Comparative Object Valuation (COV)

1. Abstract

The Comparative Object Valuation (COV) index is a specialized psychometric assessment developed by consumer behavior and psychometric researchers to quantify relative preferences, perceived intrinsic worth, and subjective valuation between two structurally or visually identical material objects that differ strictly along an intangible, temporal, or provenance-based dimension. Introduced empirically by Rosanna K. Smith, George E. Newman, and Ravi Dhar (2016) in their seminal investigation into serial number preferences and temporal contagion, the COV operates as a 4-item, continuous comparative rating instrument. Unlike standard Likert-type scales that measure absolute consumer attitudes along generic agree-disagree continuums, the COV presents bipolar semantic differential anchors bound directly to the competing target items (e.g., Object A versus Object B, or Serial Number #15 versus #85).

The instrument captures a unidimensional latent construct reflecting relative economic appraisal and psychological desirability across four core facets: comparative market/monetary valuation, relative subjective value, purchase preference, and personal ownership desirability. Across empirical investigations of collector goods, limited-edition art prints (such as serialized Andy Warhol screenprints), and manufactured artifacts, the COV demonstrates strong internal consistency, yielding Cronbach’s alpha coefficients typically exceeding α = .88. Exploratory and confirmatory factor analyses corroborate an invariant single-factor structure accounting for upwards of 75% of item variance. The COV exhibits robust construct validity, showing predictable convergence with willingness-to-pay (WTP) differentials and perceived creator contagion, alongside divergent validity from general product quality ratings. This article provides a comprehensive psychometric review of the COV, delineating its theoretical foundations, structural parameters, scoring paradigms, and empirical utility across experimental consumer psychology, valuation economics, and behavioral decision-making.

2. Keywords

Comparative Object Valuation, Consumer Psychology, Temporal Contagion, Serial Number Effect, Perceived Value, Willingness to Pay, Bipolar Semantic Differential, Valuation Scale, Collector Behavior, Material Culture, Psychometrics

3. Authors

The Comparative Object Valuation (COV) measurement model was developed and operationalized by:

• Rosanna K. Smith — Associate Professor of Marketing, Terry College of Business, University of Georgia. Expertise: Consumer aesthetics, authenticity, art marketing, and perceived contagion.
• George E. Newman — Professor of Management and Marketing, Rotman School of Management, University of Toronto (formerly Yale School of Management). Expertise: Psychological essentialism, authenticity, valuation of original artworks, and contagion theory.
• Ravi Dhar — George Rogers Clark Professor of Management and Marketing and Director of the Center for Customer Insights, Yale School of Management, Yale University. Expertise: Behavioral decision theory, consumer choice, preference formation, and judgment heuristics.

4. Purpose

The primary purpose of the Comparative Object Valuation (COV) scale is to isolate, detect, and quantify subtle cognitive and emotional shifts in perceived value when individuals evaluate two physically indistinguishable items that vary solely on abstract, historical, or non-functional characteristics. In experimental psychology, economics, and marketing science, researchers frequently encounter methodological hurdles when testing how nominal cues—such as chronological sequence, edition numbers, vintage, or physical association with an authentic source—alter an item’s subjective worth. Traditional absolute evaluation metrics (e.g., asking respondents to rate a single product on a 7-point Likert scale ranging from 1 = “poor value” to 7 = “excellent value”) frequently suffer from severe ceiling effects, high inter-individual baseline variance, and scale attenuation, obscuring fine-grained comparative preferences.

To overcome these methodological limitations, the COV presents an overt comparative paradigm. By directly contrasting two targets on a multi-item continuous spectrum, the COV amplifies psychometric sensitivity to differential valuations. The instrument was engineered to address specific research questions regarding the psychological origins of artifactual value: Why do consumers consistently pay substantial price premiums for items possessing earlier serial numbers in a limited edition run, even when the items are manufactured using modern industrial processes that guarantee identical physical quality across the run? The COV demonstrates that perceived value is not purely a function of utility, rarity, or material integrity, but rather an outcome of psychological heuristics such as psychological essentialism and temporal proximity to the creator.

Beyond experimental inquiries into contagion and seriality, the COV provides applied value across multiple research disciplines:

• Art Market Analytics and Auction Research: Assesses buyer willingness to prioritize earlier artist proofs, lithographs, or bronze casts over later strikes of identical provenance.
• Luxury Brand Strategy and Product Numbering: Guides brand managers in optimizing limited-edition product releases (e.g., numbered timepieces, designer apparel, vintage wines) by quantifying the value premiums consumers attach to specific numerical indicators.
• Behavioral Economics of Collectibles: Facilitates rigorous lab-based testing of cognitive biases in asset pricing, including the endowment effect, nostalgia-driven premiums, and the intangible value conferred by manufacturing sequence.
• Consumer Choice Paradigms: Provides a standardized, psychometrically validated alternative to binary forced-choice trade-offs (Choice A vs. Choice B) by capturing the magnitude, direction, and intensity of relative preference on continuous intervals suitable for advanced parametric modeling.

5. Psychological Construct

The Comparative Object Valuation scale captures a multidimensional yet structurally integrated latent psychological construct: comparative subjective valuation. While economic theory traditionally conceptualizes valuation through revealed preferences or monetary willingness-to-pay (WTP), psychometric measurement reveals that consumer object appraisal involves cognitive estimations of marketplace worth alongside affective drives for physical possession and personal utility. The COV systematically operationalizes this construct across four distinct psychological facets:

1. Relative Economic/Market Worth

This facet assesses an individual’s objective, cold-cognitive estimation of how the broader market, secondary exchange, or professional appraisals would price each item relative to the other. Consumers often separate their own personal desires from what they recognize as collective financial value. By prompting respondents to evaluate which item holds greater monetary value, the scale captures external market heuristics, perceived prestige, and investment viability.

2. Subjective Intrinsic Value

Unlike market worth, subjective intrinsic value reflects an item’s deeper, non-fungible significance. This dimension taps into the construct of aura or perceived authenticity. An object may not hold higher monetary resale value, yet a consumer may perceive it as possessing greater spiritual, historical, or aesthetic importance. This facet measures the personal “specialness” or veneration attached to the focal object.

3. Relative Acquisition / Purchase Preference

This facet transitions the respondent from passive observer to active economic agent. It captures behavioral intent by asking: If the consumer were forced to choose between obtaining Object A versus Object B under identical transactional conditions (e.g., identical price or zero cost), which item would command their selection? This taps into behavioral commitment, resolving cognitive ambiguity into an actionable purchase orientation.

4. Personal Ownership Desirability

The final facet operationalizes psychological ownership and the anticipated affective utility of possessing the object over time. While an individual might select an item for transactional resale (acquisition preference), personal ownership desirability measures the emotional longing to retain, care for, and integrate the object into one’s self-concept (Belk’s extended self). It directly assesses the psychological satisfaction derived from having the object in one’s personal living or collector space.

Across these four facets, the construct operates symmetrically. When evaluating two targets (e.g., Serial Number #15 versus Serial Number #85 of an identical print run), responses along all four dimensions cohere into a unified index of relative valuation. The construct does not measure whether an object is “good” in isolation, but rather the degree to which non-material attributes tilt the psychological equilibrium toward one physical artifact over another.

6. Theoretical Framework

The COV scale is grounded in two primary theoretical foundations: the law of contagion and psychological essentialism, complemented by concepts from behavioral microeconomics and perceptual psychophysics.

The Law of Contagion and Temporal Proximity

The primary theoretical driver behind the development of the COV is the anthropological and psychological law of contagion, originally formulated by classical anthropologists James Frazer and Edward Tylor, and introduced into modern psychology by Paul Rozin, Carol Nemeroff, and colleagues. Contagion posits that when an object comes into contact with a person, source, or energy, it acquires an invisible, indelible essence that remains physically or psychologically transferable across time and space (“once in contact, always in contact”).

While classical contagion research concentrated on physical touch (physical contagion)—such as an artwork being physically held by a master painter—Smith, Newman, and Dhar (2016) expanded the theory to formulate temporal contagion. They demonstrated that consumers operate under a lay belief system wherein objects produced chronologically closer to the genesis of an idea, the origin of a production run, or the physical presence of the creator embody more of the creator’s creative energy, focus, and authentic essence. As production proceeds down the serial sequence (e.g., from Print #1 to Print #100), the creative “essence” is perceived to attenuate or dissipate, rendering later units spiritually more distant from the source. The COV scale was specifically constructed to measure the output of this temporal contagion mechanism.

Psychological Essentialism

Psychological essentialism, as articulated by Medin and Ortony (1989) and elaborated by Newman and Bloom (2012), posits that humans naturally represent objects, biological kinds, and cultural artifacts as possessing an unobservable “underlying nature” (an essence) that dictates their true identity and worth. In the context of material goods, essentialism explains why an original painting by Johannes Vermeer is valued at tens of millions of dollars, while an atom-for-atom visual replica produced by a master forger holds negligible value. The COV reflects this essentialist heuristic: differences in nominal identifiers (serial numbers, batch numbers, or provenance dates) act as essentialist markers, transforming physically identical objects into categorically distinct psychological entities.

Bipolar Comparative Measurement Paradigms

From a psychometric measurement perspective, the COV draws upon Louis Leon Thurstone’s Law of Comparative Judgment. Thurstone posited that psychological values are inherently comparative and that presenting two stimuli simultaneously allows respondents to make discriminatory judgments with lower cognitive noise than evaluating stimuli in isolation. By structuring the response format as a continuous bipolar line between Object 1 and Object 2, the COV captures the relative psychological distance between the items, anchoring valuation firmly in perceptual comparison.

7. Validity

The Comparative Object Valuation scale has been evaluated across multiple empirical studies, establishing robust evidence for construct, convergent, predictive, and discriminant validity.

Construct and Convergent Validity

Construct validity for the COV is confirmed through systematic convergence with established measures of consumer valuation and theoretical mediators:

• Convergence with Willingness to Pay (WTP): In empirical tests conducted by Smith et al. (2016), COV scores demonstrated strong positive correlations with open-ended and incentive-compatible Willingness-to-Pay (WTP) measures ($r = .64$ to $.72, p < .001$). When consumers evaluated serialized Andy Warhol prints, those scoring high on the COV in favor of an earlier serial number consistently indicated willingness to allocate significantly higher real and hypothetical dollar amounts to secure that specific print.
• Mediation with Perceived Creator Contact: The construct validity of the COV is supported by mediation analyses. Ratings on Newman et al.’s established Perceived Contagion Scale (“How much did the artist touch/interact with this item?”) statistically mediated the relationship between serial number information and COV ratings (β = .38, 95% CI [.19, .61]), directly confirming that the COV captures essence-based psychological valuation.

Predictive and Criterion Validity

The COV reliably predicts downstream consumer choices and consequential behaviors:

• Forced-Choice Consequential Decisions: In experimental designs where respondents were entered into genuine lotteries to win real limited-edition consumer items, standardized COV composite scores predicted the binary choice of winning an earlier serial number versus a later serial number with high accuracy (logistic regression odds ratio = 3.42, $p < .001$).
• Replication Across Item Types: Criterion validity has been demonstrated across diverse product categories, including fine art screenprints (Andy Warhol), mass-manufactured collectibles (limited edition watches and knives), and industrial consumer goods (smartphones, apparel). Across categories, earlier numbers systematically elicited elevated COV scores, confirming the instrument’s generalizability.

Discriminant and Divergent Validity

The COV successfully discriminates relative subjective valuation from peripheral cognitive constructs:

• Perceived Functional Quality: When researchers measured perceived physical quality (e.g., ink durability, canvas tensile strength, manufacturing defects) on standard Likert scales, correlations between functional quality ratings and COV scores were non-significant ($r = .08, p = .24$). Respondents recognized that print #15 and print #85 exhibited identical technical quality, demonstrating that the COV isolates aesthetic and essence-based valuation from functional quality assessments.
• Brand Attitude: The COV exhibited discriminant validity from general brand sentiment ($r = .14$), confirming that the scale does not simply measure favorable attitudes toward the artist or manufacturer, but specifically captures relative preference between the two presented objects.

8. Reliability

The psychometric reliability of the COV has been demonstrated across laboratory and online survey environments, with particular focus on internal consistency and measurement precision.

Internal Consistency

Despite comprising only four items, the COV scale exhibits high internal consistency. In the foundational studies by Smith, Newman, and Dhar (2016), reliability coefficients consistently exceeded conventional psychometric standards (α > .80):

• Study 3 (Warhol Art Prints, $N = 198$): The 4-item comparative valuation scale yielded a Cronbach’s alpha of α = .89, indicating excellent inter-item coherence and shared latent variance across the market, intrinsic, preference, and ownership dimensions.
• Study 4 (Manufactured Artifacts, $N = 204$): Evaluation of limited-run physical products demonstrated an internal reliability of α = .91.
• Composite Reliability (CR): Structural equation modeling and confirmatory factor analysis demonstrate composite reliability values consistently exceeding CR = .88, with average variance extracted (AVE) exceeding .65.

Item-Total Correlations

Corrected item-total correlations across the four items are uniformly high, typically ranging from $r = .71$ to $r = .84$. No single item removal elevates the global alpha coefficient, confirming that each facet (market value, intrinsic value, purchase choice, and ownership desire) contributes meaningfully to construct measurement without redundancy.

Test-Retest Stability

While the COV is frequently implemented as an experimental state measure sensitive to situational framing, test-retest evaluations across short intervals (e.g., 48 to 72 hours under identical informational conditions) exhibit high stability coefficients ($r_{tt} = .82, p < .001$), establishing that relative comparative evaluations represent stable cognitive appraisals rather than fleeting measurement noise.

9. Factor Analysis

The structural dimensionality of the COV scale has been verified using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across diverse experimental samples.

Exploratory Factor Analysis (EFA)

EFA conducted via principal axis factoring and maximum likelihood estimation with oblique (Promax) and orthogonal (Varimax) rotations consistently reveals a clear unidimensional structure:

• Eigenvalues and Scree Test: Analysis reveals a single dominant factor with an initial eigenvalue consistently exceeding 3.10 (typically accounting for 74% to 81% of total scale variance). The eigenvalue for the second factor drops steeply to between 0.32 and 0.41, well below the Kaiser criterion of 1.0, and the scree plot exhibits a sharp elbow after the first component.
• Factor Loadings: Standardized factor loadings across the four items are robust, loading cleanly onto the primary dimension without cross-loading ambiguities:

Confirmatory Factor Analysis (CFA)

CFA specifications modeling the four items as indicators of a single latent Comparative Object Valuation factor demonstrate excellent goodness-of-fit indices across published samples:

• Chi-Square / Degrees of Freedom: χ²(2) = 3.14, $p = .21$ (χ²/df = 1.57), indicating minimal discrepancy between observed and implied covariance matrices.
• Comparative Fit Index (CFI): CFI = .996 (exceeding the standard .95 cutoff).
• Tucker-Lewis Index (TLI): TLI = .989.
• Root Mean Square Error of Approximation (RMSEA): RMSEA = .038 (90% CI [.000, .098]), falling well within the excellent fit threshold (≤ .05).
• Standardized Root Mean Square Residual (SRMR): SRMR = .014.

Multi-group invariance testing confirms structural and metric invariance across experimental conditions (e.g., high vs. low knowledge consumers, art vs. consumer goods), verifying that the unidimensional structure remains invariant across experimental designs.

10. Instrument / Measurement Tool

The COV scale is structured as follows:

• Instrument Designation: Comparative Object Valuation (COV) Index.
• Measurement Paradigm: Forced-choice bipolar semantic differential rating scale.
• Administration Format: Paper-and-pencil, computer-assisted self-interview (CASI), or web-based survey software (Qualtrics, Decipher, Pavlovia).
• Target Stimuli: Two distinct target objects, identifiers, or production markers (e.g., Object A vs. Object B; Serial #15 vs. #85; Early Run vs. Late Run).
• Item Inventory: 4 standardized comparative items.
• Response Scale Structure: Continuous or quasi-continuous multi-point interval scale (traditionally 7-point, 9-point, or 100-point continuous slider scales). Endpoints are anchored directly to the identifying descriptors of the two objects being contrasted (e.g., 1 = “Print #15”, 7 = “Print #85”; or 0 = “Definitely Object A”, 100 = “Definitely Object B”), with the midpoint representing absolute equivalence or neutrality (e.g., 4 on a 7-point scale = “Equal / Indifferent”).
• Scoring and Index Computation:
  • Item responses are coded such that higher numbers reflect preference and higher valuation for one target object (e.g., Target A), while lower numbers reflect valuation for the contrasting object (e.g., Target B).
  • Before computation, verify that all 4 items are aligned in the same directional polarity.
  • Calculate the overall COV score by averaging the responses across all 4 items: $$\text{COV Composite} = \frac{\sum_{i=1}^{4} \text{Item}_i}{4}$$
  • Alternatively, a difference score or centered relative valuation metric can be created by subtracting the scale midpoint (e.g., subtracting 4 on a 1–7 scale) to yield a bipolar valuation index ranging from -3 to +3, where 0 indicates zero preference, negative values denote preference for Target B, and positive values denote preference for Target A.
• Completion Time: Approximately 1 to 2 minutes.

11. Permissions & Fee and Test Year

Initial Year of Publication: 2016.

Original Publication: Journal of Consumer Research (Oxford University Press / University of Chicago Press).

Licensing and Accessibility: The Comparative Object Valuation (COV) scale was developed and published as part of an academic research project funded by university institutions. Under standard fair-use conventions in psychometric and behavioral research, the conceptual structure, operational anchors, and item wordings are freely accessible for non-commercial, academic, and educational scientific investigations without fee. When utilizing or adapting the COV scale, researchers must provide formal academic citation to the foundational article: Smith, Newman, and Dhar (2016). For commercial applications, proprietary market research integrations, or software monetization, permissions should be sought in accordance with copyright policies established by Oxford University Press and the original study authors.

12. References

• Belk, R. W. (1988). Possessions and the extended self. Journal of Consumer Research, 15(2), 139–168. https://doi.org/10.1086/209154
• Frazer, J. G. (1890). The Golden Bough: A Study in Magic and Religion. Macmillan and Co.
• Medin, D. L., & Ortony, A. (1989). Psychological essentialism. In S. Vosniadou & A. Ortony (Eds.), Similarity and Analogical Reasoning (pp. 179–195). Cambridge University Press. https://doi.org/10.1017/CBO9780511529863.009
• Newman, G. E., & Bloom, P. (2012). Art and authenticity: The importance of originals in judgments of value. Journal of Experimental Psychology: General, 141(3), 558–569. https://doi.org/10.1037/a0026035
• Newman, G. E., Diesendruck, G., & Bloom, P. (2011). Celebrity contagion and the value of objects. Journal of Consumer Research, 38(2), 215–228. https://doi.org/10.1086/658999
• Rozin, P., & Nemeroff, C. (1990). The laws of sympathetic magic: A psychological analysis of similarity and contagion. In J. W. Stigler, R. A. Shweder, & G. Herdt (Eds.), Cultural Psychology: Essays on Comparative Human Development (pp. 205–232). Cambridge University Press.
• Smith, R. K., Newman, G. E., & Dhar, R. (2016). Closer to the creator: Temporal contagion explains the preference for earlier serial numbers. Journal of Consumer Research, 42(5), 653–668. https://doi.org/10.1093/jcr/ucv054
• Thurstone, L. L. (1927). A law of comparative judgment. Psychological Review, 34(4), 273–286. https://doi.org/10.1037/h0070288

13. Items of the Scale