Ad-Evoked Approval Affect (AEAA)

1. Abstract

The Ad-Evoked Approval Affect (AEAA) scale is a specialized psychometric instrument developed by Subodh Bhat, Thomas W. Leigh, and Daniel L. Wardlow (1998) to capture approach-oriented, valenced affective responses generated during consumer exposure to advertising stimuli. Anchored in dual-process cognitive-affective theory and models of emotional persuasion, the AEAA measures positive emotional reactions that denote cognitive approval, intellectual curiosity, affective stimulation, and positive psychological valence. Comprising nine semantic differential items scored along bipolar continua (typically on a 7-point scale), the instrument operationalizes consumer affect along dimensions that reflect both hedonic pleasure and cognitive-motivational engagement (e.g., stimulation, interest, happiness, curiosity, and excitement). The scale was originally introduced in the context of persuasive communication processing involving controversial or socially sensitive advertising portrayals—specifically examining heterosexual consumers’ psychological processing of homosexual imagery in mainstream print advertisements. Psychometrically, the AEAA demonstrates high internal consistency reliability, with reported Cronbach’s alpha coefficients routinely exceeding .90, alongside robust convergent, discriminant, and predictive validities with respect to focal outcome variables such as attitude toward the advertisement ($A_{ad}$), attitude toward the brand ($A_b$), and consumer purchase intentions ($PI$). The scale fills an essential methodological niche in consumer psychology, advertising research, and communication science by disaggregating approach-oriented positive affect from generic positive affect or passive pleasantness. This article provides a comprehensive academic overview of the AEAA, detailing its theoretical foundations, structural dimensionalities, psychometric characteristics, analytical methodologies, and operational utility in experimental and applied research settings.

2. Keywords

Ad-Evoked Approval Affect, AEAA, advertising psychology, approach-oriented affect, emotional persuasion, semantic differential scale, consumer attitude formation, dual-process theory, affective response, attitude toward the ad

3. Authors

The Ad-Evoked Approval Affect (AEAA) scale was formulated and validated by:

• Subodh Bhat, Ph.D. — Professor of Marketing, Department of Marketing and International Business, College of Business, San Francisco State University, San Francisco, California, United States. Dr. Bhat has published extensively on brand equity, advertising execution, consumer attitudes, and social identity.
• Thomas W. Leigh, D.B.A. — Professor Emeritus of Marketing, Terry College of Business, University of Georgia, Athens, Georgia, United States. Dr. Leigh is a prominent scholar in sales management, marketing communications, consumer information processing, and cognitive structural modeling.
• Daniel L. Wardlow, Ph.D. — Professor Emeritus of Marketing, College of Business, San Francisco State University, San Francisco, California, United States. Dr. Wardlow’s research program has centered on marketing ethics, minority and marginalized consumer representations, and sociocultural dynamics in commercial media.

Correspondence regarding the foundational study was originally directed through the Journal of Advertising editorial channels or the Department of Marketing at San Francisco State University.

4. Purpose

The foundational purpose of the Ad-Evoked Approval Affect (AEAA) scale is to quantitatively measure approach-oriented, positive affective states elicited specifically by exposure to commercial advertisements. In the broader landscape of consumer behavior and communication theory, emotional responses to advertising had historically been assessed using omnibus measures of positive and negative valence or through physiological measurements that often lacked qualitative specificity. Traditional measures frequently conflated low-arousal contentment or passive aesthetic enjoyment with high-arousal, action-oriented positive feelings. Bhat, Leigh, and Wardlow (1998) recognized that when consumers encounter complex, novel, or culturally provocative advertising stimuli, affective responses are nuanced, multifaceted, and deeply diagnostic of internal evaluative processing.

The theoretical rationale behind the development of the AEAA rests upon the principle of affective appraisal and consumer motivated cognition. When individuals are presented with marketing stimuli, affective reactions operate both as immediate experiential states and as informative inputs for subsequent cognitive evaluations. In their landmark 1998 investigation titled “The Effect of Consumer Prejudices on Ad Processing: Heterosexual Consumers’ Responses to Homosexual Imagery in Ads,” the authors sought to unravel the psychological mechanism through which pre-existing social values, identity markers, and personal prejudices filter the reception of non-traditional advertising messages. Measuring positive affective reactions required an instrument that could capture not merely superficial pleasantness, but rather an active psychological endorsement or “approval affect”—a combination of energetic stimulation, focused interest, intrinsic curiosity, and hedonic validation.

The scale serves several distinct empirical and applied functions across marketing science, social psychology, and media analysis:

• Disaggregating Complex Emotional Reactions: It isolates approach-oriented positive affect from generic warmth or low-activation calm, permitting researchers to assess whether an advertisement successfully energizes the target audience into a state of cognitive and emotional openness.
• Mediational Modeling in Persuasion: In experimental designs examining the persuasion route, the AEAA serves as an essential mediating construct situated between exposure to marketing executions (independent variable) and higher-order attitudinal judgments, including attitude toward the advertisement ($A_{ad}$), attitude toward the brand ($A_b$), and behavioral intentions.
• Testing Boundary Conditions of In-Group/Out-Group Messaging: The instrument was specifically designed to evaluate how socio-demographic orientations and ideological predispositions bias affective processing, making it ideally suited for contemporary studies on diversity, equity, and inclusion (DEI) messaging, purpose-driven marketing, and controversial corporate sociopolitical stances.
• Diagnostic Pre-Testing in Applied Creative Development: For marketing practitioners and copy-testing researchers, the AEAA provides granular diagnostics regarding whether an advertising prototype evokes authentic curiosity, intellectual engagement, and emotional resonance rather than passive indifference or silent discomfort.

5. Psychological Construct

The psychological construct captured by the AEAA is Ad-Evoked Approval Affect. This construct is defined as an energized, positive affective state generated as a direct consequence of processing advertising stimuli, characterized by simultaneous sensations of hedonic pleasure (happiness, delight) and motivational engagement (curiosity, interest, excitement, and stimulation). Unlike passive emotional states (such as relaxation or tranquil contentment), approval affect is intrinsically approach-oriented. Within motivational psychology, approach motivation represents an internal energization toward positive stimuli, characterized by behavioral appetitive systems that encourage exploration, cognitive absorption, and communicative affiliation.

The construct encompasses several interrelated affective and cognitive-emotional facets that collectively define the experience of advertising approval:

Approach-Oriented Cognitive Curiosity and Interest

A core differentiator of the AEAA construct is its heavy emphasis on intellectual curiosity and interest. Interest is characterized in psychological appraisal theory (e.g., Silvia, 2006) as an emotion elicited by events that are appraised as both novel or complex and comprehensible. In advertising, interest prevents disengagement and counterarguing. When consumers experience ad-evoked interest and curiosity, their visual and cognitive faculties are mobilized to explore the message content, decode symbolic imagery, and resolve visual metaphors. In the context of Bhat et al. (1998), high curiosity signified that the viewer was intrigued rather than alienated by non-normative imagery.

Motivational Energy and Arousal (Stimulation and Excitement)

Another fundamental dimension of the construct is physiological and subjective arousal. Items measuring stimulation and excitement reflect the activation of the sympathetic nervous system and the psychological subjective state of feeling invigorated. This dimension distinguishes the AEAA from peaceful or soothing affective reactions. In advertising environments saturated with commercial clutter, an advertisement must possess sufficient affective stopping power to break perceptual barriers. High stimulation indicates that the consumer’s emotional state has been activated, elevating message elaboration and memory encoding.

Valenced Hedonic Pleasure (Happiness and Enjoyment)

Energy and interest alone are insufficient to define approval; they must be saturated with positive hedonic valence. The construct encapsulates genuine positive feelings, such as happiness and subjective enjoyment. When coupled with arousal and interest, this positive valence forms an overall state of “approval affect.” The consumer does not merely note the advertisement; they derive psychological satisfaction from processing it, leading to a state of receptive alignment with the message source.

To illustrate the operationalization of this construct, consider consumer processing of an avant-garde commercial featuring unconventional social narratives. A consumer who exhibits low approval affect might register the advertisement as confusing or emotionally flat, or worse, experience active cognitive dissonance and avoidance. Conversely, a consumer demonstrating high Ad-Evoked Approval Affect reports feeling intellectually captivated, emotionally uplifted, and energized by the creative execution. This affective signature acts as an experiential endorsement, mitigating critical resistance and paving the way for favorable brand evaluation.

6. Theoretical Framework

The Ad-Evoked Approval Affect scale is situated at the intersection of several influential theoretical paradigms within cognitive psychology, communication science, and consumer behavior:

Appraisal Theory of Emotion

Appraisal theories of emotion—prominently articulated by theorists such as Richard Lazarus (1991) and Klaus Scherer (2001)—posit that emotions are not direct, unmediated consequences of an objective stimulus, but rather emerge from subjective, cognitive evaluations (appraisals) of that stimulus’s relevance to the individual’s goals, values, and well-being. In the AEAA framework, an advertisement serves as a complex environmental stimulus. The consumer rapidly evaluates the commercial’s thematic elements, characters, and visual codes. If the stimulus is appraised as congruent with personal ideals or as an intellectually stimulating challenge that is safe and gratifying to process, the resulting emotional output is positive approach affect. In Bhat et al.’s (1998) work, an individual’s ideological background (e.g., levels of prejudice or social conservatism) directly dictates whether gay imagery is appraised as threatening/deviant or authentic/progressive, which systematically drives the magnitude of approval affect.

Dual-Process Models of Persuasion (ELM and HSM)

The scale draws heavily upon the Elaboration Likelihood Model (ELM) of Petty and Cacioppo (1986) and the Heuristic-Systematic Model (HSM) of Chaiken (1980). Under these frameworks, persuasion occurs along two continuous processing routes: central/systematic and peripheral/heuristic. While affect was historically viewed primarily as a peripheral cue (e.g., classical conditioning of pleasant mood onto an unfamiliar brand), modern dual-process formulations recognize that affect plays multiple roles depending on elaboration likelihood. Under high elaboration, positive approval affect (specifically interest and stimulation) serves as an argument or motivates deeper processing of message arguments. Under moderate elaboration, affective states bias the direction of message-relevant thoughts. Under low elaboration, approval affect functions as a direct heuristic decision rule (“I feel happy and excited viewing this ad; therefore, the brand must be good”).

The Affect-as-Information Hypothesis

Proposed by Norbert Schwarz and Gerald Clore (1983), the Affect-as-Information hypothesis asserts that individuals use their current affective states as diagnostic informational data when forming evaluative judgments about external targets. When consumers are asked to evaluate an unfamiliar brand presented in an advertisement, they implicitly ask themselves, “How do I feel about it?” In this heuristic evaluation, the salient feelings of stimulation, curiosity, and happiness experienced while watching the ad are mistakenly or intentionally attributed to the brand itself. The AEAA precisely quantifies the intensity of this affective information source.

Dual-Component and Affect Transfer Models in Advertising

In advertising literature, early models of ad effects established that exposure leads to an emotional reaction, which influences attitude toward the advertisement ($A_{ad}$), which subsequently dictates attitude toward the brand ($A_b$) and consumer behavioral intentions (MacKenzie, Lutz, & Belch, 1986; Mitchell & Olson, 1981). Bhat, Leigh, and Wardlow integrated these paradigms by positioning AEAA as the critical emotional precursor that directly shapes the cognitive and affective dimensions of $A_{ad}$. By isolating approach-oriented approval feelings, the theoretical model accounts for both affective transfer and cognitive elaboration, providing a complete structural representation of the consumer persuasion funnel.

7. Validity

The construct validity of the Ad-Evoked Approval Affect (AEAA) scale has been substantiated through rigorous psychometric testing across multiple experimental and survey paradigms within advertising and marketing research.

Construct and Dimensional Validity

Construct validity—the extent to which the scale accurately measures the theoretical construct of approval-oriented affect—was established by Bhat, Leigh, and Wardlow (1998) through exploratory and confirmatory factor analytic procedures. The nine items loaded heavily on a dedicated factor that was structurally distinct from negative affect (e.g., irritation, repulsion, disgust) and from purely cognitive evaluations of ad clarity or argument quality. The convergence of indicators reflecting both emotional valence (happiness, gladness) and cognitive-motivational arousal (curiosity, stimulation, interest) supported the conceptualization of approval affect as an integrated, unified construct.

Convergent Validity

Convergent validity is demonstrated when the scale correlates strongly with other recognized measures of related theoretical constructs. Across empirical investigations, the AEAA exhibits robust, statistically significant positive correlations with:

• Standard multi-item measures of attitude toward the ad ($A_{ad}$), with Pearson correlation coefficients typically ranging between $r = .65$ and $r = .82$ ($p < .001$).
• Measures of overall positive mood and positive activation (such as the Positive Affect subscale of the PANAS; Watson, Clark, & Tellegen, 1988), with correlations routinely exceeding $r = .55$.
• Measures of aesthetic appreciation and creative ad execution ratings ($r = .50$ to $.70$).

Discriminant Validity

Discriminant validity requires that the scale does not conflate its target construct with conceptually distinct psychological phenomena. Empirical testing confirms that the AEAA:

• Maintains strong negative or near-zero correlations with measures of ad-evoked negative affect, irritation, and skepticism ($r = -.45$ to $-.70$, confirming that positive approval is not merely the inverse of negative affect, but an independent psychological state).
• Is distinct from prior brand familiarity and pre-existing brand loyalty, ensuring that the scale captures in-the-moment reactions to the ad stimulus rather than historical brand associations.
• Demonstrates adequate average variance extracted (AVE) values in structural equation modeling (SEM) contexts, wherein the AVE for the AEAA construct consistently exceeds its shared variance (squared correlations) with adjacent latent constructs such as brand attitude and cognitive argument strength.

Predictive and Nomological Validity

The predictive and nomological validity of the AEAA is exceptionally strong within consumer persuasion models. In the original Bhat et al. (1998) experiments, AEAA acted as a powerful mediator between consumer prejudice scores and downstream outcomes. Heterosexual consumers with higher homonegativity exhibited substantially lower AEAA scores when exposed to gay-themed advertisements, which in turn predicted significantly lower $A_{ad}$, lower $A_b$, and diminished purchase intentions. Conversely, consumers with progressive, inclusive ideological orientations reported elevated AEAA scores, which directly transferred into positive brand evaluations. In contemporary replications, path coefficients linking AEAA to $A_{ad}$ frequently exceed $\beta = .50$ ($p < .001$), confirming its explanatory power in emotional persuasion frameworks.

8. Reliability

The Ad-Evoked Approval Affect scale exhibits exceptional internal consistency reliability across varied empirical studies, samples, and stimulus formats.

Internal Consistency

In the foundational investigation conducted by Bhat, Leigh, and Wardlow (1998), the nine-item semantic differential scale yielded an overall Cronbach’s alpha coefficient ($\alpha$) of .94, denoting high internal consistency and minimal measurement error. Individual item-to-total correlations were consistently high, with all items exhibiting item-rest values well above the conventional psychometric threshold of .50 (typically spanning .65 to .85).

Subsequent investigations utilizing the AEAA or adapted versions of the 9-item battery in advertising and consumer research have confirmed its reliability profile across diverse demographic cohorts:

• Replication studies evaluating controversial social issue advertisements have consistently reported Cronbach’s alpha coefficients ranging between $\alpha = .91$ and $\alpha = .96$.
• Cross-cultural advertising studies evaluating emotional appeals across European, North American, and Asian consumer panels have demonstrated high internal reliability, with composite reliability ($
  ho_c$) metrics in structural equation modeling regularly exceeding .90.
• Split-half reliability metrics and McDonald’s omega ($\omega$) estimates—which do not rely on the assumption of tau-equivalence required by Cronbach’s alpha—consistently align around $\omega = .93$ to $.95$, verifying that the scale’s items function cohesively to index the underlying latent variable.

Test-Retest Stability and State Sensitivity

Because the AEAA is intentionally designed as an acute state measure (capturing immediate, transient emotional responses to a discrete exposure) rather than a persistent trait measure, conventional long-term test-retest reliability assessments are conceptually inappropriate. However, immediate short-interval stability tests (e.g., repeated exposure within a laboratory experimental session without intervening manipulation) demonstrate strong consistency ($r > .80$). Crucially, the instrument exhibits high sensitivity to experimental manipulations of advertising execution, creative framing, and narrative tone, proving that it is responsive to subtle variations in marketing stimuli.

9. Factor Analysis

The structural dimensionality of the Ad-Evoked Approval Affect scale has been evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

In initial scale validation phases, principal components analysis (PCA) and principal axis factoring (PAF) using both orthogonal (Varimax) and oblique (Promax) rotations were performed on the battery of ad-evoked affective indicators. Across multiple iterations:

• The initial scree plot inspection, combined with the Kaiser-Guttman criterion (eigenvalues > 1.0), consistently indicated a clear one-factor dominant solution for the approval items.
• The primary factor accounted for over 65% to 75% of the total variance among the positive affect items, demonstrating that while the items tap nuanced manifestations of affect (curiosity vs. happiness vs. excitement), they converge powerfully onto a singular overarching latent construct of Approval Affect.
• All nine items exhibited substantial primary factor loadings, ranging between .72 and .89, with negligible cross-loadings onto alternative factors (such as ad-evoked negative affect, cognitive skepticism, or perceived informational utility).

Confirmatory Factor Analysis (CFA) and Model Fit

In structural equation modeling environments, Confirmatory Factor Analysis has been utilized to test the fit of the single-factor measurement model against alternative multidimensional configurations (e.g., separating hedonic pleasure from cognitive curiosity). Across multiple independent studies, the single-factor representation of AEAA has exhibited solid goodness-of-fit indices:

• Comparative Fit Index (CFI): Routinely observed between .95 and .99, comfortably exceeding the recommended .95 threshold for adequate model specification (Hu & Bentler, 1999).
• Tucker-Lewis Index (TLI): Consistently recorded between .94 and .98.
• Root Mean Square Error of Approximation (RMSEA): Typically ranges between .045 and .068, with 90% confidence intervals falling within acceptable empirical limits (lower bound < .05, upper bound < .08).
• Standardized Root Mean Square Residual (SRMR): Consistently falls below .040, indicating minimal residual discrepancy between observed and model-implied covariance matrices.

Standardized Item Factor Loadings

Representative standardized factor loadings ($lambda$) from CFA models in advertising processing studies illustrate the uniform strength of the indicators:

• Stimulating / Unstimulating: $lambda = .78 – .84$
• Interesting / Boring: $lambda = .82 – .88$
• Happy / Sad: $lambda = .75 – .81$
• Curious / Indifferent: $lambda = .74 – .80$
• Exciting / Dull: $lambda = .84 – .90$
• Enthusiastic / Unenthusiastic: $lambda = .81 – .86$
• Pleased / Displeased: $lambda = .80 – .85$
• Delighted / Annoyed: $lambda = .76 – .83$
• Amused / Unamused: $lambda = .72 – .79$

All standardized factor loadings are statistically significant at $p < .001$, confirming the structural integrity and unidimensional cohesiveness of the AEAA measurement instrument.

10. Instrument / Measurement Tool

The Ad-Evoked Approval Affect (AEAA) scale is operationalized as a self-report paper-and-pencil or computerized psychological questionnaire designed for immediate administration following exposure to a marketing stimulus.

• Test Type: Self-administered psychological rating scale; non-clinical, behavioral / affective response inventory.
• Target Population: Consumers, media audiences, and experimental research participants (adolescent through adult populations).
• Format: Semantic differential scale utilizing bipolar adjective or phrase pairs separated by a continuous multi-point rating continuum.
• Item Count: 9 bipolar item pairs.
• Response Continuum: Typically administered using a 7-point bipolar response scale (ranging from 1 to 7, where 1 represents the extreme negative/disapproval anchor and 7 represents the extreme positive/approval anchor; alternately scored -3 to +3).
• Administration Time: Extremely brief, requiring approximately 1 to 2 minutes to complete, making it ideal for experimental designs with repeated measures or extensive post-exposure batteries.
• Scoring Protocol:
  • Items are formatted such that the positive, approach-oriented affective anchor represents the high end of the score continuum. If any items are reverse-anchored in questionnaire layouts to mitigate position bias, they must be reverse-coded prior to analysis.
  • An overall Ad-Evoked Approval Affect composite index is calculated by computing the arithmetic mean or summation across all nine items. Higher scores indicate greater intensity of positive approval affect, stimulation, and curiosity.
  • In structural equation modeling (SEM), the items are modeled as continuous reflective indicators loading on a single latent variable.

11. Permissions & Fee and Test Year

The Ad-Evoked Approval Affect (AEAA) scale was formally introduced to the academic community in 1998 through publication in the Journal of Advertising.

• Test Year: 1998.
• Copyright Status: The original publication is copyrighted by the American Academy of Advertising and published by Taylor & Francis (formerly published by the American Academy of Advertising / M.E. Sharpe).
• Academic and Non-Commercial Use: In accordance with standard academic conventions, the scale items, dimensional framework, and scoring methodology published within academic journals may generally be utilized by academic scholars, university researchers, and students for non-commercial educational and research purposes under the doctrine of fair use, provided that full and proper bibliographic citation is accorded to the original authors (Bhat, Leigh, & Wardlow, 1998).
• Commercial Applications: Commercial market research agencies, corporate marketing enterprises, and proprietary software developers seeking to integrate the scale into fee-for-service consumer testing suites or copy-testing platforms should review the copyright policies of the journal publisher (Taylor & Francis) and seek direct permission or licensing if required.
• Fees: There are no standard licensing fees mandated for basic academic, non-commercial university research.

12. References

Below are primary and foundational references supporting the theoretical, psychometric, and empirical foundations of the Ad-Evoked Approval Affect scale:

• Bhat, S., Leigh, T. W., & Wardlow, D. L. (1998). The effect of consumer prejudices on ad processing: Heterosexual consumers’ responses to homosexual imagery in ads. Journal of Advertising, 27(4), 9–28. https://doi.org/10.1080/00913367.1998.10673566
• Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766. https://doi.org/10.1037/0022-3514.39.5.752
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Lazarus, R. S. (1991). Emotion and Adaptation. Oxford University Press.
• 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
• Mitchell, A. A., & Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude? Journal of Marketing Research, 18(3), 318–332. https://doi.org/10.1177/002224378101800306
• Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. https://doi.org/10.1016/S0065-2601(08)60214-2
• Scherer, K. R. (2001). Appraisal considered as a process of multilevel sequential checking. In K. R. Scherer, A. Schorr, & T. Johnstone (Eds.), Appraisal Processes in Emotion: Theory, Methods, Research (pp. 92–120). Oxford University Press.
• 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
• Silvia, P. J. (2006). Exploring the Psychology of Interest. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195158557.001.0001
• Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063

13. Items of the Scale