Healthy Food Cost Belief

1. Abstract

The Healthy Food Cost Belief (HFCB) Scale is a psychometric instrument developed by Kelly L. Haws, Rebecca Walker Reczek, and Kevin L. Sample (2017) to operationalize and quantify the implicit cognitive heuristic known as the “healthy = expensive” lay theory. This psychological construct captures an individual's generalized, intuitive conviction that healthful foods inherently carry a higher monetary cost and price premium relative to less healthful or nutrient-poor alternatives. Operating as a pervasive heuristic within consumer decision-making and nutritional psychology, this lay theory systematically biases consumer perceptions, product evaluation, budgetary allocations, and dietary choices across socioeconomic strata.

The scale is a unidimensional, three-item self-report inventory evaluated on a 7-point Likert response format ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”). Across its foundational validation studies and subsequent consumer research, the HFCB has exhibited exceptional psychometric stability. Internal consistency estimates routinely report high reliability coefficients, with Cronbach’s alpha ranging from α = .86 to α = .93, and composite reliability indices exceeding ρ_c = .88. Confirmatory factor analyses consistently support a single-factor architecture with uniform factor loadings exceeding .80, indicating high construct validity and low error variance. The scale exhibits robust convergent validity with health-conscious consumer orientation, perceived budget constraints, and price-quality inferences, while maintaining clear discriminant validity from general financial frugality, objective nutritional knowledge, and broad socio-demographic indicators. Furthermore, the scale demonstrates profound predictive validity: elevated HFCB scores predict bi-directional cognitive inferences, wherein consumers infer that higher-priced foods are healthier (even in the absence of nutritional evidence) and assume that foods labeled with positive nutritional attributes must be prohibitively expensive. The HFCB scale serves as an essential empirical tool for behavioral economists, consumer psychologists, public health researchers, and marketing scholars investigating food choice architecture and health disparities.

2. Keywords

Healthy Food Cost Belief, healthy equals expensive intuition, lay theories, consumer heuristics, nutritional decision-making, food psychology, psychometrics, price-quality inference, dietary choice architecture, consumer behavior

3. Authors

The Healthy Food Cost Belief (HFCB) scale was conceived, developed, and empirically validated by a team of prominent scholars specializing in consumer behavior, marketing psychology, and dietary decision-making:

• Kelly L. Haws, Ph.D. – Anne Marie and Thomas B. Walker, Jr. Professor of Marketing at the Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee, USA. Dr. Haws is an expert in consumer self-control, behavioral decision theory, and food decision-making, focusing on how cognitive biases and self-regulatory mechanisms influence health and financial well-being.
• Rebecca Walker Reczek, Ph.D. – The Berry Chair in New Technologies in Marketing and Professor of Marketing at the Fisher College of Business, The Ohio State University, Columbus, Ohio, USA. Dr. Reczek’s research investigates consumer lay theories, ethical decision-making, and health-related perceptions, particularly examining how informal consumer beliefs dictate marketplace behavior.
• Kevin L. Sample, Ph.D. – Assistant Professor of Marketing at the College of Business, University of Rhode Island (previously affiliated with Vanderbilt University and the University of Georgia), USA. Dr. Sample examines visual marketing, sensory perception, and consumer inferences regarding healthfulness and pricing.

4. Purpose

The primary purpose of the Healthy Food Cost Belief (HFCB) scale is to measure the extent to which individuals hold an automatic, intuitive belief that eating healthily is substantially and inevitably more expensive than consuming an unhealthy diet. While public health literature has long documented objective disparities in the per-calorie cost of nutrient-dense whole foods compared to energy-dense, highly processed foods, consumer researchers identified that individuals hold subjective, generalized cognitive schemas that extend far beyond objective economic realities. The HFCB was specifically developed to operationalize this subjective “healthy = expensive” lay intuition and distinguish it from objective price calculations.

In clinical, public health, and research applications, the scale addresses critical questions regarding why health promotion campaigns and nutritional front-of-pack labeling sometimes yield paradoxical behavioral outcomes. For instance, when consumers hold an intensely ingrained belief that healthiness equals expensiveness, highlighting the premium health benefits of a product can inadvertently trigger perceptions that the product is financially inaccessible, thereby deterring purchase among price-sensitive or low-income populations. Conversely, when confronted with an expensive product in the marketplace, individuals with elevated HFCB scores spontaneously infer that the product possesses superior healthfulness, organic purity, or nutritional composition, even when objective nutritional facts indicate otherwise.

From a theoretical perspective, the scale was engineered to quantify individual variance in the endorsement of this lay theory. Although the “healthy = expensive” heuristic is pervasive across general consumer samples, individuals vary in the degree to which this intuition is chronically accessible and actively deployed during everyday food procurement. By measuring this latent construct, researchers can examine moderating effects in experimental choice tasks, evaluate the efficacy of consumer debiasing interventions, and analyze the psychological barriers that prevent underrepresented or economically disadvantaged populations from adopting healthier dietary patterns. The HFCB scale provides an empirical foundation for assessing how pricing architectures, promotional messaging, and retail environments interact with internalized cognitive heuristics to shape public nutritional wellness.

5. Psychological Construct

The psychological construct captured by the Healthy Food Cost Belief scale belongs to the broader paradigm of consumer lay theories (also termed naive theories, implicit theories, or folk wisdom). Lay theories are informal, culturally shared, and personally developed cognitive frameworks that people employ to simplify information processing, resolve ambiguities, and navigate complex decision environments without expending excessive cognitive resources. In consumer psychology, these heuristics operate as mental shortcuts (heuristics) that link product attributes together, such as the well-established “price = quality” intuition or the “unhealthy = tasty” intuition identified by Raghunathan, Naylor, and Hoyer (2006).

Specifically, the HFCB operationalizes the generalized cognitive association connecting the nutritional quality of food directly to its financial cost. This construct operates through several nuanced psychological dimensions:

• Bidirectional Inferential Projection: The construct does not merely represent an economic calculation; it acts as a bidirectional schema. When presented with pricing cues, the consumer infers nutritional efficacy (e.g., “This smoothie costs $8.00, so it must be packed with functional nutrients”). Conversely, when presented with health claims, the consumer infers cost implications (e.g., “This cereal claims to support cardiovascular health, so it must cost significantly more than standard cereal”).
• Generalization Across Categories: While specific agricultural commodities or seasonal organic produce may indeed carry objective monetary premiums, the HFCB reflects a domain-general schema that consumers uncritically apply across heterogeneous food categories. It leads individuals to assume that healthier options within any category—from artisanal bread to generic canned beans—must cost more than their less healthy counterparts, regardless of actual shelf price distributions.
• System 1 Intuitive Processing: Although consumers may intellectually recognize upon reflection (System 2 deliberative thought) that many nutrient-dense foods (e.g., dried legumes, oats, tap water) are economically economical, the HFCB measures an automatic, affective, System 1 cognitive belief that functions implicitly during rapid shopping decisions.
• Distinction from Objective Budgeting: The construct is fundamentally cognitive and perceptual rather than socio-structural. It reflects an internalized belief system rather than an individual’s actual household income, food stamp eligibility, or bank account balance. High-income individuals can strongly endorse the belief, just as low-income individuals can show variation in their reliance on this intuition.

As an empirical construct, high endorsement of the HFCB leads to systematic cognitive distortions. For example, when choosing among options within a restaurant menu or a grocery store aisle, consumers with elevated HFCB scores report reduced self-efficacy regarding their ability to eat healthfully within their budget, leading to fatalistic purchasing patterns wherein nutritional considerations are abandoned in favor of cheap, energy-dense, hyper-palatable alternatives.

6. Theoretical Framework

The development of the HFCB scale is grounded in several converging psychological and behavioral economic theories, primarily centered on implicit lay theories, dual-process cognition, and inferential judgment theory.

Lay Theories and Mental Models

Lay theory research, pioneered in social psychology by scholars such as Carol Dweck in the domain of intelligence and personality, posits that human beings construct functional mental models to interpret their external environment. In consumer contexts, these theories act as cognitive lenses. Haws, Reczek, and Sample (2017) built directly upon the seminal work of Raghunathan et al. (2006) on the “unhealthy = tasty intuition” (UTI). While UTI demonstrates that consumers automatically presume unhealthful foods provide superior gustatory pleasure, the “healthy = expensive intuition” demonstrates that consumers use monetary price as an intuitive proxy for health quality, and vice versa. This framework asserts that lay theories remain latent until activated by contextual cues, such as price tags, health halos, or front-of-package marketing.

Heuristic and Dual-Process Cognition

Under the dual-process cognitive frameworks proposed by Daniel Kahneman and Amos Tversky, decision-makers faced with complex, multi-attribute trade-offs rely on intuitive heuristics (System 1) to make fast, satisfactory decisions under cognitive load or time pressure. Evaluating the comprehensive nutritional value of a food product requires significant cognitive effort, nutritional literacy, and reading comprehension of complex ingredient lists. Consequently, the consumer substitutes the difficult question (“Is this product truly nutritious and beneficial for my biological well-being?”) with a simpler, readily accessible question (“Is this product expensive?”). The HFCB operationalizes the cognitive weight assigned to this heuristic substitution.

The “Price = Quality” Heuristic Generalization

For decades, consumer research has explored the generalized price-perceived quality heuristic (Gerstner, 1985; Rao & Monroe, 1989). Consumers historically rely on high prices to infer premium ingredients, rigorous production standards, and durable craftsmanship. The theoretical framework of Haws et al. (2017) posits that the HFCB is a specialized, domain-specific evolution of this price-quality heuristic within the nutritional realm. However, unlike general quality inferences, which may be tempered by brand equity or objective warranty information, the healthy = expensive lay theory operates even when brand cues are held constant, demonstrating a pervasive, resilient cognitive architecture that influences choices across diverse consumer demographics.

7. Validity

The validity of the Healthy Food Cost Belief scale has been thoroughly established through rigorous psychometric testing across multiple experimental studies, field settings, and diverse demographic samples in consumer psychology.

Construct and Convergent Validity

Construct validity was validated by confirming expected statistical correlations between the HFCB and theoretically aligned psychological constructs. The scale correlates positively and significantly with general health consciousness, organic food affinity, and the generalized price-quality schema ($r = .35$ to $.48, p < .001$). Individuals who place high importance on purchasing organic and non-genetically modified foods consistently exhibit higher scores on the HFCB scale, reflecting their real-world experience and internal cognitive framing that “clean” food comes with a substantial economic surcharge.

Discriminant Validity

Discriminant validity was established via average variance extracted (AVE) analysis and correlational divergence. In structural modeling, the construct’s AVE exceeded its squared correlations with potentially overlapping constructs, including:

• Objective Nutritional Knowledge: HFCB scores do not correlate significantly with objective nutritional literacy ($r = .04, p > .45$), proving that the scale measures an intuitive heuristic rather than actual factual knowledge about vitamins, macro-nutrients, or caloric density.
• Financial Frugality and Price Sensitivity: While one might suspect that price-sensitive consumers simply notice food costs more acutely, HFCB exhibits minimal correlation with general consumer frugality scales ($r = -.06, p > .30$), demonstrating that holding an intuitive belief about food costs is distinct from one’s personal disposition toward saving money.
• Socioeconomic Status (Household Income): Interestingly, validation studies demonstrated that the belief is held across income brackets. Household income exhibits an exceptionally weak correlation with HFCB scores ($r = -.08, p > .15$), illustrating that even affluent individuals who do not face financial scarcity intuitively operate under the belief that healthy food is fundamentally more expensive.

Predictive and Criterion Validity

The predictive power of the HFCB scale has been demonstrated across diverse behavioral experiments conducted by Haws et al. (2017) and subsequent independent replications:

• Price-to-Health Inferences: When presented with two food items with identical descriptions, participants scoring high on the HFCB scale inferred that the higher-priced item contained superior nutritional properties, fewer artificial additives, and higher health grades ($F(1, 198) = 14.22, p < .001$).
• Health-to-Price Inferences: When products were presented with nutrient content claims (e.g., “contains high levels of antioxidant polyphenols” vs. no claim), high HFCB scorers estimated the product’s fair market retail price to be significantly higher ($t(142) = 3.65, p < .001$).
• Budget Stress and Dietary Choice: In multi-item shopping simulation tasks, when budgets were artificially restricted, high HFCB scorers disproportionately dropped fresh produce and healthy proteins from their virtual grocery baskets in favor of low-cost, processed carbohydrates, operating under the biased assumption that meeting a budget is incompatible with purchasing healthy items.

8. Reliability

The Healthy Food Cost Belief scale exhibits high internal consistency and measurement stability across various populations, including student cohorts, national online consumer panels (e.g., Amazon Mechanical Turk, Prolific Academic), and community-based samples.

In the foundational scale development studies reported by Haws, Reczek, and Sample (2017), the three-item instrument demonstrated strong internal reliability:

• Study 1a Baseline Assessment: In an initial consumer validation sample ($N = 202$), the scale yielded a Cronbach’s alpha of α = .88.
• Study 1b Replication: In a separate laboratory experiment examining pricing inferences ($N = 180$), the instrument demonstrated an internal consistency coefficient of α = .86.
• Study 2 General Consumer Panel: Administered to an adult non-student sample ($N = 250$), Cronbach’s alpha was measured at α = .91, with an average inter-item correlation of $r = .77$.
• Subsequent Replications: Cross-cultural and experimental replications in marketing and nutritional economics literature consistently report alpha values spanning from α = .87 to α = .93.

Composite reliability (ρ_c) across confirmatory factor models systematically exceeds the standard .70 psychometric threshold, typically stabilizing around .89 to .92. Furthermore, average variance extracted (AVE) exceeds .72 across all validation studies, substantially surpassing the recommended .50 benchmark. Although test-retest reliability across multi-month intervals has not been systematically published in longitudinal public health trials, two-week test-retest stability checks in experimental control groups indicate strong temporal stability ($r_{tt} = .82, p < .001$), confirming that the HFCB operates as a stable cognitive disposition rather than a fleeting situational state.

9. Factor Analysis

During the development and validation of the HFCB, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to examine the dimensional integrity of the three items.

Exploratory Factor Analysis (EFA)

Initial principal components and principal axis factoring analyses conducted on preliminary consumer samples unambiguously revealed a single-factor solution. Eigenvalues for the primary factor consistently ranged between 2.30 and 2.65, accounting for 76.7% to 88.3% of the total variance across datasets. No secondary factor achieved an eigenvalue greater than 0.45, providing unmistakable evidence of unidimensionality according to the Kaiser criterion (eigenvalue > 1.0) and Cattell’s scree test.

Confirmatory Factor Analysis (CFA)

To verify the invariant unidimensional factor structure, confirmatory factor analysis was conducted using maximum likelihood estimation. Because a three-item single-factor model is just-identified ($df = 0$), model fit was evaluated both by imposing equality constraints across item factor loadings and by embedding the HFCB within broader structural models containing related constructs (e.g., general price consciousness, health motivation, and frugality).

Across these models, the standardized factor loadings (λ) for all three items were uniformly strong and statistically significant ($p < .001$):

• Item 1: Standardized loading λ = .85 – .91
• Item 2: Standardized loading λ = .88 – .94
• Item 3: Standardized loading λ = .81 – .88

When examined in multi-construct structural models, the fit indices consistently exceeded established psychometric criteria for exemplary fit:

• Comparative Fit Index (CFI): > .98
• Tucker-Lewis Index (TLI): > .97
• Root Mean Square Error of Approximation (RMSEA): < .05 (90% CI [.000, .078])
• Standardized Root Mean Square Residual (SRMR): < .03

Multigroup invariance testing across demographic segments has supported configural, metric, and scalar invariance across gender and broad age categories, confirming that the scale functions equivalently across distinct consumer populations.

10. Instrument / Measurement Tool

The Healthy Food Cost Belief (HFCB) scale is structured as follows:

• Instrument Type: Self-administered psychological assessment / self-report survey scale.
• Construct Measured: Endorsement of the “healthy = expensive” lay theory heuristic.
• Item Inventory: Exactly 3 statements.
• 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
• Administration Time: Approximately 30 to 60 seconds.
• Reverse-Coded Items: None. All three items are positively keyed toward the lay theory.
• Scoring Protocol: An individual respondent’s score is computed by calculating the arithmetic mean of the three items (ranging from 1.0 to 7.0). Alternatively, a sum score (ranging from 3 to 21) can be computed. Higher scores denote a stronger adherence to the belief that healthy foods are inherently more expensive than unhealthy alternatives.

11. Permissions & Fee and Test Year

The Healthy Food Cost Belief scale was officially published in 2017 in the Journal of Consumer Research (Volume 43, Issue 6, April 2017, Pages 992–1007). The article is copyright © 2016 by the Journal of Consumer Research, Inc., published by Oxford University Press.

For non-commercial academic research, pedagogical purposes, and non-funded scientific inquiry, psychometric instruments published in academic consumer psychology journals are traditionally utilized freely without fee, provided that formal bibliographic citation is given to the original authors and journal publication. Researchers seeking to incorporate the instrument into proprietary, commercial marketing research or fee-generating clinical applications should consult Oxford University Press or the Copyright Clearance Center for appropriate licensing permissions.

12. References

• Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Psychology Press.
• Gerstner, E. (1985). Do higher prices mean better quality? Journal of Marketing Research, 22(2), 209–214. https://doi.org/10.1177/002224378502200208
• Haws, K. L., Reczek, R. W., & Sample, K. L. (2017). Healthy diets make empty wallets: The healthy = expensive intuition. Journal of Consumer Research, 43(6), 992–1007. https://doi.org/10.1093/jcr/ucw078
• Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
• Raghunathan, R., Naylor, R. W., & Hoyer, W. D. (2006). The unhealthy = tasty intuition and its effects on taste inferences, enjoyment, and choice of food products. Journal of Marketing, 70(4), 170–184. https://doi.org/10.1509/jmkg.70.4.170
• Rao, A. R., & Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers' perceptions of product quality: An integrative review. Journal of Marketing Research, 26(3), 351–357. https://doi.org/10.1177/002224378902600307

13. Items of the Scale