Attitude Toward a Low Price Guarantee (Information Focus) (ALPGI)

Abstract

The Attitude Toward a Low Price Guarantee (Information Focus) (ALPGI) scale is a specialized psychometric instrument developed by Dhruv Grewal, Sujay Dutta, and Abhijit Biswas (2011) to capture consumer interpretations of retail price-matching and low-price guarantees (LPGs). Within marketing and consumer psychology, retailers routinely implement low-price guarantees as competitive promotional mechanisms. However, consumers process these market signals through divergent cognitive frames. The ALPGI specifically measures an information-focused orientation—the degree to which an individual perceives an LPG as a credible, diagnostic market signal indicating that the retailer genuinely offers the lowest prices across its assortment. This contrasts with a protection-focused orientation, which frames the guarantee as an ex-post compensatory insurance mechanism designed to refund price discrepancies. Composed of three carefully calibrated items assessed on a 7-point Likert scale, the ALPGI offers a parsimonious yet methodologically rigorous measurement model. Empirical testing across consumer samples has demonstrated excellent psychometric integrity, featuring high internal consistency (Cronbach's alpha typically ranging between .85 and .91), clear unidimensionality via confirmatory factor analysis, and robust discriminant validity from companion constructs such as postpurchase regret, deal proneness, and defensive price protection beliefs. The scale is widely used in behavioral pricing research, retail strategy evaluation, and models of consumer cognitive appraisal.

Keywords

Attitude Toward a Low Price Guarantee, ALPGI, Information Focus, Price-Matching Guarantees, Signaling Theory, Retail Pricing, Consumer Psychology, Postpurchase Regret, Perceived Price Competitiveness, Psychometrics

Authors

The ALPGI scale was authored by an established team of researchers in consumer behavior and pricing strategy:

• Sujay Dutta, Ph.D. — Professor of Marketing, Mike Ilitch School of Business, Wayne State University. Dr. Dutta's research focuses on consumer behavioral decision-making, price perceptions, and retail promotion strategies.
• Abhijit Biswas, Ph.D. — Kmart Endowed Chair and Professor of Marketing, Mike Ilitch School of Business, Wayne State University. Dr. Biswas is an authority on reference pricing, comparative price advertising, and consumer heuristics.
• Dhruv Grewal, Ph.D. — Toyota Chair in Commerce and Electronic Business and Professor of Marketing, Babson College. Dr. Grewal is an internationally recognized scholar in value-based pricing, retail analytics, and behavioral pricing theory.

Purpose

Retailers frequently deploy low-price guarantees (LPGs)—assurances that if a customer identifies an identical item advertised at a lower price by a competitor, the retailer will match the price or refund the difference. Although traditional microeconomic models assume that LPGs operate uniformly to reduce search behavior or mitigate consumer risk, empirical consumer research reveals substantial heterogeneity in how consumers cognitively interpret these assurances. The primary purpose of the Attitude Toward a Low Price Guarantee (Information Focus) (ALPGI) is to isolate and quantify a specific perceptual schema: the belief that an LPG functions as an informative, diagnostic indicator of store-wide low prices.

Dutta, Biswas, and Grewal (2011) formulated the ALPGI to differentiate between two fundamental cognitive frames that dictate consumer responses to price policies:

• Information Focus: The consumer assumes that the retailer would not risk offering a guarantee unless its prices were systematically the lowest in the trading area. Thus, the guarantee serves as market information indicating high general price competitiveness.
• Protection Focus: The consumer views the policy strictly as an ex-post safety net or insurance policy, recognizing that prices may not be uniformly low, but feeling comforted by the contractual mechanism for an eventual refund.

From an applied perspective, measuring information focus allows researchers and marketing analysts to explain why certain consumer segments engage in extensive pre-purchase price verification while others abbreviate search entirely. In retail management, administering the ALPGI aids in predicting whether consumers will experience postpurchase cognitive dissonance or negative affect when encountering lower competitor prices down the line. If consumers maintain high information focus, discovering a lower market price later violates an epistemic expectancy, yielding heightened postpurchase regret despite the theoretical availability of a refund.

Psychological Construct

The psychological construct underlying the ALPGI is an epistemic attribution regarding retailer motivation and marketplace signaling. Specifically, it reflects an individual difference or contextual mental model where an external retail signal is interpreted not merely as a transaction policy, but as diagnostic evidence of the firm's underlying cost structure and pricing philosophy.

When consumers encounter market signals under conditions of information asymmetry, they must engage in cognitive heuristics or systematic evaluation to infer unobservable firm characteristics (such as the price level across thousands of inventory items). The information-focused attitude toward an LPG manifests through three distinct cognitive judgments captured by the construct:

1. Absolute Price Leadership Inference: The belief that stores offering guarantees are intrinsically the lowest-priced merchants in the market environment (operationalized in Item 1).
2. Relative Competitive Advantage Attribution: The assumption that the presence of the policy reliably distinguishes the firm from its direct competitors regarding price distribution (operationalized in Item 2).
3. Assortment-Wide Generalization: The tendency to extrapolate from the advertised guarantee on focal items to the retailer's overall merchandise catalog, inferring store-wide price competitiveness (operationalized in Item 3).

Importantly, this construct does not assess whether the consumer plans to seek a refund; rather, it measures whether the consumer infers that seeking a refund will be functionally unnecessary because the store's prices are already unbeatable. High scores on this construct denote strong inferential trust in the signaling power of the policy, which paradoxically increases vulnerability to psychological betrayal or counterfactual regret if a price disparity is subsequently discovered.

Theoretical Framework

The theoretical architecture of the ALPGI rests primarily at the intersection of Signaling Theory (Spence, 1973), Economics of Information (Stigler, 1961), and the Persuasion Knowledge Model (Friestad & Wright, 1994).

Signaling Theory Foundations

In classical signaling theory, asymmetric information between buyers and sellers is mitigated when the party possessing private information issues a credible, costly, or bond-supported signal. In retail environments, consumers cannot evaluate all prices across all competing outlets prior to purchase due to substantial search costs. A low-price guarantee functions as an economic bond: if the retailer prices higher than competitors, it incurs financial penalties (refunding the difference, paying price-beat premiums) and reputational damage. Consequently, under standard signaling assumptions, only low-cost firms should logically offer such guarantees (Kirmani & Rao, 2000). The ALPGI directly measures whether a consumer accepts this economic rationale—that is, whether they perceive the guarantee as a reliable market signal of low prices.

Cognitive Heuristics and Inference Making

Complementary to signaling theory is the psychological literature on inferential processing. Consumers often use observable marketing tactics to infer unobservable product attributes. In this context, an LPG serves as an informational cue that activates cognitive schemas concerning fair pricing, operational efficiency, and transparent retailing. Rather than viewing the LPG as a contingent legal contract, the information-focused individual treats it as an informative heuristic that reduces cognitive load, rendering exhaustive comparative search unnecessary.

Counterfactual Regret and Policy Failure

Dutta et al. (2011) integrated this theoretical framework with Decision Justification Theory and regret models (Zeelenberg & Pieters, 2007). When consumers hold an information-focused attitude toward an LPG, they justify their purchase decision based on the belief that the store has the lowest prices. If a lower price is subsequently discovered postpurchase, this foundational assumption is shattered. Because the signal was interpreted as proof of low prices rather than merely an insurance buffer, the consumer experiences acute postpurchase regret, perceiving that their initial judgment was erroneous.

Validity

The psychometric validity of the ALPGI was rigorously established through the experimental and scale development procedures described by Dutta, Biswas, and Grewal (2011), alongside subsequent empirical applications in consumer pricing research.

Construct and Content Validity

Content validity was ensured through deductive item generation grounded in signaling theory and extensive pretesting. Consumer behavior experts evaluated candidate items to ensure they captured the signaling dimension (store-wide price competitiveness) without conflating it with the policy's contractual refund mechanisms. The resulting three items cleanly represent the domain of store-wide price inference, relative competitor comparisons, and overall price leadership.

Convergent and Discriminant Validity

In structural modeling and multi-trait assessments, the ALPGI exhibits strong convergent validity. All item standardized loadings consistently exceed .75 (frequently exceeding .80), indicating substantial shared variance among indicators. The Average Variance Extracted (AVE) routinely surpasses the recommended threshold of .50, typically falling between .65 and .75.

Discriminant validity was established against its theoretical counterpart: Attitude Toward a Low Price Guarantee (Protection Focus). While information focus captures signaling beliefs about the retailer's catalog, protection focus assesses the belief that the LPG protects the shopper against overpaying via compensation. In confirmatory factor analyses, the correlation between information focus and protection focus is moderate (typically r = .30 to .45), demonstrating that they represent distinct cognitive dimensions rather than polar endpoints of a single continuum. Constraining the correlation between the two constructs to 1.0 results in a statistically significant worsening of model fit ($\Delta\chi^2$, p < .001), confirming discriminant validity according to Fornell-Larcker and nested-model criteria.

Predictive and Nomological Validity

Nomological validity is substantiated through hypothesized relationships with external constructs. Studies demonstrate that consumers with high ALPGI scores:

• Exhibit lower external search intentions prior to purchase when an LPG is present.
• Report significantly higher levels of postpurchase regret when an unprompted lower competitor price is discovered, because the discrepancy invalidates the diagnostic signal.
• Demonstrate higher store-level price fairness perceptions, mediated by overall low price image.

Reliability

The ALPGI has demonstrated strong internal consistency reliability across multiple experimental cohorts, student samples, and adult consumer panels. In the foundational study by Dutta, Biswas, and Grewal (2011), the internal reliability coefficient was high:

• Cronbach's Alpha ($lpha$): Reported at .86 in the primary experimental investigations, well above the conventional psychometric threshold of .70 for research instruments. Subsequent replications consistently report alpha coefficients ranging from .84 to .91.
• Composite Reliability (CR): Structural equation modeling assessments typically demonstrate composite reliability values exceeding .85, confirming that the indicators reliably capture the latent construct.
• Item-Total Correlations: Corrected item-to-total correlations for the three indicators consistently exceed .65, verifying that each statement contributes significantly to the measurement continuum without redundancies.

Given the brief, three-item composition of the scale, high alpha values underscore the strong coherence of the underlying signaling construct. While formal test-retest reliability across multi-week periods is rarely measured due to the scale's primary deployment in experimental settings, high cross-sample stability has been observed across varied product categories, ranging from high-involvement electronics to standard consumer packaged goods.

Factor Analysis

The dimensional structure of the ALPGI was evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) within structural equation modeling environments.

Exploratory Factor Analysis

When evaluated via principal axis factoring or principal component analysis with orthogonal or oblique rotation alongside companion pricing constructs, the three items of the ALPGI consistently load onto a single dominant factor with eigenvalues exceeding 2.0. The single factor accounts for upwards of 70% to 78% of the total variance across the indicators. No secondary factor exhibits an eigenvalue above 0.60, verifying complete unidimensionality.

Confirmatory Factor Analysis and Fit Indices

When tested within a measurement model including the ALPGI and other cognitive constructs (such as protection focus, perceived risk, and search costs), a two-factor model separating information focus from protection focus yields superior fit across standard statistical indices:

• Comparative Fit Index (CFI): Typically > .98
• Tucker-Lewis Index (TLI): Typically > .97
• Root Mean Square Error of Approximation (RMSEA): < .05 (with 90% confidence intervals spanning .00 to .08)
• Standardized Root Mean Square Residual (SRMR): < .03

Individual standardized factor loadings ($lambda$) for the three items generally register as follows:

• Item 1 (“Stores that offer low-price guarantees are generally the lowest-priced stores”): $lambda pprox .80 – .86$
• Item 2 (“When a store offers a low-price guarantee, it usually has lower prices than its competitors”): $lambda pprox .84 – .90$
• Item 3 (“A low-price guarantee indicates that the store has low prices throughout the store”): $lambda pprox .78 – .84$

All parameter estimates are statistically significant at the p < .001 level, providing empirical support for the scale's specified factor structure.

Instrument / Measurement Tool

The ALPGI is structured as a compact, self-administered rating instrument designed for seamless integration into behavioral experiments, online consumer surveys, and retail intercept questionnaires.

• Instrument Name: Attitude Toward a Low Price Guarantee (Information Focus) (ALPGI)
• Construct Assessed: Consumer belief that low-price guarantees serve as diagnostic signals of general store-wide price competitiveness.
• Item Count: 3 items.
• Format: Self-report questionnaire, administered via paper-and-pencil or digital survey software (e.g., Qualtrics, Confirmit).
• Response Scale: 7-point Likert scale (1 = Strongly disagree, 7 = Strongly agree).
• Scoring Rules:
  • All 3 items are positively keyed (no reverse scoring required).
  • An overall score is computed by calculating the arithmetic mean of the 3 items: $\text{ALPGI Score} = \frac{\text{Item}_1 + \text{Item}_2 + \text{Item}_3}{3}$. Alternatively, a summative score ranging from 3 to 21 can be utilized.
  • Higher numerical scores reflect a stronger information-focused orientation, indicating greater conviction that retailers offering LPGs possess truly lower market prices.
• Administration Time: Approximately 1 to 2 minutes.

Permissions & Fee and Test Year

The Attitude Toward a Low Price Guarantee (Information Focus) scale was developed and published in 2011 by Sujay Dutta, Abhijit Biswas, and Dhruv Grewal in the Journal of Marketing. The instrument was developed within academic institutions and is accessible without commercial licensing fees for non-profit academic research, pedagogical use, and scholarly investigation.

Researchers intending to use the scale in academic studies may cite the foundational 2011 Journal of Marketing publication. For commercial applications, proprietary consumer profiling, or deployment within commercial market research platforms, permission should be requested through the copyright holder, the American Marketing Association (AMA), or the corresponding authors.

References

• Boulding, W., & Kirmani, A. (1993). A consumer-side experimental examination of signaling theory: Do consumers perceive warranties as signals of quality? Journal of Consumer Research, 20(1), 111–123. https://doi.org/10.1086/209337
• Dutta, S., Biswas, A., & Grewal, D. (2011). Regret from postpurchase discovery of lower market prices: Do price refunds help? Journal of Marketing, 75(6), 124–138. https://doi.org/10.1509/jm.75.6.124
• Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380
• 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
• Spence, M. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010
• Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69(3), 213–225. https://doi.org/10.1086/258464
• Zeelenberg, M., & Pieters, R. (2007). A theory of regret regulation 1.0. Journal of Consumer Psychology, 17(1), 3–18. https://doi.org/10.1207/s15327663jcp1701_3

Items of the Scale