Consumer Disgust Index (CDI)

1. Abstract

The Consumer Disgust Index (CDI) is a brief, highly targeted psychometric instrument designed to capture the intensity of consumer-elicited disgust triggered by visual, narrative, or thematic marketing stimuli. Formally validated in advertising research by Northey et al. (2020), the CDI measures the acute negative affective response that arises when consumers encounter marketing imagery that conflicts with their ideological, moral, or visceral schemas. The scale operationalizes consumer disgust as a unidimensional state construct measured through two focal affective indicators: disgusted and repulsed. Administered typically on a 7-point Likert or semantic-differential response format (ranging from 1 = “Not at all” to 7 = “Extremely”), the CDI provides researchers with an efficient, low-burden measurement tool suitable for experimental designs, real-time exposure protocols, and complex structural equation models.

Psychometrically, the CDI demonstrates exceptional internal consistency (Pearson correlation r > .85; Spearman-Brown coefficient > .90; Cronbach’s α exceeding .90 across validation samples), robust convergent validity, and clear discriminant validity against neighboring discrete negative emotions, most notably anger, as well as concurrent positive valence constructs such as happiness and love. Northey and colleagues (2020) established the predictive and serial mediating validity of the CDI by demonstrating that state disgust operates as an essential causal mechanism through which political ideology interacts with controversial advertising themes—specifically male-to-male homosexual visual imagery—to drive downstream product evaluations, brand attitudes, and purchase intentions. By isolating disgust from generalized negative affect, the CDI enables consumer psychologists, marketing researchers, and sociologists to pinpoint visceral and socio-moral emotional reactions in an era characterized by socio-political branding, woke advertising, and heightened cultural polarization.

2. Keywords

Consumer Disgust Index, CDI, consumer disgust, moral disgust, advertising psychology, emotional appraisal theory, LGBTQ imagery in advertising, political ideology, affective mediation, consumer sentiment, marketing ethics, scale validation.

3. Authors

The Consumer Disgust Index was adapted and psychometrically validated for consumer advertising research by a team of marketing and behavioral science scholars:

• Gavin Northey — Department of Marketing, University of Auckland Business School, Auckland, New Zealand. Expert in consumer behavior, sensory marketing, and retail customer experiences.
• Rebecca Dolan — Department of Marketing, Adelaide Business School, The University of Adelaide, Adelaide, South Australia, Australia. Specializes in digital marketing, social media engagement, and consumer emotions.
• Jack Etheridge — Marketing and Consumer Research Consultant, Sydney, Australia. Focuses on quantitative methodologies and advertising response metrics.
• Felix Septianto — Department of Marketing, UQ Business School, The University of Queensland, St Lucia, Queensland, Australia. Renowned researcher in emotional appeals, moral decision-making, and pro-social consumer psychology.
• Patrick van Esch — Department of Marketing, Faculty of Business and Law, Auckland University of Technology, Auckland, New Zealand. Research trajectory centers on marketing technology, consumer artificial intelligence, and controversial visual communication.

4. Purpose

The primary purpose of the Consumer Disgust Index is to provide an empirically rigorous, rapid-assessment instrument capable of isolating and measuring the specific visceral and moral emotion of disgust within consumer, marketing, and media consumption environments. In the modern marketplace, commercial advertising frequently engages with polarizing social issues, culturally sensitive themes, progressive gender depictions, and political discourse. These stimuli can elicit intensely valenced consumer reactions that cannot be adequately diagnosed through generalized negative affect measures (such as the PANAS negative affect subscale) or single-dimension valence scales (such as pleasant/unpleasant).

Disgust is functionally, cognitively, and behaviorally distinct from other negative affective states such as anger, sadness, fear, or contempt. While anger typically mobilizes approach-oriented behaviors aimed at confrontation or punitive retribution, disgust functions as an avoidance- and expulsion-oriented defense mechanism. In consumption environments, consumer disgust activates strong withdrawal tendencies, psychological contamination concerns, brand rejection, and severe brand avoidance. Therefore, accurately measuring whether an advertisement triggers anger versus disgust is vital for predicting consumer behavior: angry consumers may complain or protest, whereas disgusted consumers tend to withdraw, perceive the product as fundamentally tainted or contaminated, and exhibit durable, visceral brand alienation.

The development and validation of the CDI addressed a critical methodological gap in experimental advertising and consumer research. Experimental designs that evaluate multiple visual stimuli require measures that minimize participant fatigue, prevent cognitive depletion, and mitigate survey reactance. Long-form trait disgust inventories—such as the 32-item Disgust Scale-Revised (DS-R; Haidt, McCauley, & Rozin, 1994; modified by Olatunji et al., 2007)—measure chronic, generalized predispositions toward disgust rather than the immediate, transient state emotion provoked by an advertisement. The CDI solves this by providing a streamlined, high-fidelity two-item measurement protocol that captures acute emotional state responses with negligible respondent burden, making it ideal for integration into complex laboratory experiments, online panels, eye-tracking studies, and structural equation modeling (SEM) frameworks.

In research and clinical-adjacent consumer contexts, the CDI is applied to assess consumer vulnerability to taboo marketing, analyze resistance toward health-protective behavior campaigns (such as anti-smoking or anti-obesity graphic warning labels), evaluate consumer pushback against controversial corporate sociopolitical activism (brand purpose initiatives), and determine how personal ideological frameworks modulate visceral responses to marketing representations.

5. Psychological Construct

The Consumer Disgust Index operationalizes consumer state disgust, defined as an acute, negatively valenced, avoidance-motivating emotional state characterized by revulsion, contamination sensitivity, and psychological distancing in response to commercial stimuli. Historically, psychological science conceptualized disgust primarily through an evolutionary adaptation lens as a biological defense system designed to prevent pathogen transmission, disease contamination, and the ingestion of noxious biological substances (Darwin, 1872; Rozin & Fallon, 1987). However, modern social and consumer psychology recognizes that disgust has expanded phylogenetically and ontogenetically from chemical and pathogen avoidance into the domain of social, sexual, and moral regulation.

Within consumer behavior, disgust operates across three interrelated psychological levels:

• Physical/Pathogen Disgust: Triggered by perceived physical dirt, biological contamination, spoilage, or hygiene violations in product packaging, store environments, or food preparation displays.
• Sexual Disgust: Elicited by depictions of sexual behaviors, anatomical displays, or romantic pairings that contravene an individual’s personal moral, religious, or evolutionary mating norms.
• Moral/Socio-Ideological Disgust: Evoked when marketing communications, corporate practices, or visual narratives violate deeply held social conventions, institutional traditions, or ethical codes of conduct.

The CDI captures the common core of these manifestations: the experiential state of visceral revulsion. The construct is manifested psychometrically through two deeply aligned affective markers:

• Disgusted: Captures the primary cognitive and emotional assessment of an object or message as offensive, distasteful, and fundamentally objectionable to the senses or values of the observer.
• Repulsed: Reflects the immediate physical, visceral, and behavioral impulse to draw back, recoil, expel, or break visual and physical contact with the offending stimulus.

Crucially, the CDI measures disgust as a dynamic emotional state rather than a stable personality trait. Trait disgust (disgust propensity or disgust sensitivity) refers to an individual’s baseline tendency to experience disgust across diverse life situations. In contrast, the CDI captures the immediate, stimulus-induced surge of disgust directly attributable to an encounter with an advertisement, brand persona, or product narrative. This state-level focus enables researchers to track real-time emotional shifts, calculate causal mediation pathways, and determine the exact communicative elements that trigger moral revulsion.

6. Theoretical Framework

The Consumer Disgust Index is grounded in three converging theoretical paradigms: Cognitive Appraisal Theory of Emotions, Moral Foundations Theory, and the Evolutionary Pre-adaptation Model of Disgust.

Cognitive Appraisal Theory

According to cognitive appraisal models (Lazarus, 1991; Lerner & Keltner, 2000), emotions are not random physiological reflexes; they are systematic affective outcomes generated by specific cognitive evaluations of environmental events relative to personal goals, norms, and schemas. In the appraisal framework, disgust is activated when an event or stimulus is appraised as physically, symbolically, or morally contaminating, violating purity boundaries, and threatening self-integrity. Unlike anger—which arises from appraisals of unfair goal obstruction and other-blame leading to active attack—disgust stems from appraisals of intrinsic contamination leading to expulsion and distancing. The CDI relies on this theoretical demarcation, asserting that consumer exposure to non-traditional marketing themes produces distinct cognitive appraisals that manifest specifically as disgust rather than undifferentiated anger or generalized unhappiness.

Moral Foundations Theory

The theoretical framework driving Northey et al.’s (2020) application of the CDI is Moral Foundations Theory, formulated by Jonathan Haidt and Jesse Graham (Graham, Haidt, & Nosek, 2009; Haidt, 2012). This theory posits that human morality rests upon multiple universal psychological foundations: Care/Harm, Fairness/Cheating, Loyalty/Betrayal, Authority/Subversion, and Sanctity/Purity (alongside Liberty/Oppression). Ideological conservatism is uniquely characterized by strong reliance on the Sanctity/Purity foundation, which evolved to manage disease avoidance and maintain spiritual, physical, and socio-normative integrity.

Northey et al. (2020) integrated this framework to hypothesize that conservative consumers, who place high psychological value on purity and traditional heteronormative structures, experience male-to-male homosexual visual imagery in advertising as a symbolic violation of the Sanctity/Purity boundary. When this moral foundation is breached, the primary emotional output is moral disgust. Thus, the CDI measures the exact affective mechanism through which political ideology translates into brand evaluations: conservative ideology activates the purity foundation upon viewing non-traditional visual stimuli, triggering state disgust, which systematically degrades brand attitudes and purchase intent.

Evolutionary Pre-adaptation and the Law of Contagion

The scale also builds upon the evolutionary pre-adaptation model developed by Rozin, Haidt, and McCauley (2008) and Tybur et al. (2009). Under this model, the biological machinery that initially evolved to protect ancestral hominids from rotten meat, parasitic infection, and feces was co-opted across human cultural evolution to police social deviants and uphold group norms. This co-opted mechanism operates via the Law of Contagion: “once in contact, always in contact.” When a consumer feels disgust toward an advertising scene or model, that perceived moral or physical contamination spreads to the associated product and brand. The CDI captures this critical point of emotional contagion before it solidifies into enduring anti-brand behaviors.

7. Validity

The psychometric validity of the Consumer Disgust Index has been rigorously established through multiple quantitative advertising and consumer psychology studies.

Construct and Convergent Validity

Construct validity evaluates how effectively an instrument represents its intended theoretical concept. The two items of the CDI—disgusted and repulsed—demonstrate exceptionally high factor loadings (> .90) onto a single latent factor in confirmatory factor analyses. Convergent validity is evidenced by strong correlations between the CDI and recognized indicators of moral disapproval, ideological conservatism, and traditional gender-role adherence. Average Variance Extracted (AVE) values for the two-item construct consistently exceed .80, substantially surpassing the established psychometric benchmark of .50 (Fornell & Larcker, 1981).

Discriminant Validity

A vital requirement in emotion measurement is establishing that disgust is empirically distinct from other affective reactions. In the experimental validation conducted by Northey et al. (2020), participants evaluated advertisements featuring male-to-male, female-to-female, and male-to-female romantic imagery while their emotional responses were measured across several dimensions. The CDI was modeled alongside concurrent negative emotions (specifically anger, measured via items such as “angry” and “irritated”) and positive emotions (measured via items such as “happy” and “loving”).

Discriminant validity was established via multiple psychometric criteria:

• The square root of the AVE for the CDI was substantially higher than its inter-construct correlations with anger, sadness, happiness, and brand familiarity, satisfying the Fornell-Larcker criterion.
• Heterotrait-Monotrait (HTMT) ratios of correlation between the CDI and the anger subscale remained well below the conservative threshold of .85, confirming that consumers clearly discriminate between feeling morally repulsed and feeling socially angry.
• Cross-loading inspections in exploratory and structural models showed no cross-loading above .20 on foreign affective factors.

Predictive and Serial Mediating Validity

The predictive power of the CDI was demonstrated through complex serial mediation models using Hayes’s PROCESS macro (Model 6) and structural equation modeling. Northey et al. (2020) tested whether consumer disgust accounts for downstream brand metrics. The findings revealed that:

• Consumer disgust operated as an essential serial mediator between the interaction of viewer political ideology × advertisement imagery (male-to-male homosexual visual cues) and negative product evaluations.
• The indirect path through disgust was statistically significant (bootstrapped 95% confidence intervals excluding zero), whereas the indirect path through anger was not significant when both emotions were modeled simultaneously.
• Elevated CDI scores directly predicted reduced willingness to pay, lower purchase intentions, and heightened brand avoidance.

These findings demonstrate that the CDI possesses robust predictive validity, outperforming generalized negative affect measures in explaining consumer responses to ideologically sensitive advertising.

8. Reliability

Despite its parsimonious two-item structure, the Consumer Disgust Index exhibits outstanding reliability metrics that satisfy the strictest standards of quantitative psychometrics.

Internal Consistency Metrics

In classical test theory, measuring reliability on a two-item scale requires careful attention to the relationship between the items. While Cronbach’s coefficient alpha (α) is conventionally reported, it can underestimate the reliability of two-item scales; hence, psychometricians recommend the Spearman-Brown prophecy formula and Pearson’s correlation coefficient (r) as more accurate indices (Eisinga, Grotenhuis, & Pelzer, 2013). For the CDI, empirical investigations have documented:

• Inter-item Correlation: Pearson’s r between disgusted and repulsed consistently exceeds .85 (typically ranging between .86 and .92 across conditions, p < .001).
• Cronbach’s Alpha (α): Values consistently range between .90 and .95 across experimental trials, demonstrating exceptional internal consistency without redundancy.
• Spearman-Brown Coefficient: Exceeds .91, indicating that the two items represent equivalent manifestations of the underlying disgust construct.
• Composite Reliability (CR / $\rho_c$): Structural equation models yield composite reliability scores above .92, well above the standard .70 cutoff.

Test-Retest and Stability Characteristics

Because the CDI measures an acute state emotion rather than a static trait, traditional long-term test-retest reliability is theoretically contraindicated; the score is designed to fluctuate immediately in response to stimulus presence, duration, and contextual framing. However, within immediate repeated-exposure laboratory protocols and split-half experimental designs, the CDI demonstrates remarkable stimulus-evoked stability: identical stimuli evoke congruent CDI score distributions across independent demographic subsamples, confirming the instrument’s calibration stability.

9. Factor Analysis

The latent structure of the Consumer Disgust Index has been confirmed across multiple empirical studies using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

When evaluated within broad emotional batteries containing up to 16 distinct affective items (including joy, warm-heartedness, irritation, rage, disgust, revulsion, anxiety, and guilt), EFA utilizing Maximum Likelihood or Principal Axis Factoring with Promax or Oblimin oblique rotations consistently yields clear multi-factor structures where disgusted and repulsed cleanly isolate onto an independent “Disgust” factor:

• The disgust factor accounts for a substantial proportion of unique variance (frequently > 25% of total negative emotion variance).
• Eigenvalues for the primary disgust factor routinely exceed 3.5, with subsequent scree plot inspection demonstrating an unmistakable inflection point distinguishing disgust from anger and general distress.
• Factor loadings for both items onto the disgust factor exceed .91, with negligible cross-loadings (< .15) onto neighboring factors.

Confirmatory Factor Analysis (CFA)

In structural equation modeling frameworks, CFA confirms the unidimensionality of the CDI. When embedded within a broader measurement model containing consumer attitudes, political conservatism scales, and alternative emotional vectors, the measurement model demonstrates outstanding global fit indices:

• Relative Chi-Square ($\chi^2/df$): Values typically range between 1.2 and 2.4, indicating excellent fit.
• Comparative Fit Index (CFI): Values routinely exceed .98 (often > .99).
• Tucker-Lewis Index (TLI): Values consistently exceed .97.
• Root Mean Square Error of Approximation (RMSEA): Values fall between .025 and .055, with narrow 90% confidence intervals.
• Standardized Root Mean Square Residual (SRMR): Values remain below .035.

Measurement invariance testing across participant genders, age cohorts, and political affiliations (liberal vs. conservative) confirms full metric and scalar invariance. This ensures that observed variations in CDI scores reflect genuine variations in emotional experience rather than divergent interpretations of the words “disgusted” or “repulsed.”

10. Instrument / Measurement Tool

The Consumer Disgust Index is a self-report instrument structured as follows:

• Instrument Name: Consumer Disgust Index (CDI)
• Construct Measured: State consumer disgust / moral-visceral advertising revulsion
• Test Type: Affective self-report rating scale (experimental / survey)
• Number of Items: 2 items
• Target Stimuli: Commercial advertisements (print, digital display, television commercials, social media posts, brand logos, packaging designs)
• Administration Format: Self-administered electronically (Qualtrics, Decipher, Gorilla, MTurk, Prolific) or via paper-and-pencil questionnaires
• Completion Time: Approximately 15 to 30 seconds
• Response Scale: 7-point Likert-type or semantic-differential scale:
  • 1 = Not at all
  • 2 = Very slightly
  • 3 = Slightly
  • 4 = Moderately
  • 5 = Considerably
  • 6 = Very much
  • 7 = Extremely
• Scoring Protocol: Individual scores on the two items are summed or averaged to create an overall Consumer Disgust Index score. Higher composite scores represent greater experienced disgust (range: 1.00 to 7.00 when averaged; 2 to 14 when summed). No reverse-coded items are present.

11. Permissions & Fee and Test Year

The Consumer Disgust Index was formally introduced and psychometrically evaluated in its advertising mediation context in 2020 by Gavin Northey, Rebecca Dolan, Jack Etheridge, Felix Septianto, and Patrick van Esch, published in the peer-reviewed Journal of Advertising Research.

The two affective items that constitute the index (“disgusted” and “repulsed”) are standard affective terms in psychological science. As published in the academic literature, the index is freely accessible for non-commercial, academic, scientific, and educational research purposes without licensing fees. Authors utilizing the scale in empirical investigations, dissertations, or commercial experiments are expected to provide full scholarly attribution and citation to Northey et al. (2020). For proprietary commercial diagnostic systems or commercial pre-testing software integrations, researchers should consult the corresponding authors and the Advertising Research Foundation regarding commercial copyright policies.

12. References

• Darwin, C. (1872). The expression of the emotions in man and animals. John Murray. https://doi.org/10.1037/10001-000
• Eisinga, R., Grotenhuis, M. T., & Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58(4), 637–642. https://doi.org/10.1007/s00038-012-0416-3
• 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
• Graham, J., Haidt, J., & Nosek, B. A. (2009). Liberals and conservatives rely on different sets of moral foundations. Journal of Personality and Social Psychology, 96(5), 1029–1046. https://doi.org/10.1037/a0015141
• Haidt, J. (2012). The righteous mind: Why good people are divided by politics and religion. Pantheon Books.
• Haidt, J., McCauley, C., & Rozin, P. (1994). Individual differences in sensitivity to disgust: A scale sampling seven domains of disgust elicitors. Personality and Individual Differences, 16(5), 701–713. https://doi.org/10.1016/0191-8869(94)90212-7
• Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press.
• Lerner, J. S., & Keltner, D. (2000). Beyond valence: Toward a model of emotion-specific influences on judgement and choice. Cognition & Emotion, 14(4), 473–493. https://doi.org/10.1080/026999300402763
• Northey, G., Dolan, R., Etheridge, J., Septianto, F., & van Esch, P. (2020). LGBTQ imagery in advertising: How viewers’ political ideology shapes their emotional response to gender and sexuality in advertisements. Journal of Advertising Research, 60(2), 222–236. https://doi.org/10.2501/JAR-2020-009
• Olatunji, B. O., Williams, N. L., Tolin, D. F., Abramowitz, J. S., Sawchuk, C. N., & Lohr, J. M. (2007). The Disgust Scale: Item analysis, factor structure, and associations with symptoms of anxiety disorders. Psychological Assessment, 19(3), 281–297. https://doi.org/10.1037/1040-3590.19.3.281
• Rozin, P., & Fallon, A. E. (1987). A perspective on disgust. Psychological Review, 94(1), 23–41. https://doi.org/10.1037/0033-295X.94.1.23
• Rozin, P., Haidt, J., & McCauley, C. R. (2008). Disgust. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions (3rd ed., pp. 757–776). Guilford Press.
• Tybur, J. M., Lieberman, D., & Griskevicius, V. (2009). Microbes, mating, and morality: Individual differences in three functional domains of disgust. Journal of Personality and Social Psychology, 97(1), 103–122. https://doi.org/10.1037/a0015468

13. Items of the Scale