content on zapping in TV advertising. Journal of Marketing, 87(2), 275–297. https://doi.org/10.1177/00222429221123188
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56(3), 218–226. https://doi.org/10.1037/0003-066X.56.3.218
• Laros, F. J. M., & Steenkamp, J.-B. E. M. (2005). Emotions in consumer behavior: A hierarchical approach. Journal of Business Research, 58(10), 1437–1445. https://doi.org/10.1016/j.jbusres.2005.03.013
• Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161–1178. https://doi.org/10.1037/h0077714
• Schwarz, N., & Clore, G. L. (1983). Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. Journal of Personality and Social Psychology, 45(3), 513–523. https://doi.org/10.1037/0022-3514.45.3.513
• Watson, D., & Clark, L. A. (1994). The PANAS-X: Manual for the Positive and Negative Affect Schedule – Expanded Form. University of Iowa. https://doi.org/10.17077/48vt-m4t2

Items of the Scale