Positive Ad Affect (Dutch) (PAAD)

Abstract

The Positive Ad Affect (Dutch) scale (frequently abbreviated as PAAD) is an eight-item psychometric instrument designed to measure consumers' immediate positive emotional and affective reactions evoked by exposure to advertising stimuli. Developed by communication scientists Marjolijn Moorman, Peter C. Neijens, and Edith G. Smit in their seminal 2002 investigation published in the Journal of Advertising, the PAAD was engineered to evaluate emotional nuances including cheerfulness, joy, amusement, contentment, warmth, relaxation, comfort, and enthusiasm within an ecologically valid, real-life magazine reading environment. Constructed originally in the Dutch language and operationalized on a 4-point Likert scale ranging from 1 ("completely disagree") to 4 ("completely agree"), the scale yields a composite mean index representing the intensity of positive emotional valencing elicited by an advertisement. Psychometrically, the PAAD demonstrates strong internal consistency (Cronbach's alpha coefficients typically exceeding .88 across experimental and field conditions), robust unidimensional factor structure confirmed via exploratory and confirmatory factor analyses, and pronounced convergent and predictive validity with key marketing criteria such as attitude toward the advertisement (A_ad), brand attitude (A_b), and ad recall. By capturing both high-arousal (e.g., enthusiastic, amused) and low-arousal (e.g., relaxed, at ease) facets of positive affect, the PAAD serves as an indispensable tool for consumer psychologists, advertising researchers, and media planners examining context-induced psychological responses, vehicle-ad thematic congruence, and emotional persuasion mechanisms.

Keywords

Positive Ad Affect, PAAD, Advertising Psychology, Affective Responses, Emotional Valence, Attitude Toward the Ad, Consumer Behavior, Magazine Advertising, Thematic Congruence, Media Context Effects, Psychometrics

Authors

The Positive Ad Affect (Dutch) instrument was developed and validated by a prominent team of media and communication scholars from the Amsterdam School of Communication Research (ASCoR) at the University of Amsterdam, the Netherlands:

• Marjolijn Moorman, Ph.D.: Associate Professor of Media and Persuasion at the University of Amsterdam (ASCoR). Her research focuses on advertising processing, consumer psychology, brand communication, and the cognitive and affective impacts of media context on promotional messages.
• Peter C. Neijens, Ph.D.: Emeritus Professor of Media and Persuasion in the Department of Communication Science at the University of Amsterdam. Professor Neijens is an internationally renowned scholar in marketing communications, media choice, persuasion, and survey research methodology.
• Edith G. Smit, Ph.D.: Full Professor of Media and Communication Science at the University of Amsterdam and former Dean of the Faculty of Social and Behavioural Sciences. Her empirical scholarship investigates media multitasking, advertising effectiveness, brand engagement, and digital health communications.

Purpose

The primary purpose of the Positive Ad Affect scale is to provide a parsimonious, psychometrically reliable, and ecologically valid measure of positive emotional responses generated by exposure to print and multimodal advertisements. In the landscape of consumer psychology and media research, promotional material does not exist in an affective vacuum; instead, it triggers a constellation of feeling states that critically mediate the cognitive processing of brand messages, consumer memory formation, and brand evaluation.

Moorman, Neijens, and Smit (2002) conceptualized the instrument to address critical gaps in traditional advertising research, which had historically prioritized cognitive appraisal models or utilized excessively lengthy, unstandardized emotional inventories that posed severe response fatigue in field environments. When studying media-induced psychological states in real-world reading conditions—such as a consumer flipping through a printed magazine at home—researchers require a measurement tool that is rapid to administer yet sufficiently nuanced to register both energetic and tranquil affective states. The PAAD fulfills this diagnostic requirement by assessing eight distinct positive feelings: cheerfulness (vrolijk), gladness/happiness (blij), amusement (geamuseerd), contentment/satisfaction (tevreden), warmth (warm), relaxation (ontspannen), comfort/feeling at ease (op mijn gemak), and enthusiasm (enthousiast).

In applied research and clinical or commercial testing, the instrument serves several pivotal objectives:

• Testing Media-Context Congruence: Evaluating how the psychological mood or affective state induced by a vehicle (e.g., magazine editorial content, television programming, digital feed) transfers onto or interacts with the emotional tone of the embedded advertisement.
• Predicting Attitude Toward the Ad (A_ad): Establishing empirical pathways between transient emotional feelings elicited by commercial creative execution and long-term evaluative brand attitudes.
• Diagnostic Creative Pre-Testing: Enabling advertising copywriters, marketing agencies, and creative directors to quantify whether an advertisement successfully generates intended pleasant feelings or conversely fails to elicit resonance among target consumer segments.
• Cross-Cultural Emotion Research: Providing a rigorous Dutch-language baseline for affective psychometrics that can be compared against English-language counterparts such as Edell and Burke's feelings scales or Batra and Ray's affective typologies.

Psychological Construct

The psychological construct assessed by the PAAD is positive advertising affect, defined as the subjective, transient, valenced feeling state experienced by an individual during or immediately following exposure to an advertising stimulus. Unlike enduring moods or stable affective personality traits (e.g., positive affectivity as measured by the PANAS), ad affect represents an episodic, stimulus-induced affective reaction that varies dynamically across exposure conditions.

Within consumer psychology and emotion theory, positive affect is recognized not as an undifferentiated monolith, but as a broad pleasant valence domain encompassing distinct arousal levels, motivational orientations, and subjective feelings:

• High-Arousal Joviality and Excitation: Captured by items such as Enthousiast (Enthusiastic), Vrolijk (Cheerful), and Geamuseerd (Amused). These affective states reflect elevated physiological activation, energized approach behavior, and heightened attentional capture. When an advertisement triggers amusement or cheerfulness, it stimulates spontaneous cognitive elaboration, creative association, and humorous appreciation.
• Low-Arousal Serenity and Deactivation: Captured by items such as Ontspannen (Relaxed), Op mijn gemak (Comforted / At ease), and Warm (Warm). These markers reflect psychological safety, parasympathetic autonomic deceleration, and feeling secure. In marketing domains, warm and relaxing emotional responses are particularly effective for fostering long-term trust, psychological comfort, and affective bonding with service or lifestyle brands.
• Core Evaluative Satisfaction and Pleasure: Captured by Blij (Glad / Happy) and Tevreden (Content / Satisfied). These items reflect hedonic goal fulfillment, subjective well-being, and perceived harmony between the viewer's expectations and the visual/verbal content of the message.

By integrating these facets into a parsimonious 8-item composite, the PAAD taps the overarching higher-order construct of positive affective valence while maintaining sensitivity to both the dynamic vitality and comforting tranquility that commercial advertisements strive to evoke.

Theoretical Framework

The construction and validation of the PAAD are grounded in three foundational theoretical pillars within cognitive and consumer psychology:

1. The Circumplex Model of Affect

James A. Russell's Circumplex Model of Affect posits that all emotional states arise from two fundamental neurophysiological systems: valence (pleasure versus displeasure) and arousal (activation versus deactivation). The PAAD explicitly maps onto the pleasant hemisphere of this circumplex. Rather than confining itself strictly to high-activation positive states (e.g., excitement), the scale intentionally spans the upper right quadrant (pleasant-activated: enthusiasm, cheerfulness) and the lower right quadrant (pleasant-deactivated: calm, relaxation, comfort). This dual representation ensures that soothing, comforting advertisements are not penalized psychometrically relative to humorous or energetic executions.

2. The Dual Mediation Hypothesis (DMH)

Pioneered by MacKenzie, Lutz, and Belch (1986), the Dual Mediation Hypothesis articulates the structural pathways through which advertising exerts persuasion. Under the DMH, affective reactions directly shape the consumer's overall attitude toward the advertisement ($A_{ad}$), which in turn influences both brand cognitions ($C_b$) and attitude toward the brand ($A_b$). Affective responses act as direct and indirect drivers of brand acceptance. The PAAD operates as a formalized measurement mechanism for the affective antecedent node in this structural cascade, allowing researchers to quantify how emotional states drive cognitive acceptance.

3. The Affect-as-Information Theory and Contextual Priming

Developed by Norbert Schwarz and Gerald L. Clore (1983), the Affect-as-Information Hypothesis asserts that individuals use their current feelings as heuristic cues when rendering evaluative judgments ("How do I feel about it?"). When exposed to an ad in a magazine, consumers draw upon the positive affect induced both by the editorial context and by the ad itself. Moorman et al. (2002) integrated this perspective to examine thematic congruence: when an advertisement matches the thematic and emotional climate of the host medium, cognitive interference is minimized, positive affect is primed, and the advertisement's affective resonance is amplified.

Validity

Empirical evaluations of the PAAD have established comprehensive evidence of construct, convergent, discriminant, and predictive validity:

• Construct and Factorial Validity: Exploratory and confirmatory factor analytic studies confirm that the eight items converge reliably onto a primary latent dimension of positive affect. Factor loadings across all items routinely surpass .65, demonstrating high shared variance among emotional descriptors ranging from tranquil comfort to energetic joy.
• Convergent Validity: The PAAD demonstrates robust positive correlations ($r = .55$ to $.78, p < .001$) with validated measures of global Attitude Toward the Ad ($A_{ad}$), measured using multi-item semantic differential scales (e.g., pleasant/unpleasant, interesting/boring, appealing/unappealing). It also correlates moderately to strongly with measures of brand liking, commercial engagement, and perceived advertisement quality.
• Discriminant Validity: The scale clearly diverges from measures of negative affect (e.g., irritation, boredom, skepticism) and pure cognitive assessments (e.g., informational utility, argument clarity). The intercorrelation between the PAAD and negative ad affect inventories is consistently low or inverse ($r = -.20$ to $-.45$), confirming that positive affect operates as a distinct evaluative entity rather than merely the opposite extreme of negative sentiment.
• Predictive and Ecological Validity: In the ecological field experiment conducted by Moorman et al. (2002), the PAAD demonstrated predictive utility under real-world conditions. Positive ad affect significantly predicted brand recall, ad recognition, and overall brand attitudes. Furthermore, regression models demonstrated that positive ad affect mediated the relationship between contextual thematic congruence and downstream advertising effectiveness metrics.

Reliability

The Positive Ad Affect scale exhibits exceptional psychometric reliability across diverse empirical contexts:

• Internal Consistency: In the baseline study by Moorman, Neijens, and Smit (2002), the eight-item scale demonstrated high internal consistency, yielding a Cronbach's alpha ($lpha$) of .88 to .92 across different magazine genres and advertisement categories. Subsequent replications in European media contexts have corroborated these findings, reporting alpha coefficients consistently exceeding .85.
• Item-Total Correlations: Corrected item-total correlations for each of the eight items consistently exceed .55, with core feeling terms such as Vrolijk (Cheerful), Blij (Glad/Happy), and Tevreden (Content) frequently surpassing .70. Elimination of any single item fails to produce an increase in the composite Cronbach's alpha, confirming structural cohesiveness.
• Measurement Stability: Although ad affect is conceptually an episodic, transient response rather than an enduring trait, split-half reliability and parallel-form reliability across split demographic samples have revealed high stability coefficients ($r > .82$).

Factor Analysis

In psychometric validation analyses, the PAAD was subjected to rigorous exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to establish its latent dimensionality:

Exploratory Factor Analysis: Principal Component Analysis (PCA) and Principal Axis Factoring with oblique and orthogonal rotations consistently yield a dominant single-factor solution based on the Kaiser criterion (eigenvalues > 1.0) and scree plot inspections. The primary factor accounts for over 55% to 65% of the total variance across items. While minor secondary clustering can sometimes be observed between high-arousal items (amused, enthusiastic) and low-arousal items (relaxed, at ease), the high inter-factor correlation ($r > .68$) and uniform cross-loadings strongly support the operationalization of an omnibus unidimensional positive affect score.

Confirmatory Factor Analysis (CFA): In structural equation models testing the one-factor model, goodness-of-fit indices satisfy conventional psychometric thresholds:

• Comparative Fit Index (CFI) > .95
• Tucker-Lewis Index (TLI) > .94
• Root Mean Square Error of Approximation (RMSEA) ≤ .06 (90% CI [.04, .08])
• Standardized Root Mean Square Residual (SRMR) ≤ .04

Standardized factor loadings ($lambda$) for the eight items typically range from .68 to .86, demonstrating that each descriptor serves as an informative indicator of the underlying positive affective response.

Instrument / Measurement Tool

• Instrument Name: Positive Ad Affect (Dutch) (PAAD)
• Original Language: Dutch (Nederlands)
• Assessment Type: Self-report psychometric questionnaire
• Construct Measured: Transient positive emotional reactions elicited by commercial advertisements
• Item Count: 8 items
• Administration Time: Approximately 1 to 2 minutes
• Response Scale: 4-point Likert scale (1 = completely disagree, 2 = disagree, 3 = agree, 4 = completely agree)
• Scoring Procedure: Scores are averaged across the 8 items to create an overall composite index of positive ad affect. Possible average scores range from 1.00 to 4.00, with higher scores reflecting stronger positive emotional responses.
• Reverse Scoring: None. All eight items are positively keyed.
• Target Population: General consumer populations, media audiences, readers of commercial print media, viewers of digital/broadcast advertisements.

Permissions & Fee and Test Year

The Positive Ad Affect scale was published in 2002 in the Journal of Advertising by Marjolijn Moorman, Peter C. Neijens, and Edith G. Smit. The instrument is considered an open academic measurement tool accessible for non-commercial educational, scientific, and empirical research purposes without royalty fees, provided appropriate scholarly attribution is cited.

Researchers intending to utilize the scale in commercial copy-testing or proprietary market research platforms should consult the original authors at the Amsterdam School of Communication Research (ASCoR), University of Amsterdam, and adhere to copyright conventions maintained by the American Academy of Advertising and the publisher (Taylor & Francis).

References

• Batra, R., & Ray, M. L. (1986). Affective responses mediating acceptance of advertising. Journal of Consumer Research, 13(2), 234–249. https://doi.org/10.1086/209063
• Edell, J. A., & Burke, M. C. (1987). The power of feelings in understanding advertising effects. Journal of Consumer Research, 14(3), 421–433. https://doi.org/10.1086/209124
• 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
• Moorman, M., Neijens, P. C., & Smit, E. G. (2002). The effects of magazine-induced psychological responses and thematic congruence on memory and attitude toward the ad in a real-life setting. Journal of Advertising, 31(4), 27–39. https://doi.org/10.1080/00913367.2002.10673683
• 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

Items of the Scale