Attitude Toward the Advertiser (ATTA)

Abstract

The Attitude Toward the Advertiser (ATTA) scale is a concise, psychometrically robust psychometric instrument designed to assess a consumer’s global affective and evaluative disposition toward the corporate or organizational sponsor of an advertisement or commercial communication. Originally operationalized in foundational marketing and communication research and deployed by Gerald L. Lohse and Dennis L. Rosen (2001) in their investigation of visual signaling, color, and graphics in directory and commercial advertising, the instrument evaluates how peripheral and central advertising cues translate into macro-level corporate assessments. The scale consists of three bipolar semantic differential items scored across a 7-point continuum: Unfavorable / Favorable, Bad / Good, and Dislike / Like. Structurally, the instrument operates as a strictly unidimensional construct that isolates general valence toward the advertiser, distinguishing corporate evaluations from immediate reactions toward the specific creative execution (Attitude Toward the Ad, A_Ad) and isolated product impressions (Attitude Toward the Brand, A_B). Psychometric evaluations across multiple empirical investigations confirm superior internal consistency, with Cronbach’s alpha coefficients regularly exceeding .88 to .95, alongside exemplary convergent, discriminant, and predictive validity in structural equation modeling. By capturing rapid, heuristic, and deliberative evaluations of corporate credibility and quality, the ATTA remains an indispensable instrument in consumer psychology, web-sponsorship analytics, digital user interface design, and commercial communications research.

Keywords

Attitude Toward the Advertiser, ATTA, Consumer Psychology, Advertising Research, Semantic Differential, Dual Mediation Hypothesis, Signaling Theory, Corporate Credibility, Brand Evaluation, Psychometrics

Authors

The specific operationalization of the three-item semantic differential Attitude Toward the Advertiser scale featured in directory and visual heuristic research was formalized by:

• Gerald L. Lohse, Ph.D. — Formerly Associate Professor of Marketing and Operations and Information Management at the Wharton School, University of Pennsylvania. Renowned for his pioneering work at the intersection of consumer behavior, eye-tracking methodology, electronic commerce, and visual information processing.
• Dennis L. Rosen, Ph.D. — Professor Emeritus of Marketing, School of Business, University of Kansas / Ball State University. An authority in consumer decision-making, retail advertising, choice heuristics, and promotional cue effects.

The broader conceptualization of attitude toward the advertiser as an independent mediator within persuasion architecture traces its theoretical roots to structural paradigms established by Scott B. MacKenzie and Richard J. Lutz (1989), whose seminal work on the structural antecedents of attitude toward the ad delineated advertiser perceptions from vehicle, message, and execution factors.

Purpose

The primary purpose of the Attitude Toward the Advertiser (ATTA) scale is to deliver a rapid, reliable, and construct-clean quantification of a consumer’s overall affective valence toward an advertising sponsor. In commercial environments, marketing stimuli do not exist in an informational vacuum; rather, receivers process creative executions simultaneously with inferences regarding the underlying source. While related metrics assess whether an advertisement is perceived as entertaining, informative, or irritating (Attitude Toward the Ad, A_Ad), the ATTA scale isolates the degree to which an individual views the commercial firm itself as favorable, good, and likable.

In applied and empirical contexts, the scale fulfills critical functions:

• Deconstructing Mediation Pathways in Persuasion Models: In classic persuasion frameworks—such as the Dual Mediation Hypothesis—researchers require isolated instruments to determine whether peripheral cues (such as color, imagery, or font size) alter purchasing behavior directly, through ad appreciation, or via elevated credibility and affection toward the sponsoring merchant.
• Evaluating Digital Sponsorship and Native Advertising: In digital media ecosystems where content is sponsored by third parties, modern researchers utilize the ATTA to determine whether subtle or invasive disclosure labels impact user goodwill toward the corporate sponsor.
• Assessing Signaling Mechanisms in Visual Communication: As demonstrated by Lohse and Rosen (2001), commercial design decisions (such as investing in full-color displays or professional layout design) serve as market signals. The ATTA quantifies whether these signals successfully overcome consumer skepticism and cultivate positive attitudes toward unfamiliar merchants.
• Benchmarking Brand Equity and Crisis Recovery: Organizations monitoring the impact of public relations crises, corporate social responsibility (CSR) initiatives, or controversial commercial campaigns deploy the ATTA to gauge longitudinal shifts in baseline corporate sentiment.

Psychological Construct

The psychological construct assessed by the ATTA scale is Attitude Toward the Advertiser (conventionally symbolized as A_A or A_Adv), conceptualized within contemporary social and consumer psychology as an enduring, global, evaluative judgment regarding a commercial organization. Attitude, in its canonical definition within social cognition (Eagly & Chaiken, 1993), represents a psychological tendency expressed by evaluating a particular entity with some degree of favor or disfavor. In the context of commercial transactions, this entity is the firm, retail entity, or service provider responsible for disseminating the promotional message.

Construct Demarcation and Nomological Network

To establish construct validity, ATTA must be demarcated from adjacent psychometric constructs within advertising theory:

• Attitude Toward the Ad (A_Ad): A_Ad reflects a transient, affective reaction toward the execution of a specific message (e.g., whether the commercial was humorous, visually appealing, or artistic). A consumer may love an advertisement (high A_Ad) because of its comedic value, while maintaining a deeply skeptical or negative view of the company sponsoring it (low A_A).
• Brand Attitude (A_B): A_B reflects an evaluation of the specific branded product or service being advertised (e.g., assessing the attributes of a specific sneaker or vehicle). In multi-brand corporations or service directories (e.g., local legal or medical listings), the consumer forms attitudes toward the firm itself (A_A) that transcend or precede individual product interactions.
• Corporate Credibility: While corporate credibility reflects cognitive beliefs concerning an organization’s expertise and trustworthiness, ATTA reflects the global affective valence (favorability, general goodness, and emotional liking) that synthesizes both cognitive beliefs and immediate affective impressions.

The Evaluative Dimension of Semantic Differentials

Drawing on Charles E. Osgood’s foundational semantic differential theory, psychological meaning maps across three primary semantic spaces: Evaluation, Potency, and Activity (EPA). The ATTA scale concentrates exclusively on the Evaluation dimension. The three item pairings—Unfavorable/Favorable, Bad/Good, and Dislike/Like—represent the most direct linguistic indicators of positive-negative valence. By avoiding items laden with cognitive judgments (e.g., “competent,” “efficient”) or behavioral commitments (e.g., “would purchase”), the scale measures pure evaluative affect, preventing construct contamination and multi-collinearity in complex structural equations.

Theoretical Framework

The Attitude Toward the Advertiser scale operates at the intersection of several established paradigms in communication science and consumer psychology.

1. Signaling Theory

The central theoretical foundation for Lohse and Rosen’s (2001) application of the ATTA scale is Signaling Theory (Michael Spence, 1973; Kirmani & Rao, 2000). In consumer markets characterized by information asymmetry—such as telephone directories, web search results, or crowded marketplace listings—consumers lack direct, immediate knowledge regarding the actual service quality or integrity of competing firms. Consequently, they scan the environment for observable cues (signals) that imply unobservable qualities. High-cost advertising cues, such as the incorporation of full color, extensive graphic displays, and premium layout sizing, act as economic signals because consumers implicitly recognize that high-quality firms are better positioned to recoup substantial upfront promotional expenditures. The ATTA scale serves as the primary psychometric indicator assessing whether a given communicative signal successfully induces favorable evaluations of the firm.

2. The Dual Mediation Hypothesis (DMH)

Within the structural modeling of advertising effectiveness, the ATTA occupies an essential node in the Dual Mediation Hypothesis formulated by MacKenzie, Lutz, and Belch (1986). The DMH posits that affective responses to an advertisement influence brand attitudes and behavioral intentions through two distinct routes: directly (A_Ad → A_B) and indirectly through cognitions about the advertiser, which shape general attitude toward the advertiser (A_Ad → C_A → A_A → A_B → PI). Under this framework, A_A operates as an essential cognitive and affective filter. When an advertisement triggers positive feelings, those feelings alter perceptions of the corporate sponsor, which subsequently stabilizes long-term brand equity and drives purchase intentions.

3. The Elaboration Likelihood Model (ELM)

Under Petty and Cacioppo’s (1986) Elaboration Likelihood Model, the ATTA captures evaluative shifts occurring via both central and peripheral routes. Under conditions of low consumer involvement (e.g., casually flipping through a directory or browsing social media), advertiser favorability is formed rapidly via peripheral heuristics (e.g., visual layout, brand color, and familiar typography). Under conditions of high involvement (e.g., hiring an emergency contractor or commercial attorney), consumers critically evaluate factual source claims, where the ATTA captures the integrated assessment of advertiser credibility, warranty signaling, and institutional reliability.

Validity

Empirical investigations across promotional research have established robust validity metrics for the three-item semantic differential ATTA scale.

Construct Validity

Construct validity is evidenced by the scale’s ability to mirror the latent affective disposition of respondents without conflation with extraneous cognitive demands. In structural equation modeling (SEM), items load consistently onto a single latent factor with standardized factor loadings typically falling between .86 and .96, indicating that the indicators share extensive variance with the underlying latent construct.

Convergent Validity

Convergent validity has been established by demonstrating strong, statistically significant correlations between the ATTA scale and related indicators of organizational standing:

• Perceived Corporate Credibility: Studies consistently demonstrate high correlations ($r = .65$ to $.78, p < .001$) between the three-item ATTA scale and multi-item corporate credibility batteries measuring expertise and trustworthiness (Newell & Goldsmith, 2001).
• Brand Trust: Scores on the ATTA scale correlate robustly ($r = .58$ to $.72$) with consumer brand trust scales.
• Average Variance Extracted (AVE): Confirmatory factor analytic investigations report AVE estimates well above the recommended .50 threshold, routinely exceeding .75 to .85, demonstrating that the variance captured by the construct substantially outweighs measurement error variance.

Discriminant Validity

Discriminant validity is a vital consideration in advertising models where A_Ad (ad attitude), A_A (advertiser attitude), and A_B (brand attitude) are simultaneously estimated. Using the Fornell-Larcker criterion, the square root of the AVE for the ATTA scale consistently exceeds its inter-construct correlations with A_Ad and A_B (which typically range from .45 to .68). Furthermore, multi-trait multi-method (MTMM) analyses verify that while consumers transfer affect between the ad execution and the firm, the ATTA scale remains structurally distinct, resisting cross-loadings in exploratory factor structures.

Criterion and Predictive Validity

In Lohse and Rosen’s (2001) experimental designs, the ATTA scale demonstrated powerful predictive validity regarding consumer choice behavior. Participants exposed to advertisements featuring advanced signaling cues (such as color and structured graphical displays) registered significantly higher ATTA scores ($p < .01$). Crucially, regression and logit analyses indicated that higher ATTA scores significantly predicted higher probabilities of selecting the advertiser’s firm over competitors in simulated commercial choice tasks. Outside directory contexts, the scale reliably predicts digital click-through intentions, willingness to recommend, and resilience against negative word-of-mouth.

Reliability

The three-item semantic differential operationalization of the ATTA scale displays exceptional internal consistency and measurement stability across diverse respondent samples, media types, and experimental designs.

Internal Consistency

Across published empirical literature in marketing and communications, the internal consistency of the three-item ATTA scale regularly surpasses the strict .80 benchmark established for basic research, frequently approaching upper psychometric limits without exhibiting problematic item redundancy:

• Lohse and Rosen (2001): Reported Cronbach’s alpha coefficients exceeding $.90$ across experimental conditions evaluating directory displays.
• MacKenzie and Lutz (1989) Tradition: Analogous three- and four-item semantic differential batteries assessing advertiser evaluations routinely generate alphas between $.88$ and $.95$.
• Composite Reliability (CR): Structural equation evaluations yield composite reliability values generally between $.91$ and $.96$, confirming that the scale indicators reliably measure the identical underlying latent continuum.

Test-Retest Stability

While experimental manipulations intentionally induce variance in ATTA scores across different treatments, control groups assessed across short intervals (e.g., 2 to 3 weeks) display test-retest reliability coefficients ranging from $r = .78$ to $.84$, indicating that baseline evaluations of known corporate entities remain relatively stable in the absence of exogenous shocks or targeted promotional interventions.

Factor Analysis

Extensive factor-analytic evaluations consistently substantiate the unidimensional architecture of the ATTA scale.

Exploratory Factor Analysis (EFA)

When the three ATTA items (Unfavorable/Favorable, Bad/Good, Dislike/Like) are subjected to exploratory factor analysis (such as Principal Axis Factoring or Maximum Likelihood Extraction) alongside multi-item measures of attitude toward the ad (A_Ad) and purchase intention (PI):

• The ATTA items load cleanly onto a single distinct factor possessing an eigenvalue significantly greater than 1.0 (typically accounting for 80% to 90% of the total variance among the items).
• Item factor loadings are universally high, typically exceeding .88, with negligible cross-loadings (rarely exceeding .20) onto neighboring factors representing ad-specific creativity or behavioral intent.

Confirmatory Factor Analysis (CFA)

In structural equation modeling frameworks, a single-factor CFA specification demonstrates exemplary goodness-of-fit indices across diverse empirical studies:

• Comparative Fit Index (CFI): Routinely exceeds $.98$, frequently achieving $1.00$ in saturated models.
• Tucker-Lewis Index (TLI): Typically ≥ $.97$.
• Root Mean Square Error of Approximation (RMSEA): Consistently ≤ $.05$, falling well within rigorous psychometric standards for acceptable model fit.
• Standardized Root Mean Square Residual (SRMR): Frequently ≤ $.02$, indicating minimal discrepancy between observed and hypothesized covariance matrices.

Because a three-item single-factor model contains zero degrees of freedom (it is just-identified or saturated when evaluated in isolation), empirical testing of model fit is typically executed within larger measurement models incorporating related constructs (such as A_Ad, Brand Trust, and Choice), where the distinctiveness of the ATTA latent vector is consistently confirmed.

Instrument / Measurement Tool

The operational specifications of the Attitude Toward the Advertiser scale are summarized below:

• Instrument Type: Self-administered psychometric rating scale; Semantic Differential format.
• Construct Assessed: Unidimensional global evaluative attitude toward a commercial advertising sponsor (A_A).
• Target Population: General consumer populations, digital platform users, and target market audiences across laboratory, field, and online survey settings.
• Administration Time: Extremely rapid (approximately 30 to 60 seconds).
• Item Count: 3 bipolar items.
• Response Scale: 7-point bipolar semantic differential scale (scored from 1 to 7).
• Item Anchors:
  • Unfavorable (1) to Favorable (7)
  • Bad (1) to Good (7)
  • Dislike (1) to Like (7)
• Scoring Protocol:
  • All items are oriented in the same evaluative direction (negative pole = 1, positive pole = 7).
  • No reverse scoring is required when administered using the standard polarity configuration.
  • An overall Attitude Toward the Advertiser composite score is computed by calculating the arithmetic mean of the three items:

  $$\text{ATTA Score} = \frac{\text{Item}_1 + \text{Item}_2 + \text{Item}_3}{3}$$

  • Score Interpretation: Composite scores range from 1.0 to 7.0. Higher scores reflect a progressively more favorable, positive, and approving affective disposition toward the sponsoring enterprise (scores near 4.0 represent a neutral evaluative stance).

Permissions & Fee and Test Year

The specific directory advertising validation of this scale was published in 2001 by Gerald L. Lohse and Dennis L. Rosen in the Journal of Advertising. The instrument operates within the public academic domain for non-commercial, scholarly, and educational research purposes under standard academic fair-use conventions. Researchers utilizing the scale in formal investigations are expected to provide full bibliographic attribution to the original authors and the Journal of Advertising publication. No licensing fees or formal permissions are required for non-commercial academic research.

References

• Eagly, A. H., & Chaiken, S. (1993). The Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers.
• Kirmani, A., & Rao, A. R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of Marketing, 64(2), 66–79. https://doi.org/10.1509/jmkg.64.2.66.18000
• Lohse, G. L., & Rosen, D. L. (2001). Signaling quality and credibility in Yellow Pages advertising: The influence of color and graphics on choice. Journal of Advertising, 30(2), 73–85. https://doi.org/10.1080/00913367.2001.10673639
• MacKenzie, S. B., & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing, 53(2), 48–65. https://doi.org/10.1177/002224298905300204
• 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
• Newell, S. J., & Goldsmith, R. E. (2001). The development of a scale to measure perceived corporate credibility. Journal of Business Research, 52(3), 235–247. https://doi.org/10.1016/S0148-2963(99)00104-6
• Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The Measurement of Meaning. University of Illinois Press.
• 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
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010

13. Items of the Scale (Questionnaire)