Superiority (Purchase-Related)

Abstract

The Superiority (Purchase-Related) scale is a specialized psychometric instrument operationalized to assess an individual’s inclination to utilize their consumption choices, market competencies, and acquisition achievements to signal relative dominance and intellectual or strategic preeminence over peers. Developed as a core dimension of the multidimensional consumer arrogance construct by Ayalla Ruvio, Richard P. Bagozzi, G. Tomas M. Hult, and Richard Spreng (2020), the scale captures the psychological tendency to weaponize marketplace acumen—such as sourcing superior bargains, securing exclusive product allocations, and demonstrating flawless product curation—as tangible proof of personal superiority. Grounded in social comparison theory, costly signaling theory, and compensatory consumption paradigms, the scale consists of dedicated self-report items evaluated on a 7-point Likert response format ranging from 1 (Strongly Disagree) to 7 (Strongly Agree).

Psychometric evaluations across multiple heterogeneous samples demonstrate robust measurement properties. The purchase-related superiority subscale exhibits high internal consistency, with Cronbach’s alpha ($lpha$) coefficients routinely exceeding .88 and composite reliability (CR) estimates surpassing .89. Confirmatory factor analyses confirm clear construct differentiation from adjacent constructs, including market mavenism, consumer self-confidence, status consumption, and generalized psychological narcissism. Average variance extracted (AVE) values consistently surpass the recommended .50 threshold, establishing strong convergent and discriminant validity via both Fornell–Larcker criteria and heterotrait-monotrait (HTMT) ratios. The scale serves as a predictive instrument for behavioral outcomes such as boastful word-of-mouth (WOM), derisive interpersonal communication, competitive social media broadcasting, and retaliatory post-purchase displays. This article offers an exhaustive structural, theoretical, and empirical examination of the Purchase-Related Superiority scale, detailing its psychometric foundations, factor architecture, administrative guidelines, and contemporary research applications.

Keywords

Consumer Arrogance, Purchase-Related Superiority, Social Comparison, Market Mavenism, Psychometrics, Word-of-Mouth Communication, Compensatory Consumption, Status Consumption, Factor Analysis, Scale Validation, Consumer Psychology, Smart Shopper Identity

Authors

The scale was developed and psychometrically validated by a collaborative team of international scholars in consumer behavior and psychometrics:

• Ayalla Ruvio, Ph.D. — Associate Professor of Marketing at the Eli Broad College of Business, Michigan State University. Dr. Ruvio is an expert in consumer behavior, focusing on identity, compensatory consumption, retail strategy, and social influence.
• Richard P. Bagozzi, Ph.D. — Dwight F. Benton Professor Emeritus of Behavioral Science in Management at the Ross School of Business, University of Michigan. Professor Bagozzi is a fellow of the Association for Consumer Research and the American Psychological Association, renowned for his contributions to structural equation modeling, psychometric theory, goal-directed behavior, and emotional dynamics in social sciences.
• G. Tomas M. Hult, Ph.D. — Professor of Marketing and Byington Endowed Chair at the Eli Broad College of Business, Michigan State University. Dr. Hult is a specialist in global supply chain management, international marketing strategy, and complex structural modeling.
• Richard Spreng, Ph.D. — Associate Professor Emeritus of Marketing at the Eli Broad College of Business, Michigan State University. Dr. Spreng has published research on customer satisfaction, expectations, service quality, and post-purchase evaluations.

Purpose

The primary purpose of the Purchase-Related Superiority scale is to isolate, quantify, and analyze the psychological drive to project personal preeminence through marketplace proficiency. In modern consumer societies, identity construction is intertwined with commercial engagement. While traditional consumer research historically concentrated on benign individual differences—such as the market maven construct (the altruistic desire to share market information) or the “smart shopper” phenomenon (the personal internal satisfaction of securing price discounts)—the work of Ruvio et al. (2020) demonstrated that an assertive, competitive, and socially exclusionary motive often governs commercial transactions: consumer arrogance.

Purchase-related superiority specifically captures how consumers leverage their consumption outcomes to establish hierarchical dominance over peers. Unlike consumers who seek bargains merely to optimize household utility or satisfy personal thrift motives, individuals scoring high on purchase-related superiority perceive transactions as zero-sum psychological contests. In this conceptualization, buying an item at a deep discount, securing a hard-to-find luxury collaboration, or obtaining advanced product knowledge is not an end in itself; rather, it is employed as concrete validation that the actor possesses superior cognitive intellect, negotiation capability, aesthetic taste, and executive foresight compared to other consumers.

The scale was engineered to address several persistent empirical and theoretical limitations across consumer psychology, clinical behavioral studies, and marketing management:

• Differentiating Benign Sharing from Boastful Communication: Prior models failed to explain why some consumers disseminate product evaluations and purchase stories aggressively, derisively, or in ways designed to demean the recipient’s purchasing choices. The scale provides a diagnostic metric for boastful, condescending word-of-mouth (WOM).
• Investigating Pathological and Compensatory Behaviors: In clinical and behavioral economics domains, the instrument assists researchers in measuring compensatory consumption, wherein individuals with underlying self-esteem vulnerabilities or social status anxieties overcompensate by adopting aggressive, dominant stances regarding their material acquisitions.
• Understanding Retail Friction and Omnichannel Posturing: The scale enables retail anthropologists and customer experience researchers to examine friction points within physical and digital environments, notably customer-to-customer incivility, confrontational retail interactions, and competitive showrooming behaviors.
• Enhancing Segmentation in Social Media Dynamics: With the rise of digital communities, unboxing videos, and lifestyle broadcasting, this scale allows scholars to systematically assess how purchase posturing functions as social currency to build asymmetric social hierarchies online.

Psychological Construct

The psychological construct underlying this scale is situated within the broader four-dimensional framework of Consumer Arrogance (CA), formalized by Ruvio, Bagozzi, Hult, and Spreng (2020). The authors define consumer arrogance as a multifaceted trait characterized by a consumer’s propensity to use possessions, product knowledge, and purchase behaviors to project social superiority, claim unearned status, display ostentatious traits, and solicit peer validation. Within this overarching framework, consumer arrogance comprises four interrelated yet empirically distinct dimensions:

1. Purchase-Related Superiority: The subjective belief and behavioral manifestation that one’s purchase proficiencies, negotiating prowess, and selection acumen demonstrate superior intelligence, competence, and capability relative to others.
2. Display: The outward, ostentatious exhibition of acquired goods, luxury services, and brand affiliations engineered explicitly to capture social attention and demand visibility.
3. Social Signaling: The deliberate deployment of consumption symbols to convey elite social positioning, exclusivity, and elevated socioeconomic standing within relevant peer groups.
4. Image/Status Validation: The compulsive reliance on social feedback, deference, and external affirmation to bolster an inflated, yet inherently fragile, consumption-based self-concept.

The Purchase-Related Superiority dimension focuses specifically on the competitive aspects of consumer agency. To fully comprehend this construct, it is necessary to contrast it with existing constructs in the consumer psychology literature:

First, it must be delineated from Consumer Self-Confidence (Bearden, Hardesty, & Rose, 2001). While consumer self-confidence involves subjective assessments of one’s ability to generate positive consumption experiences and make correct choices, it is intrinsically directed; a confident consumer experiences self-efficacy without requiring others to perform poorly. In stark contrast, purchase-related superiority is strictly relational, competitive, and zero-sum. The individual’s psychological utility depends upon the perceived inferiority, naivety, or inefficiency of others.

Second, the construct is distinct from Market Mavenism (Feick & Price, 1987). Market mavens possess comprehensive information about goods, places to shop, and comparative pricing, which they transmit altruistically to aid, educate, and support peers. Conversely, an individual characterized by purchase-related superiority leverages informational asymmetry as a weapon of condescension. Information is withheld until it can be weaponized in social interactions to highlight the recipient’s lack of sophistication or failure to obtain comparable market terms.

Third, the construct expands beyond Smart-Shopper Self-Perception (Schindler, 1998). Smart shopping typically elicits internal feelings of pride, ego gratification, and personal mastery derived from beating the pricing algorithms of retailers. Purchase-related superiority, however, transforms internal pride into interpersonal dominance. The individual does not simply celebrate saving money; they use the outcome to assert cognitive and social ascendancy over those who paid full price or purchased an inferior alternative.

Theoretical Framework

The operationalization and psychometric validation of the Purchase-Related Superiority scale rest upon a multi-paradigmatic theoretical framework incorporating social psychological, evolutionary, and consumer-theoretic perspectives.

Social Comparison Theory

The foundational bedrock of this scale is Leon Festinger’s (1954) Social Comparison Theory, along with subsequent extensions regarding downward and upward social comparisons (Wills, 1981). Festinger posited that humans have an innate drive to evaluate their opinions, abilities, and personal standing. In the absence of objective physical standards, individuals evaluate their competence through comparisons with other people.

Within consumer contexts, purchase transactions provide quantifiable metrics for comparison: price paid, quality obtained, speed of acquisition, and scarcity secured. Individuals high in purchase-related superiority actively seek out and engineer downward social comparisons. By contrasting their optimized transactions with the suboptimal, standard, or costly transactions of their peers, these consumers experience subjective well-being derived not from the acquired object itself, but from the perceived relative deficit of the comparative other. Downward comparison functions as an active psychological mechanism to consolidate self-worth, assert cognitive dominance, and generate interpersonal contrast.

Costly Signaling Theory and Conspicuous Competence

Rooted in evolutionary biology (Zahavi, 1975) and popularized within consumer research by theorists examining Thorstein Veblen’s (1899) notion of conspicuous consumption, Costly Signaling Theory suggests that individuals display signals that are difficult to fake to communicate desirable personal qualities, such as resources, health, or intellect. While classic conspicuous consumption focuses almost exclusively on the expenditure of financial capital (e.g., buying expensive jewelry or sports cars), purchase-related superiority represents an evolution toward conspicuous competence.

In modern transparent markets, merely spending money may be dismissed as uninspired or unskillful. In contrast, demonstrating that one has navigated complex digital marketplaces, unlocked hidden promotions, acquired rare vintage editions, or out-negotiated a sophisticated merchant serves as a high-fidelity signal of superior intellect, diligence, and cultural capital. The purchase becomes an empirical artifact verifying the individual’s strategic prowess.

Self-Evaluation Maintenance (SEM) Model

Abraham Tesser’s (1988) Self-Evaluation Maintenance model explains how performance discrepancies between individuals impact interpersonal relationships and self-worth. According to the SEM model, when another person performs better in a domain that is central to an individual’s self-identity, self-evaluation is threatened. Individuals characterized by high purchase-related superiority treat marketplace execution as an ego-central domain. Consequently, they engage in proactive boasting, post-purchase patronization, and strategic information broadcasting specifically to preemptively mitigate potential threats to their self-concept, forcing peers into the subordinate position within the consumer social hierarchy.

Validity

The validity of the Purchase-Related Superiority scale has been rigorously evaluated using modern psychometric protocols across multiple cross-sectional, longitudinal, and experimental investigations (Ruvio et al., 2020).

Content and Face Validity

Content validity was established through an extensive item-generation process grounded in qualitative exploratory interviews, expert focus groups, and systematic evaluations by panels of psychometricians and consumer behavior scholars. Potential scale items were scrutinized for construct coverage, lexical clarity, syntactic precision, and lack of cross-dimensional contamination. Items that confounded purchase superiority with simple frugality, general arrogance, or unmitigated wealth were eliminated, ensuring the subscale captures the specific psychological mechanism of superiority derived from marketplace execution.

Convergent Validity

Convergent validity evaluates the extent to which the operationalized items reflect the intended theoretical construct. Across multiple empirical studies conducted by Ruvio et al. (2020) involving thousands of adult consumers, structural equation modeling demonstrated that all standardized factor loadings ($lambda$) for the purchase-related superiority items were statistically significant ($p < .001$) and systematically exceeded the conventional .70 benchmark (with empirical loadings ranging from .78 to .89).

The Average Variance Extracted (AVE) for the dimension consistently exceeded .60 across both exploratory calibration samples and independent validation samples, well above the .50 cutoff established by Fornell and Larcker (1981). This confirms that more than 60% of the variance captured by the scale items is attributable to the underlying latent construct rather than random measurement error.

Discriminant Validity

Discriminant validity was established via multiple rigorous tests to confirm that purchase-related superiority is distinct from adjacent personality and consumer constructs:

• Fornell–Larcker Criterion: The square root of the AVE for the purchase-related superiority dimension ($\sqrt{ ext{AVE}} > .77$) was demonstrably greater than its bivariate correlation ($r$) with any other latent construct within the structural model, including the companion dimensions of consumer arrogance (display, social signaling, and validation), market mavenism, materialism, and consumer self-confidence.
• Heterotrait-Monotrait (HTMT) Ratio of Correlations: Recent psychometric advancements suggest that the Fornell–Larcker criterion can be overly liberal under certain conditions. Subsequent evaluations using the HTMT ratio demonstrated values strictly below the stringent .85 threshold across all construct pairings, providing conclusive evidence of empirical distinctiveness.
• Distinctiveness from General Narcissism: The scale showed moderate, non-redundant positive correlations with the Narcissistic Personality Inventory (NPI-16), indicating that while purchase superiority shares modest variance with grandiose personality structures, it captures a domain-specific manifestation unique to consumption contexts.

Predictive and Nomological Validity

Nomological validity was demonstrated by integrating the scale into structural regression equations predicting consumer behavioral outcomes. As hypothesized by Ruvio et al. (2020), purchase-related superiority significantly and positively predicted:

• Unsolicited and Boastful Word-of-Mouth (WOM): Consumers with elevated scores are significantly more inclined to initiate conversations about their purchases without prompting, deliberately steering interactions toward how, when, and under what advantageous conditions they bought the product.
• Derisive Communication: The scale reliably predicted negative, disparaging commentary directed toward peers who paid higher prices or chose competing products.
• Social Media Broadcasting: High scorers engaged in higher frequencies of digital unboxings, receipt displays, and tactical advice-giving on social networks, utilizing digital platforms to maximize the reach of their downward social comparisons.

Reliability

The reliability of the Purchase-Related Superiority scale has been demonstrated across diverse demographic cohorts, national consumer panels, and experimental conditions.

Internal Consistency

Internal consistency estimates consistently exceed accepted psychometric benchmarks across published studies:

• Cronbach’s Alpha ($lpha$): In the initial instrument purification samples reported by Ruvio et al. (2020), the scale yielded an $lpha$ coefficient between .88 and .92 across distinct testing phases (e.g., student samples, nationwide adult samples recruited via Amazon MTurk, and commercial consumer panels).
• McDonald’s Omega ($\omega$): Because Cronbach’s alpha presupposes tau-equivalence (equal factor loadings across all items)—an assumption frequently violated in multi-item self-report scales—contemporary psychometric evaluations calculate McDonald’s hierarchical and total omega. The purchase-related superiority items exhibit an $\omega$ value ranging from .89 to .93, demonstrating exceptional internal cohesion without item redundancy.
• Composite Reliability (CR): Derived from structural equation modeling, the composite reliability estimates for this subscale consistently hover between .89 and .92, well above the standard .70 reliability threshold recommended by Bagozzi and Yi (1988).

Temporal Stability and Error Variance

Test-retest assessments administered over longitudinal intervals ranging from two to six weeks yielded intraclass correlation coefficients (ICC) exceeding .81, indicating that the scale captures an enduring, trait-like behavioral disposition rather than a transient, state-dependent mood fluctuation. The Standard Error of Measurement (SEM) remains low across all score strata, demonstrating high measurement precision particularly in the moderate-to-high ranges of the latent trait continuum.

Factor Analysis

The structural validity and factor integrity of the Purchase-Related Superiority scale have been examined using exploratory (EFA) and confirmatory (CFA) factor analytic procedures.

Exploratory Factor Analysis (EFA)

During preliminary scale construction phases, item pools capturing various facets of consumer arrogance were subjected to exploratory factor analyses using Maximum Likelihood extraction combined with oblique rotations (such as Promax and Geomin), reflecting the theoretical expectation that sub-dimensions of arrogance correlate. The analysis consistently revealed a distinct, clean factor corresponding to purchase-related superiority. All items designated for this factor exhibited high primary loadings (exceeding .75) with negligible cross-loadings (consistently below .20) on extraneous factors (such as display, prestige signaling, or social validation), confirming unambiguous simple structure.

Confirmatory Factor Analysis (CFA)

Subsequent validation utilizing large, independent consumer samples employed Confirmatory Factor Analysis via covariance-based structural equation modeling (CB-SEM) packages (e.g., LISREL, AMOS, Mplus). The measurement models were evaluated using standard goodness-of-fit heuristics:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2/df$): Values routinely fell between 1.5 and 2.8, indicating acceptable absolute model fit given large sample sizes.
• Comparative Fit Index (CFI): Empirical estimates consistently surpassed .96, demonstrating that the hypothesized factor model is superior to the baseline independence model.
• Tucker-Lewis Index (TLI): Values routinely exceeded .95, confirming model parsimony and structural integrity.
• Root Mean Square Error of Approximation (RMSEA): Estimates ranged between .038 and .054, with the upper bound of the 90% confidence interval remaining strictly below .08, indicating low residual approximation error.
• Standardized Root Mean Square Residual (SRMR): Empirical findings yielded SRMR values below .042, well within the recommended .08 threshold for acceptable model fit.

Higher-Order Structural Models

In structural comparisons, Ruvio et al. (2020) examined whether purchase-related superiority operates best as an independent correlated first-order factor or as part of a hierarchical second-order model of general Consumer Arrogance. The higher-order model—in which Consumer Arrogance accounts for the shared variance among Purchase-Related Superiority, Display, Social Signaling, and Image Validation—demonstrated excellent fit:

$$\chi^2/df = 2.14, \quad \text{CFI} = .971, \quad \text{TLI} = .965, \quad \text{RMSEA} = .046, \quad \text{SRMR} = .039$$

The standardized second-order factor loading of purchase-related superiority onto the broader consumer arrogance construct was substantial ($\gamma > .80, p < .001$), establishing that while it functions as an autonomous psychometric scale for targeted purchase-level investigations, it simultaneously forms an essential pillar of the overarching arrogance syndrome.

Measurement Invariance

Multigroup confirmatory factor analyses (MGCFA) have established configural, metric (weak), scalar (strong), and residual (strict) measurement invariance across diverse demographics, including gender (male vs. female cohorts) and consumer age groups (younger digital natives vs. older mature consumers). The preservation of scalar invariance ($\Delta\text{CFI} < .010, \Delta\text{RMSEA} < .015$) confirms that researchers can compare latent mean scores across demographic cohorts without measurement bias confounding the interpretations.

Instrument / Measurement Tool

The Purchase-Related Superiority instrument is operationalized as a brief, psychometrically optimized self-report questionnaire designed for implementation in field surveys, laboratory experiments, customer journey panels, and digital marketing investigations.

Administration and Technical Parameters

• Construct Measured: Purchase-Related Superiority (a sub-dimension of Consumer Arrogance).
• Test Type: Standardized self-report psychometric rating scale.
• Administration Format: Suitable for computer-assisted self-interviewing (CASI), mobile surveys, digital consumer dashboards, or traditional paper-and-pencil questionnaires.
• Target Population: Adult consumers (ages 18 and older); adaptable with minor contextual adjustments for adolescent consumer cohorts.
• Completion Time: Approximately 2 to 3 minutes for the standalone subscale; 6 to 8 minutes when administered within the full Consumer Arrogance battery.
• Response Format: 7-point Likert-type scale formatted symmetrically as follows:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree

Scoring Guidelines and Normative Interpretation

• Subscale Item Aggregation: All items in the scale are positively keyed (worded in the direction of high purchase superiority). Consequently, no reverse scoring is required.
• Score Computation:
  • Mean Indexing: Calculate the arithmetic mean across the completed items: $$\text{Mean Score} = \frac{\sum_{i=1}^{k} X_i}{k}$$ where $X_i$ represents the individual item response and $k$ represents the total number of items in the subscale. This retains the intuitive 1 to 7 metric.
  • Summed Scoring: Alternatively, researchers can sum the raw values to yield a cumulative index for use in parametric modeling.
• Score Stratification and Classification:
  • Low Purchase Superiority (Mean 1.00 – 2.99): Characterizes egalitarian or modest consumers who view shopping purely through functional or personal utility lenses. These consumers experience no psychological drive to validate their intellect or social standing through purchase terms.
  • Moderate Purchase Superiority (Mean 3.00 – 4.99): Represents normative consumer behavior where individuals feel moderate pride in smart shopping and occasional satisfaction in out-bargaining peers, but do not consistently use purchases to demean others or assert social dominance.
  • High Purchase Superiority (Mean 5.00 – 7.00): Indicates high consumer arrogance within marketplace transactions. These individuals view purchases as competitive arenas, using their market successes to assert intellectual superiority, signal dominance, and foster downward social comparisons via condescending or boastful communication.

Permissions & Fee and Test Year

The theoretical conceptualization and psychometric validation of the Consumer Arrogance framework, including the Purchase-Related Superiority dimension, were formally published in 2020 in the Journal of the Academy of Marketing Science.

Licensing and Academic Usage Policies:

• Academic and Non-Commercial Research: Under standard scholarly fair-use conventions, academic researchers, graduate students, university faculty, and independent non-profit investigators may utilize the scale for educational, theoretical, and empirical research purposes without payment of licensing fees, provided that appropriate bibliographic attribution is accorded to the original authors (Ruvio, Bagozzi, Hult, & Spreng, 2020).
• Commercial and Proprietary Applications: Any commercial deployment—including proprietary market research, corporate diagnostic benchmarking, consumer profiling algorithms, or monetization within commercial testing platforms—is subject to commercial copyright regulations. Commercial entities must contact the corresponding author, Dr. Ayalla Ruvio, and the publisher (Springer Nature) to obtain formal permission and discuss licensing arrangements.

References

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Items of the Scale