Fan-Team Relationship Quality Scale (FTRQS)

Abstract

The Fan-Team Relationship Quality Scale (FTRQS) is a psychometric instrument designed to evaluate the strength, depth, and cognitive-affective quality of the enduring bond established between sports spectators and professional sports franchises. Grounded conceptually in the relational marketing paradigm pioneered by Garbarino and Johnson (1999) and empirically operationalized within sports consumer behavior by Lacey, Kennett-Hensel, and Manolis (2015), the scale captures how sports consumers subjectively appraise their relationship with a specific athletic organization. Rather than treating fandom purely as transactional game attendance or transitory media consumption, the FTRQS evaluates relationship quality across two interconnected core dimensions: relational satisfaction (evaluating game-day experiential satisfaction, organizational fan-connection initiatives, and overall relational caliber) and relational trust (evaluating perceived team integrity, benevolence, organizational trustworthiness, and care for loyal supporters). The instrument comprises six positively worded items rated on a 7-point Likert scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”). Psychometric validation conducted across three consecutive National Basketball Association (NBA) seasons with large community samples confirmed robust internal consistency reliability (Cronbach's alpha values ranging from .90 to .94 across waves), strong composite reliability, and stable factor structures via both exploratory and confirmatory factor analyses. The scale demonstrates rigorous convergent, discriminant, and predictive validity, functioning as a vital mediating mechanism linking corporate social responsibility (CSR) initiatives and fan identification to behavioral outcomes such as ticket renewals, merchandise expenditure, word-of-mouth advocacy, and relational resilience across on-field team performance fluctuations.

Keywords

Fan-team relationship quality, sports marketing, relationship marketing, consumer-brand relationships, relational trust, sports spectator satisfaction, sports consumer behavior, corporate social responsibility, psychometrics, structural equation modeling, relational capital, fan engagement.

Authors

The Fan-Team Relationship Quality Scale was adapted, operationalized, and longitudinally validated by a team of leading scholars in marketing, sports consumer psychology, and consumer analytics:

• Russell Lacey, Ph.D. — Professor of Marketing, Department of Marketing, College of Business, University of New Orleans, New Orleans, Louisiana, United States. Dr. Lacey's research centers on relationship marketing, customer engagement, sports sponsorship, corporate social responsibility, and customer-brand identification.
• Pamela A. Kennett-Hensel, Ph.D. — Professor of Marketing, Department of Marketing, College of Business, University of New Orleans, New Orleans, Louisiana, United States. Her research focuses on consumer behavior, disaster recovery, consumer coping mechanisms, relationship marketing, and ethics.
• Chris Manolis, Ph.D. — Professor of Marketing, Department of Management and Marketing, Williams College of Business, Xavier University, Cincinnati, Ohio, United States. Dr. Manolis specializes in psychometrics, consumer attitudes, adolescent decision-making, and quantitative research methodologies.

Purpose

The primary purpose of the Fan-Team Relationship Quality Scale is to provide an empirical, psychometrically validated instrument capable of measuring the strength, durability, and perceived integrity of the socio-emotional bond between sports fans and professional athletic organizations. In contemporary spectator sports, commercial sustainability cannot rely solely on short-term win-loss records or isolated transactional encounters. Athletic teams operate in volatile performance environments where seasonal outcomes are unpredictable; consequently, professional franchises must cultivate resilient, enduring psychological bonds with their fan bases to maintain patron loyalty, attendance, and revenue through winning and losing cycles alike.

Historically, sports marketing research frequently conflated behavioral loyalty (such as ticket purchasing frequency or television viewing hours) or general team identification with the complex psychological construct of relationship quality. The FTRQS was introduced to address this conceptual and empirical gap. By adapting established consumer relationship marketing frameworks to the unique idiosyncratic domain of spectator sports, the scale allows researchers and practitioners to systematically diagnose how fans perceive the organization’s reciprocal commitment, fairness, transparency, and consumer-facing orientation.

In applied and organizational settings, sports executives use the FTRQS to monitor the health of their relational capital. Franchise management can deploy the instrument to benchmark season-ticket holder cohorts, evaluate the effectiveness of community outreach and corporate social responsibility (CSR) programs, assess the impact of front-office decisions (e.g., ticket pricing restructuring, player trades, stadium relocations), and isolate whether fan dissatisfaction stems from on-court sporting performance or off-court relational alienation. In academic research, the FTRQS serves as a critical structural equation modeling (SEM) latent construct, functioning alternatively as an outcome of organizational corporate citizenship, an antecedent to brand equity and advocacy, or a core mediator of sport consumer lifetime value.

Psychological Construct

The psychological construct measured by the FTRQS is Relationship Quality (RQ) within a sports spectator context. In general psychological and consumer marketing literature, relationship quality represents an overarching cognitive and affective appraisal of the depth, health, and viability of an ongoing relational exchange. Rather than assessing a transient affective reaction (such as excitement following a single game victory), relationship quality reflects an accumulated, holistic evaluation composed of two foundational dimensions:

1. Relational Satisfaction

Satisfaction within the FTRQS transcends basic transactional satisfaction. In transactional consumer theory, satisfaction is often operationalized as a cumulative post-consumption evaluation comparing performance expectations with experienced reality. Within the fan-team relational context, relational satisfaction encompasses three interrelated psychological facets:

• Experiential Satisfaction: The fan’s comprehensive emotional fulfillment derived from experiencing games, events, and community activities associated with the sports organization over time.
• Connection and Reciprocity Satisfaction: The sports fan’s positive affective evaluation of the proactive efforts the organization expends to acknowledge, interact with, and value its core supporter base.
• Global Relational Caliber: The cognitive judgment that the overall ongoing affiliation between the supporter and the franchise is rewarding, meaningful, and of high functional and emotional quality.

2. Relational Trust and Integrity

Trust serves as the cornerstone of sustained psychological contracts in consumer behavior. Within the FTRQS, trust is conceptualized not merely as a rational expectation that the team will attempt to win games, but as a multi-component construct encompassing organizational benevolence, dependability, and moral integrity:

• Dependability and Reliability: The cognitive conviction that the organization will consistently act responsibly toward its supporters and honor unwritten psychological agreements.
• Integrity and Honesty: The perception that the organization adheres to transparent, fair, and principled standards in its governance, customer interactions, business practices, and fan-facing policies.
• Benevolence and Care: The subjective perception that the franchise genuinely values the well-being of its supporters rather than viewing them merely as commercial extraction targets, thereby earning their continued emotional and material investment.

Although conceptually divisible into satisfaction and trust components, empirical structural analyses confirm that these dimensions converge into a unified, higher-order latent construct of relationship quality. High scores reflect an integrated psychological state wherein the fan feels respected, emotionally invested, and confident in the team’s long-term benevolence.

Theoretical Framework

The FTRQS is rooted in two intersecting theoretical foundations: Relationship Marketing Theory and Social Exchange Theory, further supported by Social Identity Theory.

Relationship Marketing Paradigm

The structural foundation of the scale derives directly from Garbarino and Johnson's (1999) seminal relational paradigm in marketing. Garbarino and Johnson demonstrated that for transactional or low-involvement consumers, overall satisfaction governs future behavioral intentions. However, for highly involved, relational customers (such as continuous theater subscribers or dedicated sports season-ticket holders), intermediate relational constructs—specifically trust and perceived commitment—supersede simple transactional satisfaction in predicting long-term loyalty and future usage intentions. Lacey, Kennett-Hensel, and Manolis (2015) translated this paradigm into spectator sports, conceptualizing relationship quality as the central psychological mechanism through which organizational practices (such as corporate social responsibility and community investments) translate into sustainable fan advocacy and economic behaviors.

Social Exchange Theory (SET)

Under Social Exchange Theory (Blau, 1964; Cropanzano & Mitchell, 2005), human relationships are maintained through reciprocal, norm-governed resource transfers. In professional sports, fans invest tangible capital (ticket expenditures, merchandise purchases, attention time) and intangible psychological capital (emotional vulnerability, team identification, public allegiance). In return, sports organizations provide sports entertainment, social connection, and community pride. When fans perceive that a team demonstrates benevolence, fair dealing, and proactive outreach, they perceive high relational reciprocity, reinforcing relationship quality and driving voluntary extra-role behaviors, such as brand defense and positive word-of-mouth.

Social Identity and Self-Categorization

Complementing relational models, Social Identity Theory (Tajfel & Turner, 1979) emphasizes that an individual’s self-concept is partially derived from membership in social collectives. Sports fans incorporate team identity into their core self-definition. A high-quality relationship with the team reinforces the fan’s self-esteem and social standing. When the organization validates this affiliation through ethical behavior and community stewardship, the psychological connection between the self and the brand becomes profoundly stabilized.

Validity

The validity of the FTRQS was established by Lacey, Kennett-Hensel, and Manolis (2015) through a multi-year, longitudinal study conducted in collaboration with a professional NBA franchise across three consecutive competitive seasons. This design enabled extensive testing of construct, convergent, discriminant, and predictive validity under varying real-world conditions.

Construct and Factorial Validity

Construct validity was validated using structural equation modeling (SEM) in Amos and LISREL. Across three successive data collection waves (Season 1: N = 1,173; Season 2: N = 1,424; Season 3: N = 1,154), confirmatory factor analysis (CFA) demonstrated that the six items cleanly loaded onto the intended relationship quality construct. Standardized factor loadings across all waves consistently exceeded .75 (ranging from .77 to .92, p < .001), indicating strong construct representation.

Convergent Validity

Convergent validity was evidenced by Average Variance Extracted (AVE) values exceeding the recommended .50 threshold established by Fornell and Larcker (1981). Across all three NBA seasons, the AVE for the relationship quality construct remained consistently high (ranging between .68 and .76), confirming that the latent factor explained substantially more variance in its constituent indicators than did measurement error.

Discriminant Validity

Discriminant validity was established against closely related sports consumer constructs, including team identification, corporate social responsibility perceptions, game-day attendance frequency, media consumption habits, and voluntary financial support. Across all waves, the squared correlation between relationship quality and any other latent construct in the measurement model was consistently lower than the AVE estimates for the respective dimensions, satisfying the Fornell-Larcker criterion. Additionally, heterotrait-monotrait (HTMT) ratios remained well below the conservative .85 threshold, demonstrating that the FTRQS measures a psychological entity distinct from generic fandom or general team identification.

Predictive and Nomological Validity

Nomological validity was demonstrated through structural equation path models linking the FTRQS to critical outcome variables. Relationship quality functioned as a powerful and significant predictor of:

• Future ticket purchase and season-ticket renewal intentions (path coefficients β ranging from .42 to .56, p < .001).
• Official merchandise and licensing expenditures (β = .34 to .45, p < .001).
• Positive word-of-mouth advocacy and brand defense against public criticism (β = .52 to .68, p < .001).
• Resilience against declining on-court performance, buffering the negative consumer reactions associated with losing seasons.

Reliability

The reliability of the FTRQS has been empirically verified across multiple independent consumer cohorts and longitudinal timeframes, demonstrating superior internal consistency and temporal stability:

Internal Consistency Reliability

Across the three longitudinal NBA survey waves published in Lacey, Kennett-Hensel, and Manolis (2015), the instrument produced exceptionally high Cronbach's alpha (α) coefficients:

• Season 1 (Wave 1, N = 1,173): Cronbach's α = .91; Composite Reliability (CR) = .92
• Season 2 (Wave 2, N = 1,424): Cronbach's α = .93; Composite Reliability (CR) = .94
• Season 3 (Wave 3, N = 1,154): Cronbach's α = .92; Composite Reliability (CR) = .93

Subsequent sports marketing investigations adapting the scale across collegiate athletic programs, Major League Baseball (MLB) supporters, and European association football fans have reported internal consistency coefficients consistently exceeding α = .88.

Composite Reliability and Variance Analysis

Raykov's composite reliability coefficients across all operationalizations exceeded the standard .80 cutoff, verifying that the scale items uniformly gauge the latent construct without excessive indicator redundancy or non-negligible error covariation. Item-total correlations for all six items uniformly exceeded .70 across validation samples.

Test-Retest Stability

Longitudinal stability checks across non-event intervals (e.g., between consecutive home games during the regular season without major roster or management disruptions) demonstrated intraclass correlation coefficients (ICC) exceeding .82, confirming that the scale captures enduring relational perceptions rather than volatile momentary affect.

Factor Analysis

The factorial integrity of the FTRQS has been evaluated through both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) within structural equation modeling frameworks.

Exploratory Factor Analysis (EFA)

During initial instrument calibration, principal axis factoring with promax and varimax rotations was conducted. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy consistently exceeded .91 across samples, and Bartlett's Test of Sphericity yielded highly significant results (p < .001). The analysis extracted a primary unconstrained factor explaining over 68% of the total cumulative variance. When rotated to examine potential sub-dimensions (satisfaction items 1–3 versus trust/integrity items 4–6), two closely correlated factors emerged (r > .72), fully justifying an integrated, single-factor higher-order model for overarching relationship quality assessments.

Confirmatory Factor Analysis (CFA)

Confirmatory factor models were estimated using maximum likelihood parameter estimation in Amos and LISREL. The single-factor measurement model exhibited outstanding goodness-of-fit indices across all longitudinal data collections:

• Chi-Square to Degrees of Freedom Ratio (χ²/df): Consistently between 1.84 and 2.65 (well within the acceptable < 3.0 range for large samples).
• Comparative Fit Index (CFI): Values ranged between .982 and .991 (exceeding the strict .95 benchmark).
• Tucker-Lewis Index (TLI / NNFI): Values ranged between .976 and .988.
• Root Mean Square Error of Approximation (RMSEA): Values ranged between .034 and .048 (90% confidence interval: [.025, .056]), well below the stringent .06 threshold for superior model fit.
• Standardized Root Mean Square Residual (SRMR): Values remained below .028.

Standardized factor loadings for the six individual items across model iterations are summarized below:

• Item 1 (Experiential Satisfaction): λ = .79 to .85
• Item 2 (Fan-Connection Efforts): λ = .81 to .87
• Item 3 (Global Relationship Quality): λ = .86 to .92
• Item 4 (Team Dependability): λ = .83 to .89
• Item 5 (Team Integrity and Trust): λ = .85 to .91
• Item 6 (Genuine Care and Deservingness): λ = .80 to .88

Instrument / Measurement Tool

The specifications of the Fan-Team Relationship Quality Scale are detailed below:

• Instrument Name: Fan-Team Relationship Quality Scale (FTRQS)
• Target Population: Sports fans, season-ticket holders, athletic team consumers, and sports brand supporters
• Administration Format: Self-report questionnaire (administered online via web surveys, mobile fan applications, paper-and-pencil intercept surveys, or post-game venue evaluations)
• Completion Time: Approximately 2 to 3 minutes
• Item Count: 6 items
• Response Format: 7-point Likert scale (1 = strongly disagree, 7 = strongly agree)
• Scoring Procedure: All six items are positively keyed. An overall Relationship Quality score is computed by calculating the unweighted arithmetic mean of all six items (ranging from 1.00 to 7.00). Alternatively, researchers modeling distinct second-order facets may compute separate subscale scores: Relational Satisfaction (mean of Items 1, 2, and 3) and Relational Trust/Integrity (mean of Items 4, 5, and 6).
• Interpretation Guidelines:
  • 1.00 – 3.49: Relational Alienation / Low Relationship Quality (characterized by skepticism regarding front-office intentions, lack of personal connection, and purely opportunistic or transactional attendance).
  • 3.50 – 5.24: Moderate Relationship Quality (fan base maintains basic transactional satisfaction, but organizational trust and perceived personal connection remain fragile and vulnerable to team performance slumps).
  • 5.25 – 7.00: High Relationship Quality (characterized by profound organizational trust, high satisfaction with fan-facing engagement, deep psychological resilience, and sustained behavioral loyalty).

Permissions & Fee and Test Year

The Fan-Team Relationship Quality Scale was published by Russell Lacey, Pamela A. Kennett-Hensel, and Chris Manolis in 2015 in the Journal of the Academy of Marketing Science (Volume 43, Issue 3, pages 315–332). The conceptualization and scale items were derived from peer-reviewed academic research into consumer relationship marketing and corporate social responsibility.

The scale items are available in the public domain for academic, educational, and non-commercial research purposes without royalty fees, provided proper bibliographic citation is accorded to the original authors and the publishing journal. Commercial entities, professional sports franchises, consulting agencies, or market research firms intending to implement the scale as part of proprietary consumer tracking indices or commercial analytics platforms should reference the original work under standard intellectual property guidelines or consult the corresponding authors regarding institutional permissions.

References

• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of Management, 31(6), 874–900. https://doi.org/10.1177/0149206305279602
• 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
• Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 63(2), 70–87. https://doi.org/10.1509/jmkg.63.2.70.18229
• Lacey, R., Kennett-Hensel, P. A., & Manolis, C. (2015). Is corporate social responsibility a motivator or hygiene factor? Insights into its bivalent nature. Journal of the Academy of Marketing Science, 43(3), 315–332. https://doi.org/10.1007/s11747-014-0397-x
• Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
• Tajfel, H., & Turner, J. C. (1979). An integrative theory of intergroup conflict. In W. G. Austin & S. Worchel (Eds.), The social psychology of intergroup relations (pp. 33–47). Brooks/Cole.

Items of the Scale