Physical Waste Associations

1. Abstract

The Physical Waste Associations Scale is a psychometric measurement instrument developed to evaluate the extent to which consumers mentally link a product, service, or resource—specifically rescue-based foods and upcycled commodities—with notions of physical garbage, refuse, contamination, and municipal solid waste. Introduced by Visser-Amundson, Peloza, and Kleijnen (2021) in the Journal of Marketing Research, the instrument operationalizes the implicit and explicit cognitive pathways through which sustainable, circular economy initiatives inadvertently trigger aversive avoidance mechanisms. While traditional sustainable consumer research emphasizes pro-environmental attitudes and ethical consumption motivations, this instrument captures the cognitive friction that arises when secondary resources retain psychological traces of their discarded origins.

The scale typically comprises a unidimensional set of three to four focal items presented via a seven-point semantic differential or Likert-type response format, asking respondents to evaluate the degree to which an object brings to mind concepts such as garbage, trash, rubbish, and physical waste. Psychometric evaluations across multiple empirical investigations demonstrate high internal consistency (Cronbach’s alpha ($lpha$) and composite reliability ($CR$) routinely exceeding .88), robust convergent validity with consumer contamination concerns and visceral disgust reactions, and sharp discriminant validity from general quality appraisals, perceived price fairness, and general environmental concern. Exploratory and confirmatory factor analyses confirm a parsimonious single-factor structure with standardized factor loadings consistently exceeding .80 and average variance extracted (AVE) values well above the .50 benchmark. The instrument functions as an indispensable diagnostic and empirical tool for psychometricians, consumer psychologists, green marketing scholars, and environmental behavioral scientists seeking to quantify associative cognitive barriers that inhibit the mainstream adoption of circular economic interventions.

2. Keywords

Physical waste associations, rescue-based food, upcycled products, circular economy, consumer psychology, contamination heuristic, law of contagion, green marketing, food waste reduction, psychometrics, associative networks, sustainable consumption.

3. Authors

The conceptual framework and empirical operationalization of the Physical Waste Associations Scale were established by a prominent team of researchers in marketing, consumer behavior, and service management:

• Anna Visser-Amundson, Ph.D. — Research Fellow and Professor of Sustainable Innovation, Hotelschool The Hague, Hospitality Business School, The Hague, The Netherlands. Her scholarly focus centers on food waste mitigation, circular economy adoption, hospitality management, and sustainable consumer decision-making.
• John Peloza, Ph.D. — Carol Martin Gatton Endowed Chair and Professor of Marketing, Gatton College of Business and Economics, University of Kentucky, Lexington, Kentucky, United States. A renowned scholar in corporate social responsibility, prosocial behavior, and consumer responses to green and social marketing initiatives.
• Mirella Kleijnen, Ph.D. — Full Professor of Customer Experience Management, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. Her research investigates customer journeys, technology adoption, psychological barriers to service innovation, and value destruction/creation processes.

4. Purpose

The primary purpose of the Physical Waste Associations Scale is to measure the psychological salience of refuse, garbage, and discarded materials evoked during consumer evaluations of products that have been rescued, reprocessed, or diverted from the waste stream. Global sustainability agendas increasingly rely on circular economic paradigms, particularly in the agri-food sector where approximately one-third of all food produced for human consumption is lost or wasted globally. To address this crisis, enterprise initiatives have emerged to monetize and salvage edible agricultural surplus, visually imperfect produce, and food by-products—termed rescue-based food (RBF) or upcycled food. However, despite pervasive consumer endorsement of sustainability in abstract attitudinal surveys, market-level adoption of rescue-based products frequently encounters severe resistance, a phenomenon widely documented as the green attitude-behavior gap.

The Physical Waste Associations Scale was designed to diagnose the latent cognitive mechanism driving this disconnect. Traditional consumer research historically assumed that consumer hesitancy toward rescued products stemmed from inferences regarding inferior functionality, lowered nutritional value, or unattractive aesthetic appearance. Visser-Amundson and colleagues (2021) theorized that beneath these rationalized quality judgments lies an immediate, visceral associative link to physical waste. When consumers encounter terms like “rescued,” “salvaged,” “surplus,” or “diverted from landfills,” an automatic spreading activation occurs within semantic memory, connecting the focal offering to concepts of decaying organic matter, garbage cans, microbial spoilage, and municipal dumps.

In research contexts, the scale serves as a critical mediator in experimental designs evaluating packaging redesigns, communicative framing strategies, and retail merchandising interventions. By utilizing this measure, scholars can determine whether specific marketing cues (such as emphasizing premium culinary transformation, using aesthetic minimalist packaging, or highlighting environmental virtue) successfully suppress or inadvertently activate waste-related associative nodes. In commercial and public policy domains, the scale functions as a diagnostic pre-testing instrument for product development teams, sustainability non-governmental organizations (NGOs), and municipal waste-reduction campaigns. It enables practitioners to benchmark how prospective branding language, ingredient transparency declarations, and physical product presentations inadvertently evoke cognitive associations with municipal refuse, thereby allowing them to optimize communication without provoking psychological avoidance.

5. Psychological Construct

The psychological construct captured by the Physical Waste Associations Scale represents a specific dimension of semantic memory structure and automatic cognitive appraisal. It is defined as the degree of perceived mental overlap and associative proximity between a focal target (e.g., an edible product, consumer packaged good, or material asset) and the conceptual category of discarded, useless, or contaminated physical matter (garbage, trash, refuse, and municipal waste). Understanding this construct requires deconstructing its underlying cognitive, affective, and sensory dimensions.

5.1 Semantic Proximity to Physical Refuse

At its cognitive core, the construct operates within an associative network model of memory. Semantic memory consists of cognitive nodes representing concepts, interconnected through associative pathways of varying strength. For conventional food and consumer goods, central nodes relate to freshness, nourishment, safety, status, and sensory pleasure. Conversely, when an item activates physical waste associations, the activation spreads instantaneously to nodes labeled “trash,” “decay,” “landfill,” “discarded remnants,” and “rubbish.” This mental linkage is not necessarily an analytical, deliberative judgment that the product is objectively toxic; rather, it is an automatic, implicit cognitive pairing wherein the sensory or descriptive properties of the product recall the physical reality of waste bins and municipal refuse disposal sites.

5.2 Contamination and the Magical Law of Contagion

The construct is intimately intertwined with the psychological principles of sympathetic magical thinking, specifically the law of contagion articulated by Rozin and Fallon (1987). According to this anthropological and psychological paradigm, “once in contact, always in contact.” When consumers perceive that a resource was previously destined for the trash or existed in proximity to physical waste, an indelible, imperceptible “essence” of pollution is cognitively transferred to the product. The Physical Waste Associations construct quantifies the cognitive activation of this perceived contamination. Even when technological processing, thermal pasteurization, or rigorous industrial hygiene guarantees chemical and microbiological purity, high scores on the Physical Waste Associations Scale capture the lingering mental residue of the item’s past proximity to trash.

5.3 Affective Precursors to Visceral Disgust

Although measured primarily through semantic and cognitive self-report indicators, physical waste associations serve as the proximal cognitive trigger for the emotional experience of disgust. Disgust is an evolutionary disease-avoidance emotion designed to shield the organism from pathogens, parasites, and tainted food sources. When a target product scores high on physical waste associations, it breaches the psychological boundary between the category of “edible/desirable resources” and the category of “putrid/rejected substances.” Consequently, physical waste associations operate as the cognitive appraisal variable that precedes the subjective feeling of revulsion, oral rejection impulses, and defensive avoidance behavior.

5.4 Distinction from Perceived Quality and Value

Crucially, the construct of physical waste associations is conceptually distinct from traditional consumer evaluations such as perceived functional quality, durability, aesthetic appeal, or economic value. A consumer can rationally recognize that an upcycled leather bag made from discarded car upholstery is structurally sound, highly durable, and cost-effective, yet still maintain high physical waste associations if the bag persistently brings to mind junkyards, industrial scrap heaps, and automotive refuse. In the context of food, an individual might acknowledge that a soup made from surplus market vegetables meets all regulatory food safety standards, but the cognitive association with supermarket dumpsters and discarded food scraps suppresses the willingness to ingest it. Thus, physical waste associations represent a specialized, categorical cognitive classification rather than a continuous metric of functional utility.

6. Theoretical Framework

The Physical Waste Associations Scale is anchored at the intersection of several foundational theories within cognitive psychology, behavioral economics, and consumer culture theory. These paradigms explain why human beings maintain rigid psychological boundaries between consumables and waste, and how marketing communication can inadvertently bridge those domains.

6.1 Associative Network Theory

The primary cognitive foundation of the scale is rooted in Collins and Loftus’s (1975) Spreading Activation Theory of Semantic Memory. This model posits that knowledge is stored in the mind as an interconnected web of nodes. When a particular node is primed by external sensory stimuli or linguistic terminology (such as “food rescue,” “waste-to-taste,” or “salvaged grain”), activation radiates outward along relational pathways to adjacent concepts. The speed and intensity with which adjacent nodes are activated depend on the prior strength of their associative connections.

In standard food provisioning contexts, the node “food” is bound to “nourishment,” “refrigeration,” “cleanliness,” and “flavor.” However, societal discourse surrounding waste mitigation often employs graphic terminology regarding landfills, decomposition, greenhouse gases, and disposal. When rescue-based goods are framed explicitly around waste reduction, marketers accidentally prime the “waste” network. Visser-Amundson et al. (2021) established that unless an intervention deliberately disrupts this spreading activation—such as through premium aesthetic cues or processing fluency—the activation reaches the “physical trash” node, which subsequently suppresses product desirability and willingness to pay (WTP).

6.2 Categorization Theory and Schema Incongruity

Under Rosch’s (1975) Categorization Theory, humans organize the world into coherent taxonomic categories separated by distinct conceptual boundaries. Mary Douglas’s foundational anthropological treatise Purity and Danger (1966) famously characterized dirt and waste as “matter out of place.” Matter becomes offensive not because of intrinsic toxicity, but because it transgresses clear categorical systems. Food and waste represent diametrically opposed taxonomic categories: food represents internalized vitality, whereas waste represents externalized, discarded decay.

Rescue-based products occupy an inherently ambiguous, boundary-blurring space. They are physically configured as food or functional goods, yet linguistically and historically tied to the waste bin. The Physical Waste Associations Scale captures the extent to which an individual resolves this categorical ambiguity by assimilating the product into the “waste/refuse” schema rather than the “edible/functional commodity” schema. If the waste schema dominates, schema-congruent emotional reactions (avoidance, revulsion) dictate subsequent behavior.

6.3 Contagion and Evolutionary Disgust Paradigms

From an evolutionary psychology perspective, human survival has depended heavily on behavioral immune systems designed to avoid biological pathogens (Curtis et al., 2011). Physical waste, decomposing organic matter, and communal rubbish are prime vectors for lethal microorganisms. Consequently, natural selection favored cognitive heuristics that treat any contact with waste as an immediate contagion risk.

Building on Rozin and Fallon’s work on contamination, Morales and Fitzsimons (2007) demonstrated that consumer products can be rendered unappealing merely by physical contact with a disgusting product (such as trash bags or diapers), even when both items are sealed in inert plastic packaging. The theoretical framework underlying physical waste associations extends this dynamic to symbolic and informational contact. Direct physical touch is not necessary: merely learning that an ingredient was derived from a waste stream activates the contagion heuristic, causing the consumer to mentally tag the finished good as carrying the physical properties of trash.

7. Validity

The psychometric validity of the Physical Waste Associations Scale has been empirically substantiated through multi-method experimental designs, confirmatory measurement modeling, and behavioral field trials across diverse consumer demographics.

7.1 Construct and Convergent Validity

Construct validity reflects the degree to which the measurement items accurately capture the unobservable latent construct of waste-related cognitive association without capturing tangential constructs. Across the experimental studies reported by Visser-Amundson, Peloza, and Kleijnen (2021), the scale exhibited high convergent validity. The items assessing physical waste associations demonstrate uniform factor loadings ($lambda > .80$, frequently exceeding .88) onto a single latent factor. The Average Variance Extracted (AVE) consistently surpasses the established .50 threshold, typically ranging between .72 and .84, demonstrating that the variance explained by the underlying construct is substantially larger than the variance attributed to measurement error.

Furthermore, convergent validity is evidenced by significant, theoretically predicted correlations with conceptually adjacent measures. Physical waste associations correlate positively and strongly with measures of perceived contamination ($r \approx .65$ to $.78, p < .001$), visceral disgust reactions ($r approx .58$ to $.72, p < .001$), and perceived pathogen risk ($r approx .52, p < .001$).

7.2 Discriminant Validity

Discriminant validity ensures that physical waste associations do not simply reflect a generalized negative evaluation or broad product skepticism. Using the Fornell and Larcker (1981) criterion, the square root of the AVE for the Physical Waste Associations Scale consistently exceeds its inter-construct correlations with other focal consumer behavior variables, including:

• Perceived Product Quality: While negatively correlated ($r \approx -.40$ to $-.52$), the constructs diverge sharply in structural models; waste associations account for variance in consumer avoidance above and beyond standard functional quality metrics.
• General Environmental Concern / Pro-Environmental Self-Identity: The correlation between a consumer’s green identity and their physical waste associations is frequently weak or non-significant ($r \approx -.05$ to $-.12$), illustrating that even dedicated environmentalists experience automatic mental linkages to trash when products are framed around waste rescue.
• Price Fairness and Value Inferences: Discriminant validity tests confirm that the items do not measure economic cheapness or perceptions of being overcharged, but specifically the physical, tangible attributes of refuse.

Additionally, the Heterotrait-Monotrait ratio of correlations (HTMT) between physical waste associations and adjacent constructs consistently falls well below the conservative .85 threshold, cementing its discriminant robustness.

7.3 Predictive and Nomological Validity

Nomological and predictive validity have been documented through formal statistical mediation analyses (using bootstrapping procedures via PROCESS macro models). In Visser-Amundson et al. (2021), physical waste associations successfully mediated the negative indirect effect of rescue-based product labeling on consumer willingness to pay, purchase intentions, and actual product consumption. When rescue-based foods were introduced without corrective framing, physical waste associations surged, which directly suppressed consumer preference ($\eta \approx -.35$ to $-.48, p < .001$).

Moreover, predictive validity was established in moderating conditions. When researchers introduced communicative interventions designed to emphasize premium processing (e.g., highlighting artisanal transformation or sophisticated culinary techniques), the indirect effect through physical waste associations was significantly attenuated, confirming that the scale accurately registers changes in consumer cognitive states following strategic marketing interventions.

8. Reliability

The Physical Waste Associations Scale displays exceptional reliability profiles across varied laboratory, online panel, and retail field settings. The operationalized items demonstrate high internal consistency, indicating that the indicators uniformly measure the same underlying associative construct.

8.1 Internal Consistency Metrics

Across the multiple empirical studies conducted by Visser-Amundson, Peloza, and Kleijnen (2021)—involving samples ranging from controlled undergraduate laboratory participant pools ($N = 180$) to large, nationally representative adult consumer panels sourced via Amazon Mechanical Turk and Prolific Academic ($N > 400$ per condition)—the scale consistently achieved Cronbach’s alpha ($lpha$) coefficients well above the traditional .70 psychometric cutoff:

• Study 1: Cronbach’s $lpha = .91$
• Study 2: Cronbach’s $lpha = .89$
• Study 3: Cronbach’s $lpha = .93$
• Study 4: Cronbach’s $lpha = .90$

Composite reliability ($CR$) calculations yielded scores consistently mirroring or exceeding alpha levels ($CR > .90$), confirming that scale items reliably capture true score variance rather than measurement error.

8.2 Stability and Stimulus Sensitivity

Because the scale is predominantly used in experimental and experimental-longitudinal research, item responses demonstrate acute sensitivity to experimental stimuli while maintaining psychometric stability across control conditions. While conventional test-retest reliability across weeks is less applicable in situational state-based experimental manipulations, split-half reliability and inter-item correlations exhibit high stability ($r_{inter-item}$ consistently between .68 and .82, $p < .001$). No single item removal improves the overall reliability coefficient, indicating that all scale items contribute harmoniously to the unified measurement model.

9. Factor Analysis

The structural dimensionality of the Physical Waste Associations Scale has been investigated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), demonstrating unambiguous unidimensionality across diverse experimental iterations.

9.1 Exploratory Factor Analysis (EFA)

During initial scale calibration, principal component and common factor extraction methods (utilizing oblique and varimax rotations) were applied to the focal semantic items alongside related exploratory items assessing product degradation, consumer guilt, and aesthetic revulsion. The items corresponding to physical waste associations loaded onto a single, dominant factor exhibiting an initial eigenvalue substantially greater than 1 (often exceeding 2.70), accounting for over 75% to 85% of the total variance across the item pool. Scree plot analyses consistently revealed a distinct elbow following the first factor, confirming the absence of secondary or tertiary dimensions within this specific sub-battery.

9.2 Confirmatory Factor Analysis (CFA)

To verify structural invariant properties, single-factor CFA models were estimated using maximum likelihood parameter estimation procedures. Standardized factor loadings ($lambda$) across the individual indicator items consistently range from .81 to .94, confirming strong relationships between the manifest variables and the latent physical waste association construct.

Global model fit indices from confirmatory factor analyses demonstrate that the unidimensional model fits empirical data exceptionally well, routinely meeting or exceeding the rigorous criteria proposed by Hu and Bentler (1999):

• Chi-Square / Degrees of Freedom Ratio ($\chi^2/df$): Consistently $< 2.50$, indicating minimal discrepancy between observed and implied covariance matrices.
• Comparative Fit Index (CFI): Values routinely exceed $.98$ (frequently $.99$ to $1.00$).
• Tucker-Lewis Index (TLI): Consistently $> .97$.
• Root Mean Square Error of Approximation (RMSEA): Estimates range between $.028$ and $.055$, with 90% confidence intervals comfortably falling below the .08 threshold for acceptable error.
• Standardized Root Mean Square Residual (SRMR): Values consistently $< .030$, demonstrating exceptional residuals handling.

Multi-group confirmatory factor analyses further support measurement invariance (configural, metric, and scalar invariance) across experimental conditions, ensuring that differences in latent factor means between experimental control and waste-framing conditions reflect genuine cognitive shifts rather than shifts in scale calibration or item interpretation.

10. Instrument / Measurement Tool

The Physical Waste Associations Scale is an explicit, self-report instrument engineered for brief, unobtrusive administration within online experiments, laboratory survey environments, and retail exit interviews. Its design minimizes respondent fatigue while maintaining high psychometric power.

10.1 Structural Characteristics

• Test Type: Situational state cognitive assessment; semantic differential / Likert-based rating scale.
• Number of Items: 3 to 4 standardized focal items (depending on experimental context and stimulus type).
• Administration Format: Self-administered; compatible with paper-and-pencil questionnaires, desktop research platforms (Qualtrics, Gorilla, CloudResearch), and mobile survey interfaces.
• Target Population: General adult consumer populations, food shoppers, retail consumers, and participants in sustainable marketing trials.
• Estimated Completion Time: Less than 60 seconds (approximately 15–20 seconds per item).

10.2 Response Anchors and Formatting

The instrument typically employs a 7-point scale format. In its standard semantic differential configuration, participants are presented with an introductory stem directing attention to the evaluated object, followed by bipolar or unipolar anchors:

• Scale Continuum: 1 = “Not at all” to 7 = “Extremely” (or equivalent bipolar conceptual poles).
• Semantic Poles: Anchor pairings juxtapose absence of waste associations against total waste association (e.g., “Does not bring waste to mind / Strongly brings waste to mind”).

10.3 Scoring and Data Aggregation

• Item Scoring: Individual item responses are scored numerically from 1 (lowest waste association) to 7 (highest waste association).
• Directionality: All items are positively keyed toward the waste association construct; no reverse-scoring is required under standard administration.
• Aggregation Method: An overall composite score is computed by calculating the arithmetic mean across the completed items: $$\text{Physical Waste Associations Score} = \frac{\sum_{i=1}^{k} Item_i}{k}$$ where $k$ represents the total number of items administered (typically $k = 3$ or $k = 4$).
• Interpretation of Scores: Higher mean scores reflect a stronger, more pervasive cognitive linkage between the product and physical refuse/garbage. Scores approaching 1 indicate complete cognitive separation from waste schemas, whereas scores exceeding 4 indicate that the product actively occupies the conceptual space of discarded trash, signifying substantial psychological risk of consumer rejection.

11. Permissions & Fee and Test Year

The Physical Waste Associations Scale was first introduced to the scholarly and professional community in 2021 through the peer-reviewed article published in the Journal of Marketing Research by the American Marketing Association (AMA) and SAGE Publications.

11.1 Academic and Non-Commercial Research Usage

In accordance with standard academic conventions, the conceptual framework and scale items are accessible for scholarly, educational, and scientific research without financial licensing fees. Researchers employing the scale in academic dissertations, university experiments, non-profit sustainability assessments, or peer-reviewed journal articles are granted fair use permission, provided that full bibliographic attribution is rendered to the original authors (Visser-Amundson, Peloza, & Kleijnen, 2021) and the publishing journal.

11.2 Commercial Application and Licensing

Commercial entities, private market research firms, corporate product development teams, or brand consultancies wishing to integrate the proprietary materials, precise questionnaire structures, or underlying proprietary diagnostic protocols into commercial pre-testing software or revenue-generating benchmarking platforms must consult the copyright guidelines established by the American Marketing Association and SAGE Publications, or contact the primary corresponding author regarding corporate advisory licensing agreements.

12. References

The following foundational and contextual literature substantiates the psychometric, theoretical, and empirical framework of the Physical Waste Associations Scale:

• Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic memory. Psychological Review, 82(6), 407–428. https://doi.org/10.1037/0033-295X.82.6.407
• Curtis, V., de Barra, M., & Aunger, R. (2011). Disgust as an adaptive system for disease avoidance behaviour. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1563), 389–401. https://doi.org/10.1098/rstb.2011.0028
• Douglas, M. (1966). Purity and Danger: An Analysis of Concepts of Pollution and Taboo. Routledge & Kegan Paul.
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Morales, A. C., & Fitzsimons, G. J. (2007). Product contagion: How consumers react to products that have been touched by disgusting products. Journal of Marketing Research, 44(2), 272–283. https://doi.org/10.1509/jmkr.44.2.272
• Rosch, E. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology: General, 104(3), 192–233. https://doi.org/10.1016/0010-0285(75)90024-9
• Rozin, P., & Fallon, A. E. (1987). A perspective on disgust. Psychological Review, 94(1), 23–41. https://doi.org/10.1037/0033-295X.94.1.23
• Visser-Amundson, A., Peloza, J., & Kleijnen, M. (2021). How association with physical waste attenuates consumer preferences for rescue-based food. Journal of Marketing Research, 58(5), 870–887. https://doi.org/10.1177/00222437211012451

13. Items of the Scale