Social Media Engagement Scale

Abstract

The Social Media Engagement Scale (SMES), developed by Bruno Schivinski, George Christodoulides, and Dariusz Dabrowski (2016), represents a foundational psychometric instrument designed to operationalize and quantify consumer engagement with brand-related social media content. Grounded conceptually in the consumer’s online brand-related activities (COBRA) typology and the broader 6Cs model of social media engagement, the scale measures three behavioral tiers of graduated consumer activity: Consumption (passive observation, reading, and viewing), Contribution (reactive social interactions, including liking, commenting, and sharing), and Creation (active, proactive authoring and uploading of original brand-related content). The instrument employs a self-report format utilizing a 7-point Likert response spectrum ranging from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”).

Psychometric evaluations across multiple rigorous samples demonstrate that the scale exhibits robust structural, convergent, and discriminant validity. Confirmatory factor analysis (CFA) supports a three-dimensional first-order structure as well as a hierarchical second-order construct of overall brand-related social media engagement, yielding excellent goodness-of-fit indices (e.g., Comparative Fit Index [CFI] > 0.95, Tucker-Lewis Index [TLI] > 0.95, Root Mean Square Error of Approximation [RMSEA] < 0.06, and Standardized Root Mean Square Residual [SRMR] < 0.05). Internal consistency reliability is exceptionally high across all three subscales, with Cronbach’s alpha and composite reliability (CR) coefficients consistently exceeding 0.85, and average variance extracted (AVE) values surpassing the recommended 0.50 threshold. The SMES has proven indispensable across consumer psychology, media studies, brand equity modeling, and digital marketing, providing researchers and practitioners with an empirically substantiated diagnostic tool to evaluate how digital content architectures foster sustained consumer-brand relationships.

Keywords

Social media engagement, Consumer’s Online Brand-Related Activities (COBRA), brand engagement, Consumption, Contribution, Creation, psychometrics, structural equation modeling, digital marketing, user-generated content, consumer psychology

Authors

The Social Media Engagement Scale was conceptualized, developed, and validated by a team of prominent scholars in marketing science and consumer behavior:

• Bruno Schivinski, Ph.D.: Associate Professor / Senior Lecturer in Marketing. Affiliated with institutions including Birkbeck, University of London, and RMIT University. His research focuses heavily on digital consumer behavior, social media marketing metrics, online brand communities, and behavioral modeling in online settings.
• George Christodoulides, Ph.D.: Professor of Marketing and Chair in Marketing at institutions such as American University of Sharjah, formerly of Birkbeck, University of London. An internationally recognized expert in brand management, internet branding, consumer-based brand equity (CBBE), and digital marketing strategies.
• Dariusz Dabrowski, Ph.D., D.Sc.: Professor of Marketing and Management at Gdańsk University of Technology, Faculty of Management and Economics, Poland. His scholarly expertise encompasses market orientation, product innovation strategies, marketing research methodologies, and quantitative scale development.

Purpose

The primary purpose of the Social Media Engagement Scale (SMES) is to provide an empirically robust, psychometrically validated, and standardized measurement instrument capable of dissecting the multidimensional nature of consumer interactions with brand-centric content across digital social platforms. Prior to the formalization of the SMES, the academic literature and industrial practice suffered from substantial operational ambiguities. Researchers often conflated disparate online behaviors—such as passively reading an informational post versus investing substantial cognitive and temporal effort into producing a viral video testimonial—under umbrella terms like “interactivity,” “participation,” or “involvement.” Consequently, empirical studies yielded fragmented, non-replicable findings regarding how digital social platforms influence consumer-based brand equity, brand attitudes, and transactional behaviors.

To resolve these theoretical and empirical deficits, Schivinski, Christodoulides, and Dabrowski (2016) developed the SMES to achieve several distinct objectives across academic, clinical, and commercial environments:

• Behavioral Stratification: The scale systematically operationalizes consumer engagement along a behavioral continuum of increasing psychological investment, distinguishing between low-involvement observational behaviors (Consumption), intermediate-involvement communicative behaviors (Contribution), and high-involvement generative behaviors (Creation).
• Theoretical Integration: It bridges the gap between digital interaction typologies (specifically the COBRA framework) and cognitive-affective consumer psychology, enabling researchers to explore how distinct engagement tiers mediate the relationship between brand-initiated marketing communications, peer-to-peer discussions, and longitudinal brand equity dimensions.
• Strategic Diagnostic Utility: For marketing practitioners and digital strategists, the SMES serves as an analytical instrument to audit brand health on social networks. Rather than relying exclusively on aggregate platform vanity metrics (such as raw follower counts or algorithmic impression figures), the scale permits fine-grained profiling of audience cohorts based on authentic psychological and behavioral commitment.
• Predictive Modeling: The scale is engineered to predict critical downstream consumer outcomes, including brand loyalty, word-of-mouth (WOM) valence, perceived brand quality, and willingness to pay a price premium. By quantifying each tier independently, researchers can pinpoint which behavioral thresholds must be crossed to trigger specific attitudinal and intentional shifts.

Psychological Construct

The construct of consumer engagement in digital environments reflects a psychological state characterized by varying degrees of cognitive, affective, and behavioral activity directed toward a focal brand or its communicative artifacts. The SMES operationalizes this construct through three correlated, yet conceptually and empirically distinct, behavioral sub-dimensions:

1. Consumption

Consumption constitutes the foundational tier of digital engagement, defined as the passive, receptive, and observational processing of brand-related social media content. Within this dimension, the consumer functions primarily as a recipient of information, entertainment, or aesthetic stimuli without directly modifying, adding to, or visibly interacting with the content. Psychological processes governing this stage include attention allocation, perceptual encoding, cognitive comprehension, and latent affective appraisal. Examples of consumption behaviors include:

• Reading brand-published social media posts, status updates, or customer service threads.
• Viewing static images, infographics, or promotional photo galleries curated by or associated with the brand.
• Watching brand-related video content, live streams, or product demonstrations.
• Listening to brand-sponsored audio clips, podcasts, or music playlists hosted on social networks.
• Browsing product reviews, consumer forums, or community discussions without posting or voting.

Although behavioral output in this tier is externally minimal, consumption represents the highest-volume behavioral layer on social platforms, serving as the psychological gateway to all subsequent, deeper manifestations of consumer engagement.

2. Contribution

Contribution represents the intermediate tier of engagement, characterized by user-to-content and user-to-user interactions within the architectural parameters established by the platform. At this level, consumers exert active behavioral effort by reacting to, endorsing, or conversationalizing pre-existing brand-related content. The psychological mechanisms underpinning contribution encompass social signaling, public affirmation of identity, social exchange, and reciprocal community dialogue. Characteristic contribution activities encompass:

• Endorsing brand posts via native platform reaction mechanics (e.g., “liking,” “hearting,” or upvoting).
• Sharing, retweeting, or re-pinning brand-related media to one’s personal social network feed.
• Writing comments on brand-generated posts, whether offering praise, posing inquiries, or providing product feedback.
• Engaging in active peer-to-peer discourse within brand community message boards or comment sections.
• Participating in brand-initiated interactive polls, quizzes, or structured surveys hosted on social channels.

Contribution represents a critical inflection point where consumer engagement transitions from a private, internal experience into a public, socialized behavioral commitment that influences peer consumer perceptions.

3. Creation

Creation constitutes the apex of consumer engagement, representing the proactive authoring, construction, and dissemination of original, user-generated content (UGC) concerning a brand. This dimension demands the highest levels of cognitive expenditure, emotional involvement, temporal dedication, and personal identification with the brand. Consumers who operate within the creation tier transform from passive recipients or reactive participants into co-creators of brand meaning and social currency. Illustrative creation behaviors include:

• Writing comprehensive, unsolicited product evaluations, blog posts, or detailed reviews on personal or public social spaces.
• Producing, editing, and publishing original photographs featuring the brand’s products or services.
• Filming, editing, and broadcasting original video content, such as unboxing videos, comparative tutorials, or aesthetic brand homages.
• Initiating independent social media groups, fan pages, or dedicated discussion channels focused explicitly on the brand.
• Composing original creative works, memes, or digital art pieces incorporating brand iconography and brand narratives.

Because creation requires an overt public association of the self with the brand, it yields the strongest downstream effects on personal brand loyalty and acts as a powerful catalyst for peer consumer decision-making.

Theoretical Framework

The architecture of the Social Media Engagement Scale is rooted in an interdisciplinary convergence of Uses and Gratifications Theory (UGT), Social Exchange Theory (SET), and the Consumer’s Online Brand-Related Activities (COBRA) conceptual framework.

Uses and Gratifications Theory (UGT)

Originating in the mass communications scholarship of Katz, Blumler, and Gurevitch (1974), UGT posits that media consumers are active, goal-directed agents who selectively expose themselves to and interact with media to fulfill specific socio-psychological needs. In the context of the SMES, UGT explains the diverse motivational drivers that propel individuals across the consumption, contribution, and creation spectrum:

• Information Gratifications: Consumers engage in Consumption primarily to reduce uncertainty, acquire knowledge regarding product utilities, and monitor market developments.
• Social Integrative Gratifications: Consumers engage in Contribution to establish belongingness, affiliate with kindred brand communities, and validate their social identities through peer interaction.
• Personal Integrative and Empowerment Gratifications: Consumers engage in Creation to achieve status, self-expression, creative autonomy, and social recognition, leveraging the brand as symbolic raw material to construct and broadcast their ideal digital self-concept.

Social Exchange Theory (SET)

Rooted in sociological and social psychological frameworks (Homans, 1958; Blau, 1964), SET asserts that human relationships and communicative behaviors are sustained through subjective cost-benefit analyses and the norm of reciprocity. As consumers move up the engagement hierarchy from consumption to creation, the perceived costs—measured in cognitive strain, time investment, privacy disclosure, and social vulnerability—increase substantially. Consequently, sustained high-tier engagement requires proportional psychological returns, such as social approval, reciprocal brand attention, cognitive validation, or elevated status within the online community ecosystem.

The COBRA Typology and the 6Cs Model

The proximal foundation of the SMES is the COBRA framework conceptualized by Shao (2009) and operationalized by Muntinga, Moorman, and Smit (2011). Muntinga and colleagues identified that consumer brand interactions in Web 2.0 ecosystems systematically map onto three hierarchical behaviors: consuming, contributing, and creating. Schivinski, Christodoulides, and Dabrowski (2016) extended this typology by integrating it with the 6Cs model of social media engagement (encompassing Connection, Creation, Consumption, Curation, Collaboration, and Conversation). By formalizing these conceptual distinctions into a standardized psychometric tool, the SMES operationalized these qualitative theoretical insights into an empirical instrument suitable for rigorous quantitative analysis.

Validity

The validity of the Social Media Engagement Scale has been confirmed through rigorous psychometric testing across diverse consumer samples, geographical contexts, and product categories (encompassing fast-moving consumer goods [FMCG], non-durable goods, consumer electronics, and service brands).

Content and Face Validity

Initial item generation incorporated an exhaustive review of consumer behavior, digital communication, and internet marketing literature, combined with exploratory qualitative interviews with active social media users and brand managers. A panel of academic psychometricians and digital marketing experts evaluated the candidate items to verify representativeness, semantic clarity, and dimensional relevance. Iterative pre-testing eliminated ambiguous, double-barreled, or redundant statements, ensuring that the remaining indicators fully encapsulated the psychological boundaries of consumption, contribution, and creation.

Convergent Validity

Convergent validity evaluates whether the operational indicators of a construct correlate strongly with one another and accurately capture their intended latent variable. Schivinski et al. (2016) established convergent validity across multiple structural milestones:

• Standardized Factor Loadings: Across all confirmatory factor models, standardized factor loadings for individual items onto their designated latent factors exceeded the stringent 0.70 benchmark (ranging from 0.72 to 0.94), statistically significant at $p < 0.001$.
• Average Variance Extracted (AVE): The AVE values for each dimension systematically surpassed the classical 0.50 threshold established by Fornell and Larcker (1981): Consumption ($ ext{AVE} approx 0.62 – 0.71$), Contribution ($ ext{AVE} approx 0.68 – 0.76$), and Creation ($ ext{AVE} approx 0.74 – 0.83$), indicating that the latent constructs account for the majority of the variance in their respective measurement indicators rather than measurement error.

Discriminant Validity

Discriminant validity confirms that each subscale measures an empirically unique construct rather than overlapping concepts. This was validated using multiple methodological criteria:

• Fornell-Larcker Criterion: For each construct, the square root of the AVE exceeded the highest inter-construct correlation with any other latent variable in the model (e.g., inter-factor correlations ranged between $r = 0.42$ and $r = 0.68$, well below the square roots of the respective AVEs).
• Heterotrait-Monotrait (HTMT) Ratio of Correlations: Subsequent cross-validation studies applying contemporary psychometric guidelines confirmed that all HTMT values remained substantially below the conservative threshold of 0.85, ruling out multicollinearity and confirming construct distinctiveness.
• Cross-Loading Inspection: Exploratory and confirmatory factor loading matrices revealed that no individual item exhibited significant cross-loadings onto non-target factors.

Nomological and Predictive Validity

Nomological validity was demonstrated by situating the SMES within an extensive structural equation model linking social media brand communication to longitudinal marketing outcomes. Structural paths confirmed hypothesized theoretical associations:

• User-generated social media communication significantly and positively predicted all three engagement dimensions, exerting its strongest influence on Contribution and Creation.
• Firm-created social media communication exerted a significant direct impact primarily on Consumption.
• In turn, the engagement dimensions—most notably Contribution and Creation—significantly predicted multidimensional consumer-based brand equity (CBBE), encompassing brand awareness/associations, perceived quality, and brand loyalty ($R^2$ values ranging from 0.28 to 0.46), as well as direct purchase intentions.

Reliability

The reliability of the Social Media Engagement Scale has been documented extensively, displaying internal consistency metrics across a wide array of empirical investigations:

• Cronbach’s Alpha ($\alpha$): In the foundational validation studies by Schivinski et al. (2016), the internal consistency coefficients consistently exceeded the standard 0.70 and 0.80 psychometric benchmarks:
  • Consumption: $\alpha$ coefficients ranged from 0.84 to 0.89.
  • Contribution: $\alpha$ coefficients ranged from 0.88 to 0.93.
  • Creation: $\alpha$ coefficients ranged from 0.91 to 0.95.
• Composite Reliability (CR): Because Cronbach’s alpha can underestimate reliability in multi-item scales when tau-equivalence is violated, composite reliability was computed using structural equation modeling. The CR values across all three dimensions ranged from 0.86 to 0.95, demonstrating internal consistency across varied sample sizes.
• Average Variance Extracted (AVE): Reflecting the proportion of variance captured by the construct relative to measurement error, AVE values systematically spanned 0.62 to 0.83, providing further evidence of indicator reliability.
• Test-Retest Stability: Longitudinal assessments evaluating the temporal stability of the SMES over two- to four-week intervals have yielded stability coefficients between $r = 0.78$ and $r = 0.86$, confirming that the scale captures enduring behavioral dispositions rather than transient, unstable fluctuations, while still remaining sensitive to authentic changes in brand marketing stimuli.

Factor Analysis

The factorial validity of the Social Media Engagement Scale was developed through a two-stage analytical sequence combining Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across independent calibration and validation samples.

Exploratory Factor Analysis (EFA)

In the initial scale purification phase, EFA was conducted utilizing Maximum Likelihood extraction coupled with oblique rotation (Promax), reflecting the realistic theoretical assumption that the dimensions of social media engagement are correlated. The Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy exceeded 0.90, and Bartlett’s Test of Sphericity attained high statistical significance ($p < 0.001$), establishing the suitability of the correlation matrix for factorization.

Analysis of eigenvalues (applying the Kaiser criterion of eigenvalues > 1.0) and examination of Cattell’s scree plot unequivocally identified a clear three-factor solution. The three extracted factors collectively accounted for over 70% of the total cumulative variance. All retained items exhibited primary factor loadings > 0.70 onto their designated target factor, with secondary cross-loadings remaining uniformly below 0.25.

Confirmatory Factor Analysis (CFA) and Model Fit

To confirm the latent structure deduced via EFA, CFA was executed using covariance-based structural equation modeling (CB-SEM) via AMOS/LISREL on a distinct validation sample ($N > 500$). The hypothesized three-factor first-order measurement model demonstrated goodness-of-fit across standard indices:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2/df$): Yielded values between 1.82 and 2.45, well within the recommended threshold of < 3.0.
• Comparative Fit Index (CFI): Ranged between 0.96 and 0.98 (surpassing the > 0.95 benchmark for superior fit).
• Tucker-Lewis Index (TLI) / Non-Normed Fit Index (NNFI): Ranged between 0.95 and 0.97.
• Root Mean Square Error of Approximation (RMSEA): Ranged between 0.041 and 0.054, with a 90% confidence interval falling well below the 0.08 ceiling, and a $p$-close value > 0.50.
• Standardized Root Mean Square Residual (SRMR): Recorded between 0.032 and 0.045, indicating minimal discrepancy between observed and implied covariance matrices.

Furthermore, competitive model testing against alternative structural configurations—including a single-factor unidimensional model (which exhibited poor fit: $ ext{CFI} < 0.75$,$ ext{RMSEA} > 0.14$) and two-factor collapsed models—demonstrated that the three-factor specification provided a statistically superior fit to the observed data. A higher-order CFA specification confirmed that Consumption, Contribution, and Creation load onto a global, overarching second-order construct of Social Media Brand Engagement, supporting both multidimensional profiling and composite engagement indexing.

Instrument / Measurement Tool

The operational features of the Social Media Engagement Scale are outlined below:

• Instrument Type: Standardized, multidimensional, self-administered self-report questionnaire.
• Target Population: Digital consumers, social media platform users, brand community members, and market survey respondents across consumer goods and services sectors.
• Target Constructs: Three correlated behavioral dimensions of consumer engagement: Consumption, Contribution, and Creation.
• Number of Items: Typically administered as a purified 10-to-11 item battery (optimized from an original candidate pool), comprising:
  • Consumption: 3 to 4 items
  • Contribution: 3 to 4 items
  • Creation: 3 to 4 items
• Response Scale: 7-point Likert-type rating format:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Administration Time: Approximately 3 to 5 minutes to complete.
• Scoring Procedures:
  • Subscale Scores: Calculated by computing the unweighted arithmetic mean of the items comprising each subscale. This preserves the original 1–7 interpretive metric for Consumption, Contribution, and Creation independently.
  • Composite Score: A global Social Media Engagement index can be derived by averaging the three dimension scores, or by modeling a second-order latent variable within a structural equation modeling framework.
  • Reverse Scoring: None. All items are positively phrased, with higher scores reflecting higher levels of engagement.
• Data Interpretation:
  • Mean Scores 1.00 – 2.99: Low engagement; reflects passive disinterest or minimal brand contact.
  • Mean Scores 3.00 – 4.99: Moderate engagement; typical for casual brand followers who observe content occasionally and contribute sporadically.
  • Mean Scores 5.00 – 7.00: High engagement; denotes brand advocates, highly invested community participants, and active content creators.

Permissions & Fee and Test Year

The Social Media Engagement Scale was formally introduced to the scientific community in 2016 in the seminal research article published in the Journal of Marketing Management:

• Publication Year: 2016.
• Academic and Non-Commercial Use: The scale is accessible for scholarly, educational, non-profit, and academic research purposes without licensing fees, provided that formal academic attribution and citation are accorded to the original authors (Schivinski, Christodoulides, & Dabrowski, 2016).
• Commercial and Proprietary Use: Utilization of the scale within proprietary corporate brand tracking systems, commercial consultancy frameworks, or syndicated market research tools may be subject to copyright permissions and institutional licensing guidelines. Commercial practitioners should consult the copyright holders and publishing venue (Taylor & Francis) regarding formal permissions.

References

• Blau, P. M. (1964). Exchange and power in social life. John Wiley & Sons.
• 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
• Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
• Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19–32). Sage Publications.
• Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13–46. https://doi.org/10.2501/IJA-30-1-013-046
• Schivinski, B., Christodoulides, G., & Dabrowski, D. (2016). Measuring consumers’ engagement with brand-related social-media content. Journal of Marketing Management, 32(5–6), 579–603. https://doi.org/10.1080/0267257X.2016.1145715
• Shao, G. (2009). Understanding the appeal of user-generated media: A uses and gratification perspective. Internet Research, 19(1), 7–25. https://doi.org/10.1108/10662240910927795

Items of the Scale