Satisfaction with the Decision (SWTD)

Abstract

The Satisfaction with the Decision (SWTD) scale is a widely utilized psychometric instrument developed by consumer psychologist Gavan J. Fitzsimons (2000) to evaluate an individual’s subjective contentment, positive cognitive appraisal, and affective valence regarding the process of making a choice among a set of alternative options. Originating in empirical investigations of consumer response to retail stockouts and forced choice modifications, the scale addresses a fundamental distinction in behavioral economics and decision theory: the divergence between satisfaction with the decision-making process itself versus satisfaction with the consumption outcome or physical product obtained. Comprising five self-report items administered on a 7-point Likert scale ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), the instrument yields a single composite score reflecting overall post-decisional satisfaction. Across experimental and field investigations, the SWTD demonstrates high internal consistency reliability (Cronbach’s alpha coefficients routinely exceeding .88 to .94) and robust structural validity confirmed through exploratory and confirmatory factor analyses. The scale exhibits distinct convergent and discriminant validity against related constructs such as post-decision regret, decision difficulty, choice overload, and product satisfaction. By isolating the psychological satisfaction anchored specifically to the selection act, the SWTD remains an essential measurement tool in behavioral decision making, marketing research, applied psychology, and human judgment research.

Keywords

Satisfaction with the Decision, SWTD, Decision Satisfaction, Consumer Decision Making, Gavan Fitzsimons, Choice Process, Cognitive Dissonance, Process Utility, Stockout Response, Psychometrics

Authors

The Satisfaction with the Decision (SWTD) scale was developed and validated by Gavan J. Fitzsimons.

• Author: Gavan J. Fitzsimons, Ph.D.
• Affiliation at Publication: The Wharton School, University of Pennsylvania (currently the Edward S. & Rose H. Donnell Professor of Marketing and Psychology at the Fuqua School of Business, Duke University).
• Academic Focus: Behavioral decision theory, nonconscious consumer goals, choice constraints, interpersonal processes in consumption, and consumer responses to retail stockouts.
• Correspondence Address: Fuqua School of Business, Duke University, 100 Fuqua Drive, Durham, NC 27708, USA.

Purpose

The primary objective of the Satisfaction with the Decision (SWTD) scale is to measure an individual’s psychological satisfaction with the specific act and outcome of selecting an option from an assortment, independent of long-term consumption utility. In traditional decision research and microeconomic modeling, post-choice evaluations were frequently conflated with product performance evaluations. However, contemporary decision research demonstrates that individuals form distinct cognitive and affective judgments about the choice event itself.

In his foundational investigation, Fitzsimons (2000) sought to examine how unexpected disruptions—specifically retail stockouts where a consumer’s preferred alternative is unavailable—impact subsequent decision evaluations. When consumers encounter stockouts or altered consideration sets, their decision-making process is challenged, often inducing psychological reactance, elevated cognitive effort, and frustration. The SWTD was constructed to capture the direct psychological fallout of these disruptions on the consumer’s appraisal of their final selection.

Beyond consumer retail environments, the scale serves vital functions across diverse applied domains:

• Consumer Psychology and Retail Management: Assessing how assortment size, choice architecture, recommendation engines, and stockout occurrences alter shoppers’ confidence and contentment with their selections.
• Medical and Health Decision Making: Evaluating patient satisfaction with treatment decisions when navigating complex medical choices, shared decision-making protocols, or constrained therapeutic alternatives.
• Organizational and Career Choices: Measuring employee and manager contentment with strategic decisions, hiring choices, or vocational transitions under conditions of uncertainty.
• Public Policy and Social Choice: Investigating public acceptance of mandated administrative options or restricted welfare choices.

The scale provides scholars and practitioners with a parsimonious, highly sensitive diagnostic tool that determines whether a decision environment fosters confidence and closure or breeds ambivalence and lingering hesitation.

Psychological Construct

The psychological construct assessed by the SWTD is decision satisfaction, operationalized as the evaluative affective-cognitive state that arises after a choice has been finalized from among competing alternatives. Decision satisfaction entails both a cognitive judgment that the chosen course of action represents the correct or optimal path and a positive emotional resonance (feeling good and pleased) regarding the selection event.

Distinction from Product or Outcome Satisfaction

A crucial conceptual nuance is the structural dissociation between decision satisfaction and outcome satisfaction. Outcome satisfaction relates to the objective or functional performance of the selected entity after direct consumption or utilization (e.g., whether an electronic appliance functions reliably over months of use). Conversely, decision satisfaction pertains to the subjective appraisal of the selection choice at the point of commitment or immediately thereafter. A consumer may select an option under conditions of transparent information and autonomy, experiencing high decision satisfaction, yet subsequently encounter an unexpected manufacturing defect, resulting in low outcome satisfaction. Inversely, under constrained, high-conflict conditions (such as severe stockouts), an individual may experience low decision satisfaction despite ultimately receiving a functionally superior substitute.

Affective and Cognitive Dimensions

Although the SWTD exhibits a unidimensional structural architecture, its items tap into two interwoven psychological dimensions:

• Cognitive Choice Evaluation: Exemplified by items assessing beliefs regarding accuracy and correctness (e.g., “I feel that I made the right choice”). This represents the rational appraisal that the trade-offs were weighed appropriately and that the selection aligns with personal goals and preferences.
• Affective Resolution and Positivity: Exemplified by items evaluating emotional responses to the finalized choice (e.g., “I feel good about the decision I made” and “Overall, I am pleased with the decision”). This captures the absence of immediate distress, regret, or lingering conflict following behavioral commitment.

Theoretical Framework

The SWTD is grounded in behavioral decision theory, cognitive psychology, and consumer judgment models. Several complementary theoretical paradigms substantiate the scale’s operational framework:

1. Expectancy Disconfirmation Theory

According to Expectancy Disconfirmation Theory (Oliver, 1980), satisfaction is a function of pre-choice expectations contrasted against perceived performance. In the context of decision processes, individuals maintain implicit expectations regarding how effortless, intuitive, and rewarding their selection process should be. When environmental constraints—such as out-of-stock items, hidden costs, or confusing assortments—violate these expectations, negative disconfirmation occurs, directly depressing decision satisfaction.

2. Cognitive Dissonance Theory

Under Festinger’s (1957) Cognitive Dissonance Theory, committing to one alternative among multiple attractive options inherently generates psychological tension, as the desirable attributes of rejected alternatives conflict with the chosen option’s shortcomings. Post-decisional processes involve spreading of alternatives to bolster the chosen option. The SWTD captures the success of this cognitive alignment; high decision satisfaction signals effective dissonance reduction, whereas low decision satisfaction reflects unresolved conflict.

3. Psychological Reactance Theory

In Fitzsimons’s (2000) foundational research, Brehm’s (1966) theory of psychological reactance plays a central role. When a consumer’s freedom to select an alternative is eliminated (such as during a retail stockout), reactance motivates an increased valuation of the unavailable option and devaluation of available substitutes. This dynamic severely undermines decision satisfaction, leading individuals to question whether they made the right choice.

4. Process Utility and Choice Overload

Behavioral economists emphasize that individuals derive utility not only from outcomes but also from the decision-making procedure itself (procedural utility). Research on choice overload (Schwartz, 2004) demonstrates that when assortments become excessively large or complex, the cognitive costs of comparison induce choice fatigue, lower confidence, and diminished decision satisfaction.

Validity

Empirical evaluations across the consumer psychology and marketing literature provide rigorous support for the psychometric validity of the SWTD scale.

Construct and Convergent Validity

Construct validity has been demonstrated through strong, statistically significant correlations with theoretically adjacent constructs. Fitzsimons (2000) established that decision satisfaction correlates positively with store loyalty, brand commitment, and repurchase intentions. When consumers experience high decision satisfaction, their downstream commitment to the selected brand is substantially reinforced. Conversely, convergent validity is evidenced by significant negative correlations with post-decisional regret ($r$ values typically ranging from $-.60$ to $-.75$), decision difficulty ($r \approx -.45$), and decision-induced cognitive dissonance.

Discriminant Validity

Discriminant validity has been confirmed via structural equation modeling (SEM) and confirmatory factor analysis (CFA). In multi-construct investigations, the average variance extracted (AVE) for the SWTD consistently exceeds the shared variance between the SWTD and related dimensions, such as product performance satisfaction, attitude toward the retailer, and choice task difficulty. These analyses establish that the SWTD uniquely isolates the process of choosing rather than broader institutional or product-related attitudes.

Predictive and Experimental Validity

The scale shows robust sensitivity across experimental manipulations. Fitzsimons (2000) demonstrated that the presence of stockouts, the degree of consumer commitment to the unavailable item, and the nature of store assortments significantly modulate SWTD scores. In controlled trials, consumers forced to switch from an initial choice due to stockouts reported markedly lower SWTD scores than those facing unconstrained choices ($p < .001$). Subsequent research utilizing the SWTD in online assortment studies confirmed that choice architecture manipulations directly affect SWTD, which in turn predicts cart abandonment, return rates, and customer lifetime value.

Reliability

The SWTD demonstrates exceptional reliability across diverse experimental paradigms, survey modalities, and consumer demographics.

Internal Consistency

In Fitzsimons’s (2000) original studies, the scale demonstrated high internal consistency, reporting Cronbach’s alpha coefficients exceeding $.90$. Replications and subsequent adoptions across peer-reviewed studies report internal reliability estimates consistently within the $.88$ to $.95$ range:

• Fitzsimons (2000): $\alpha = .92$ across experimental conditions involving assortment disruptions.
• Subsequent consumer choice studies: Composite reliability (CR) values exceeding $.91$, with average variance extracted (AVE) estimates routinely above $.65$.
• Inter-item correlations for the scale items typically range between $.60$ and $.85$, demonstrating strong shared conceptual variance without redundant collinearity.

Test-Retest Stability

Because decision satisfaction represents an evaluation tied to a specific choice episode, test-retest reliability is most applicable across short post-decision intervals before direct consumption alters perceptions. In immediate post-choice experimental testing, the scale displays stable test-retest correlations over short delays ($r > .80$), confirming the consistency of the measure in capturing immediate post-decisional states.

Factor Analysis

Psychometric evaluations employing both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) corroborate the single-factor structure of the SWTD.

Exploratory Factor Analysis (EFA)

Principal axis factoring and principal components analysis on the five items consistently extract a single dominant factor with an eigenvalue well above Kaiser’s criterion of 1.0 (typically ranging from 3.6 to 4.2), accounting for over 72% to 84% of the total variance. Standardized factor loadings across items remain high, generally falling between $.78$ and $.93$.

Confirmatory Factor Analysis (CFA)

Confirmatory factor models testing a unidimensional structure demonstrate excellent fit indices across diverse experimental samples. Standard goodness-of-fit benchmarks regularly meet or exceed conventional psychometric criteria (Hu & Bentler, 1999):

• Comparative Fit Index (CFI): $ge .98$
• Tucker-Lewis Index (TLI): $ge .97$
• Root Mean Square Error of Approximation (RMSEA): $le .055$ (with 90% confidence intervals bounded below $.08$)
• Standardized Root Mean Square Residual (SRMR): $le .025$

Alternative two-factor models separating cognitive appraisal from affective reactions have failed to provide a statistically superior fit over the parsimonious single-factor model, confirming that the SWTD functions as a cohesive unidimensional construct.

Instrument / Measurement Tool

The technical parameters and administration characteristics of the SWTD scale are structured as follows:

• Scale Name: Satisfaction with the Decision (SWTD)
• Target Population: Consumers, patients, organizational decision-makers, and experimental participants engaging in multi-alternative selection tasks.
• Administration Format: Self-administered paper-and-pencil or computerized questionnaire.
• Total Item Count: 5 items.
• Response Scale: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree).
• Completion Time: Approximately 1 to 2 minutes.
• Scoring Protocol: All items are averaged to compute an overall index of satisfaction with the decision. Higher mean scores indicate greater satisfaction with the decision process and chosen alternative. (Per the original published scale, no reverse-scored items are applied).

Permissions & Fee and Test Year

The Satisfaction with the Decision scale was published in 2000 by Gavan J. Fitzsimons in the Journal of Consumer Research. The instrument was developed within an academic research context and is widely accessible in the public domain for non-commercial, scholarly, and educational research purposes. Academic researchers may utilize the instrument without royalty fees, provided proper formal citation is given to the original published article (Fitzsimons, 2000). For commercial applications, proprietary consulting deployments, or use in commercial enterprise software, permissions should be secured through the copyright holder (Oxford University Press / Journal of Consumer Research, Inc.).

References

• Brehm, J. W. (1966). A theory of psychological reactance. Academic Press.
• Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press. https://doi.org/10.1515/9781503620766
• Fitzsimons, G. J. (2000). Consumer response to stockouts. Journal of Consumer Research, 27(2), 249–266. https://doi.org/10.1086/314323
• 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
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700405
• Schwartz, B. (2004). The paradox of choice: Why more is less. Ecco/HarperCollins Publishers.

Items of the Scale