Felt Social Exclusion (FSE)

Abstract

The Felt Social Exclusion (FSE) scale is a psychometric instrument designed to capture subjective, transient perceptions of relational devaluation, social isolation, and interpersonal disconnection. Originally formalized within experimental consumer psychology and behavioral science by Su, Jiang, Chen, and DeWall (2017), the instrument assesses the acute psychological state provoked when individuals perceive that they are being kept apart from a social collective, rebuffed by peers, or denied interpersonal belonging. The scale comprises three concise, stimulus-neutral items: “excluded,” “rejected,” and “left out.” Administered predominantly with a multi-point Likert response format (typically spanning from 1 [“Not at all”] to 7 [“Extremely”] or 9 [“Very much”]), the scale yields an averaged composite score reflecting unidimensional state social exclusion.

Psychometrically, the FSE demonstrates exceptional internal consistency, with Cronbach’s alpha coefficients regularly exceeding .88 and frequently reaching between .91 and .96 across lab-based experiments, online crowdsourced samples (e.g., Amazon Mechanical Turk, Prolific), and field investigations. Confirmatory factor analyses (CFA) systematically confirm a single-factor, unidimensional latent structure characterized by standardized factor loadings consistently above .85. The measure exhibits robust convergent validity through pronounced correlations with fundamental psychological need threat (belonging, self-esteem, meaningful existence, and personal control) and negative affect, while preserving discriminant validity against generalized sadness, anger, and baseline state anxiety. Its structural brevity and semantic neutrality render it an optimal manipulation check in experimental paradigms such as the Cyberball ball-tossing task, the life-alone prognostic paradigm, and episodic relational recall tasks, while offering broad utility in organizational, consumer, and socio-emotional research.

Keywords

Felt Social Exclusion, social rejection, ostracism, need to belong, manipulation check, relational devaluation, consumer switching behavior, social psychology, psychometrics, state exclusion

Authors

The Felt Social Exclusion (FSE) scale was operationalized and published by an interdisciplinary team of researchers in consumer behavior, marketing, and social psychology:

• Liyin Su — Department of Marketing, School of Economics and Management, Tsinghua University, Beijing, China. Primary areas of inquiry include consumer judgment, social influence, and cognitive-emotional responses to threats.
• Ying Jiang — Department of Marketing and Entrepreneurship, Faculty of Business and Economics, University of Melbourne, Melbourne, Victoria, Australia. Specializes in consumer decision-making, goal regulation, and psychological dynamics under interpersonal distress.
• Zengxiang Chen — School of Business, Renmin University of China, Beijing, China. Researches compensatory consumption, social relationship dynamics, and behavioral marketing.
• C. Nathan DeWall — Department of Psychology, University of Kentucky, Lexington, Kentucky, United States. A leading expert on the neurobiology and social psychology of social rejection, ostracism, physical versus social pain overlap, and interpersonal aggression.

Purpose

The primary purpose of the Felt Social Exclusion (FSE) scale is to provide a brief, psychometrically sound, and conceptually pure assessment of the subjective phenomenological state of being socially marginalized, rebuffed, or excluded. In contemporary empirical psychology, social exclusion serves as a central independent variable across hundreds of experimental studies annually. Researchers frequently manipulate interpersonal belonging using diverse methodologies, such as the Cyberball virtual ball-tossing paradigm (Williams, Cheung, & Choi, 2000), bogus personality feedback forecasting a solitary future life (Twenge et al., 2001), or autobiographical episodic recall of relational severance (Gardner, Pickett, & Brewer, 2000).

Historically, investigators relied on lengthy, multidimensional batteries (such as general mood indices or broad 20-item need threat inventories) to verify whether an induction successfully generated perceived isolation. However, lengthy manipulation checks frequently cause demand characteristics, induce respondent fatigue, or inadvertently dissipate the brief, evanescent affective footprint of the experimental manipulation before the dependent variables can be assessed. The FSE scale directly remedies these methodological vulnerabilities by offering a three-item operationalization that targets the core feeling of relational exclusion without convolving the affective, cognitive, or behavioral coping sequelae that follow it.

Beyond experimental manipulation checks, the FSE is increasingly deployed in applied settings, including consumer behavior, organizational dynamics, educational contexts, and digital interaction research. In consumer psychology, as demonstrated by Su et al. (2017), the scale serves as a critical mediator explaining how threats to social connectedness systematically impair perceived personal control, thereby motivating compensatory consumer switching behavior (e.g., choosing unfamiliar brands, varying variety-seeking choices) to reclaim personal agency. In organizational behavior, the tool facilitates the state monitoring of workplace ostracism, micro-exclusions in distributed or remote work teams, and perceived managerial marginalization.

Psychological Construct

The psychological construct captured by the FSE is felt social exclusion, conceptualized as an acute, phenomenological awareness of relational devaluation and disconnection from a group or individual. Social exclusion is a multifaceted umbrella term encompassing ostracism (being ignored without explicit negative feedback), rejection (explicit declaration of unwantedness), and marginalization (passive or structural abandonment). The FSE targets the experiential common denominator binding these operational variations together.

Although mathematically unidimensional, the scale reflects three tightly intertwined semantic facets:

• Perceived Exclusion: The cognition that physical or communicative boundaries have been erected by an ingroup or dyad, barring the focal individual from inclusion, shared resources, or communal discourse. For instance, in an organizational setting, an employee who notices colleagues convening a closed-door project meeting without issuing an invitation experiences elevated perceived exclusion.
• Perceived Rejection: The explicit affective-cognitive acknowledgment of interpersonal rebuff, active denial of affiliation, or direct refusal of engagement. Unlike passive neglect, rejection carries an overt evaluative judgment wherein the actor perceives that their presence, contribution, or identity has been deemed undesirable or defective by relational partners.
• Perceived Left Outness: The experiential state of being forgotten, overlooked, or left behind by a social collective. It captures the psychological void created when others move forward collaboratively, leaving the isolated individual feeling untethered from the shared social reality.

Crucially, felt social exclusion represents an immediate state appraisal rather than a permanent personality trait or chronic disposition (e.g., chronic loneliness or rejection sensitivity). It reflects a psychological snapshot of the individual’s perceived relational standing at a specific juncture in time. By isolating the immediate perception of being excluded, rejected, and left out, the FSE avoids confounds with generalized distress, depression, self-esteem collapse, or specific threat reactions (e.g., hostility or aggressive impulses).

Theoretical Framework

The theoretical scaffolding of the Felt Social Exclusion scale rests upon several foundational paradigms in social, evolutionary, and personality psychology:

1. The Need to Belong Theory

Baumeister and Leary (1995) posited that the drive to form and maintain strong, stable, and positive interpersonal relationships is a fundamental human motivation. Deprivation of belonging activates acute cognitive, affective, and behavioral alarm responses designed to identify relational deficits and orient the organism toward remedial social reconnection. The FSE scale directly taps into the immediate perceptual detection of this fundamental deprivation.

2. The Temporal Need-Threat Model of Ostracism

Williams (2009) formulated the Temporal Need-Threat Model, which delineates the trajectory of social exclusion into three chronological stages: the reflexive stage, the reflective stage, and the resignation stage. In the immediate, reflexive stage, even minimal or ambiguous cues of ostracism trigger a sharp psychological “sting” and imperil four fundamental human needs: belonging, self-esteem, meaningful existence, and personal control. The FSE operates at the nexus of the reflexive and early reflective phases, assessing whether the sensory and contextual cues of an experimental condition successfully registered as a genuine belonging threat.

3. Sociometer Theory

According to Leary, Tambor, Terdal, and Downs (1995), the human self-esteem system acts as an internal, subjective psychological gauge (a “sociometer”) that continuously monitors the environment for indications of social acceptance or rejection. When relational value drops or exclusionary cues appear, the sociometer drops, manifesting phenomenologically as felt social exclusion. The three items of the FSE measure the direct readout of this internal relational gauge.

4. Control Restoration and Compensatory Behavior

In the theoretical model developed by Su, Jiang, Chen, and DeWall (2017), social exclusion strips individuals of their perceived personal control over their social milieu. When people are excluded, they perceive their actions to be decoupled from social rewards, eliciting an acute sense of helplessness. The FSE serves as the antecedent trigger: higher felt exclusion directly predicts lower perceived personal control, which subsequently activates compensatory consumer behaviors aimed at asserting autonomy and control over the non-social environment.

Validity

Empirical investigations across consumer psychology, experimental social psychology, and organizational studies provide extensive validity evidence for the Felt Social Exclusion scale:

Construct and Convergent Validity

In the seminal publication by Su et al. (2017), the FSE scale demonstrated high sensitivity to diverse social exclusion manipulations across multiple experimental studies. In Study 1, participants in an exclusion condition (reliving an event where they were excluded) reported significantly higher scores on the FSE composite compared to those in an acceptance condition (M_excluded = 5.24 vs. M_accepted = 1.63; F(1, 102) = 173.21, p < .001, η_p² = .63). Furthermore, convergent validity was evidenced by substantial negative correlations with the four fundamental psychological needs from Williams’ (2009) need-threat framework, particularly belonging (r ≈ -.71 to -.79) and personal control (r ≈ -.58 to -.68).

Discriminant Validity

A critical psychometric requirement for any social exclusion instrument is the ability to discriminate between felt exclusion per se and non-specific negative affect. Su et al. (2017) demonstrated via structural equations and multiple regression analyses that although exclusion inductions often evoke general negative emotions (e.g., sadness, anxiety, frustration measured via the PANAS), the FSE scale uniquely predicted compensatory behaviors (such as brand-switching) when controlling for negative affect. In addition, when entered into exploratory factor models alongside items measuring general state distress, the three FSE items cleanly separated from general dysphoria, loading on an independent latent factor.

Criterion and Predictive Validity

The FSE demonstrates exceptional predictive utility across diverse dependent variables. In consumer research, higher FSE scores predict greater variety seeking in grocery shopping, lower brand loyalty, and increased choice of novel options as compensatory control mechanisms. In broader social psychological contexts, FSE scores predict heightened attentional allocation to smiling faces (social reconnection seeking), elevated physiological arousal (electrodermal activity), and, when reconnection is deemed impossible, retaliatory interpersonal hostility.

Reliability

Despite its brevity, the FSE scale exhibits exceptional internal reliability across varied laboratory, field, and online settings:

• Internal Consistency: In Su et al. (2017), the three items demonstrated robust internal consistency across all experimental studies: Study 1 reported a Cronbach’s α of .91; Study 2 reported α = .93; Study 3 yielded α = .94; and Study 4 achieved α = .92. Subsequent replications in behavioral sciences have documented alpha coefficients consistently ranging between .88 and .96.
• Composite Reliability: Confirmatory factor analytic investigations report composite reliability (ρ_c) and McDonald’s omega (ω) values consistently surpassing .90, confirming that the scale is not dependent on the restrictive tau-equivalence assumption of Cronbach’s alpha.
• Test-Retest Stability Considerations: Because the FSE is explicitly engineered as a state measure designed to evaluate immediate emotional and cognitive responses to situational contexts, classical test-retest reliability across long intervals (e.g., weeks or months) is neither expected nor theoretically appropriate. However, within immediate repeated-measurement protocols during experimental sessions (e.g., baseline pre-test to post-manipulation checks in control groups receiving neutral stimuli), the stability coefficient remains high (r > .80), indicating high temporal precision when environmental conditions remain static.

Factor Analysis

The structural dimensionality of the Felt Social Exclusion scale has been verified through exploratory and confirmatory factor analyses in diverse experimental cohorts.

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood EFA conducted on the three items across multiple samples unfailingly extract a single dominant eigenvalue (λ₁ > 2.50), accounting for 80% to 90% of the total variance. Subsequent eigenvalues regularly fall well below 0.35, adhering strictly to the Kaiser criterion and scree plot guidelines for a unidimensional solution. Unrotated factor loadings for all three items are uniformly elevated, routinely exceeding .85.

Confirmatory Factor Analysis (CFA)

A single-factor CFA model specified with three observed indicators (“excluded,” “rejected,” “left out”) loading onto one latent Felt Social Exclusion construct is mathematically just-identified (zero degrees of freedom). When embedded within larger measurement models alongside related constructs (e.g., Perceived Control, Negative Affect, Need for Belonging), the measurement model achieves excellent fit indices:

• Comparative Fit Index (CFI): ≥ .98
• Tucker-Lewis Index (TLI): ≥ .97
• Root Mean Square Error of Approximation (RMSEA): ≤ .048 (90% CI [.000, .072])
• Standardized Root Mean Square Residual (SRMR): ≤ .025

Standardized factor loadings across diverse experimental contexts generally manifest within narrow, highly robust margins: “excluded” (λ = .88 – .94), “rejected” (λ = .86 – .92), and “left out” (λ = .87 – .95). Average Variance Extracted (AVE) values consistently surpass .80, well above the .50 benchmark recommended by Fornell and Larcker (1981), confirming that common method variance or idiosyncratic item error does not dominate the measurement construct.

Instrument / Measurement Tool

The structural characteristics of the FSE scale are detailed below:

• Test Type: Self-report psychometric scale; state assessment; experimental manipulation check.
• Administration Format: Paper-and-pencil or computerized/online survey administration (e.g., Qualtrics, Gorilla, PsychoPy).
• Item Count: 3 concise, stimulus-neutral items.
• Response Format: Multi-point Likert scale. Most commonly operationalized as a 7-point scale ranging from 1 (“Not at all”) to 7 (“Extremely” / “Very much”), or alternatively on a 9-point or 5-point metric depending on surrounding battery harmonization.
• Completion Time: Approximately 15 to 30 seconds, minimizing respondent burden and preventing the dissipation of state psychological effects.
• Scoring Procedure:
  • All three items are framed in the positive direction of the construct (no reverse-scored items).
  • The overall Felt Social Exclusion score is calculated by computing the arithmetic mean of the 3 items: FSE = (Item 1 + Item 2 + Item 3) / 3.
  • Higher scores indicate a more intense subjective experience of social exclusion, rejection, and relational isolation.

Permissions & Fee and Test Year

• Year of Formal Publication: 2017.
• Original Source: Journal of Consumer Research (Oxford University Press), Volume 44, Issue 1, Pages 99–117.
• Copyright & Permissions: The theoretical article is copyright © 2017 by Journal of Consumer Research, Inc. / Oxford University Press. However, the 3-item question stem and adjective anchors were published in the open body text of the empirical article for scientific use.
• Usage Fee: Free for non-commercial, scholarly, academic research and educational applications. Researchers are expected to appropriately cite the original validation paper (Su et al., 2017). Commercial deployments or inclusion in proprietary commercial assessment platforms may require formal permission from Oxford University Press or the primary authors.

References

• Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497–529. https://doi.org/10.1037/0033-2909.117.3.497
• 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
• Gardner, W. L., Pickett, C. L., & Brewer, M. B. (2000). Social exclusion and selective social information processing: To include or not to include, that is the question. Journal of Personality and Social Psychology, 79(6), 936–949. https://doi.org/10.1037/0022-3514.79.6.936
• Leary, M. R., Tambor, E. S., Terdal, S. K., & Downs, D. L. (1995). Self-esteem as an interpersonal monitor: The sociometer hypothesis. Journal of Personality and Social Psychology, 68(3), 518–530. https://doi.org/10.1037/0022-3514.68.3.518
• Su, L., Jiang, Y., Chen, Z., & DeWall, C. N. (2017). Social exclusion and consumer switching behavior: A control restoration mechanism. Journal of Consumer Research, 44(1), 99–117. https://doi.org/10.1093/jcr/ucw077
• Twenge, J. M., Baumeister, R. F., Tice, D. M., & Stucke, T. S. (2001). If you can’t join ’em, beat ’em: Effects of social exclusion on aggressive behavior. Journal of Personality and Social Psychology, 81(6), 1058–1069. https://doi.org/10.1037/0022-3514.81.6.1058
• Williams, K. D. (2009). Ostracism: A temporal need-threat model. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology (Vol. 41, pp. 275–314). Academic Press. https://doi.org/10.1016/S0065-2601(09)00406-3
• Williams, K. D., Cheung, C. K., & Choi, W. (2000). Cyberostracism: Effects of being ignored over the Internet. Journal of Personality and Social Psychology, 79(5), 748–762. https://doi.org/10.1037/0022-3514.79.5.748

Items of the Scale