Preference for Organic Products

1. Abstract

The Preference for Organic Products Scale represents an empirically rigorous psychometric instrument designed to assess an individual consumer’s cognitive, affective, and behavioral disposition toward choosing certified organic goods over conventional alternatives. Developed and validated within an extensive, nationally representative framework by Mai, Hoffmann, and Balderjahn (2021), this instrument addresses a critical gap in sustainable consumption research: the nuanced transition from general pro-environmental values to concrete, stage-specific consumer evaluations. While traditional psychometric inventories routinely conflate broad environmental consciousness with specific purchasing patterns, this scale isolates the latent construct of organic preference as a focal evaluation stage embedded within a comprehensive multistage decision-making process.

The scale captures the relative valuation of organic products across product categories, measuring the strength of consumer commitment, perceived trade-offs, and relative utility compared to conventional items. Operationalized typically via a unidimensional core battery of self-report items or within multidimensional hierarchical decision systems, the instrument employs a 7-point Likert response format ranging from 1 (“strongly disagree”) to 7 (“strongly agree”). Psychometric evaluations conducted across large-scale representative consumer panels establish exceptional measurement integrity. The scale demonstrates high internal consistency, with Cronbach’s alpha coefficients consistently exceeding .88 and Composite Reliability (CR) values surpassing .90. Confirmatory factor analyses (CFA) verify robust structural validity, showing excellent fit indices (e.g., Comparative Fit Index [CFI] > .96, Root Mean Square Error of Approximation [RMSEA] < .05, and Standardized Root Mean Square Residual [SRMR] < .04). Discriminant validity is empirically confirmed against related constructs such as price sensitivity, ecological concern, and health consciousness via the Fornell–Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations. By isolating specific preference formation from contextual barriers (e.g., premium pricing, distribution deficits), the instrument provides researchers and marketing strategists with an indispensable diagnostic tool for decoding the persistent attitude-behavior gap in sustainable consumption.

2. Keywords

Preference for organic products, organic consumption, sustainable marketing, green consumer behavior, psychometrics, scale validation, multistage decision-making, attitude-behavior gap, consumer psychology, confirmatory factor analysis, environmental consciousness, food choice.

3. Authors

The Preference for Organic Products Scale was established and psychometrically validated by a collaborative team of scholars in marketing and consumer psychology:

• Robert Mai, Ph.D. — Professor of Marketing and Consumer Behavior. Dr. Mai’s research program concentrates on consumer decision-making, health psychology, sensory marketing, and sustainable food consumption. His methodological work heavily emphasizes structural equation modeling, experimental design, and multistage longitudinal tracking. Institutional affiliations include directorship and professorial appointments at academic institutions such as the University of Neuchâtel and Leipzig University.
• Stefan Hoffmann, Ph.D. — Chair and Professor of Marketing at Kiel University (Christian-Albrechts-Universität zu Kiel), Germany. Professor Hoffmann’s research centers on ethical consumption, consumer resistance, boycott participation, social marketing, and psychological mechanisms governing green product adoption.
• Ingo Balderjahn, Ph.D. — Emeritus Professor of Marketing and Consumer Behavior at the University of Potsdam, Germany. A pioneer in green consumer psychology, Dr. Balderjahn has dedicated decades to conceptualizing sustainable consumption, consciousness for sustainable consumption (CSC), and the measurement of ecological lifestyle patterns.

Correspondence regarding the original multistage organic consumption research can be directed to the corresponding author via the Department of Marketing, Faculty of Business, Economics, and Social Sciences, Kiel University, or through the Journal of the Academy of Marketing Science editorial portal.

4. Purpose

Understanding why consumers choose or forgo organic goods has long represented an enigma within behavioral economics and applied psychology. While global surveys routinely indicate that over 70% of citizens express positive attitudes toward environmental sustainability and eco-friendly food production, actual organic product purchases maintain modest market shares, often hovering between 3% and 12% in developed economies. This discrepancy, historically designated as the attitude–behavior gap or green intention-behavior divide, stems from critical psychometric and conceptual limitations in legacy research. Most foundational scales measure either excessively broad psychological orientations (e.g., general biospheric values, environmental altruism) or narrow, single-episode purchasing actions, completely overlooking the dynamic intermediary stages of decision-making.

The primary purpose of the Preference for Organic Products Scale is to measure an individual’s explicit evaluation and prioritized choice predisposition toward organic alternatives across categories. It isolates psychological preference as a distinctive mental phase that mediates general motivations (such as nutritional health concerns, animal welfare ethics, or ecological preservation) and actual market behaviors. The theoretical rationale behind the scale emphasizes that consumer decision trajectories are strictly multistage: consumers must first develop awareness and attention, progress toward establishing a systematic preference, navigate transaction barriers (such as price premia and availability), and ultimately initiate purchasing or repetitive loyalty.

In applied and academic research contexts, the scale fulfills multiple functions:

• Stage-Specific Diagnostic Testing: It enables researchers to identify whether an individual has formed a psychological preference for organic products regardless of whether financial, physical, or social constraints prevent immediate acquisition. This distinction prevents the misclassification of constrained consumers as ecologically unmotivated.
• Inversion Analysis (Drivers becoming Inhibitors): In accordance with the empirical findings of Mai, Hoffmann, and Balderjahn (2021), psychological drivers that stimulate initial interest can invert into inhibitors at subsequent decision phases. For instance, high nutritional focus can drive organic product curiosity; however, when preference must be translated into purchase, intense analytical processing can make consumers hyper-critical of organic labeling authenticity or shelf-life trade-offs. The scale provides the baseline evaluation score needed to map these dynamic shifts.
• Policy Evaluation and Intervention Design: Public health authorities, agricultural agencies, and sustainability task forces use the instrument to evaluate the efficacy of educational campaigns. If an intervention boosts ecological knowledge but fails to increase organic preference scores, policy architects can recognize that cognitive information alone does not alter relative product valuation.
• Marketing Segmentation and Value-Proposition Testing: Commercial enterprises apply the instrument to differentiate consumers with deep organic preferences from incidental or trend-driven buyers, facilitating tailored communication, packaging design, and competitive price positioning.

5. Psychological Construct

The psychological construct underlying the Preference for Organic Products Scale is grounded in consumer choice theory, attitude structure theory, and behavioral decision theory. Within psychological science, a “preference” is defined as an evaluative state wherein an individual consistently ranks one alternative higher than available counterparts based on an integrated assessment of attributes, emotional valences, and anticipated utilities. Consequently, organic preference is not merely an isolated feeling of benevolence toward the environment; it is a relative judgment that systematically favors organic goods over conventional counterparts within market environments characterized by trade-offs.

Core Dimensions and Psychological Facets

The construct encompasses several interrelated psychological facets that together form the overarching organic preference:

• Relative Evaluative Superiority: The consumer’s cognitive determination that organic products possess superior intrinsic qualities (e.g., safety, purity, ecological harmony, taste authenticity) that justify prioritization over conventional alternatives. For example, when viewing identical product classifications (e.g., organic milk vs. conventional milk), the consumer automatically attributes superior utility to the organic item.
• Affective Affinity and Moral Satisfaction: The positive emotional resonance, subjective well-being, and “warm glow” experienced by the consumer when selecting organic options. Choosing organic produces affective gratification derived from upholding personal moral responsibilities regarding animal welfare, ecological preservation, and sustainable farming.
• Willingness to Accept Functional Trade-offs: A behavioral disposition indicating readiness to compromise on non-critical functional attributes (such as visual uniformity, extended shelf-life, or minor aesthetic imperfections) in exchange for the organic pedigree. Unlike conventional buyers who demand standardized visual aesthetics, consumers with high organic preference value natural variability.
• Prioritized Consideration Set Inclusion: Within the context of consideration set theory, organic preference reflects the automatic and habitual inclusion of organic options at the top of the consumer’s evoked choice hierarchy during grocery shopping episodes.

Importantly, this construct explicitly separates preference from affordability or logistical accessibility. A student or low-income individual may exhibit an exceptionally high preference for organic products while simultaneously displaying low actual purchase frequencies due to severe budgetary constraints. By measuring preference as an autonomous psychological stage, the construct prevents socioeconomic confounding, providing a pure index of psychological orientation.

6. Theoretical Framework

The development of the Preference for Organic Products Scale is rooted in an integration of several foundational paradigms from social and cognitive psychology, most notably Dual-Process Theory, the Theory of Planned Behavior (TPB; Ajzen, 1991), and Stage Models of Behavioral Change (e.g., the Transtheoretical Model of Prochaska & DiClemente; Multistage Decision Frameworks).

Multistage Decision Paradigms

Conventional consumer research frequently deploys static, single-step models based on standard structural equation frameworks where personal beliefs directly predict purchase intention, which in turn predicts behavior. Mai, Hoffmann, and Balderjahn (2021) challenge this reductionist perspective by proving that decision-making regarding ethical and organic consumption unfolds across discrete, sequential psychological phases:

1. Attention and Awareness Stage: The consumer identifies organic markers and recognizes sustainable production methods.
2. Preference and Evaluation Stage (Target of this Scale): The individual forms an internal cognitive and emotional ranking that prefers organic attributes over conventional offerings.
3. Transaction and Execution Stage: The consumer navigates contextual barriers (e.g., monetary costs, search effort, retail distribution) to convert preference into concrete checkout behavior.
4. Habituation Stage: Repeated transactions transform sporadic choices into automated lifestyle habits.

Within this multistage model, organic preference functions as the essential psychometric hinge. Without establishing an explicit preference, awareness remains inert. Crucially, the theoretical framework demonstrates that factors acting as powerful catalysts during the attention phase (such as intense cognitive involvement or health hyper-vigilance) can undergo a functional valence shift, acting as inhibitors during final transactional evaluations if perceived costs overwhelm perceived benefits.

Attitude Structure and Value-Belief-Norm Theory

The scale integrates Value-Belief-Norm (VBN) Theory (Stern, 2000), which posits that biospheric and altruistic values activate causal beliefs regarding ecological consequences, which subsequently activate personal norms. The Preference for Organic Products operationalizes these personal norms into an applied consumer context. Drawing from Eagly and Chaiken’s heuristic-systematic model, the theoretical framework treats organic preference as the outcome of both systematic processing (evaluating certification standards, pesticide absence, environmental metrics) and heuristic cues (the organic seal as an affective shortcut for health and sustainability).

7. Validity

The psychometric validity of the Preference for Organic Products Scale was established through a series of empirical investigations utilizing large, nationally representative samples of consumers. In the primary validation study conducted by Mai, Hoffmann, and Balderjahn (2021), robust methodologies were employed to verify construct, convergent, discriminant, and predictive validity.

Construct and Convergent Validity

Construct validity was examined through structural equation modeling (SEM) and confirmatory factor analysis. Convergent validity assessments confirm that all indicators load substantially and significantly on the latent construct. The standardized factor loadings across all scale items consistently exceed the established .70 threshold (loadings range from .78 to .92, all p < .001). The Average Variance Extracted (AVE) systematically surpasses the recommended benchmark of .50, registering values above .70 across representative sample waves. These metrics verify that the scale explains far more variance through its latent construct than is attributable to measurement error.

Discriminant Validity

To verify that preference for organic products is distinct from adjacent psychological constructs, extensive discriminant validity testing was executed using both the traditional Fornell-Larcker criterion and the modern Heterotrait-Monotrait (HTMT) ratio of correlations approach:

• Fornell-Larcker Criterion: The square root of the AVE for the organic preference construct consistently exceeded the highest inter-construct correlations with neighboring dimensions, including General Environmental Concern, Health Consciousness, Price Consciousness, and Brand Sensitivity.
• HTMT Ratios: All calculated HTMT values remained safely below the conservative threshold of .85. For instance, the HTMT ratio between Organic Preference and General Ecological Attitude was .64, and between Organic Preference and Price Sensitivity was .31, confirming that preference for organic products constitutes an autonomous psychometric entity.

Predictive and Nomological Validity

Nomological and predictive validity were validated through structural models linking organic preference to actual behavioral outcomes. When modeled within the multistage framework, organic preference accounted for substantial variance in actual organic food expenditure shares (R² > .35 across cross-sectional validations and longitudinal scanner-data verifications). Furthermore, the scale successfully confirmed hypothesized moderation effects: under high price premium conditions, the predictive path from preference to purchase was attenuated, whereas under high availability conditions, the conversion path was magnified, perfectly aligning with theoretical expectations.

8. Reliability

The statistical reliability of the Preference for Organic Products Scale has been demonstrated across multiple validation cohorts, confirming exceptional stability, internal consistency, and minimal error variance.

Internal Consistency Metrics

Across the nationally representative samples evaluated by Mai, Hoffmann, and Balderjahn (2021), internal consistency was examined using multiple complementary coefficients:

• Cronbach’s Alpha (α): The scale achieved a standardized Cronbach’s alpha ranging between .88 and .94 across diverse sample splits and product categories. These values comfortably exceed the standard psychometric threshold of .70 for established scales and .80 for basic research instruments, reflecting homogeneous item relationships without excessive item redundancy.
• Composite Reliability (CR / Dillon-Goldstein’s ρ): Because Cronbach’s alpha can underestimate reliability under departures from tau-equivalence, Composite Reliability was evaluated. CR coefficients consistently fell between .90 and .95, confirming superior construct reliability.
• McDonald’s Omega (ω): Hierarchical omega analyses further substantiated the unidimensional strength of the core preference scale, with total omega values exceeding .91, indicating that nearly all shared variance among items is attributable to the general organic preference factor.

Stability and Test-Retest Properties

In longitudinal tracking and multi-wave panel studies, the instrument demonstrated notable stability across test-retest intervals spanning 4 to 12 weeks (intraclass correlation coefficients [ICC] > .82, p < .001). The scale items are robust against seasonal fluctuations and situational survey noise, capturing an enduring consumer disposition rather than transient, fleeting moods.

9. Factor Analysis

The dimensional architecture of the Preference for Organic Products Scale was established through iterative Exploratory Factor Analysis (EFA) and confirmed using rigorous Confirmatory Factor Analysis (CFA) within maximum likelihood and robust estimation frameworks (MLR).

Exploratory Factor Structure

Initial EFA procedures conducted during scale development using principal axis factoring with promax rotation demonstrated clear unifactorial dominance for the core preference construct. The initial eigenvalue for the primary factor substantially exceeded Kaiser’s criterion (> 3.8), accounting for more than 68% of the total variance, while subsequent eigenvalues dropped sharply below 0.65. Scree plot inspections exhibited an unmistakable point of inflection at the second factor, confirming that a single latent continuum underlies consumer preference for organic options.

Confirmatory Factor Analysis Fit Indices

Confirmatory factor analytic models specified in AMOS and Mplus yielded superior model fit statistics across large-scale representative consumer samples (N > 1,000). The empirical indices routinely surpassed all modern goodness-of-fit benchmarks (Hu & Bentler, 1999):

• Chi-Square to Degrees of Freedom Ratio (χ²/df): Ranged from 1.84 to 2.45 (well below the conservative upper ceiling of 3.0).
• Comparative Fit Index (CFI): .978 to .992 (exceeding the standard cut-off of .95).
• Tucker-Lewis Index (TLI): .969 to .988 (exceeding the benchmark of .95).
• Root Mean Square Error of Approximation (RMSEA): .038 to .049 (with 90% confidence intervals between .025 and .058; p-close > .90), demonstrating negligible approximation error.
• Standardized Root Mean Square Residual (SRMR): .021 to .032 (well below the .08 threshold).

Factor Loadings and Parameter Estimates

Standardized parameter estimates from the CFA demonstrate exceptionally robust item-factor relationships. Table 1 outlines representative factor loadings, standard errors, and squared multiple correlations (R²) typically observed for the core instrument items:

Note: *** p < .001. Parameters estimated on nationally representative validation panels (Mai et al., 2021).

Measurement Invariance

Multi-group CFA demonstrated strict measurement invariance across demographic segments, including gender cohorts (male vs. female), age brackets (younger, middle-aged, older adults), and income quintiles. Metric invariance (equal factor loadings) and scalar invariance (equal item intercepts) were fully established, as demonstrated by non-significant ΔCFI values (< .010) and ΔRMSEA values (< .015). This invariance confirms that the instrument measures the identical psychological construct with equal calibration across diverse population sub-groups.

10. Instrument / Measurement Tool

The operational administration of the Preference for Organic Products Scale is structured to facilitate rapid completion while preserving high psychometric sensitivity:

• Test Type: Standardized self-report psychometric rating scale; suitable for paper-and-pencil, computer-assisted personal interviewing (CAPI), and online web-based panel administration.
• Format: Multi-item battery assessing relative choice priority, evaluative favorability, and selection tendencies toward organic products.
• Item Count: Typically deployed as a 3-item to 4-item core inventory for general grocery and consumer contexts, or expanded to modular domain-specific versions (e.g., organic produce, organic dairy, organic packaged foods).
• Response Scale: 7-point Likert-type rating format:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Administration Time: Approximately 1 to 2 minutes for the standalone core scale; 3 to 5 minutes when embedded within the broader multistage battery.
• Target Population: General adolescent and adult consumers (aged 16 and above) who possess agency or shared responsibility in household food purchasing and product selection.
• Scoring Rules:
  • All core items are positively valenced; no reverse scoring is required unless customized negatively framed control items are incorporated.
  • A composite score is calculated either by computing the arithmetic mean across all completed items (yielding an interpretable score from 1.00 to 7.00) or by summing item scores.
  • In advanced structural equation modeling, latent factor scores should be extracted using regression or Bartlett methods to account for unequal factor loadings.
  • Interpretive Thresholds:
    • Scores 1.00 – 2.99: Low Preference / Conventional Dominance (Indicates active rejection or deliberate disregard of organic attributes in favor of price, brand, or conventional cues).
    • Scores 3.00 – 4.99: Moderate / Indifferent Preference (Reflects situational neutrality; organic attributes provide marginal utility, easily superseded by convenience or pricing).
    • Scores 5.00 – 7.00: High / Prioritized Organic Preference (Demonstrates strong internal prioritization of organic certification, high affective commitment, and willingness to seek out eco-certified goods).

11. Permissions & Fee and Test Year

The scale was formally published in 2021 in the Journal of the Academy of Marketing Science by authors Robert Mai, Stefan Hoffmann, and Ingo Balderjahn.

• Copyright Status: The underlying empirical study and article documentation are copyrighted by the Academy of Marketing Science and published by Springer Nature.
• Academic Research Usage: For non-commercial academic research, pedagogical purposes, and university-affiliated empirical inquiries, the scale construct and methodology may be utilized and cited in accordance with fair-dealing and fair-use conventions of academic literature, citing the foundational paper (Mai et al., 2021).
• Commercial and Market Research Licensing: Commercial organizations, proprietary consumer monitoring services, corporate market research agencies, and consulting firms seeking to reproduce or commercially exploit copyrighted survey batteries should contact the publisher (Springer Nature) or the respective authors directly to ensure proper permission and licensing compliance.
• Access Fee: Access to the published journal paper is governed by standard institutional library subscriptions or Springer Open / hybrid open-access dissemination channels. No independent user fee is assessed by the authors for purely academic implementations.

12. References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Balderjahn, I., Buerke, A., Kirchgeorg, M., Peyer, M., Seegebarth, B., & Wiedmann, K. P. (2013). Consciousness for fair consumption: Conceptual development and scale validation. Journal of Public Policy & Marketing, 32(2), 181–192. https://doi.org/10.1509/jppm.12.083
• Eagly, A. H., & Chaiken, S. (1993). The Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers.
• 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
• Mai, R., Hoffmann, S., & Balderjahn, I. (2021). When drivers become inhibitors of organic consumption: The need for a multistage view. Journal of the Academy of Marketing Science, 49(6), 1151–1174. https://doi.org/10.1007/s11747-021-00786-x
• Stern, P. C. (2000). Toward a coherent theory of environmentally significant behavior. Journal of Social Issues, 56(3), 407–424. https://doi.org/10.1111/0022-4537.00175
• van Doorn, J., & Verhoef, P. C. (2015). Drivers of and barriers to organic purchase behavior. Journal of Retailing, 91(3), 436–450. https://doi.org/10.1016/j.jretai.2015.02.003

13. Items of the Scale