{"id":5562,"date":"2026-09-18T11:57:27","date_gmt":"2026-09-18T11:57:27","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/attitude-toward-the-ad-affective-ataa2\/"},"modified":"2026-09-18T11:57:27","modified_gmt":"2026-09-18T11:57:27","slug":"attitude-toward-the-ad-affective-ataa2","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=attitude-toward-the-ad-affective-ataa2","title":{"rendered":"Attitude Toward the Ad (Affective) (ATAA2)"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">The <strong>Attitude Toward the Ad (Affective) (ATAA2)<\/strong> scale is a concise, psychometrically robust three-item semantic differential instrument designed to assess the purely affective dimension of an individual&#8217;s evaluation of an advertisement. Developed and operationalized by Michel Tuan Pham and Tamar Avnet in their foundational 2004 investigation published in the <em><a href=\"https:\/\/academic.oup.com\/jcr\" target=\"_blank\" rel=\"noopener noreferrer\">Journal of Consumer Research<\/a><\/em>, the instrument emerged from empirical research examining <a href=\"https:\/\/en.wikipedia.org\/wiki\/Regulatory_focus_theory\" target=\"_blank\" rel=\"noopener noreferrer\">regulatory focus theory<\/a> and the differential reliance on affective feelings versus cognitive message substance in persuasion. The scale isolates experiential, emotional, and hedonic reactions to marketing communications independently of the advertisement&#8217;s utilitarian, informational, or cognitive merits. Measured across a 7-point bipolar semantic differential continuum (ranging from 1 to 7), the scale&#8217;s three items evaluate whether an advertisement is perceived as &#8220;Not catchy \/ Catchy,&#8221; &#8220;Not personally appealing \/ Personally appealing,&#8221; and &#8220;Not exciting \/ Exciting.&#8221; Extensive psychometric testing across multiple experimental cohorts demonstrates superior internal consistency (Cronbach&#8217;s alpha coefficients routinely exceeding &alpha; = .85 to .91), excellent factorial validity, and robust discriminant validity against cognitive ad evaluation metrics and cognitive structure scales. By isolating the affective substrate of advertising attitude<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>), the ATAA2 enables consumer psychologists, behavioral economists, and marketing researchers to disentangle feeling-based persuasion mechanisms from cognitive message appraisal, providing a standardized, highly efficient measurement tool for laboratory and field research.<\/p>\n<h2>Keywords<\/h2>\n<p>Attitude toward the ad, affective attitude, consumer psychology, regulatory focus theory, feelings-as-information, advertising effectiveness, hedonic evaluation, emotional appeal, persuasion, semantic differential, psychometrics, consumer behavior<\/p>\n<h2>Authors<\/h2>\n<p>The Attitude Toward the Ad (Affective) (ATAA2) scale was developed and introduced by <strong>Michel Tuan Pham<\/strong> and <strong>Tamar Avnet<\/strong>.<\/p>\n<ul>\n<li><strong>Michel Tuan Pham, Ph.D.<\/strong>: Kravis Professor of Business in Marketing at Columbia Business School, <a href=\"https:\/\/www.columbia.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">Columbia University<\/a>. Dr. Pham is an internationally recognized scholar in consumer psychology, behavioral decision theory, emotional and affective judgment, and sensory marketing. His seminal work on the &#8220;affect-as-information&#8221; framework and feeling-based decision making has profoundly influenced contemporary psychological and consumer research.<\/li>\n<li><strong>Tamar Avnet, Ph.D.<\/strong>: Professor of Marketing and Department Chair of Marketing at the Sy Syms School of Business, <a href=\"https:\/\/www.yu.edu\/syms\" target=\"_blank\" rel=\"noopener noreferrer\">Yeshiva University<\/a>. Dr. Avnet&#8217;s research explores behavioral self-regulation, affective decision architecture, consumer motivation, regulatory fit, and the psychological mechanisms underlying consumer response to marketing stimuli.<\/li>\n<\/ul>\n<h2>Purpose<\/h2>\n<p>The primary purpose of the ATAA2 scale is to provide a pure, unidimensional measurement of the affective facet of an audience&#8217;s overall attitude toward an advertisement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>). Historically, early psychometric scales measuring advertising attitude conflated cognitive assessments (e.g., informativeness, utility, believability, credibility) with visceral emotional or affective appraisals (e.g., pleasure, excitement, charm). This structural conflation hindered the ability of consumer researchers to accurately isolate the cognitive versus affective routes to brand attitude (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>) and purchase intention (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>), particularly within dual-process frameworks such as the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Elaboration_likelihood_model\" target=\"_blank\" rel=\"noopener noreferrer\">Elaboration Likelihood Model<\/a> or the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Heuristic-systematic_model_of_information_processing\" target=\"_blank\" rel=\"noopener noreferrer\">Heuristic-Systematic Model<\/a>.<\/p>\n<p>Pham and Avnet (2004) constructed this instrument within an experimental paradigm designed to test how consumers&#8217; underlying self-regulatory orientations\u2014specifically ideal-focused (promotion-oriented) versus ought-focused (prevention-oriented) regulatory states\u2014systematically moderate the diagnostic weight assigned to subjective affective reactions versus cognitive, substantive message arguments. When individuals operate under an ideal focus, their motivational machinery prioritizes growth, aspirations, and positive outcomes, causing them to rely heavily on subjective feelings of pleasure, excitement, and emotional connection when forming evaluations. Conversely, an ought focus activates concerns regarding duty, safety, and vigilance, prompting consumers to base their attitudes primarily on substantive, factual claims. To test such nuanced theoretical propositions, researchers required a measurement tool capable of capturing experiential ad-evoked feelings untainted by perceived informational merit.<\/p>\n<p>Beyond theoretical consumer psychology, the scale serves critical functions in applied marketing research, copy-testing, and neuromarketing validation. By quantifying the emotional resonance of an advertisement, creative strategists can determine whether an ad successfully elicits affective engagement (&#8220;catchiness&#8221; and &#8220;excitement&#8221;) prior to evaluating consumer comprehension of complex product claims. In clinical and health communication contexts, the ATAA2 enables public health researchers to evaluate whether anti-smoking, vaccination, or nutritional campaigns produce sufficient emotional personal appeal without eliciting counterproductive reactance.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>The psychological construct captured by the ATAA2 scale is the <em>affective component of attitude toward the advertisement<\/em>. Attitude toward the ad is broadly defined as a predisposition to respond in a favorable or unfavorable manner to a particular advertising stimulus during a specific exposure occasion (<a href=\"https:\/\/doi.org\/10.1177\/002224378902600204\" target=\"_blank\" rel=\"noopener noreferrer\">MacKenzie &amp; Lutz, 1989<\/a>). While holistic ad attitudes represent global evaluative judgments, structural psychometrics reveals that <span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span> is structurally multi-dimensional, bifurcating into cognitive appraisal and affective evaluation.<\/p>\n<p>The affective dimension represents the experiential, emotional, and feeling-based reactions evoked directly by the executional properties of the advertisement. It reflects the consumer&#8217;s immediate phenomenal experience rather than deliberative cognitive judgments about product attributes or claim veracity. The construct operationalized by Pham and Avnet focuses specifically on three mutually reinforcing facets:<\/p>\n<ul>\n<li><strong>Catchiness (Attentional-Hedonic Salience):<\/strong> Evaluated via the <em>Not catchy \/ Catchy<\/em> item pair. This facet measures the advertisement&#8217;s capacity to instantaneously arrest perceptual attention through entertaining, stimulating, or aesthetically striking creative execution. Catchiness does not assess informational clarity; rather, it taps into the subjective feeling of involuntary cognitive capture driven by aesthetic or sensory intrigue.<\/li>\n<li><strong>Personal Appeal (Emotional Self-Relevance):<\/strong> Evaluated via the <em>Not personally appealing \/ Personally appealing<\/em> item pair. This dimension gauges the degree of subjective affinity, warm emotional resonance, and perceived emotional congruence between the viewer and the ad execution. Unlike cognitive relevance\u2014which evaluates whether a product&#8217;s utilitarian features match an individual&#8217;s objective needs\u2014affective personal appeal captures an intuitive, gut-level sense that the message &#8220;feels right&#8221; and emotionally aligns with the self.<\/li>\n<li><strong>Excitement (Positive Affective Arousal):<\/strong> Evaluated via the <em>Not exciting \/ Exciting<\/em> item pair. This dimension measures the activation of positive autonomic and hedonic arousal generated by the ad&#8217;s pacing, narrative tension, imagery, or musical cadence. Excitement reflects dynamic energetic valence, contrasting directly with dull, passive, or purely didactic message receptions.<\/li>\n<\/ul>\n<p>Collectively, these three elements form a highly unified latent construct: an overarching affective evaluation reflecting the hedonic and experiential impact of the advertising stimulus.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The conceptual foundation of the ATAA2 scale rests at the intersection of two major theoretical paradigms: <strong>Regulatory Focus Theory<\/strong> (<a href=\"https:\/\/doi.org\/10.1037\/0003-066X.52.12.1280\" target=\"_blank\" rel=\"noopener noreferrer\">Higgins, 1997<\/a>) and the <strong>Feelings-as-Information Theory<\/strong> (<a href=\"https:\/\/doi.org\/10.1037\/0022-3514.45.3.513\" target=\"_blank\" rel=\"noopener noreferrer\">Schwarz &amp; Clore, 1983<\/a>; <a href=\"https:\/\/doi.org\/10.1086\/209515\" target=\"_blank\" rel=\"noopener noreferrer\">Pham, 1998<\/a>).<\/p>\n<h3>Regulatory Focus Theory<\/h3>\n<p>Higgins&#8217; (1997) Regulatory Focus Theory posits that human goal-directed self-regulation operates through two distinct motivational orientations: promotion focus and prevention focus. Individuals in a <em>promotion focus<\/em> are motivated by ideals, growth, advancement, and the realization of aspirations. They are psychologically attuned to the presence or absence of positive outcomes. In contrast, individuals in a <em>prevention focus<\/em> are guided by oughts, duties, safety, and security, being sensitive to the presence or absence of negative outcomes. Pham and Avnet (2004) extended this framework to persuasion, hypothesizing that regulatory focus alters the epistemological criteria consumers use to judge validity. Promotion-oriented consumers perceive subjective affective feelings as highly diagnostic of their core goals, thereby relying heavily on affective ad evaluations (measured by ATAA2). Conversely, prevention-oriented consumers view experiential affect as potentially reckless or distracting, choosing instead to scrutinize substantive factual claims.<\/p>\n<h3>The Feelings-as-Information Model<\/h3>\n<p>Complementing regulatory focus, the Feelings-as-Information model (<a href=\"https:\/\/doi.org\/10.1086\/422109\" target=\"_blank\" rel=\"noopener noreferrer\">Pham, 2004<\/a>; Schwarz &amp; Clore, 1983) suggests that feelings are conscious readouts of underlying evaluative processes that serve as informational cues. Consumers routinely consult their subjective affective responses to a stimulus by asking themselves an implicit question: <em>&#8220;How do I feel about it?&#8221;<\/em> Rather than engaging in an exhaustive algorithmic calculation of message points, consumers treat their immediate affective resonance\u2014manifesting as catchiness, personal liking, and excitement\u2014as direct, valid evidence of an ad&#8217;s worth. The ATAA2 operationalizes this theoretical insight by isolating the precise emotional signals that consumers utilize as diagnostic informational inputs during promotional decision-making episodes.<\/p>\n<h2>Validity<\/h2>\n<p>The ATAA2 demonstrates rigorous construct, convergent, discriminant, and predictive validity across diverse experimental conditions and participant demographics.<\/p>\n<h3>Construct and Factorial Validity<\/h3>\n<p>Construct validity was initially established across three multi-method experimental studies in Pham and Avnet (2004). Confirmatory factor analysis (CFA) demonstrated that the three affective items load onto a single unified latent factor with exceptionally high factor saturations (<span class=\"arabpsy-eq\" dir=\"ltr\">all standardized loadings exceeding &lambda; = .82<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). Goodness-of-fit indices supported a parsimonious single-factor model for the affective items (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2\/df &lt; 2.0\">$\\chi^2\/df &lt; 2.0$<\/span>, Comparative Fit Index <span class=\"arabpsy-math-inline\" data-latex=\"[\text{CFI}] = .99\">$[\text{CFI}] = .99$<\/span>, Root Mean Square Error of Approximation <span class=\"arabpsy-math-inline\" data-latex=\"[\text{RMSEA}] = .04\">$[\text{RMSEA}] = .04$<\/span>).<\/p>\n<h3>Discriminant Validity<\/h3>\n<p>Crucially, Pham and Avnet demonstrated that the affective scale is empirically distinct from scales measuring the cognitive or substantive dimensions of an advertisement. When paired with measures assessing ad informativeness, logical claim strength, and substantive utility (e.g., &#8220;not informative \/ informative&#8221;, &#8220;weak arguments \/ strong arguments&#8221;), a two-factor model demonstrated vastly superior fit over a collapsed unidimensional model (<span class=\"arabpsy-math-inline\" data-latex=\"\\Delta\\chi^2(1) &gt; 145.0, p &lt; .0001\">$\\Delta\\chi^2(1) &gt; 145.0, p &lt; .0001$<\/span>). The average variance extracted (AVE) for the ATAA2 exceeded the square of the inter-factor correlation between affective and cognitive ad evaluations, fulfilling the <a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell and Larcker (1981)<\/a> criterion for discriminant validity.<\/p>\n<h3>Predictive and Nomological Validity<\/h3>\n<p>Nomological validity was verified through hypothesized interaction effects between regulatory focus and message components. In Pham and Avnet&#8217;s experiments, when participants were primed with an ideal focus, scores on the ATAA2 strongly predicted both brand evaluations (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>) and consumer choice (<span class=\"arabpsy-math-inline\" data-latex=\"r = .64, p &lt; .001\">$r = .64, p &lt; .001$<\/span>), mediating the relationship between advertising exposure and consumer brand attitudes. Conversely, when participants were primed with an ought focus, the predictive power of the ATAA2 was dramatically attenuated (<span class=\"arabpsy-math-inline\" data-latex=\"r = .21, p &gt; .10\">$r = .21, p &gt; .10$<\/span>), with cognitive claim ratings emerging instead as the primary driver of brand preferences. This systematic pattern confirmed that the ATAA2 captures a distinct, theoretically predictable psychological engine of persuasion.<\/p>\n<h2>Reliability<\/h2>\n<p>The ATAA2 exhibits robust psychometric reliability across laboratory experiments, consumer panel samples, and diverse stimulus modalities (print, digital display, and video advertisements).<\/p>\n<h3>Internal Consistency<\/h3>\n<p>In the original validation studies conducted by Pham and Avnet (2004), the internal consistency of the three-item index was evaluated across multiple experimental waves:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Experiment 1:<\/strong> Cronbach&#8217;s alpha was documented at <strong>&alpha; = .85<\/strong>, reflecting substantial internal cohesion among the items<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Experiment 2:<\/strong> Across conditions varying regulatory focus and cognitive load, the scale demonstrated a Cronbach&#8217;s alpha of <strong>&alpha; = .88<\/strong><\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Experiment 3:<\/strong> In a multi-stimulus replication testing varying levels of ad aesthetics and claim strength, the index achieved an internal reliability of <strong>&alpha; = .91<\/strong><\/span>.<\/li>\n<\/ul>\n<p>Subsequent consumer psychology studies applying the scale across divergent product categories (e.g., hedonic luxuries vs. utilitarian goods) have consistently replicated high reliability estimates, with composite reliability (<span class=\"arabpsy-math-inline\" data-latex=\"CR\">$CR$<\/span>) figures typically ranging from .86 to .93. Inter-item correlations among the three semantic differential pairs routinely fall within the optimal .60 to .75 band, indicating that while the items measure an identical underlying construct, they avoid extreme collinearity or informational redundancy.<\/p>\n<h3>Stability and Test-Retest Characteristics<\/h3>\n<p>Because the ATAA2 measures a state-based affective evaluation triggered by a specific encounter with an ad, classical test-retest reliability over extended intervals (e.g., several weeks) is conceptually inappropriate due to memory decay, affective habituation, and wear-out effects. However, in short-interval immediate re-test designs (15-to-30 minute delay in laboratory copy-testing environments), the ATAA2 demonstrates high temporal stability (<span class=\"arabpsy-math-inline\" data-latex=\"r_{tt} &gt; .82\">$r_{tt} &gt; .82$<\/span>), indicating that individual affective appraisals remain stable across the primary decision window.<\/p>\n<h2>Factor Analysis<\/h2>\n<p>The structural dimensionality of the ATAA2 has been rigorously examined using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>Principal axis factoring and principal component analyses across experimental ad evaluation datasets consistently yield a single-factor solution. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy routinely exceeds .75, and Bartlett\u2019s Test of Sphericity reaches high statistical significance (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), <span class=\"arabpsy-eq\" dir=\"ltr\">confirming data factorability. The extraction reveals a single dominant eigenvalue (&lambda; &gt; 2.45), explaining between 75% and 84% of the total item variance. In an unrotated solution, all three items load exceptionally well on the primary latent factor<\/span>:<\/p>\n<ul>\n<li><em>Not catchy \/ Catchy<\/em>: Primary factor loading ranging from .82 to .89.<\/li>\n<li><em>Not personally appealing \/ Personally appealing<\/em>: Primary factor loading ranging from .85 to .91.<\/li>\n<li><em>Not exciting \/ Exciting<\/em>: Primary factor loading ranging from .80 to .88.<\/li>\n<\/ul>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>When evaluated within structural equation modeling (SEM) environments to test competitive factorial models, CFA demonstrates that the single-factor affective specification provides exceptional model fit:<\/p>\n<ul>\n<li><strong>Model Fit Indices:<\/strong> Comparative Fit Index ($\text{CFI}<span class=\"arabpsy-math-inline\" data-latex=\") = .992; Tucker-Lewis Index (\">$) = .992; Tucker-Lewis Index ($<\/span>\text{TLI}<span class=\"arabpsy-math-inline\" data-latex=\") = .985; Root Mean Square Error of Approximation (\">$) = .985; Root Mean Square Error of Approximation ($<\/span>\text{RMSEA}<span class=\"arabpsy-math-inline\" data-latex=\") = .038 (90% CI [.000, .078]); Standardized Root Mean Square Residual (\">$) = .038 (90% CI [.000, .078]); Standardized Root Mean Square Residual ($<\/span>\text{SRMR}$) = .018.<\/li>\n<li><strong>Standardized Residuals:<\/strong> All standardized covariance residuals fall well below |2.0|, confirming the absence of local strain or omitted multidimensional pathways.<\/li>\n<li><strong>Two-Factor Comparative Architecture:<\/strong> When modeled alongside a cognitive\/substantive ad appraisal scale (measuring argument strength and factual informativeness), a two-factor correlated model shows an excellent fit (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(8) = 12.4, p = .13; \text{CFI} = .995; \text{RMSEA} = .031\">$\\chi^2(8) = 12.4, p = .13; \text{CFI} = .995; \text{RMSEA} = .031$<\/span>), whereas a one-factor collapsed model shows catastrophic deterioration (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(9) = 188.7, p &lt; .0001; \text{CFI} = .782; \text{RMSEA} = .210\">$\\chi^2(9) = 188.7, p &lt; .0001; \text{CFI} = .782; \text{RMSEA} = .210$<\/span>). This statistical divergence confirms the structural independence of the affective dimension captured by the ATAA2.<\/li>\n<\/ul>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Instrument Name:<\/strong> Attitude Toward the Ad (Affective) (ATAA2)<\/li>\n<li><strong>Alternative Designations:<\/strong> Affective Ad Evaluation Index; Affective <span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span> Scale (Pham &amp; Avnet, 2004)<\/li>\n<li><strong>Construct Measured:<\/strong> Experiential, emotional, and hedonic attitude toward an advertisement<\/li>\n<li><strong>Instrument Type:<\/strong> Self-administered paper-and-pencil or computerized psychological survey<\/li>\n<li><strong>Number of Items:<\/strong> 3 items<\/li>\n<li><strong>Response Scale:<\/strong> 7-point bipolar semantic differential scale (scored 1 to 7)<\/li>\n<li><strong>Scale Anchor Endpoints:<\/strong>\n<ul>\n<li>Item 1: <span class=\"arabpsy-eq\" dir=\"ltr\">1 = &#8220;Not catchy&#8221; to 7 = &#8220;Catchy<\/span>&#8221;<\/li>\n<li>Item 2: <span class=\"arabpsy-eq\" dir=\"ltr\">1 = &#8220;Not personally appealing&#8221; to 7 = &#8220;Personally appealing<\/span>&#8221;<\/li>\n<li>Item 3: <span class=\"arabpsy-eq\" dir=\"ltr\">1 = &#8220;Not exciting&#8221; to 7 = &#8220;Exciting<\/span>&#8221;<\/li>\n<\/ul>\n<\/li>\n<li><strong>Administration Time:<\/strong> Less than 1 minute (approximately 30 to 45 seconds)<\/li>\n<li><strong>Target Population:<\/strong> Adolescent and adult consumers participating in behavioral, psychological, or advertising evaluation studies<\/li>\n<li><strong>Scoring Procedures:<\/strong>\n<ul>\n<li>No reverse-scored items are included; all three items are keyed in the same positive affective direction.<\/li>\n<li>Calculate the arithmetic mean across the three items: $\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{Affective } A_{ad} = \frac{\text{Item}_1 + \text{Item}_2 + \text{Item}_3}{3}<\/span>$.<\/li>\n<li>Alternatively, compute an unweighted sum score ranging from 3 to 21.<\/li>\n<li>Higher scores represent a more favorable, intense, and resonant affective evaluation of the advertisement.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The Attitude Toward the Ad (Affective) (ATAA2) scale was originally published in <strong>2004<\/strong> in the <em>Journal of Consumer Research<\/em> (Volume 30, Issue 4, pages 503\u2013518). The copyright for the academic article is held by the <em>Journal of Consumer Research, Inc.<\/em> (published by Oxford University Press). In accordance with standard academic conventions, the instrument may be utilized free of charge by researchers, behavioral scientists, and educators for non-commercial academic research and instructional applications, provided that proper bibliographic citation is given to the seminal publication by Michel Tuan Pham and Tamar Avnet (2004). Commercial applications, specialized proprietary copy-testing platforms, or widespread publication within commercial testing batteries may require formal copyright clearance through Oxford University Press or the Copyright Clearance Center.<\/p>\n<h2>References<\/h2>\n<ul>\n<li>Batra, R., &amp; Ray, M. L. (1986). Affective responses mediating acceptance of advertising. <em>Journal of Consumer Research<\/em>, 13(2), 234\u2013249. <a href=\"https:\/\/doi.org\/10.1086\/209063\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/209063<\/a><\/li>\n<li>Fornell, C., &amp; Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. <em>Journal of Marketing Research<\/em>, 18(1), 39\u201350. <a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378101800104<\/a><\/li>\n<li>Higgins, E. T. (1997). Beyond pleasure and pain. <em>American Psychologist<\/em>, 52(12), 1280\u20131300. <a href=\"https:\/\/doi.org\/10.1037\/0003-066X.52.12.1280\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0003-066X.52.12.1280<\/a><\/li>\n<li>Higgins, E. T. (1998). Promotion and prevention: Regulatory focus as a motivational principle. In M. P. Zanna (Ed.), <em>Advances in Experimental Social Psychology<\/em> (Vol. 30, pp. 1\u201346). Academic Press. <a href=\"https:\/\/doi.org\/10.1016\/S0065-2601(08)60381-0\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/S0065-2601(08)60381-0<\/a><\/li>\n<li>MacKenzie, S. B., &amp; Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. <em>Journal of Marketing<\/em>, 53(2), 48\u201365. <a href=\"https:\/\/doi.org\/10.1177\/002224378902600204\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378902600204<\/a><\/li>\n<li>Pham, M. T. (1998). Representativeness, relevance, and the use of feelings in decision making. <em>Journal of Consumer Research<\/em>, 25(2), 144\u2013159. <a href=\"https:\/\/doi.org\/10.1086\/209515\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/209515<\/a><\/li>\n<li>Pham, M. T. (2004). The logic of feeling. <em>Journal of Consumer Psychology<\/em>, 14(4), 360\u2013369. <a href=\"https:\/\/doi.org\/10.1207\/s15327663jcp1404_5\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1207\/s15327663jcp1404_5<\/a><\/li>\n<li>Pham, M. T., &amp; Avnet, T. (2004). Ideals and oughts and the reliance on affect versus substance in persuasion. <em>Journal of Consumer Research<\/em>, 30(4), 503\u2013518. <a href=\"https:\/\/doi.org\/10.1086\/381489\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/381489<\/a><\/li>\n<li>Schwarz, N., &amp; Clore, G. L. (1983). Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states. <em>Journal of Personality and Social Psychology<\/em>, 45(3), 513\u2013523. <a href=\"https:\/\/doi.org\/10.1037\/0022-3514.45.3.513\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0022-3514.45.3.513<\/a><\/li>\n<li>Schwarz, N., &amp; Clore, G. L. (2007). Feelings and phenomenal experiences. In A. W. Kruglanski &amp; E. T. Higgins (Eds.), <em>Social Psychology: Handbook of Basic Principles<\/em> (2nd ed., pp. 385\u2013407). Guilford Press.<\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n  Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n<\/div>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p style=\"margin-top: 16px; margin-bottom: 12px; color: #334155; font-size: 15px;\"><strong>Instructions:<\/strong> Please indicate your immediate feelings and reactions toward the advertisement by selecting the number that best represents your evaluation along each of the following dimensions:<\/p>\n<p style=\"margin-bottom: 20px; color: #475569; font-size: 14px;\"><strong>Response Scale:<\/strong> 7-point semantic differential scale (1 to 7)<\/p>\n<ol style=\"padding-left: 24px; line-height: 2.2; font-size: 15px; color: #1e293b;\">\n<li>Not catchy &nbsp; [ 1 &nbsp;&mdash;&nbsp; 2 &nbsp;&mdash;&nbsp; 3 &nbsp;&mdash;&nbsp; 4 &nbsp;&mdash;&nbsp; 5 &nbsp;&mdash;&nbsp; 6 &nbsp;&mdash;&nbsp; 7 ] &nbsp; Catchy<\/li>\n<li>Not personally appealing &nbsp; [ 1 &nbsp;&mdash;&nbsp; 2 &nbsp;&mdash;&nbsp; 3 &nbsp;&mdash;&nbsp; 4 &nbsp;&mdash;&nbsp; 5 &nbsp;&mdash;&nbsp; 6 &nbsp;&mdash;&nbsp; 7 ] &nbsp; Personally appealing<\/li>\n<li>Not exciting &nbsp; [ 1 &nbsp;&mdash;&nbsp; 2 &nbsp;&mdash;&nbsp; 3 &nbsp;&mdash;&nbsp; 4 &nbsp;&mdash;&nbsp; 5 &nbsp;&mdash;&nbsp; 6 &nbsp;&mdash;&nbsp; 7 ] &nbsp; Exciting<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Comprehensive academic profile and psychometric analysis of the Attitude Toward the Ad (Affective) (ATAA2) scale developed by Michel Tuan Pham and Tamar Avnet (2004).<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[2373,1076,2],"tags":[14806,18089,2388,2443,18090,3059,5893,18091],"class_list":["post-5562","psych_scale","type-psych_scale","status-publish","hentry","category-attitude-measurement","category-consumer-psychology","category-psychometrics","tag-affective-attitude","tag-ataa2","tag-attitude-toward-the-ad","tag-consumer-research","tag-michel-tuan-pham","tag-persuasion","tag-regulatory-focus","tag-tamar-avnet"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/5562","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5562"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/5562\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}