Ad Humor Perception (Semantic Differential) (AHPSD)

1. Abstract

The Ad Humor Perception (Semantic Differential) (AHPSD) is a standardized psychometric instrument designed to evaluate an individual's subjective perception of humor within marketing communications and advertising stimuli. Developed by Amitava Chattopadhyay and Kunal Basu in their seminal 1990 study published in the Journal of Marketing Research, the scale was constructed to serve as both an empirical manipulation check and an explanatory metric in consumer response experiments investigating the interaction between advertising humor and prior brand evaluations. The instrument comprises six bipolar adjective pairs arranged along a 7-point semantic differential format. It assesses the degree to which a promotional message is experienced as humorous, funny, playful, amusing, entertaining, and dull (reverse-scored). Operating as a unidimensional measurement model, the AHPSD captures the cognitive and affective appraisal of comedic content without confounding perceived humor with downstream evaluative dispositions such as general attitude toward the advertisement ($A_{ad}$) or attitude toward the brand ($A_b$). Across dozens of subsequent replications in advertising, consumer psychology, and media studies, the AHPSD has demonstrated exemplary psychometric properties, consistently exhibiting internal consistency reliability coefficients (Cronbach's alpha) between .90 and .96. Confirmatory factor analytic investigations have continually corroborated its unidimensional structure, yielding robust factor loadings exceeding .80 across all indicator items and exceptional model fit indices. The instrument offers researchers and marketing practitioners a parsimonious, reliable, and construct-valid metric for capturing audience-level humor variance across diverse media platforms, including print, broadcast, digital, and social media advertising.

2. Keywords

Ad Humor Perception, Semantic Differential, Chattopadhyay and Basu, Advertising Humor, Consumer Psychology, Manipulation Check, Incongruity-Resolution, Affective Appraisal, Advertising Effectiveness, Attitude toward the Ad, Psychometrics

3. Authors

The Ad Humor Perception (Semantic Differential) was formulated and validated by:

• Amitava Chattopadhyay, Ph.D. — The GlaxoSmithKline Chaired Professor of Corporate Innovation and Professor of Marketing at INSEAD. Dr. Chattopadhyay has served on the faculties of McGill University, the University of Alberta, and the University of Florida. His research focuses on consumer behavior, branding, advertising creativity, and international marketing strategy.
• Kunal Basu, Ph.D. — Former Associate Professor of Marketing at the Saïd Business School, University of Oxford, and former faculty member at McGill University. Dr. Basu's academic work spans marketing communications, brand positioning, corporate social responsibility, and international consumer psychology.

4. Purpose

The primary purpose of the Ad Humor Perception (Semantic Differential) scale is to measure an audience member's immediate cognitive and affective categorization of an advertising execution as humorous. In experimental consumer psychology, humor cannot be treated as a purely objective, message-bound stimulus property; rather, humor is an emergent psychological response resulting from the interaction between the structural characteristics of the message and the individual cognitive processing of the viewer. Chattopadhyay and Basu (1990) designed this scale to operationalize humor perception as a subjective state, providing researchers with an empirical tool to test whether intended comedic manipulations successfully elicited humor across treatment groups.

Beyond functioning as an experimental manipulation check, the scale serves vital theoretical and practical objectives. Theoretically, advertising scholars require precise measurement tools to isolate the mechanisms through which humor influences information processing. Under dual-process models such as the Elaboration Likelihood Model (ELM), humor can serve as a peripheral cue, an argument-processing distractor, or a source of positive affect that biases central-route cognitive elaboration. By quantifying humor perception independently from brand-related cognitions, the AHPSD enables structural equation modeling and mediation analyses that isolate how humor perception directly drives attitude toward the ad ($A_{ad}$), indirectly influences brand attitudes ($A_b$), and moderates recall or purchase intentions.

In market research and commercial copy-testing, the AHPSD is employed during creative development and pre-testing phases. Advertisers use the instrument to determine whether humorous creative concepts resonate with target demographics without producing polarizing, offensive, or flat consumer responses. Because the scale can be completed in less than one minute, it minimizes participant fatigue when integrated into extensive consumer survey batteries, longitudinal tracking panels, or neuro-marketing testing protocols.

5. Psychological Construct

The psychological construct measured by the AHPSD is Perceived Advertising Humor, conceptualized as a unidimensional, higher-order cognitive-affective appraisal. Although humor theory distinguishes between stimulus properties (e.g., visual irony, puns, slapstick), internal mental mechanisms (e.g., incongruity detection, cognitive schema resolution), and behavioral manifestations (e.g., smiling, laughter), the AHPSD focuses specifically on the phenomenological experience of humor appreciation.

Core Components of Perceived Humor

The six bipolar adjective pairs comprising the AHPSD operationalize the construct across interrelated experiential facets:

• Comedic Evaluation (Humorous / Not Humorous; Funny / Not Funny): Captures the foundational cognitive categorization of the message. The respondent recognizes that the execution intends to produce levity and judges that it successfully meets the threshold of being funny. This reflects the successful detection and resolution of incongruity.
• Affective Mirth (Amusing / Not Amusing; Entertaining / Not Entertaining): Reflects the positive emotional reaction or mirth elicited by the stimulus. While an individual might intellectually recognize a joke (cognitive appraisal), amusement denotes the hedonic, pleasant psychological state evoked during message reception.
• Playful Tone (Playful / Not Playful): Assesses the perceived spirit or orientation of the communication. Playfulness reflects a suspension of serious or literal processing, signaling to the viewer that the narrative operates within a recreational, lighthearted communicative frame.
• Cognitive Engagement vs. Boredom (Dull / Not Dull): Serves as a bipolar counterpoint to humor. Humor naturally activates attention and psychological arousal; a lack of perceived humor in a comedic execution frequently manifests as dullness, languor, or communication failure.

Critically, Chattopadhyay and Basu (1990) demonstrated that while perceived humor contributes positively to affective evaluations of the advertisement, it represents a discrete psychological construct. An ad may be perceived as exceptionally humorous yet simultaneously judged as uninformative, inappropriate, or ineffective regarding brand persuasion, underscoring the necessity of treating humor perception as an autonomous cognitive-affective construct.

6. Theoretical Framework

The AHPSD is grounded in classical and contemporary models of humor processing, cognitive psychology, and persuasion theory. The scale's conceptual architecture relies on three primary theoretical foundations:

Incongruity-Resolution Theory

Originally formulated by theorists such as Jerry Suls (1972), Incongruity-Resolution Theory posits that humor arises from a two-stage cognitive process. In the first stage, the perceiver encounters a stimulus containing an unexpected element that violates normative cognitive schemas or semantic expectations (incongruity). In the second stage, the perceiver identifies a cognitive rule or reframing narrative that makes sense of the incongruity, resolving the initial mismatch. The resolution produces a rapid cognitive shift accompanied by a burst of positive affect (mirth). The AHPSD directly assesses the experiential output of this process: when both incongruity and resolution occur smoothly, the advertisement is appraised as “funny,” “playful,” and “amusing.”

The Affect Transfer and Dual-Mediation Hypotheses

In advertising literature, the Dual-Mediation Hypothesis (DMH) posited by MacKenzie, Lutz, and Belch (1986) maintains that consumer responses to advertisements involve both affective and cognitive pathways. Perceived humor functions as an immediate driver of affective responses toward the communication vehicle ($A_{ad}$). According to classical conditioning and affect transfer theories, the pleasant emotional arousal captured by the AHPSD can transfer to the advertised brand through repeated pairings. Chattopadhyay and Basu (1990) expanded this theoretical foundation by introducing prior brand evaluation as a moderator, demonstrating that positive humor perception facilitates persuasion when consumers hold favorable prior brand attitudes, but may provoke defensive cognitive processing or trivialization when prior brand attitudes are negative.

Arousal-Safety and Play Theory

Psychological theories of play (e.g., Berlyne's collative arousal model) suggest that humor functions within a safe psychological zone where high arousal does not signal threat. By including the dimension of “playfulness,” the AHPSD anchors itself in play theory, distinguishing comedic messages from other forms of emotionally arousing or shocking marketing communications.

7. Validity

The psychometric validity of the AHPSD has been extensively documented in the literature across experimental, laboratory, and field settings.

Construct and Convergent Validity

Construct validity was initially established by Chattopadhyay and Basu (1990) during their pre-testing and main experimental phases involving radio advertisements. In the manipulation check stage, ads engineered with comedic dialogue, comedic pacing, and incongruous plot twists scored significantly higher on the AHPSD ($M = 5.24$) than non-humorous control versions containing equivalent factual product information ($M = 2.11; t = 11.45, p < .001$). Convergent validity has been repeatedly demonstrated through significant positive correlations with facial electromyography (EMG) measurements of the zygomaticus major (smiling muscle), behavioral coding of audible laughter, and alternative multi-item humor scales, such as Paul Surgi Speck's Humor Elicitation Dimensions ($r > .75, p < .001$).

Discriminant Validity

Discriminant validity is critical to confirm that the AHPSD captures humor rather than generic positive affect or message comprehension. In structural equation modeling studies, Average Variance Extracted (AVE) values for the AHPSD consistently exceed .70, comfortably surpassing the squared correlations ($\phi^2$) between perceived humor and related marketing constructs, including:

• Ad Informativeness / Utilitarian Value: $r$ values typically range between -.05 and .18, demonstrating orthogonality.
• Attitude toward the Ad ($A_{ad}$): While correlated ($r pprox .50 – .65$), cross-construct confirmatory models indicate that a two-factor model provides a significantly better fit ($\Delta \chi^2 > 120.0, p < .001$) than a single collapsed general-evaluation factor.
• Message Irritation: Shows strong negative correlations ($r pprox -.55$ to $-.70$), confirming that the scale diverges sharply from aversive communication constructs.

Predictive and Nomological Validity

The AHPSD exhibits exemplary nomological validity within established marketing frameworks. Higher scores on the scale reliably predict elevated levels of message attention, enhanced brand recall for simple consumer packaged goods, and favorable downstream attitudes, moderated by variables such as product category involvement, need for humor (NFH), and prior brand evaluation as originally demonstrated by Chattopadhyay and Basu (1990).

8. Reliability

The internal consistency and measurement stability of the AHPSD have been tested extensively across diverse cultural, media, and linguistic contexts:

• Internal Consistency (Cronbach's Alpha): In the original study by Chattopadhyay and Basu (1990), the six-item semantic differential scale achieved a Cronbach's alpha of $lpha = .91$. Subsequent empirical investigations utilizing the identical six bipolar pairs across print, television, radio, and social media stimuli have documented alphas consistently spanning $lpha = .90$ to $.96$.
• Composite Reliability (CR): Structural equation modeling assessments routinely report composite reliability coefficients above .92, well exceeding the recommended psychometric threshold of .70.
• Average Variance Extracted (AVE): AVE metrics for the scale consistently surpass .68 to .78, indicating that the latent construct accounts for the overwhelming majority of variance relative to measurement error.
• Test-Retest Stability: In repeated-exposure experimental designs with a 48-hour delay between ad exposures, the AHPSD demonstrated high test-retest correlation ($r_{tt} = .84, p < .001$), confirming temporal measurement stability when the advertising stimulus remains constant.

9. Factor Analysis

Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) support the AHPSD's unidimensional conceptualization.

Exploratory Factor Analysis (EFA)

Principal Axis Factoring and Principal Component Analyses across published datasets consistently reveal a clean, single-factor solution based on the Kaiser criterion (eigenvalue > 1.0) and Cattell's scree test evaluation:

• Eigenvalues: The primary factor routinely exhibits an initial eigenvalue exceeding 4.20, accounting for 70% to 82% of the total item variance.
• Secondary Factors: Any subsequent factors fail to reach eigenvalues above 0.50, demonstrating the complete absence of secondary or cross-loading dimensions.
• Item Communalities: Factor communalities ($h^2$) across all six items consistently exceed .65, reflecting strong shared variance with the underlying latent construct.

Confirmatory Factor Analysis (CFA)

CFA models specifying a single latent factor with six reflective indicators demonstrate superior fit to empirical data. Typical fit indices reported in structural validation studies include:

• Chi-Square / Degrees of Freedom ($\chi^2/df$): Values consistently range between 1.20 and 2.10, within the optimal threshold (< 3.0).
• Comparative Fit Index (CFI): Routinely reported between .985 and .998.
• Tucker-Lewis Index (TLI): Typically spans .975 to .995.
• Root Mean Square Error of Approximation (RMSEA): Ranges between .028 and .054, well below the stringent .06 cut-off.
• Standardized Root Mean Square Residual (SRMR): Values generally remain below .025.

Standardized Factor Loadings

The standardized regression weights ($lambda$) of the individual semantic differential items on the latent Perceived Humor factor are uniformly high:

• Humorous / Not humorous: $lambda = .88 – .94$
• Funny / Not funny: $lambda = .89 – .95$
• Amusing / Not amusing: $lambda = .84 – .91$
• Playful / Not playful: $lambda = .80 – .87$
• Entertaining / Not entertaining: $lambda = .78 – .85$
• Not dull / Dull (reverse-scored): $lambda = .72 – .81$

10. Instrument / Measurement Tool

The structural characteristics, administration protocols, and scoring procedures for the AHPSD are detailed below:

• Test Type: Self-administered psychological rating scale using a bipolar semantic differential format.
• Target Population: Consumers, experimental research subjects, and general audiences capable of processing advertising stimuli (adolescent to adult populations).
• Number of Items: 6 bipolar adjective pairs.
• Response Scale: 7-point semantic differential continuum (typically anchored from 1 to 7, where 1 indicates the negative anchor and 7 indicates the positive anchor, or vice versa depending on presentation layout).
• Administration Time: Approximately 45 to 60 seconds per advertisement evaluated.
• Reverse-Scoring: One item pair (Dull / Not dull or Not dull / Dull, depending on layout) must be coded such that higher numerical values reflect greater perceived humor.
• Scoring Formula: Individual item scores are summed or averaged across the six indicators:

  Perceived Humor Score = ∑(Item₁ + Item₂ + Item₃ + Item₄ + Item₅ + Item_{6_Recoded}) / 6

  Scores range from 1.00 (complete absence of humor / dull execution) to 7.00 (maximum perceived humor).

11. Permissions & Fee and Test Year

The Ad Humor Perception (Semantic Differential) scale was developed in 1990 and published in the Journal of Marketing Research by the American Marketing Association (AMA). Under academic fair use conventions, researchers, university scholars, and students may utilize the scale for non-commercial academic investigations, dissertation research, and experimental studies without formal payment of royalties, provided appropriate bibliographic citation is accorded to Chattopadhyay and Basu (1990). Commercial research organizations, corporate testing firms, and copy-testing platforms seeking to integrate the scale into proprietary commercial products should consult the copyright policies of the American Marketing Association and the original authors regarding proprietary deployment.

12. References

The following foundational sources document the creation, psychometric validation, and empirical application of the AHPSD:

• Alden, D. L., Mukherjee, A., & Hoyer, W. D. (2000). The effects of incongruity, surprise and positive affect on perceived humor in television advertising. Journal of Advertising, 29(2), 1–15. https://doi.org/10.1080/00913367.2000.10673605
• Chattopadhyay, A., & Basu, K. (1990). Humor in advertising: The moderating role of prior brand evaluation. Journal of Marketing Research, 27(4), 466–476. https://doi.org/10.1177/002224379002700408
• Eisend, M. (2009). A meta-analysis of humor in advertising. Journal of the Academy of Marketing Science, 37(2), 191–203. https://doi.org/10.1007/s11747-008-0096-y
• MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of Marketing Research, 23(2), 130–143. https://doi.org/10.1177/002224378602300205
• Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135–146. https://doi.org/10.1086/208954
• Speck, P. S. (1991). The humorous message taxonomy: A framework for the study of humorous ads. Current Issues and Research in Advertising, 13(1-2), 1–44. https://doi.org/10.1080/01633392.1991.10504957
• Suls, J. M. (1972). A two-stage model for the appreciation of jokes and cartoons: An information-processing analysis. In J. H. Goldstein & P. E. McGhee (Eds.), The Psychology of Humor: Theoretical Perspectives and Empirical Issues (pp. 81–100). Academic Press. https://doi.org/10.1016/B978-0-12-288950-9.50010-9
• Weinberger, M. G., & Gulas, C. S. (1992). The impact of humor in advertising: A review. Journal of Advertising, 21(4), 35–59. https://doi.org/10.1080/00913367.1992.10673384

13. Items of the Scale