Abstract
The Online Parasocial Relationship Scale (PSR) is a psychometrically validated, ten-item self-report instrument engineered to measure the multidimensional, socio-emotional bond that contemporary media consumers establish with digital personae, notably social media influencers, digital content creators, and online celebrities (Sheng, Kostyk, & Chatzipanagiotou, 2026). Originally formulated within the paradigm of traditional mass media broadcasting (Horton & Wohl, 1956), classical conceptualizations and legacy scales (e.g., Rubin, Perse, & Powell, 1985; Rubin & Perse, 1987) treat parasocial relationships as largely passive, illusionary interactions tailored to unidimensional broadcast television environments. The modern digital media landscape—distinguished by algorithmic curation, perceived reciprocal communication, dynamic two-way messaging affordances, and ubiquitous personal disclosure—fundamentally transforms how these socio-cognitive connections are initiated and sustained. The Online Parasocial Relationship Scale reconceptualizes this psychological construct across three distinct yet interrelated dimensions: Intimacy (the subjective sense of emotional closeness and perceived mutual familiarity), Relationship Maintenance (the proactive behavioral and cognitive commitment to monitor and engage with the target figure across digital touchpoints), and Real-Life Relationship Intention (the aspirational desire to transcend mediated boundaries into physical, face-to-face encounters and interpersonal friendship).
Validated across five rigorous empirical studies involving diverse consumer samples, the Online PSR Scale employs a 7-point Likert response format (ranging from 1 = Strongly disagree to 7 = Strongly agree). Psychometric evaluation utilizing both exploratory and confirmatory factor analysis (CFA) confirms a stable three-factor structure with excellent goodness-of-fit indices (CFI > .96, TLI > .95, RMSEA < .06, SRMR < .04). The instrument demonstrates superior internal consistency (Cronbach’s alpha > .88 across all subscales; composite reliability > .89), robust test-retest reliability, and pronounced convergent and discriminant validity against legacy metrics. Furthermore, empirical findings establish that the Online PSR Scale substantially outperforms historical scales in predicting consumer-related outcomes, including brand attitudes, sponsored endorsement credibility, and purchase intentions. This tool serves as an indispensable psychometric standard for researchers and practitioners in social psychology, media studies, communication, and digital marketing.
Keywords
Parasocial relationships, social media influencers, digital intimacy, psychometrics, scale validation, relationship maintenance, real-life relationship intention, consumer-influencer bond, social media psychology, influencer marketing, media psychology
Authors
The Online Parasocial Relationship Scale was conceptualized, operationalized, and psychometrically validated by:
- Jiemin Sheng — Department of Marketing, College of Business, academic researcher specializing in digital consumer behavior, social media dynamics, and parasocial relationship formation.
- Anastasia Kostyk — Scholar of marketing and consumer psychology, focusing on influencer marketing ecosystems, consumer engagement, and digital identity.
- Kalliopi Chatzipanagiotou — Professor of Marketing, recognized for contributions to brand management, customer-brand relationship theory, and psychometric measurement modeling.
Their collaborative research article, titled “Parasocial relationship: reconceptualization, scale development and validation,” was published in the peer-reviewed Journal of Business Research (2026, Vol. 210, Article 116122).
Purpose
The primary purpose of the Online Parasocial Relationship Scale is to provide an empirically grounded, structurally valid, and contemporary psychometric tool to assess the intensity, behavioral manifestation, and psychological scope of one-sided socio-emotional bonds formed within online environments. For nearly four decades, psychological and communication research relied disproportionately on legacy scales developed in the mid-1980s (most notably the Parasocial Interaction Scale by Rubin, Perse, & Powell, 1985, and its subsequent revisions by Rubin & Perse, 1987). Although foundational, these early instruments were architected around broadcast television formats, such as local news anchors, soap opera characters, and television hosts. In that legacy paradigm, the media consumer occupied a static, strictly receptive posture characterized by zero genuine interaction, temporal synchronicity restricted to broadcasting schedules, and fixed distance.
Modern social media platforms—such as Instagram, TikTok, YouTube, Twitch, and X (formerly Twitter)—have entirely dismantled these boundaries. Content creators continuously share intimate glimpses into their private lives via short-form video stories, live streams, interactive polls, direct messaging, and comment sections. These affordances generate an acute illusion of accessibility, mutual recognition, and conversational reciprocity. As a result, applying broadcast-era scales to social media environments leads to systematic measurement error, construct under-representation, and attenuated predictive validity. The Online PSR Scale addresses these shortcomings by capturing the dynamic, continuous, and behavioral realities of contemporary online environments.
In clinical, research, and applied consumer contexts, the scale fulfills multiple essential functions:
- Social and Media Psychology Research: It enables the rigorous investigation of compensatory attachment mechanisms, digital loneliness, parasocial grief, identity construction, and the psychological health impacts of excessive social media immersion.
- Marketing and Consumer Behavior: It provides consumer psychologists and brand managers with a granular metric to evaluate influencer-audience bonds, predicting how parasocial intimacy influences brand trust, source credibility, sponsored content reception, and purchase conversion.
- Digital Well-Being and Clinical Assessment: It serves as a diagnostic baseline for assessing maladaptive digital attachments, boundary dissolution, celebrity obsession, and online stalking behaviors where real-life relationship expectations become pathological.
Psychological Construct
The Online Parasocial Relationship construct is conceptualized as a multi-layered, enduring socio-emotional connection that an individual forms with a mediated digital persona. While a parasocial interaction (PSI) denotes a transient, episodic feeling of conversational involvement during a single media exposure, a parasocial relationship (PSR) represents a stable, cross-situational socio-cognitive schema that persists beyond the immediate viewing episode. The Online PSR Scale operationalizes this construct across three core subdimensions:
1. Intimacy
The Intimacy subscale (Items 1–3) measures the subjective feeling of affective closeness, perceived psychological kinship, and socio-emotional bonding experienced toward the digital persona. Unlike traditional broadcast media, where intimacy was fostered primarily through direct camera gaze and conversational broadcasting scripts, digital intimacy is amplified by self-disclosure, informal settings, and emotional vulnerability exhibited by influencers. Consumers score high on this facet when they cognitively process the influencer as an authentic friend rather than an external content producer. This dimension captures the profound internal sentiment of emotional connectedness and perceived interpersonal warmth that mirrors primary friendship schemas.
2. Relationship Maintenance
The Relationship Maintenance subscale (Items 4–6) operationalizes the deliberate behavioral and cognitive efforts that consumers expend to sustain their connection with the media figure over time. In online settings, maintaining a relationship requires proactive digital labor: routinely checking platform feeds, turning on post notifications, liking updates, posting comments, and consuming content across multiple platforms. Rooted in interpersonal communication theories of relational maintenance, this facet acknowledges that online parasocial bonds are not passive habits; they demand continuous, motivated consumer agency. High scores reflect dedicated attention allocation, algorithm-prompted habits, and an active commitment to remaining an integral part of the influencer’s digital community.
3. Real-Life Relationship Intention
The Real-Life Relationship Intention subscale (Items 7–10) captures the aspirational longing and behavioral readiness of the individual to bridge the mediated divide and manifest the parasocial bond in physical reality. Due to the perceived accessibility of digital figures—who frequent local venues, host community meet-and-greets, and interact informally in comment threads—consumers often formulate concrete desires for face-to-face encounters, personal friendships, and offline interactions. This dimension measures the extent to which the individual projects the digital bond onto real-world interpersonal expectations, serving as a critical indicator of relational intensity, extreme fan identification, and the boundary-blurring phenomena unique to digital ecosystems.
Theoretical Framework
The architectural foundation of the Online Parasocial Relationship Scale is synthesized from several key psychological, communication, and interpersonal theories:
Parasocial Interaction Theory (Horton & Wohl, 1956)
In their seminal treatise, sociologists Donald Horton and R. Richard Wohl posited that mass media could create an “illusion of a face-to-face relationship” between the spectator and the performer. They termed this phenomenon parasocial interaction, describing it as an essentially non-mutual, one-sided bond where the spectator perceives reciprocal responsiveness. Sheng et al. (2026) modernize this premise, recognizing that while the relational structure remains fundamentally asymmetric (an influencer cannot maintain reciprocal cognitive bonds with hundreds of thousands of followers), digital platforms inject authentic micro-reciprocities (e.g., replying to a comment, liking a fan post, answering a live stream question) that supercharge the psychological veracity of the illusion.
Social Penetration Theory (Altman & Taylor, 1973)
According to Social Penetration Theory, interpersonal relationships evolve systematically from superficial, non-intimate exchanges to profound, intimate psychological connections via gradual, reciprocal, and bidirectional self-disclosure (the “onion” metaphor). In the digital influencer sphere, influencers consistently expose deep, personal, and vulnerable aspects of their lives—ranging from mental health struggles to domestic routines. Followers consume these disclosures continuously, which neurologically and affectively mimics the deep penetration layers of genuine interpersonal friendship, fostering perceived intimacy and motivating relationship maintenance behaviors.
Attachment Theory (Bowlby, 1969; Ainsworth et al., 1978)
Contemporary scholars apply Attachment Theory to explain why individuals develop intense attachments to digital figures. In modern societies marked by structural isolation, digital media figures often serve as secondary or compensatory attachment figures who provide a safe haven and a predictable secure base. The subscales of Intimacy and Relationship Maintenance mirror attachment-seeking behaviors, where the user seeks proximity and emotional comfort through constant content consumption.
Relational Maintenance Theory (Canary & Stafford, 1992)
Historically applied strictly to interpersonal dyads, marital relationships, and close friendships, relational maintenance theory identifies behavioral strategies—such as assurances, networks, social openness, and positivity—deployed by partners to keep a relationship in a desired state. Sheng et al. (2026) demonstrate that digital consumers apply analogous behavioral strategies toward influencers. Followers invest time, engagement capital, and digital labor to ensure that the relational dynamic remains vivid, personally relevant, and psychologically active.
Validity
The psychometric properties of the Online Parasocial Relationship Scale were established through a multi-study validation program reported by Sheng, Kostyk, and Chatzipanagiotou (2026). The authors conducted five systematic studies spanning exploratory item generation, purification, structural validation, and cross-contextual replication.
Construct and Structural Validity
The scale was refined from an initial pool of over forty candidate items generated from qualitative interviews and literature reviews. Content validity was verified by expert panels in psychometrics and digital marketing. Subsequent exploratory factor analyses cleanly eliminated cross-loading and redundant items, converging on a robust 10-item, 3-factor structure. Confirmatory factor analysis (CFA) demonstrated exceptional structural fit across both general social media influencer audiences and niche livestreaming communities.
Convergent and Discriminant Validity
Convergent validity was verified using standard psychometric criteria:
- All standardized factor loadings ($lambda$) exceeded the recommended .70 threshold (range: .76 to .91), confirming strong item-to-construct convergence.
- The Average Variance Extracted (AVE) for all three subscales consistently exceeded .60, well above the .50 cutoff recommended by Fornell and Larcker (1981).
- Composite Reliability (CR) metrics for each latent factor surpassed .85, demonstrating high shared variance among constituent indicators.
Discriminant validity was established via the Fornell-Larcker criterion and the Heterotrait-Monotrait ratio of correlations (HTMT). The square root of the AVE for each latent dimension was substantially greater than any inter-construct correlation. Furthermore, all HTMT values remained safely below the conservative .85 threshold, demonstrating that Intimacy, Relationship Maintenance, and Real-Life Relationship Intention are theoretically distinct facets rather than redundant expressions of a single undifferentiated construct. The scale also demonstrated discriminant validity against conceptually related constructs, including generalized media fandom, homophily, source credibility, and platform addiction.
Predictive and Criterion-Related Validity
In head-to-head empirical comparisons, Sheng et al. (2026) benchmarked the 10-item Online PSR Scale against the classic 20-item Rubin et al. (1985) Parasocial Interaction Scale and the 10-item Rubin and Perse (1987) revision. In structural equation models predicting consumer behavioral outcomes, the Online PSR Scale demonstrated statistically superior explanatory power ($\Delta R^2$ ranging from 12% to 28% across studies):
- Brand Attitude: The Intimacy and Maintenance dimensions significantly predicted positive attitudes toward brands endorsed by the influencer ($eta = .38, p < .001$).
- Purchase Intention: Real-Life Relationship Intention and Relationship Maintenance accounted for high variance in consumers’ explicit purchase intentions for sponsored products ($eta = .44, p < .001$).
- Word-of-Mouth (WOM) and Advocacy: High overall PSR scores directly predicted active consumer advocacy and defensive behavior when the influencer encountered public controversy.
Reliability
The Online Parasocial Relationship Scale demonstrates exceptional internal consistency, temporal stability, and scale precision across multiple independent empirical samples. Reliability parameters established in validation studies include:
Internal Consistency
- Overall 10-Item Composite Scale: Cronbach’s alpha ($lpha$) values ranged from .92 to .95 across the validation samples, indicating outstanding overall scale reliability without problematic item redundancy.
- Intimacy Subscale (Items 1–3): Reported $lpha$ values between .88 and .93; Composite Reliability (CR) = .91; Average Variance Extracted (AVE) = .77.
- Relationship Maintenance Subscale (Items 4–6): Reported $lpha$ values between .87 and .92; Composite Reliability (CR) = .89; Average Variance Extracted (AVE) = .73.
- Real-Life Relationship Intention Subscale (Items 7–10): Reported $lpha$ values between .90 and .94; Composite Reliability (CR) = .93; Average Variance Extracted (AVE) = .78.
Test-Retest Reliability
A longitudinal sub-study evaluating temporal stability over a four-week interval yielded test-retest correlation coefficients ($r_{tt}$) exceeding .82 for the global scale, with subscale coefficients ranging from .78 to .85 ($p < .001$). These metrics confirm that the scale captures an enduring psychological orientation rather than transient mood states or situational viewing fluctuations.
Factor Analysis
The dimensional topology of the Online PSR Scale was rigorously established through sequential Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) using maximum likelihood estimation with robust standard errors (MLR).
Exploratory Factor Analysis (EFA)
Initial EFA conducted on calibration samples utilizing principal axis factoring with Promax (oblique) rotation cleanly extracted three eigenvalues exceeding 1.0 (Kaiser criterion), collectively explaining over 74% of the total variance. Scree plot analyses consistently supported a three-factor solution. All items exhibited primary loadings > .75 on their designated latent factors, with secondary cross-loadings remaining uniformly below .25.
Confirmatory Factor Analysis (CFA)
CFA conducted on subsequent validation samples confirmed the superior fit of the hypothesized three-factor correlated model compared to competing structural models (e.g., a one-factor unconstrained model and an orthogonal three-factor model). Representative goodness-of-fit indices obtained from the empirical validation studies include:
- Chi-Square / Degrees of Freedom ($\chi^2 / df$): 1.84 (values < 3.0 denote excellent fit)
- Comparative Fit Index (CFI): .978 (values > .95 indicate superior fit)
- Tucker-Lewis Index (TLI): .969 (values > .95 indicate superior fit)
- Root Mean Square Error of Approximation (RMSEA): .042 [90% CI: .031, .054] (values < .06 indicate close fit)
- Standardized Root Mean Square Residual (SRMR): .034 (values < .05 indicate outstanding fit)
A second-order hierarchical model, wherein a global latent parasocial relationship construct accounts for the covariance among the three first-order dimensions (Intimacy, Relationship Maintenance, and Real-Life Relationship Intention), also achieved strong empirical fit (CFI = .971, RMSEA = .046), validating the theoretical and mathematical appropriateness of computing both individual subdimension scores and an omnibus global PSR index.
Instrument / Measurement Tool
- Instrument Name: Online Parasocial Relationship Scale (PSR)
- Construct Measured: Consumer-perceived one-sided socio-emotional connection with digital media figures / social media influencers.
- Target Population: Adolescents, young adults, and general digital media consumers engaging with content creators across online platforms.
- Administration Format: Self-administered paper-and-pencil or digital/web-based questionnaire.
- Administration Time: Approximately 2 to 3 minutes.
- Total Number of Items: 10 items.
- Subscale Structure:
- Intimacy: 3 items (Items 1, 2, 3)
- Relationship Maintenance: 3 items (Items 4, 5, 6)
- Real-Life Relationship Intention: 4 items (Items 7, 8, 9, 10)
- Response Format: 7-point Likert scale (1 = Strongly disagree, 2 = Disagree, 3 = Somewhat disagree, 4 = Neither agree nor disagree, 5 = Somewhat agree, 6 = Agree, 7 = Strongly agree).
- Reverse-Scored Items: None. All items are positively keyed.
- Scoring Procedure:
- Subscale Scores: Computed by calculating the arithmetic mean of the items comprising each subdimension (Intimacy = Mean of Items 1–3; Relationship Maintenance = Mean of Items 4–6; Real-Life Relationship Intention = Mean of Items 7–10).
- Global PSR Score: Computed by calculating the overall arithmetic mean across all 10 items. Higher scores reflect greater psychological and behavioral intensity of the online parasocial bond.
- Target Persona Designation: When administering the scale, the bracketed placeholder [influencer] is replaced with the specific name, handle, or designated persona under evaluation (e.g., “MrBeast”, “Charli D’Amelio”, or a designated brand influencer).
Permissions & Fee and Test Year
The Online Parasocial Relationship Scale was published in 2026 in the Journal of Business Research by authors Jiemin Sheng, Anastasia Kostyk, and Kalliopi Chatzipanagiotou. Copyright is maintained by the authors and Elsevier Inc.
Licensing and Academic Use: The scale is available for non-commercial academic research, pedagogical purposes, and scholarly investigation without licensing fees, provided appropriate scholarly attribution and standard academic citation are accorded to the original publication (Sheng et al., 2026). Commercial applications, including proprietary market research platforms, diagnostic software integration, and corporate brand tracking audits, may require formal permissions or licensing through Elsevier’s RightsLink permissions service.
References
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- Sheng, J., Kostyk, A., & Chatzipanagiotou, K. (2026). Parasocial relationship: reconceptualization, scale development and validation. Journal of Business Research, 210, Article 116122. https://doi.org/10.1016/j.jbusres.2025.116122