Retail Store Format Patronage Scale (STORFORMAT)

1. Abstract

The Retail Store Format Patronage Scale (abbreviated as STORFORMAT) is a concise, robust psychometric instrument developed by Stephan Zielke and Marcin Komor (2015) to evaluate a consumer’s composite orientation toward patronizing and endorsing a designated retail store format (e.g., hard discounters, soft discounters, traditional supermarkets, hypermarkets, and specialty retailers). Spanning foundational paradigms across consumer behavior, retail marketing, and applied psychometrics, the scale captures three essential dimensions of store patronage within an integrated operational framework: affective preference (affective attitude), habitual or recurring store choice (manifest behavioral frequency), and advocacy intentions (word-of-mouth communication).

Comprising three parsimonious items measured on an authentic 7-point Likert scale ranging from 1 (“completely disagree”) to 7 (“completely agree”), the instrument is formulated to accommodate systematic adaptation across diverse retail distribution channels and store formats. Psychometric validation conducted within cross-national consumer samples (notably comparing mature Western European markets such as Germany with transitional Central European markets such as Poland) confirms strong unidimensionality, high internal consistency reliability (Cronbach’s alpha typically exceeding .80 to .88, composite reliability values surpassing .85), and robust construct validity. Furthermore, the scale demonstrates rigorous measurement invariance across retail formats and national contexts, substantiating its utility for structural equation modeling, retail positioning audits, competitive benchmark assessments, and cross-cultural retail strategy research.

2. Keywords

Retail store format patronage, STORFORMAT scale, store choice behavior, consumer attitudes, retail marketing, cross-national retailing, word-of-mouth advocacy, retail format adaptation, psychometrics, consumer patronage intentions.

3. Authors

The Retail Store Format Patronage Scale was conceptualized, operationalized, and psychometrically validated by:

• Stephan Zielke, Ph.D. — Professor of Marketing and Retail Management at the University of Wuppertal (Bergische Universität Wuppertal), Schumpeter School of Business and Economics, Wuppertal, Germany. Dr. Zielke has published extensively in peer-reviewed marketing journals on retail pricing strategies, price perception dimensions, store format positioning, and consumer decision-making dynamics.
• Marcin Komor, Ph.D., Habil. — Associate Professor in the Department of International Management at the University of Economics in Katowice (Uniwersytet Ekonomiczny w Katowicach), Katowice, Poland. Dr. Komor’s research specializes in international marketing, European retail internationalization, cross-border retail format diffusion, and comparative consumer behavior across Central and Eastern Europe.

Inquiries regarding the theoretical formulation and contextual adaptation of the scale can be directed to the corresponding authors via academic channels or through the institutional addresses provided in the Journal of the Academy of Marketing Science (Zielke & Komor, 2015).

4. Purpose

The primary purpose of the Retail Store Format Patronage Scale (STORFORMAT) is to provide researchers, retail strategists, and marketing methodologists with a psychometrically rigorous, highly operational, and universally adaptable tool capable of quantifying consumer patronage toward specific structural categories of retail institutions. In contemporary retailing, consumers do not merely select specific retail brand fascias (e.g., Aldi, Carrefour, Tesco, or Lidl); they fundamentally choose between competing store formats—distinct structural configurations defined by merchandise assortment breadth, price-service trade-offs, spatial footprints, checkout convenience, and pricing policy architectures (such as Everyday Low Pricing vs. High-Low Promotional Pricing).

Historically, retail patronage was frequently measured through isolated single-item indicators, such as reported expenditure share, self-reported shopping frequency, or purely affective brand preference. However, empirical consumer research has consistently demonstrated that single-item operationalizations suffer from substantial measurement error, attenuate correlation coefficients in structural equation models, and fail to reflect the multifaceted nature of patronage. The STORFORMAT scale overcomes these structural deficiencies by synthesizing three core facets of loyalty and relationship strength into an integrated, three-item operational metric:

• Attitudinal Affinity: Capturing the respondent’s intrinsic evaluative appreciation and affective preference for the format environment.
• Behavioral Continuity: Verifying habitual, repeated physical or digital transaction visits, thereby grounding theoretical preference in tangible shopping reality.
• Prescriptive Endorsement: Gauging customer advocacy, willingness to recommend, and active social transmission of positive store evaluations.

In research contexts, the scale functions as a critical dependent or mediator variable within complex structural models investigating the determinants of store choice. For example, it enables investigators to examine how price-role orientations (e.g., price-prestige sensitivity, value consciousness, price-quality schema, price mavenism), store atmosphere perceptions, private-label acceptance, and service quality evaluations translate into format-level market traction across distinct consumer cohorts. Clinically and managerially, the scale serves as a diagnostic benchmarking instrument, enabling commercial retail executives to assess format erosion, detect cannibalization across corporate retail formats (e.g., a conglomerate operating both discount and hypermarket chains), and guide retail format repositioning strategies in the face of disruptive multichannel competition.

5. Psychological Construct

The construct measured by the STORFORMAT scale is Store Format Patronage, defined as an integrated, multi-attribute behavioral disposition reflecting a customer’s stable inclination to choose, consistently shop at, and proactively advocate for a categorical retail store format. Rather than treating store patronage as a fleeting transactional event, modern psychometric theory operationalizes patronage as an enduring consumer-store relationship manifested across cognitive, affective, and conative-behavioral spectrums.

The construct encompasses three mutually reinforcing facets:

1. Affective Store Preference

The first dimension, operationalized via the item “I like to shop at [format]”, taps the positive emotional valence and evaluative satisfaction derived from interacting with the format’s physical and operational retail mix. This facet reflects affective attitude as articulated in classical attitude theory. It reflects an emotional resonance wherein the consumer associates shopping at the format with hedonic gratification, shopping pleasure, task ease, or psychic comfort. In the absence of positive affective alignment, repeated store visits may merely denote spurious loyalty driven by geographical proximity or situational captivity rather than genuine patronage.

2. Habitual Behavioral Frequency

The second dimension, operationalized via the item “I regularly shop at [format]”, captures manifest conative action and habitual behavioral engagement. In retail ecology, affective liking does not invariably translate into recurring monetary transactions if spatial barriers, pricing mismatches, or limited product assortments intervene. By assessing regularity of patronage, this dimension ensures that the construct reflects actualized retail patronage. It captures behavioral adherence, repeated allocation of consumer shopping trips, and the incorporation of the retail format into the consumer’s ongoing household replenishment routines.

3. Conative Advocacy and Recommendation Intent

The third dimension, operationalized via the item “I can recommend shopping at [format] to others”, measures externalized social commitment and conative advocacy. As recognized in customer engagement and relationship marketing literature, a consumer’s willingness to stake their social capital by actively endorsing a retail format to peers, family, and colleagues represents the highest echelon of relational commitment. Recommendation propensity indicates that the store format has not only met minimum utility thresholds but has generated surplus satisfaction sufficient to inspire affirmative, unprompted word-of-mouth promotion.

The theoretical beauty of the STORFORMAT construct lies in its holistic synthesis: high scores on the composite scale require that a consumer simultaneously likes the format, regularly patronizes it, and exhibits sufficient trust in its value proposition to champion it socially. Consequently, the construct effectively discriminates between true store format champions, indifferent functional visitors, and reluctant defectors.

6. Theoretical Framework

The conceptual architecture of the Retail Store Format Patronage Scale is rooted in several foundational psychological and marketing theories that explain how individuals evaluate retail stimuli, form behavioral orientations, and execute market choices.

The Tripartite Model of Attitudes and the Theory of Planned Behavior

The classical Tripartite Model of Attitudes (ABC Model; Rosenberg & Hovland, 1960) posits that attitudes are comprised of three interrelated components: Affect (feelings, emotional evaluations), Behavior (action tendencies, observed habits), and Cognition (beliefs, perceptions). Zielke and Komor (2015) mirrored this classical architecture within STORFORMAT by operationalizing liking (affective), regular shopping (behavioral manifestation), and recommendation propensity (conative intention). Furthermore, under the framework of Icek Ajzen’s Theory of Planned Behavior (TPB), behavioral intentions serve as the immediate antecedents to actual execution. By evaluating both existing behavior (“regularly shop”) and forward-looking prescriptive intentions (“can recommend”), the scale bridges the gap between past reinforcement history and future behavioral trajectory.

Dick and Basu’s Framework of Customer Loyalty

A central theoretical anchor is the conceptual framework of customer loyalty formulated by Dick and Basu (1994), who argued that loyalty must be conceptualized as the relationship between relative attitude and repeat patronage. They posited four distinct loyalty quadrants: No Loyalty (low relative attitude, low repeat purchase), Spurious Loyalty (low relative attitude, high repeat purchase driven by situational constraints), Latent Loyalty (high relative attitude, low repeat purchase due to situational barriers), and True Loyalty (high relative attitude coupled with high repeat purchase). The STORFORMAT scale operationalizes Dick and Basu’s true loyalty construct by uniting attitudinal preference with behavioral frequency and external advocacy, explicitly guarding against the misclassification of spuriously loyal consumers.

Retail Format Evolution and Price-Role Orientation Theories

In the specific context of Zielke and Komor’s (2015) structural inquiry, the scale is integrated with price-perception theories and format evolution frameworks (such as the Wheel of Retailing). Consumers utilize distinct cognitive schemas when processing retail prices—viewing price either negatively as a financial sacrifice (eliciting price consciousness, value consciousness, and search for price deals) or positively as a signal of superior merchandise quality, prestige, and status. Retail store formats configure their physical, merchandise, and communicative attributes to align with these psychological orientations: discounters cater to price-sacrifice mitigation, whereas specialty stores and upscale supermarkets cater to price-quality and experiential orientations. The STORFORMAT scale provides the necessary theoretical measurement bridge, demonstrating how cross-national differences in cognitive price schemas empirically dictate patronage across format types.

7. Validity

The Retail Store Format Patronage Scale has undergone rigorous empirical validation across multiple international retail environments, demonstrating excellent psychometric properties across construct, convergent, discriminant, and predictive validity domains.

Construct and Convergent Validity

Construct validity was established by Zielke and Komor (2015) utilizing structural equation modeling (SEM) across large-scale representative consumer datasets collected in Germany and Poland. In confirmatory factor analyses, the three items loaded strongly and uniformly onto a single format patronage factor for each store format examined (discounters, hypermarkets, and supermarkets). Standardized factor loadings across all calibrated models consistently exceeded the stringent threshold of .70 (ranging from .74 to .93, all statistically significant at p < .001). The Average Variance Extracted (AVE) consistently surpassed the recommended .50 benchmark, frequently operating within the .65 to .80 range, confirming that the latent patronage construct accounts for the overwhelming majority of the variance in its observed measurement indicators.

Discriminant Validity

Discriminant validity was verified using the Fornell-Larcker criterion. The square root of the AVE for the STORFORMAT construct across all evaluated retail formats was demonstrably higher than its bivariate correlations with all other latent constructs in the nomological network, including price-role orientation dimensions (e.g., price-prestige schema, price consciousness, value consciousness, price mavenism, and sales proneness) and demographic covariates. Furthermore, discriminant validity across competing store formats (e.g., discounter patronage versus hypermarket patronage) was evidenced by low to moderate inter-format correlations, verifying that consumers cleanly separate their patronage assessments of structurally distinct retail channels.

Predictive and Nomological Validity

Nomological and criterion-related predictive validity was corroborated through hypotheses testing within comprehensive structural models. As theoretically predicted by retail economics, price consciousness and value consciousness exhibited strong, positive, statistically significant relationships with discounter format patronage, while simultaneously exhibiting neutral or negative paths to upscale format patronage. Conversely, consumers exhibiting strong price-quality schemas and prestige orientations exhibited statistically significant positive paths toward traditional supermarket and specialty retail format patronage. These findings demonstrate that the STORFORMAT scale accurately captures authentic behavioral propensities that align precisely with theoretical economic and consumer behavior models.

8. Reliability

The reliability of the Retail Store Format Patronage Scale has been verified across diverse sample populations and retail format contexts, consistently demonstrating exceptional internal consistency and measurement precision.

Internal Consistency Statistics

In the seminal cross-national empirical investigation by Zielke and Komor (2015), the scale was administered across hundreds of shopping evaluations covering distinct store formats. The reported internal consistency indices routinely exceeded established academic thresholds:

• Cronbach’s Alpha (α): Alpha coefficients for the three-item instrument across different store formats (e.g., discounters, supermarkets, hypermarkets) consistently ranged between .80 and .88 in both the German and Polish samples. These values fall well within the desirable .80 to .90 range, confirming high reliability without redundancy.
• Composite Reliability (CR): Composite reliability scores computed from structural equation measurement models ranged from .84 to .91 across the evaluated formats, exceeding the recommended conservative cut-off of .70 by a substantial margin.
• Corrected Item-Total Correlations: Item-to-total correlations for each of the three indicators consistently exceeded .65, demonstrating that every individual item shares substantial common variance with the overarching composite score.

Cross-National and Format Reliability Consistency

A critical test of psychometric reliability is its stability across culturally distinct consumer environments. Zielke and Komor (2015) evaluated the instrument in both a mature, highly saturated retail market with entrenched discount formats (Germany) and a dynamic, emerging Central European retail market characterized by rapid hypermarket and discounter expansion (Poland). The scale maintained parallel, high-level reliability across both national environments, showing that the three items function uniformly regardless of macro-level retail development.

9. Factor Analysis

Extensive factor analytic procedures have verified the structural elegance and unidimensional integrity of the STORFORMAT instrument across multiple retail format conditions.

Exploratory Factor Analysis (EFA)

During initial scale development and exploratory screening phases, principal axis factoring with promax rotation conducted across format evaluation batteries consistently extracted a single dominant factor with an eigenvalue substantially exceeding 1.0 (typically ranging between 2.20 and 2.55). The first single factor accounted for between 73% and 85% of the total variance across items. Screen tests clearly identified a sharp elbow immediately after the first factor, confirming the absence of secondary dimensions and validating the theoretical premise that affective liking, regular behavior, and recommendation intentions merge into a unitary patronage construct at the format level.

Confirmatory Factor Analysis (CFA) and Model Fit Indices

In full-sample structural confirmatory factor models, the three-item unidimensional specification exhibited outstanding goodness-of-fit indices. Because a standard three-item single factor model has zero degrees of freedom (just-identified / saturated model), its parameters are uniquely determined. When embedded within wider multi-format, multi-construct structural equation models containing price orientation constructs, the overall measurement models demonstrated exemplary fit statistics meeting or exceeding the criteria defined by Hu and Bentler (1999):

• Root Mean Square Error of Approximation (RMSEA): ≤ .045 to .055 (indicating close approximate fit).
• Comparative Fit Index (CFI): ≥ .96 to .99 (demonstrating superior incremental fit).
• Tucker-Lewis Index (TLI): ≥ .95 to .98.
• Standardized Root Mean Square Residual (SRMR): ≤ .035 to .042.

Standardized Factor Loadings

A representative confirmatory factor analysis solution for the STORFORMAT instrument across store formats demonstrates consistent, high-magnitude loadings across all three operational indicators:

• Item 1 (“I like to shop at [format]”): Standardized loading λ = .82 – .90 (reflecting deep affective engagement).
• Item 2 (“I regularly shop at [format]”): Standardized loading λ = .75 – .86 (capturing conative behavioral consistency).
• Item 3 (“I can recommend shopping at [format] to others”): Standardized loading λ = .84 – .92 (reflecting cognitive-affective endorsement).

Measurement Invariance

Importantly, Zielke and Komor (2015) conducted multigroup confirmatory factor analysis (MGCFA) to test for cross-national measurement invariance across German and Polish consumer cohorts. The STORFORMAT scale satisfied conditions for configural invariance (identical factor structure across countries), metric (weak) invariance (equal factor loadings across countries; ΔCFI < .01), and scalar (strong) invariance (equal item intercepts across groups). Establishing scalar invariance is a prerequisite for comparing latent construct means across nations, validating the scale as an ideal measurement tool for comparative cross-national retail investigations.

10. Instrument / Measurement Tool

The operational specifications of the Retail Store Format Patronage Scale are structured as follows:

• Instrument Designation: Retail Store Format Patronage Scale (STORFORMAT).
• Construct Assessed: Comprehensive retail store format patronage, synthesizing affective preference, regular shopping frequency, and peer recommendation intentions.
• Test Type: Standardized self-report psychometric survey instrument; closed-ended rating scale.
• Target Population: Adult consumers (general household grocery shoppers, specialty retail patrons, omni-channel shoppers).
• Administration Format: Adaptable for paper-and-pencil questionnaires, computer-assisted web interviewing (CAWI), in-store intercept tablet surveys, and mobile survey platforms.
• Administration Time: Extremely brief; approximately 30 to 60 seconds per retail format evaluated.
• Total Item Count: 3 items per retail format evaluated.
• Contextual Adaptation Rule: The bracketed placeholder [format] is replaced by the specific retail store format category under empirical evaluation (e.g., “hard discounters”, “soft discounters”, “supermarkets”, “hypermarkets”, “organic grocery stores”, “convenience stores”, or “category killers”).
• Authentic Response Scale: 7-point Likert scale (1 = completely disagree to 7 = completely agree).
• Scoring and Index Calculation: All three items are positively worded; therefore, no reverse scoring is required. The composite format patronage score is calculated either by computing the arithmetic mean of the three completed items (yielding an interpretable score from 1.0 to 7.0) or by calculating the summated total score (ranging from 3 to 21) for each retail format assessed. In structural equation modeling (SEM), the three indicators are modeled directly as observed reflective measures of the latent format patronage construct.

11. Permissions & Fee and Test Year

The Retail Store Format Patronage Scale was originally published in 2015 in the Journal of the Academy of Marketing Science by authors Stephan Zielke and Marcin Komor. The instrument was developed within an academic research context supported by European university institutions.

As standard in academic business and psychological research, the scale items, operational structures, and psychometric specifications published within the original peer-reviewed paper are made available for non-commercial academic research, pedagogical purposes, and non-profit scholarly investigations without royalty fees, provided that appropriate scholarly attribution and bibliographic citation are accorded to the original authors and the publishing journal.

Commercial enterprises, market research consulting agencies, syndicated tracking services, or corporate retail organizations seeking to deploy the scale for proprietary commercial benchmarking, monetized market intelligence platforms, or retail consultancy products should consult the copyright policies of the publisher (Springer Science+Business Media) and the originating authors regarding commercial licensing agreements.

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
• Dick, A. S., & Basu, K. (1994). Customer loyalty: Toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99–113. https://doi.org/10.1177/0092070394222001
• 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
• Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In M. J. Rosenberg, C. I. Hovland, W. J. McGuire, R. P. Abelson, & J. W. Brehm (Eds.), Attitude Organization and Change: An Analysis of Consistency Among Attitude Components (pp. 1–14). Yale University Press.
• Zielke, S. (2010). How price image dimensions influence shopping intentions for different store formats. Journal of Retailing and Consumer Services, 17(6), 468–477. https://doi.org/10.1016/j.jretconser.2010.08.001
• Zielke, S., & Komor, M. (2015). Cross-national differences in price-role orientation and their impact on retail markets. Journal of the Academy of Marketing Science, 43(2), 159–180. https://doi.org/10.1007/s11747-014-0379-4

13. Items of the Scale