Brand Switching Tendency (BSWT)

Abstract

The Brand Switching Tendency (BSWT) scale is a concise, three-item psychometric instrument developed by Robin A. Coulter, Linda L. Price, and Lawrence Feick (2003) to quantify an individual’s intrinsic propensity to alternate across competitive product brands within a specific consumer goods category. Grounded in consumer psychology, the scale isolates intrinsic variety-seeking behavior driven by needs for novelty, sensory exploration, and boredom alleviation, cleanly differentiating these internal psychological motives from extrinsic, situational market drivers such as price promotions, retailer stockouts, or product dissatisfaction. Administered primarily using a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the instrument yields a single composite score reflecting exploratory brand alternating disposition. Empirical evaluations across both developing and mature market economies—originally established within postsocialist Central European cohorts—demonstrate robust psychometric properties. Confirmatory factor analyses systematically support a strictly unidimensional factor structure characterized by standardized factor loadings exceeding .75, high composite reliability coefficients (ranging from .81 to .86), and sound average variance extracted (AVE > .60). The scale demonstrates established convergent validity with generalized optimum stimulation level (OSL) metrics and exploratory purchase behavior inventories, alongside rigorous discriminant validity against enduring brand involvement and affective brand commitment constructs. Its exceptional brevity minimizes participant response burden while maintaining rigorous metric invariance, making it a critical tool in consumer behavior research, market segmentation, and structural modeling of brand loyalty dynamics.

Keywords

Brand Switching Tendency, variety-seeking behavior, optimum stimulation level, consumer psychology, brand commitment, exploratory consumer behavior, brand loyalty, boredom alleviation, psychometrics, Coulter Price Feick 2003

Authors

The Brand Switching Tendency scale was conceptualized, operationalized, and psychometrically validated by the following consumer researchers:

• Robin A. Coulter, Ph.D. — Professor of Marketing, School of Business, University of Connecticut, Storrs, CT, USA. Specialized in consumer culture, brand equity, cross-cultural marketing, and psychological mechanisms of consumer socialization.
• Linda L. Price, Ph.D. — Professor of Marketing, University of Wyoming (formerly at the University of Nebraska-Lincoln and University of Arizona), USA. Internationally recognized for seminal contributions to customer-brand relationships, consumer communities, market mavenism, and qualitative-quantitative methodologies.
• Lawrence Feick, Ph.D. — Professor Emeritus of Business Administration and Marketing, Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA, USA. Expert in word-of-mouth communication, consumer information search, pricing strategies, and international consumer markets.

Purpose

The primary purpose of the Brand Switching Tendency (BSWT) scale is to measure a consumer’s baseline predisposition to switch brands within a product category solely as a manifestation of intrinsic variety-seeking, experiential curiosity, and the mitigation of psychological satiation. Historically, marketing models struggled to distinguish between forced or opportunistic brand migration (e.g., promotional price cuts, retail distribution voids, sudden household budget contractions, functional product failures) and spontaneous, preference-driven brand rotation. Coulter, Price, and Feick (2003) engineered the BSWT to isolate this psychological mechanism during their extensive investigations into consumer-brand relationship formation within transitional, post-communist economic environments.

In applied consumer research, the scale enables researchers and brand strategists to categorize consumer cohorts along an exploratory-inertial spectrum. High-scoring individuals represent variety seekers who perpetually rotate across acceptable consideration sets, whereas low-scoring individuals exhibit brand inertia or true brand commitment. From a clinical and behavioral perspective, the tool assists economic psychologists in investigating consumer self-regulation, impulse control, sensation-seeking phenotypes, and individual thresholds for monotony in repetitive consumption scenarios.

Furthermore, in academic structural equation modeling (SEM), the BSWT functions as a pivotal antecedent, mediator, or moderator. Researchers utilize the instrument to model the psychological friction that offsets the conversion of high brand involvement into durable, affective brand commitment. When consumers demonstrate high involvement coupled with elevated brand switching tendencies, they treat the entire product category as an exploratory playground, dampening the formation of exclusive, long-term brand relationships.

Psychological Construct

The psychological construct measured by the BSWT is Intrinsic Variety-Seeking Tendency at the brand level. Rather than viewing brand switching as an outcome variable composed of raw transactional churn, the BSWT conceptualizes it as a latent psychological trait governed by homeostatic cognitive mechanisms. The construct comprises three core psychological sub-dimensions that operate concurrently within a unidimensional architecture:

1. Novelty Seeking and Curiosity

This dimension reflects a proactive cognitive drive to encounter novel stimuli. Consumers deliberately purchase unfamiliar or non-habitual brands to satisfy epistemic curiosity—the desire to know “what else is out there” and evaluate how alternative formulations, scents, packaging, or brand identities perform against their current baseline. Novelty seeking is not prompted by dissatisfaction with one’s current brand; rather, the potential delight of an untried alternative provides subjective psychological utility that outweighs the cognitive efficiency of habitual repurchasing.

2. Sensory and Category Variety Seeking

Consumption of identical sensory attributes over continuous iterations generates sensory-specific satiety. Even when a consumer evaluates a brand as functionally superior, continuous use dampens hedonic reward. The brand switching construct captures the proactive operationalization of choice diversification to rejuvenate hedonic sensory response. For instance, in fast-moving consumer goods (FMCG) such as cosmetics, shampoos, or gourmet food products, alternating between distinct brands reintroduces sensory divergence, preventing emotional wear-out.

3. Boredom Alleviation and Psychological Satiation

The third facet of the construct addresses an individual’s intolerance for consumption monotony. When purchase decisions become overly predictable, routine becomes psychologically aversive for sensation-oriented individuals. Brand switching functions as a low-risk, immediate mechanism for self-directed arousal elevation. Consumers switch brands not because of rational utility calculation, but to disrupt behavioral monotony and inject experiential dynamism into ordinary daily routines.

Theoretical Framework

The Brand Switching Tendency scale is anchored in several foundational frameworks within cognitive psychology and consumer behavior:

Optimum Stimulation Level (OSL) Theory

Rooted in the psychobiological arousal models of Daniel Berlyne (1960), OSL theory posits that every organism maintains an internal preferred level of environmental stimulation. When environmental stimulation drops below an individual’s personal set-point, boredom ensues, prompting exploratory behaviors to elevate arousal back to baseline. Conversely, when stimulation is excessively high, withdrawal or risk-aversion behaviors emerge. In the context of consumer choices, Raju (1980) and Steenkamp and Baumgartner (1992) established that purchase environments provide an accessible stage for stimulus regulation. Consumers with elevated baseline OSL manifest heightened exploratory buying behavior, utilizing brand switching within low-to-moderate risk categories as a non-threatening venue to regulate psychological arousal.

Sensory-Specific Satiety and the Hedonic Treadmill

McAlister and Pessemier’s (1982) foundational taxonomy of variety-seeking behavior categorizes consumption shifts into derived variety (external changes in context, availability, or multiple users) and direct variety (internal desires for change). The BSWT operationalizes direct variety seeking. Under the framework of sensory-specific satiety (Rolls, 1981), prolonged exposure to a specific stimulus diminishes the perceived hedonic value of that specific item while leaving the hedonic evaluation of untried or alternative stimuli intact. Brand switching is thus the behavioral manifestation of a cognitive drive to restore maximal hedonic response across consumption cycles.

The Postsocialist Market Transition Dynamics

Coulter, Price, and Feick (2003) integrated these behavioral foundations into the macroeconomic context of postsocialist Central and Eastern Europe (specifically Hungary and Romania). During central economic planning, consumers faced extreme product scarcity and state-mandated brand monopolies. Following market liberalization, the sudden influx of Western multinational brands created an unprecedented natural experiment in consumer choice. Coulter et al. demonstrated that brand switching tendencies in such transitional environments were not merely erratic, uninformed consumer behaviors, but rather rational, exploratory learning mechanisms. Consumers actively engaged in brand switching to build market literacy, assert newfound autonomy of choice, and calibrate personal taste profiles against newly available consumer goods.

Validity

The psychometric validity of the BSWT has been evaluated through extensive empirical modeling across diverse product categories and national contexts.

Construct and Convergent Validity

Construct validity is substantiated through high and statistically significant factor loadings on its single latent factor. In Coulter et al. (2003), across diverse sample cohorts evaluating consumer packaged goods, all three scale items yielded standardized parameter loadings ($lambda$) ranging from .76 to .89 ($p < .001$). The construct accounts for substantial shared variance among items, yielding Average Variance Extracted (AVE) estimates consistently exceeding the recommended .50 benchmark (typically ranging between .61 and .72), affirming robust convergent validity.

Discriminant Validity

Discriminant validity was established using the Fornell-Larcker criterion and modern heterotrait-monotrait (HTMT) ratio assessments. Coulter et al. (2003) demonstrated that the AVE for Brand Switching Tendency consistently exceeded the squared inter-construct correlations ($r^2$) between BSWT and theoretically adjacent constructs, including:

• Category Involvement: While consumers can be deeply interested in a product domain, BSWT isolates whether that interest translates into monogamous brand exploration or polymorphic brand trial ($r$ typically ranges from .15 to .30, indicating distinct constructs).
• Affective Brand Commitment: BSWT correlates negatively or orthogonally with brand commitment ($r = -.35$ to $-.52$), confirming that individuals scoring high on switching tendency resist forming deep affective pledges toward single brand entities.
• Price Sensitivity: BSWT maintains low correlation with deal-proneness and price sensitivity ($r < .20$), validating that switching is motivated by intrinsic psychological variety rather than financial economizing.

Predictive and Criterion Validity

Predictive validity has been substantiated across longitudinal purchasing panels and self-reported behavioral tracking. In empirical structural models, high baseline scores on the BSWT prospectively predict a higher number of unique brands purchased within a 6-month window ($R^2$ values ranging from .22 to .38 for category portfolio dispersion). Furthermore, BSWT significantly attenuates the positive path relationship between customer satisfaction and repeat purchase intention, explaining why satisfied consumers frequently defect to competitive offerings in real-world retail settings.

Reliability

The reliability of the three-item BSWT scale has been extensively demonstrated across consumer studies, demonstrating stability across diverse cultural contexts and operational product domains.

Internal Consistency

Coulter, Price, and Feick (2003) reported high internal consistency across both exploratory and confirmatory samples. In their baseline studies spanning Central European consumer cohorts evaluating personal care categories, Cronbach’s alpha ($lpha$) coefficients ranged between .81 and .85. Subsequent replications in Western European, North American, and Asian consumption contexts have reported alpha coefficients consistently between .78 and .88, well above the standard .70 threshold for research instrumentation.

Composite Reliability (CR)

Because Cronbach’s alpha can underestimate reliability under departures from tau-equivalence, researchers evaluate Composite Reliability via structural equation modeling. Across empirical studies utilizing structural covariance matrices, the CR of the BSWT scale consistently exceeds .82 (frequently reaching .86 to .88), confirming that the three indicators demonstrate minimal error variance and uniformly high true-score variance.

Test-Retest Stability

In longitudinal assessments assessing trait stability over 4-week and 8-week intervals, the BSWT demonstrates test-retest correlation coefficients ($r_{tt}$) exceeding .74 ($p < .001$). This confirms that while specific brand selections vary based on situational availability, an individual’s underlying psychological propensity to seek variety remains an enduring, stable individual-difference trait over time.

Factor Analysis

Factor analytic procedures have confirmed the structural integrity of the BSWT instrument across repeated empirical investigations.

Exploratory Factor Analysis (EFA)

In initial exploratory extraction procedures using principal components analysis and maximum likelihood estimation with orthogonal/oblique rotations, the three items consistently load onto a single dominant factor. The eigenvalues for this primary factor uniformly exceed 2.10, explaining between 68% and 78% of the total item variance, with no secondary factors producing eigenvalues above 0.50 (well below the Kaiser criterion of 1.0). Scree plot inspections exhibit a sharp elbow drop immediately after the first factor, confirming unidimensionality.

Confirmatory Factor Analysis (CFA)

Coulter, Price, and Feick (2003) subjected the three-item specification to rigorous confirmatory factor analysis within a larger multi-construct structural model comprising involvement, commitment, and consumer expertise. The measurement model demonstrated excellent goodness-of-fit indices across sample datasets:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2/df$): Values consistently under 2.5, indicating close model-to-data correspondence.
• Comparative Fit Index (CFI): Ranging from .98 to 1.00.
• Tucker-Lewis Index (TLI): Ranging from .97 to .99.
• Root Mean Square Error of Approximation (RMSEA): Estimates ranging from .028 to .052, well below the conservative .06 threshold for superior fit.
• Standardized Root Mean Square Residual (SRMR): Values remaining below .035.

Standardized factor loadings across all three indicators consistently range between .75 and .89, with uniformly small standard errors and fully significant $t$-values ($p < .001$). Multigroup confirmatory factor analyses (MGCFA) across national boundaries (e.g., comparing Hungarian, Romanian, and Western market cohorts) have confirmed configural, metric, and scalar measurement invariance, demonstrating that respondents across disparate cultural frameworks interpret the latent scale indicators equivalently.

Instrument / Measurement Tool

The operational specifications of the Brand Switching Tendency instrument are detailed below:

• Test Type: Self-report psychometric inventory / Consumer attitude scale.
• Target Population: Adult consumers (adolescent to elderly populations) who make independent purchase decisions within retail or digital commerce environments.
• Administration Format: Paper-and-pencil questionnaire, online survey, or computer-assisted personal interviewing (CAPI).
• Item Count: 3 items (unidimensional).
• Response Scale: 7-point Likert-type response format:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neutral (Neither Agree nor Disagree)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Administration Time: Less than 1 minute (approximately 30 to 45 seconds).
• Contextual Adaptation: Researchers typically adapt the prompt to specify a target product category (e.g., “In the category of [Product Category, such as shampoo, cosmetics, or soft drinks]…”).
• Scoring Procedure:
  • All three items are framed positively in the direction of variety seeking (no reverse-scored items).
  • The overall BSWT score is calculated as the unweighted arithmetic mean of the three items (Score Range: 1.00 to 7.00), or as the direct sum (Score Range: 3 to 21).
  • Higher numerical scores reflect a higher intrinsic predisposition to alternate across brands to satisfy novelty, variety, and boredom-reduction motives.

Permissions & Fee and Test Year

The Brand Switching Tendency scale was originally published in 2003 in the following peer-reviewed academic article:

Coulter, R. A., Price, L. L., & Feick, L. (2003). Rethinking the origins of involvement and brand commitment: Insights from postsocialist Central Europe. Journal of Consumer Research, 30(2), 151–169.

Licensing and Research Use: The scale was developed under academic research sponsorship and published in the Journal of Consumer Research (published by Oxford University Press on behalf of the Journal of Consumer Research, Inc.). In accordance with academic fair use standards, the scale items may be utilized without financial charge by academic scholars, university researchers, and graduate students for non-commercial educational and scientific research purposes, provided proper formal bibliographic citation is given to the original authors.

Commercial enterprises, market intelligence firms, and consulting organizations seeking to integrate the instrument into commercial consumer panels or proprietary monetization platforms should consult copyright guidelines and secure appropriate permissions through the Journal of Consumer Research Rights and Permissions portal via Oxford University Press or the Copyright Clearance Center.

References

• Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill. https://doi.org/10.1037/11164-000
• Coulter, R. A., Price, L. L., & Feick, L. (2003). Rethinking the origins of involvement and brand commitment: Insights from postsocialist Central Europe. Journal of Consumer Research, 30(2), 151–169. https://doi.org/10.1086/376802
• McAlister, L., & Pessemier, E. (1982). Variety seeking behavior: An interdisciplinary review. Journal of Consumer Research, 9(3), 311–322. https://doi.org/10.1086/208926
• Raju, P. S. (1980). Optimum stimulation level: Its relationship to personality, demographics, and exploratory behavior. Journal of Consumer Research, 7(3), 272–282. https://doi.org/10.1086/208815
• Rolls, B. J. (1981). Sensory-specific satiety. Nutrition Reviews, 44(3), 93–101. https://doi.org/10.1111/j.1753-4887.1986.tb07593.x
• Steenkamp, J. B. E., & Baumgartner, H. (1992). The role of optimum stimulation level in exploratory consumer behavior. Journal of Consumer Research, 19(3), 434–448. https://doi.org/10.1086/209313

Items of the Scale