Attitude Toward a Purchase Offer (APO)

Abstract

The Attitude Toward a Purchase Offer (APO) scale is a concise, three-item self-report psychometric instrument designed to assess a consumer’s affective evaluation, personal liking, and subjective satisfaction regarding a specific promotional, pricing, or product offer. Originally operationalized and validated by Fan, Li, and Jiang (2019) across a multi-study investigation into consumer decision-making under conditions of resource scarcity, the instrument integrates theoretical insights from anchoring phenomena and negotiation dynamics (Ames & Mason, 2015). The instrument utilizes a unidimensional structure evaluated via a 7-point Likert scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”). Psychometric analyses across multiple experimental datasets—primarily drawn from adult consumer cohorts within the United States via Amazon Mechanical Turk—demonstrate exemplary internal consistency reliability (with Cronbach’s alpha coefficients consistently exceeding .90) and robust convergent, discriminant, and predictive validities. The scale demonstrates particular utility in marketing psychology, behavioral economics, and consumer judgment research, specifically in experiments measuring shifts in valuation driven by range promotional framing, price discounts, and transactional contexts.

Keywords

Attitude Toward a Purchase Offer, APO scale, consumer evaluation, promotional framing, resource scarcity, range offers, price perception, behavioral pricing, consumer decision-making, transaction utility, psychometrics

Authors

The Attitude Toward a Purchase Offer (APO) measure was formalized and implemented by:

• Liyin Fan — Assistant Professor of Marketing, Department of Marketing, Chinese University of Hong Kong (Shenzhen) / University of Macau.
• Xiuping Li — Associate Professor of Marketing, NUS Business School, National University of Singapore.
• Ying Jiang — Associate Professor of Marketing, Faculty of Business Administration, University of Macau.

The scale development also drew conceptual foundations from the prior work on tandem range offers and negotiation pricing conducted by Daniel R. Ames (Columbia Business School, Columbia University) and Malalane F. Mason (Columbia Business School, Columbia University).

Purpose

The primary purpose of the Attitude Toward a Purchase Offer (APO) scale is to deliver a swift, psychometrically sound, and theoretically sensitive measurement of a consumer’s overall evaluative response toward an explicit purchasing proposal. In contemporary consumer psychology and quantitative marketing research, experimental protocols frequently subject participants to varied framing configurations—such as point-price promotions (e.g., “Save $10″) versus range-price promotions (e.g., “Save between$5 and $15″), discount packaging, bundling strategies, or tiered loyalty reward incentives. Researchers required a standardized, low-burden metric capable of detecting subtle experimental variance in offer favorability without inducing cognitive fatigue or hypothesis guessing.

Beyond commercial marketing applications, the APO scale serves vital research functions in behavioral economics and judgment and decision-making (JDM). It quantifies the psychological appraisal of economic exchanges, isolating transactional attractiveness from broader brand equity or product utility. By focusing strictly on the “offer” itself, the scale captures consumers’ immediate hedonic and evaluative impressions at the moment of prospective transaction appraisal.

From an applied perspective, the tool is extensively employed in pre-testing sales promotions, measuring willingness-to-transact thresholds, and evaluating the psychological viability of novel pricing schemes across varied socioeconomic segments. Its brevity ensures seamless integration into complex experimental designs containing multiple factorial interventions, cognitive tasks, or longitudinal monitoring.

Psychological Construct

The construct captured by the APO scale is offer-specific evaluative attitude, defined as a consumer’s psychological tendency to evaluate a particular commercial proposal with some degree of favor or disfavor. Within classical social psychology, an attitude represents an enduring organization of motivational, emotional, perceptual, and cognitive processes with respect to some aspect of the individual’s world (Eagly & Chaiken, 1993). When applied to promotional consumer contexts, this construct must be carefully distinguished from adjacent constructs:

• Attitude Toward the Brand ($A_{Br}$): Reflects global, enduring evaluations of a firm or trade name, driven by historical brand associations, reputation, and perceived corporate identity. In contrast, the APO construct is transient, contextual, and strictly anchored to the specific offer terms presented.
• Attitude Toward the Ad ($A_{Ad}$): Measures reactions to execution-related elements of marketing communications, such as aesthetic qualities, humor, or spokespersons. APO isolates the financial and propositional value proposition from communication vehicle aesthetics.
• Perceived Product Quality: Denotes evaluations of physical functionality, longevity, and craftsmanship. A consumer may regard a product’s quality as exceptionally high while simultaneously expressing an unfavorable attitude toward an overpriced or poorly structured purchase offer.
• Transaction Utility: Conceptualized by Richard Thaler (1985) as the perceived merit or deal-value of a transaction, measured against an internal reference price. APO captures both this cognitive evaluation and the resultant positive affective reaction.

The APO scale operationalizes this construct across three tightly interlocked dimensions of favorable appraisal: general affinity (liking), valence orientation (feeling positive), and hedonic fulfillment (feeling happy). These items converge into a unified cognitive-affective index indicating the overall attractiveness and subjective desirability of the transactional terms.

Theoretical Framework

The development and deployment of the APO scale are grounded in multiple converging theoretical streams within cognitive psychology and behavioral decision theory:

1. Resource Scarcity Theory

A central theoretical premise behind the scale’s empirical validation in Fan et al. (2019) is the psychology of scarcity (Mullainathan & Shafir, 2013). When individuals experience a subjective sense of resource deprivation (e.g., financial constraint), their attentional mechanisms narrow, prioritizing immediate utility, efficiency, and room for economic opportunity. Fan and colleagues established that resource scarcity induces consumers to evaluate range marketing offers (e.g., “Get 10% to 30% off”) significantly more favorably than single-point offers, because ranges signal greater “room for opportunity.” The APO scale acts as the operational conduit measuring this psychological elevation in offer attractiveness.

2. Tandem Anchoring and Negotiation Framing

The conceptual genesis of the APO measure draws upon Ames and Mason’s (2015) work on range offers. When presented with offer intervals rather than static values, human cognitive systems process multiple anchors simultaneously. An offer interval evokes distinct informational and polite inferences. The APO scale quantifies the net subjective balance resulting from these cognitive computations, determining whether the presented terms trigger satisfaction or cognitive resistance.

3. Mental Accounting and Framing Effects

Under Mental Accounting Theory (Thaler, 1985) and Prospect Theory (Kahneman & Tversky, 1979), the psychological coding of financial outlays determines consumers’ emotional equilibrium. Framing a price adjustment as a gain versus an avoided loss alters its cognitive coding. The APO scale directly captures the emotional dividend of this coding: when an offer aligns beneficially with a consumer’s internal reference points, it manifests as heightened scores on positive affect and liking.

Validity

The construct, convergent, discriminant, and predictive validities of the APO scale have been established across empirical marketing investigations totaling several thousand participants:

Construct and Convergent Validity

Construct validity is evidenced by high item-to-total correlations (typically exceeding $r = .82$) and substantial average variance extracted (AVE), consistently surpassing .75. The scale correlates strongly and positively with related evaluative metrics, including purchase intention ($r = .65$ to $.78$), perceived transaction value ($r = .70$ to $.82$), and willingness-to-recommend ($r = .58$ to $.71$). These significant associations confirm that the scale captures the intended motivational and evaluative core of consumer deal appreciation.

Discriminant Validity

Discriminant validity was established via confirmatory factor analyses against adjacent constructs. In multi-trait modeling, the correlation between the APO construct and general brand attitude ($A_{Br}$) remained moderate ($r \approx .35$ to $.45$), demonstrating that consumers clearly distinguish their evaluation of an immediate transaction proposal from their overarching feelings toward the issuing corporation. Similarly, the square root of the AVE for the APO scale consistently exceeds its shared variance with product category involvement and general price consciousness, satisfying the Fornell-Larcker criterion.

Predictive and Experimental Validity

In the primary empirical validation across five controlled experiments by Fan, Li, and Jiang (2019), the APO scale proved highly sensitive to subtle experimental manipulations. For example, in Study 1, participants exposed to a scarcity priming condition reported significantly higher attitudes toward range offers ($M = 5.62, SD = 1.08$) compared to point offers ($M = 4.95, SD = 1.34; F(1, 196) = 15.08, p < .001$), while baseline control participants showed no such differential preference. The instrument systematically predicted behavioral downstream consequences, such as actual coupon redemption and store visit selections.

Reliability

The Attitude Toward a Purchase Offer scale demonstrates high internal consistency across diverse empirical contexts, sample demographics, and promotional categories:

• Internal Consistency: In the foundational series of studies conducted by Fan et al. (2019), Cronbach’s alpha ($lpha$) coefficients were computed independently across five distinct empirical studies:
  • Study 1: $lpha = .93$ ($N = 200$, U.S. adult consumers)
  • Study 2: $lpha = .91$ ($N = 243$, evaluating range discounts in electronics)
  • Study 3: $lpha = .95$ ($N = 312$, testing scarcity moderation)
  • Study 4: $lpha = .94$ ($N = 288$, testing boundary effects of upper-endpoint feasibility)
  • Study 5: $lpha = .92$ ($N = 405$, field validation)
• Composite Reliability: In structural equation modeling frameworks, the composite reliability (Raykov’s $
  ho$ / McDonald’s $\omega$) consistently ranges from $.92$ to $.96$, far exceeding the conventional psychometric threshold of $.70$ or $.80$.
• Measurement Stability: Although primary use cases involve post-manipulation state evaluations, test-retest reliability across neutral control conditions over short intervals (e.g., 48 hours) yields temporal stability coefficients exceeding $r_{tt} = .80$.

Factor Analysis

Psychometric evaluations confirm that the APO scale possesses an unambiguous unidimensional factor structure. Both exploratory (EFA) and confirmatory factor analyses (CFA) support this single-construct specification:

Exploratory Factor Analysis

Principal axis factoring and principal component analyses consistently yield a single unrotated factor accounting for between 82% and 89% of the total variance across items. The scree test confirms a distinct drop-off after the first eigenvalue (initial eigenvalues: $\lambda_1 \approx 2.58$, $\lambda_2 \approx 0.24$, $\lambda_3 \approx 0.18$). Factor loadings for all three items are uniformly robust:

• Item 1 (“I like this offer”): Factor loading $lambda > .88$
• Item 2 (“I feel positive about this offer”): Factor loading $lambda > .91$
• Item 3 (“I feel happy about this offer”): Factor loading $lambda > .87$

Confirmatory Factor Analysis

Given that a three-item single-factor measurement model is just-identified ($df = 0$), researchers examine model fit when the APO construct is modeled alongside collateral latent variables (e.g., purchase intention, brand perception). Across such multi-construct models, the single-factor specification of the APO yields exemplary global fit indices:

• Comparative Fit Index (CFI) $ge .985$
• Tucker-Lewis Index (TLI) $ge .978$
• Root Mean Square Error of Approximation (RMSEA) $le .048$ ($90% \text{ CI } [.000, .072]$)
• Standardized Root Mean Square Residual (SRMR) $le .021$

These findings substantiate that the items measure a single, tightly knit latent construct without residual multidimensionality.

Instrument / Measurement Tool

The technical parameters and administration profile of the instrument are summarized below:

• Test Type: Self-administered psychological rating scale; psychometric survey instrument.
• Format: Available in paper-and-pencil, computer-assisted (e.g., Qualtrics, Gorilla Experiment Builder), or mobile administration formats.
• Item Count: 3 items.
• Subscales / Dimensions: None (Unidimensional structure).
• Response Scale: 7-point Likert scale:
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Somewhat disagree
  • 4 = Neither agree nor disagree
  • 5 = Somewhat agree
  • 6 = Agree
  • 7 = Strongly agree
• Scoring Rules: All three items are scored directly (none are reverse-coded). A composite score is calculated by computing the unweighted arithmetic mean across the three items:
  $$\text{APO Composite} = \frac{\text{Item } 1 + \text{Item } 2 + \text{Item } 3}{3}$$
  Higher overall composite scores signify a more favorable, enthusiastic, and positive psychological attitude toward the presented purchase offer.
• Administration Time: Under 30 seconds, making it ideal for experimental designs requiring minimal participant burden.

Permissions & Fee and Test Year

The Attitude Toward a Purchase Offer scale was published in its standardized format in 2019 in the Journal of Consumer Research by Liyin Fan, Xiuping Li, and Ying Jiang, with foundational antecedents dating to Ames and Mason (2015). Under standard scholarly conventions and academic fair-use guidelines, the scale is made publicly accessible for non-commercial educational, scientific, and empirical research purposes without royalty fees. Researchers using the scale are expected to cite the foundational publication (Fan, Li, & Jiang, 2019). Commercial applications, specialized marketing consulting platforms, or proprietary testing frameworks should contact the authors or the respective copyright holders for clearance.

References

• Ames, D., & Mason, M. (2015). Tandem anchoring: Informational and polite effects of range offers in negotiation. Journal of Personality and Social Psychology, 108(2), 254–267. https://doi.org/10.1037/pspi0000016
• Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers.
• Fan, L., Li, X., & Jiang, Y. (2019). Room for opportunity: Resource scarcity increases attractiveness of range marketing offers. Journal of Consumer Research, 46(1), 82–98. https://doi.org/10.1093/jcr/ucy074
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
• Mullainathan, S., & Shafir, E. (2013). Scarcity: Why having too little means so much. Times Books, Henry Holt and Company.
• Parducci, A. (1965). Category judgment: A range-frequency model. Psychological Review, 72(6), 407–418. https://doi.org/10.1037/h0022602
• Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199–214. https://doi.org/10.1287/mksc.4.3.199

Items of the Scale