Commitment to the Relationship (CTTR)

1. Abstract

The Commitment to the Relationship (CTTR) scale is a concise, psychometrically robust three-item self-report instrument developed by Kristof De Wulf, Gaby Odekerken-Schröder, and Dawn Iacobucci (2001) to evaluate a consumer’s enduring motivation and psychological pledge to maintain an ongoing commercial exchange with a specific retailer or service provider. Originating within the paradigm of relationship marketing, the scale operationalizes relationship commitment not as a passive state of transactional inertia or habitual repatronage, but as an active, affect-laden, and conative dedication characterized by psychological attachment, loss aversion, and a willingness to invest reciprocal personal effort. The instrument uses a 7-point Likert scale anchored from 1 (“Strongly disagree”) to 7 (“Strongly agree”), yielding a composite index through summative or arithmetic mean scoring.

Empirically validated through a cross-national, cross-industry structural equation modeling study involving thousands of consumers across the United States, Belgium, and the Netherlands in both food and apparel retail sectors, the CTTR scale demonstrates exceptional psychometric stability. Confirmatory factor analyses across distinct cultural and retail contexts have consistently evidenced high internal consistency (Cronbach’s alpha coefficients routinely exceeding .80 to .90; composite reliability values above .85), strong unidimensionality, high standardized factor loadings, and robust convergent and discriminant validity relative to neighboring constructs such as perceived relationship investment, relationship satisfaction, and trust. Consequently, the CTTR scale remains one of the most widely cited and utilized instruments in empirical marketing, consumer psychology, and service management research.

2. Keywords

relationship commitment, relationship marketing, consumer loyalty, customer retention, De Wulf, psychometrics, consumer-brand relationships, perceived relationship investment, affective commitment, retail patronage, customer equity, structural equation modeling

3. Authors

The Commitment to the Relationship scale was formulated, validated, and published by a distinguished international team of marketing scholars and quantitative methodologists:

• Kristof De Wulf: Full Professor of Marketing and former Academic Dean at Vlerick Business School, and associated with Ghent University, Belgium. Dr. De Wulf specializes in customer relationship management, digital consumer behavior, retail marketing, and consumer centricity.
• Gaby Odekerken-Schröder: Professor in Customer-Centric Service Science at Maastricht University School of Business and Economics, the Netherlands. Her research investigates relationship marketing, healthcare service management, service robot interactions, and customer experience.
• Dawn Iacobucci: E. Bronson Ingram Professor of Marketing at the Owen Graduate School of Management, Vanderbilt University, United States (formerly faculty at Northwestern University’s Kellogg School of Management and the Wharton School of the University of Pennsylvania). Dr. Iacobucci is a world-renowned methodologist in structural equation modeling, social network analysis, multivariate statistics, and service quality.

4. Purpose

The primary purpose of the Commitment to the Relationship (CTTR) scale is to capture, quantify, and model the psychological and motivational bonds that bind an individual consumer to a retail establishment or commercial vendor. Historically, marketing literature frequently conflated relationship commitment with repeated behavioral transactions, such as purchase frequency or visit volume. However, behaviorist metrics fail to distinguish between true relational loyalty and spurious loyalty caused by convenience, switching barriers, monopoly structures, or situational constraints. The CTTR scale was engineered to isolate the psychological state of commitment, defined as an enduring desire to maintain a valued relationship.

In research contexts, the scale addresses the necessity for a brief yet psychometrically rigorous instrument capable of functioning effectively within complex, multi-construct structural equation models. Extensive surveys measuring end-to-end customer relationship management (CRM) frameworks often suffer from respondent fatigue when constructs rely on lengthy batteries. By distilling commitment into three potent, highly loaded indicators, De Wulf, Odekerken-Schröder, and Iacobucci (2001) provided scholars with an efficient measurement tool that minimizes measurement error while capturing the core affective and intentional facets of relational bonding.

In applied management and market research, the scale is routinely deployed to assess customer portfolio health, evaluate customer relationship investment programs, model customer lifetime value, and audit the efficacy of loyalty schemes. Retailers use the CTTR to identify segments of highly committed “brand champions” who are insulated against competitive price promotions, demonstrate resilience in the wake of service failures, and serve as organic brand advocates. By establishing whether retail strategies (e.g., personalized communication, preferential treatment, loyalty rewards) translate into enhanced relationship commitment, organizations can optimize marketing expenditures and reduce customer churn.

5. Psychological Construct

The psychological construct assessed by the CTTR scale is consumer relationship commitment. Within the broader psychological taxonomy of interpersonal and inter-organizational bonds, commitment is conceptualized as a stabilizing force that directs behavioral persistence toward a specific relational partner over time, even in the presence of competing alternatives or localized friction.

While the CTTR scale is operationalized as a unidimensional construct, its constituent items reflect three interrelated psychological dimensions drawn from affective, cognitive, and conative domains:

• Conative Proactivity and Sacrificial Intent (“Going the Extra Mile”): The first item evaluates a consumer’s willingness to exert discretionary effort, tolerate inconveniences, or incur non-monetary costs to sustain patronage. In psychological terms, this captures behavioral intention guided by intrinsic motivation rather than external compulsion. When a consumer agrees to “go the extra mile,” they demonstrate that the relationship has acquired utility beyond mere transactional efficiency.
• Anticipated Negative Affect and Perceived Relational Value (“Hate to Lose”): The second item measures the emotional salience and subjective value of the bond by tapping into anticipated loss aversion. Grounded in prospect theory and emotional attachment theories, this indicator assesses the degree to which terminating or altering the relationship would induce psychological distress, regret, or perceived loss of social and functional capital.
• Social Identification and Affective Attachment (“Sense of Belonging”): The third item taps into the consumer’s self-concept and psychological integration with the retailer. Reflecting the principles of social identity theory, a “sense of belonging” indicates that the consumer views the commercial establishment as an extension of their personal community, aligning their self-identity with the values, atmosphere, and social group associated with the brand.

Importantly, the construct differs fundamentally from trust (the confident belief in an exchange partner’s reliability and integrity) and relationship satisfaction (an affective, cumulative evaluation of past exchange experiences). Rather, relationship commitment represents the future-oriented decision to remain invested, reflecting the conviction that the relationship is sufficiently vital to justify active maintenance.

6. Theoretical Framework

The Commitment to the Relationship scale is grounded primarily in Morgan and Hunt’s (1994) Commitment-Trust Theory of Relationship Marketing (the Key Mediating Variable [KMV] model). Morgan and Hunt posited that relationship commitment and trust are the central mediating constructs that distinguish successful relational exchanges from short-term, opportunistic transactions. Drawing from earlier foundational definitions in organizational sociology (e.g., Moorman, Zaltman, & Deshpandé, 1992), commitment is established as the enduring belief by an exchange partner that an ongoing relationship is so important as to warrant maximum efforts at maintaining it.

The scale also derives theoretical support from Caryl Rusbult’s Investment Model of interpersonal relationships, which itself extends Social Exchange Theory (Homans, 1958; Blau, 1964; Kelley & Thibaut, 1978). Under this paradigm, commitment is an endogenous psychological state determined by three primary antecedents: satisfaction level, the quality and availability of alternatives, and investment size. De Wulf et al. (2001) integrated this perspective by investigating how a retailer’s perceived investments in a relationship (e.g., direct mail, preferential treatment, interpersonal communication) trigger the norm of reciprocity (Gouldner, 1960). When consumers perceive that a vendor has made deliberate, non-retrievable investments in the relationship, they experience a psychological obligation to reciprocate via heightened relationship commitment, behavioral loyalty, and relational equity.

Furthermore, the conceptualization draws from Albert Hirschman’s (1970) classic framework of Exit, Voice, and Loyalty. Under Hirschman’s model, true relational commitment provides the psychological buffer that prevents immediate “exit” when service imperfections arise, fostering constructive “voice” and staunch “loyalty.” Thus, the CTTR scale captures commitment as a stabilizing mechanism that insulates both parties from market volatility.

7. Validity

The psychometric validity of the CTTR scale has been extensively documented in the literature through rigorous statistical evaluations, beginning with the landmark cross-national study by De Wulf, Odekerken-Schröder, and Iacobucci (2001):

• Construct and Convergent Validity: In the original validation across four distinct subsamples—comprising consumers of food supermarkets and apparel stores in the United States, Belgium, and the Netherlands—confirmatory factor analysis (CFA) demonstrated high, statistically significant standardized factor loadings for all three indicators (consistently exceeding .75 and frequently reaching .85 to .92, p < .001). The Average Variance Extracted (AVE) for the commitment construct systematically surpassed the recommended .50 threshold, establishing that the variance captured by the underlying latent construct is substantially larger than the variance attributable to measurement error.
• Discriminant Validity: Discriminant validity was empirically substantiated using the Fornell-Larcker criterion and nested chi-square difference tests. The squared correlations between commitment and related relational constructs—specifically Perceived Relationship Investment (PRI), Relationship Satisfaction (RS), and Trust—were significantly lower than the individual AVE values of each respective construct. Constraining the correlation between commitment and trust or satisfaction to unity (1.0) resulted in a statistically significant deterioration in model fit (Δχ² significant at p < .001), corroborating that CTTR measures a discrete theoretical entity.
• Nomological and Predictive Validity: Within the structural equation model, relationship commitment functioned as an essential mediating variable between relationship quality antecedents and objective/subjective customer loyalty outcomes. Specifically, CTTR demonstrated strong, positive predictive paths toward behavioral loyalty dimensions, including share of wallet, purchase frequency, store visit frequency, and customer advocacy/word-of-mouth.
• Cross-Cultural and Cross-Industry Invariance: The scale exhibited high multi-group structural invariance across multiple languages (English and Dutch) and distinct retail sectors (low-involvement grocery retail vs. higher-involvement apparel retail), demonstrating that the measurement properties of the three items remain invariant across differing cultural and shopping environments.

8. Reliability

The internal consistency reliability of the CTTR scale is exceptionally high for a three-item instrument. Across the empirical datasets analyzed by De Wulf et al. (2001), the scale demonstrated robust reliability metrics across cultural contexts and retail categories:

• Cronbach’s Alpha (α): Reliability estimates for the three-item composite scale ranged between .84 and .91 across the various national and industry samples:
• United States Apparel Retail: α ≈ .89
• United States Food Supermarkets: α ≈ .87
• Belgium Apparel Retail: α ≈ .88
• Belgium Food Supermarkets: α ≈ .85
• Netherlands Apparel Retail: α ≈ .90
• Netherlands Food Supermarkets: α ≈ .84
• Composite Reliability (CR): In structural equation modeling frameworks, the composite reliability coefficients routinely exceeded .86, far surpassing Bagozzi and Yi’s (1988) recommended threshold of .70 for psychometric acceptability.
• Item-to-Total Correlations: Corrected item-total correlations across all items consistently exceed .65, indicating that each item shares substantial common variance with the overarching latent construct. Deletion of any of the three items leads to a reduction in total Cronbach’s alpha, validating the retention of all three indicators.

9. Factor Analysis

The structural composition of the CTTR scale was scrutinized through both exploratory and confirmatory factor analyses. Initial exploratory examinations confirmed a single dominant eigenvalue explaining over 75% of the total variance across all tested consumer populations, with no secondary factors emerging above Kaiser’s criterion of 1.0.

Subsequent Confirmatory Factor Analysis (CFA) conducted via maximum likelihood estimation in structural equation modeling programs (such as LISREL and AMOS) demonstrated excellent goodness-of-fit indices across single-group and multi-group models:

• Standardized Factor Loadings (λ):
  • Item 1 (“extra mile”): λ = .78 to .85 (t-values > 18.0)
  • Item 2 (“hate to lose”): λ = .82 to .91 (t-values > 20.0)
  • Item 3 (“sense of belonging”): λ = .80 to .88 (t-values > 19.0)
• Model Fit Indices: In multi-sample full structural and measurement models, the observed fit statistics systematically met or exceeded rigorous psychometric benchmarks:
  • Comparative Fit Index (CFI) ≥ .96
  • Goodness-of-Fit Index (GFI) ≥ .95
  • Adjusted Goodness-of-Fit Index (AGFI) ≥ .92
  • Root Mean Square Error of Approximation (RMSEA) ≤ .05 (with 90% confidence intervals spanning .03 to .06)
  • Standardized Root Mean Square Residual (SRMR) ≤ .04

Measurement invariance testing confirmed both metric invariance (equal factor loadings across countries and retail formats) and scalar invariance (equal item intercepts), verifying that score differences across demographic and geographic cohorts accurately reflect genuine differences in latent relationship commitment rather than artifactual measurement bias.

10. Instrument / Measurement Tool

The parameters, administration requirements, and scoring procedures for the CTTR instrument are detailed below:

• Construct Measured: Consumer Commitment to the Relationship (affective, loss-averse, and conative dedication to a commercial provider).
• Test Type: Self-report psychological / marketing rating scale.
• Target Population: Adult consumers, shoppers, and commercial clients across retail, service, and business-to-consumer environments.
• Administration Format: Paper-and-pencil, online computer-assisted survey, or mobile questionnaire; adaptable for self-administration or structured field interviews.
• Completion Time: Approximately 30 to 60 seconds (high efficiency allows seamless integration into broader multi-construct diagnostic surveys).
• Number of Items: 3 items.
• Response Scale: Authentic 7-point Likert scale:
  • 1 = Strongly disagree
  • 2 = Disagree
  • 3 = Somewhat disagree
  • 4 = Neither agree nor disagree (Neutral)
  • 5 = Somewhat agree
  • 6 = Agree
  • 7 = Strongly agree
• Scoring and Aggregation Rules: None of the three items are reverse-coded. Scoring can be executed via:
  • Mean Index: Calculating the unweighted arithmetic mean of the three items (range: 1.0 to 7.0). Higher composite scores indicate stronger psychological commitment to the vendor.
  • Summative Score: Summing the integer values across the three items (range: 3 to 21).
  • Latent Variable Modeling: Utilizing the three items as direct observed indicators in structural equation modeling to extract a measurement-error-free latent factor score.
• Contextual Adaptability: The placeholder term “[store]” is routinely replaced by researchers with the target organization’s commercial name (e.g., “[Target]”, “[Amazon]”, “[the bank]”, “[the service provider]”).

11. Permissions & Fee and Test Year

The Commitment to the Relationship scale was published in 2001 in the Journal of Marketing, the premier peer-reviewed scholarly journal of the American Marketing Association (AMA). The instrument is widely accessible in the public academic domain for non-commercial academic research, empirical theses, and educational applications, subject to standard scholarly attribution and citation of the foundational paper (De Wulf, Odekerken-Schröder, & Iacobucci, 2001).

No license fee is required for independent academic researchers utilizing the items for empirical investigation. Commercial organizations, consulting entities, or proprietary software platforms wishing to incorporate the instrument into commercial diagnostics or commercial syndicated products should observe standard copyright regulations governed by the American Marketing Association / SAGE Publications and secure formal permissions where applicable.

12. References

• Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• De Wulf, K., Odekerken-Schröder, G., & Iacobucci, D. (2001). Investments in consumer relationships: A cross-country and cross-industry exploration. Journal of Marketing, 65(4), 33–50. https://doi.org/10.1509/jmkg.65.4.33.18386
• 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
• Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161–178. https://doi.org/10.2307/2092623
• Hirschman, A. O. (1970). Exit, voice, and loyalty: Responses to decline in firms, organizations, and states. Harvard University Press.
• Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
• Kelley, H. H., & Thibaut, J. W. (1978). Interpersonal relations: A theory of interdependence. John Wiley & Sons.
• Moorman, C., Zaltman, G., & Deshpandé, R. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314–328. https://doi.org/10.1177/002224379202900303
• 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
• Rusbult, C. E. (1980). Commitment and satisfaction in romantic associations: A test of the investment model. Journal of Experimental Social Psychology, 16(2), 172–186. https://doi.org/10.1016/0022-1031(80)90007-4

13. Items of the Scale