{"id":554,"date":"2026-09-05T16:21:45","date_gmt":"2026-09-05T16:21:45","guid":{"rendered":"http:\/\/ashadocs.org\/?psych_scale=consumer-engagement-scale-ces-brand"},"modified":"2026-09-05T16:21:45","modified_gmt":"2026-09-05T16:21:45","slug":"consumer-engagement-scale-ces-brand","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=consumer-engagement-scale-ces-brand","title":{"rendered":"Consumer Engagement Scale (CES-Brand)"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p>The <strong>Consumer Engagement Scale (CES-Brand)<\/strong>, developed and psychometrically validated by Linda D. Hollebeek, Mark S. Glynn, and Roderick J. Brodie (2014), represents a landmark psychometric instrument designed to measure the multi-dimensional nature of consumer brand engagement (CBE) within modern marketing, digital ecosystems, and social media environments. Developed in response to an urgent paradigm shift from transactional marketing metrics toward relational, interactive customer experiences, the CES-Brand operationalizes consumer engagement as a tripartite psychological construct comprising <em>Cognitive Processing<\/em>, <em>Affection<\/em>, and <em>Activation<\/em>. The scale consists of 10 self-report items administered via a 7-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Likert_scale\" target=\"_blank\" rel=\"noopener noreferrer\">Likert scale<\/a> ranging from 1 (&ldquo;Strongly Disagree&rdquo;) to 7 (&ldquo;Strongly Agree&rdquo;).<\/p>\n<p>Across rigorous empirical calibration and validation studies spanning varied consumer groups and digital brand communities, the CES-Brand has demonstrated exemplary psychometric properties. Confirmatory factor analyses (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">CFA<\/a>) consistently substantiate a stable three-factor first-order structure, which can also be modeled as a second-order latent construct. The subscales exhibit high internal consistency reliability, with Cronbach&rsquo;s alpha (&alpha;) and composite reliability (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Composite_reliability\" target=\"_blank\" rel=\"noopener noreferrer\">CR<\/a>) coefficients routinely exceeding .80 and .85 across diverse cross-cultural consumer samples. Convergent validity is confirmed through average variance extracted (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Average_variance_extracted\" target=\"_blank\" rel=\"noopener noreferrer\">AVE<\/a>) estimates surpassing the .50 benchmark, while discriminant validity has been firmly established against conceptually related constructs such as brand involvement, brand love, customer satisfaction, and brand commitment via the Fornell&ndash;Larcker criterion and the Heterotrait-Monotrait (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Heterotrait-monotrait_ratio\" target=\"_blank\" rel=\"noopener noreferrer\">HTMT<\/a>) ratio of correlations. In predictive models, the CES-Brand significantly predicts critical relational outcomes, including brand loyalty, brand co-creation behaviors, positive electronic word-of-mouth (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Word-of-mouth_marketing\" target=\"_blank\" rel=\"noopener noreferrer\">eWOM<\/a>), and consumer willingness to pay a premium price. Today, the CES-Brand remains one of the most widely utilized and rigorously cited psychometric instruments in marketing literature, service research, and consumer behavior.<\/p>\n<h2>2. Keywords<\/h2>\n<p>Consumer Brand Engagement, CES-Brand, Psychometrics, Cognitive Processing, Affection, Activation, Service-Dominant Logic, Social Media Marketing, Confirmatory Factor Analysis, Scale Validation, Brand Loyalty, Relationship Marketing.<\/p>\n<h2>3. Authors<\/h2>\n<p>The Consumer Engagement Scale (CES-Brand) was developed by a team of leading scholars in relationship marketing, service science, and digital consumer research:<\/p>\n<ul>\n<li><strong>Dr. Linda D. Hollebeek<\/strong>: Professor of Marketing at Montpellier Business School (France) and holding visiting professorships at the University of Auckland Business School (New Zealand), Tallinn University of Technology (Estonia), and Lule&aring; University of Technology (Sweden). Dr. Hollebeek is widely recognized as a foundational scholar in customer engagement, brand relationships, and digital consumer psychology.<\/li>\n<li><strong>Dr. Mark S. Glynn<\/strong>: Professor of Marketing at Auckland University of Technology (AUT), New Zealand. His research specializes in business-to-business marketing, brand management, consumer-brand relationships, and retail distribution channels.<\/li>\n<li><strong>Dr. Roderick J. Brodie<\/strong>: Professor Emeritus of Marketing at the University of Auckland Business School, New Zealand. Professor Brodie is an internationally renowned scholar in marketing theory, service-dominant logic, relationship marketing, and brand engagement dynamics, having served extensively on editorial boards of top-tier service and marketing journals.<\/li>\n<\/ul>\n<h2>4. Purpose<\/h2>\n<p>The emergence of participatory digital culture, social media platforms, and online brand communities in the early 21st century precipitated a fundamental transformation in consumer-brand interactions. Traditional marketing paradigms had long relied on transactional, static, and evaluative constructs&mdash;most notably customer satisfaction, perceived quality, brand awareness, and static brand attitudes&mdash;to evaluate marketing efficacy. However, these classical metrics proved inadequate for capturing the dynamic, interactive, and highly participatory behaviors characterizing consumers who co-create value, interact with brand content, and advocate on behalf of brands across interactive social spaces. The CES-Brand was conceptualized and calibrated to remedy this theoretical and operational gap.<\/p>\n<p>The primary purpose of the CES-Brand is to measure the holistic psychological state that reflects a focal consumer&rsquo;s interactive, value-co-creating relationship with a specific brand. Rather than capturing a fleeting purchase intention or a passive affective evaluation, the scale measures engagement as an enduring, multidimensional psychological state activated during focal brand interactions. The instrument serves several pivotal clinical, managerial, and academic applications:<\/p>\n<ul>\n<li><strong>Empirical Research in Marketing and Behavioral Psychology<\/strong>: It equips researchers with a robust, theoretically grounded, and psychometrically sound scale to evaluate how brand engagement acts as an antecedent, mediator, or consequence within complex structural models of consumer decision-making.<\/li>\n<li><strong>Diagnostic Auditing for Brand Managers<\/strong>: It affords brand managers and digital strategists the capacity to conduct systematic diagnostics of consumer cohorts across social media networks, determining whether marketing campaigns elicit cognitive absorption, emotional bonding, or active behavioral mobilization.<\/li>\n<li><strong>Segmentation and Targeting<\/strong>: By assessing consumers across the three discrete dimensions of cognitive processing, affection, and activation, organizations can segment their customer bases into nuanced psychological typologies (e.g., highly affectionate but passive consumers versus cognitively engaged brand advocates) and tailor bespoke communication strategies accordingly.<\/li>\n<li><strong>Service and Relationship Health Monitoring<\/strong>: In subscription, SaaS, and continuous-service business models, the scale serves as an early indicator of consumer disengagement, customer churn vulnerability, or burgeoning brand evangelism.<\/li>\n<\/ul>\n<h2>5. Psychological Construct<\/h2>\n<p>Consumer Brand Engagement (CBE) as captured by the CES-Brand is conceptualized as a multi-dimensional psychological state characterized by specific cognitive, affective, and behavioral manifestations that arise during, or result from, interactive consumer experiences with a focal brand. Rooted in psychological theories of engagement (e.g., Kahn&rsquo;s occupational engagement framework and social exchange mechanics), the construct is neither purely emotional nor strictly behavioral; instead, it synthesizes three interrelated sub-dimensions:<\/p>\n<h3>Cognitive Processing<\/h3>\n<p><strong>Cognitive Processing<\/strong> reflects the consumer&rsquo;s level of brand-related mental stimulation, focused attention, and cognitive elaboration during interactions with the brand. It encompasses the extent to which a brand captures the consumer&rsquo;s intellectual curiosity, induces analytical thinking, and stimulates deliberate contemplation. In contrast to passive brand exposure, high cognitive processing entails active cognitive immersion, information searching, and mental synthesis of brand-related values, narratives, or attributes. For example, a consumer exhibiting elevated cognitive processing does not simply scroll past a brand&rsquo;s technical product release or social post; rather, they reflect deeply upon how the brand&rsquo;s offerings integrate into their personal life, actively contemplate brand claims, and seek deeper knowledge regarding the brand&rsquo;s functional and symbolic universe.<\/p>\n<h3>Affection<\/h3>\n<p><strong>Affection<\/strong> designates the consumer&rsquo;s degree of positive brand-related affect, emotional warmth, enthusiasm, and feelings of happiness elicited through brand interaction. This affective dimension extends beyond basic customer satisfaction&mdash;which is fundamentally an evaluative post-consumption judgment&mdash;to capture an active, warm emotional bond. It embodies pride, joy, and profound emotional elevation experienced when interfacing with the brand. An individual exhibiting high affection experiences a tangible surge of positive emotion when using or viewing the brand, feels a genuine sense of personal pride in associating with the brand, and perceives the brand as an authentic emotional anchor that enriches their subjective well-being.<\/p>\n<h3>Activation<\/h3>\n<p><strong>Activation<\/strong> captures the behavioral dimension of consumer brand engagement, defined as the consumer&rsquo;s allocation of energy, time, effort, and behavioral resources toward interacting with the focal brand relative to its competitors. Activation reflects intentional behavioral exertion. It manifests not only in transaction frequency, but also in active consumption, frequent visitation of brand platforms, proactive participation in brand-sponsored digital spaces, creation of user-generated content, and deliberate brand preference when rival options are readily accessible. For example, a consumer high in activation intentionally expends substantial time exploring brand platforms, champions the brand over category alternatives, and invests voluntary physical or digital effort into maintaining active interaction with the brand.<\/p>\n<h2>6. Theoretical Framework<\/h2>\n<p>The CES-Brand is grounded in a convergence of contemporary marketing thought and psychological theories of human interaction and motivation. Its foundational architecture rests upon three core theoretical pillars:<\/p>\n<h3>Service-Dominant (S-D) Logic<\/h3>\n<p>Developed prominently by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Service-dominant_logic\" target=\"_blank\" rel=\"noopener noreferrer\">Stephen Vargo and Robert Lusch<\/a>, S-D Logic posits that value is not merely embedded within physical products by manufacturers (the traditional goods-dominant view); rather, value is inherently <em>co-created<\/em> through interactive processes, resource integration, and collaborative service exchange between organizations, consumers, and other network actors. In this paradigm, the consumer transitions from an external, passive operand resource (a target to be acted upon) into an active, collaborative operant resource capable of agency, initiative, and value co-creation. Hollebeek et al. (2014) operationalized this shift by establishing that engagement is the direct psychological and behavioral manifestation of a consumer acting as an operant resource who actively co-creates brand meaning and experiential value.<\/p>\n<h3>Relationship Marketing and Social Exchange Theory<\/h3>\n<p>The theoretical underpinnings of the CES-Brand draw heavily from <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_exchange_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Exchange Theory<\/a> (Homans, 1958; Blau, 1964) and relationship marketing literature (Morgan &amp; Hunt, 1994). Social exchange theory posits that psychological commitments and collaborative behaviors emerge when parties perceive reciprocal relational benefits. When consumers perceive a brand as offering significant symbolic, social, or functional rewards within an interactive digital environment, they reciprocate by dedicating their cognitive faculties, emotional affection, and physical time to that brand. This creates an enduring relational bond that transcends momentary economic transactions, solidifying long-term psychological commitment, trust, and shared values.<\/p>\n<h3>Uses and Gratifications Theory (UGT)<\/h3>\n<p>Within social media and digital interaction environments, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Uses_and_gratifications_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Uses and Gratifications Theory<\/a> explains how consumers actively seek out specific media platforms and brand touchpoints to fulfill targeted cognitive, affective, and social integration needs. In the CES-Brand framework, consumer interactions on brand pages are understood as goal-directed pursuits wherein users consciously select brand touchpoints to satisfy personal identity expression, entertainment, information acquisition, and social interaction gratifications.<\/p>\n<h2>7. Validity<\/h2>\n<p>The validity of the CES-Brand was evaluated across an exhaustive, multi-phase scale development procedure conforming strictly to psychometric standards established by Churchill (1979) and Gerbing &amp; Anderson (1988), encompassing both qualitative exploration and rigorous structural equation modeling across extensive independent consumer samples.<\/p>\n<h3>Content and Face Validity<\/h3>\n<p>The scale development began with an extensive literature review coupled with exploratory qualitative research involving in-depth interviews with consumer focus groups and academic panels. Content and face validity were verified through independent expert rating panels comprising marketing academics and senior brand strategists who scrutinized an initial pool of candidate items. Items displaying ambiguous phrasing, conceptual overlap with adjacent constructs (such as brand involvement or satisfaction), or poor semantic clarity were iteratively pruned.<\/p>\n<h3>Convergent Validity<\/h3>\n<p>Convergent validity evaluates the extent to which the scale items reflect the theoretical latent constructs they were designed to measure. Across calibration (<span class=\"arabpsy-math-inline\" data-latex=\"N = 254\">$N = 254$<\/span>) and validation (<span class=\"arabpsy-math-inline\" data-latex=\"N = 537\">$N = 537$<\/span>) samples of active social media brand consumers, CFA analyses revealed that all standardized item factor loadings exceeded the recommended threshold of .70 (ranging from .72 to .89), with all t-values highly statistically significant (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). The Average Variance Extracted (AVE) for each subscale exceeded the classical .50 benchmark (Fornell &amp; Larcker, 1981):<\/p>\n<ul>\n<li><strong>Cognitive Processing<\/strong>: AVE typically ranges between .58 and .66.<\/li>\n<li><strong>Affection<\/strong>: AVE typically ranges between .65 and .74.<\/li>\n<li><strong>Activation<\/strong>: AVE typically ranges between .61 and .70.<\/li>\n<\/ul>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity was established via rigorous psychometric tests against adjacent constructs, including brand involvement (Zaichkowsky, 1985), brand satisfaction (Oliver, 1997), brand love (Carroll &amp; Ahuvia, 2006), and brand commitment. In all tests, the square root of the AVE for each latent dimension significantly exceeded the inter-construct correlations, meeting the Fornell&ndash;Larcker criterion. Furthermore, modern post-hoc evaluations utilizing the Heterotrait-Monotrait (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Heterotrait-monotrait_ratio\" target=\"_blank\" rel=\"noopener noreferrer\">HTMT<\/a>) ratio of correlations yielded values consistently below the stringent .85 threshold, proving that the CES-Brand measures a construct distinct from traditional brand attitude or involvement.<\/p>\n<h3>Nomological and Predictive Validity<\/h3>\n<p>Nomological validity was demonstrated through Structural Equation Modeling (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Structural_equation_modeling\" target=\"_blank\" rel=\"noopener noreferrer\">SEM<\/a>) within an integrated theoretical network. In the structural model, consumer brand engagement demonstrated significant positive relationships with theoretical consequences: brand loyalty (<span class=\"arabpsy-eq\" dir=\"ltr\">&beta; = .51<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), electronic word-of-mouth (<span class=\"arabpsy-eq\" dir=\"ltr\">&beta; = .44<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), and brand co-creation behaviors (<span class=\"arabpsy-eq\" dir=\"ltr\">&beta; = .39<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). Moreover, involvement emerged as a robust antecedent to brand engagement, confirming the scale&rsquo;s theoretical position as an intermediate, relational bridge linking consumer interest to concrete behavioral loyalty.<\/p>\n<h2>8. Reliability<\/h2>\n<p>The CES-Brand possesses exceptional internal consistency and cross-sample reliability, replicated across numerous peer-reviewed empirical studies in service research, digital marketing, and consumer psychology.<\/p>\n<h3>Internal Consistency Reliability<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Internal consistency metrics for the CES-Brand have consistently surpassed established psychometric benchmarks (Nunnally &amp; Bernstein, 1994, requiring &alpha; &ge; .70 for research instruments). In the foundational validation studies by Hollebeek et al. (2014), the internal consistency indices across samples were documented as follows<\/span>:<\/p>\n<ul>\n<li><strong>Cognitive Processing<\/strong> (3 items): <span class=\"arabpsy-eq\" dir=\"ltr\">Cronbach&rsquo;s alpha (&alpha;) = .83 to .88; Composite Reliability (CR) = .84 to .89<\/span>.<\/li>\n<li><strong>Affection<\/strong> (4 items): <span class=\"arabpsy-eq\" dir=\"ltr\">Cronbach&rsquo;s alpha (&alpha;) = .88 to .92; Composite Reliability (CR) = .89 to .93<\/span>.<\/li>\n<li><strong>Activation<\/strong> (3 items): <span class=\"arabpsy-eq\" dir=\"ltr\">Cronbach&rsquo;s alpha (&alpha;) = .82 to .87; Composite Reliability (CR) = .83 to .88<\/span>.<\/li>\n<li><strong>Full Second-Order Scale<\/strong> (10 items combined): Composite Reliability consistently exceeds .90.<\/li>\n<\/ul>\n<h3>Cross-Sample and Test-Retest Stability<\/h3>\n<p>Replication studies investigating various brand categories&mdash;including consumer electronics (e.g., Apple, Samsung), sportswear (e.g., Nike, Adidas), retail banking, and fast-moving consumer goods (FMCG)&mdash;have demonstrated stable reliability coefficients across divergent geographic and cultural populations. Metric and scalar measurement invariance testing across gender and age demographics has evidenced structural stability, confirming that the scale functions equivalently across distinct consumer cohorts with negligible differential item functioning (DIF).<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>The dimensionality of the CES-Brand was refined using Exploratory Factor Analysis (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Exploratory_factor_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">EFA<\/a>) and confirmed using Confirmatory Factor Analysis (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">CFA<\/a>) utilizing maximum likelihood estimation methods.<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>During scale calibration, principal axis factoring with Promax (oblique) rotation was executed on candidate items. The Kaiser-Meyer-Olkin (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Kaiser%E2%80%93Meyer%E2%80%93Olkin_test\" target=\"_blank\" rel=\"noopener noreferrer\">KMO<\/a>) measure of sampling adequacy consistently exceeded .90, and Bartlett&rsquo;s test of sphericity was highly significant (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), <span class=\"arabpsy-eq\" dir=\"ltr\">establishing strong data factorability. The scree plot and eigenvalues (&gt; 1.0 rule) clearly corroborated a three-factor solution explaining over 68% of the total variance, with clean primary factor loadings (&gt; .65) and absence of problematic cross-loadings (&lt; .30)<\/span>.<\/p>\n<h3>Confirmatory Factor Analysis (CFA) &amp; Model Fit<\/h3>\n<p>CFA was conducted to examine both a three-factor correlated first-order model and a hierarchical second-order model (where an overarching &ldquo;Consumer Brand Engagement&rdquo; construct drives the three sub-dimensions). Both models demonstrated superior fit across conventional structural equation modeling parameters:<\/p>\n<ul>\n<li><strong>Chi-Square \/ Degrees of Freedom Ratio (&chi;&sup2;\/df)<\/strong>: 1.84 to 2.45 (well below the conservative 3.0 threshold).<\/li>\n<li><strong>Comparative Fit Index (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis#Goodness-of-fit_indices\" target=\"_blank\" rel=\"noopener noreferrer\">CFI<\/a>)<\/strong>: .96 to .98 (exceeding the .95 standard for superior fit).<\/li>\n<li><strong>Tucker-Lewis Index (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis#Goodness-of-fit_indices\" target=\"_blank\" rel=\"noopener noreferrer\">TLI<\/a>)<\/strong>: .95 to .97.<\/li>\n<li><strong>Root Mean Square Error of Approximation (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Root-mean-square_error_of_approximation\" target=\"_blank\" rel=\"noopener noreferrer\">RMSEA<\/a>)<\/strong>: .<span class=\"arabpsy-eq\" dir=\"ltr\">041 to .058 (90% confidence interval falling well within acceptable bounds [&lt; .08])<\/span>.<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR)<\/strong>: .032 to .044 (substantially below the .08 ceiling).<\/li>\n<\/ul>\n<p>Direct comparison against competing unifactorial (single general factor) and two-factor models demonstrated statistically superior chi-square difference statistics (&Delta;&chi;&sup2;, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), firmly establishing the empirical necessity of the tripartite cognitive-affective-activation dimensional structure.<\/p>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<p>The operational administration and technical characteristics of the CES-Brand are structured as follows:<\/p>\n<ul>\n<li><strong>Instrument Name<\/strong>: Consumer Engagement Scale (CES-Brand) \/ Consumer Brand Engagement Scale.<\/li>\n<li><strong>Target Respondent<\/strong>: Consumers who have active, interactive, or relational exposure to a designated target brand or brand community.<\/li>\n<li><strong>Item Count<\/strong>: 10 items in total.\n<ul>\n<li>Cognitive Processing: 3 items<\/li>\n<li>Affection: 4 items<\/li>\n<li>Activation: 3 items<\/li>\n<\/ul>\n<\/li>\n<li><strong>Response Format<\/strong>: <span class=\"arabpsy-eq\" dir=\"ltr\">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)<\/span>.<\/li>\n<li><strong>Administration Time<\/strong>: Approximately 2 to 4 minutes.<\/li>\n<li><strong>Scoring and Index Calculation<\/strong>:\n<ul>\n<li><em>Subscale Scores<\/em>: Calculated by averaging the numeric ratings of the items comprising each respective subscale (yielding a score from 1.00 to 7.00 per dimension).<\/li>\n<li><em>Composite Overall Engagement Index<\/em>: Calculated by computing the mean of all 10 items (or through factor-weighted scores derived from structural equation modeling).<\/li>\n<li><em>Reversed Items<\/em>: There are no reverse-coded items in the canonical scale.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Score Interpretation Benchmarks<\/strong>:\n<ul>\n<li><em>Low Engagement (1.00 &ndash; 3.49)<\/em>: Minimal cognitive elaboration, lack of affective attachment, and passive or transactional behavioral presence.<\/li>\n<li><em>Moderate Engagement (3.50 &ndash; 5.20)<\/em>: Basic brand familiarity, positive baseline affect, and sporadic behavioral consumption without active community involvement.<\/li>\n<li><em>High Engagement (5.21 &ndash; 7.00)<\/em>: Intense cognitive absorption, passionate affective bonding\/pride, and energetic behavioral co-creation\/loyalty.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>11. Permissions &amp; Fee and Test Year<\/h2>\n<ul>\n<li><strong>Year of Publication<\/strong>: 2014.<\/li>\n<li><strong>Original Publishing Outlet<\/strong>: <em>Journal of Service Research<\/em> (Sage Publications).<\/li>\n<li><strong>Copyright Ownership<\/strong>: The original academic publication and the formal psychometric validation are copyrighted by the authors (Linda D. Hollebeek, Mark S. Glynn, and Roderick J. Brodie) and <a href=\"https:\/\/journals.sagepub.com\/home\/jsr\" target=\"_blank\" rel=\"noopener noreferrer\">Sage Publications<\/a>.<\/li>\n<li><strong>Fee and Accessibility for Academic Research<\/strong>: The CES-Brand is freely available for non-commercial academic, educational, and scholarly research purposes, provided that standard scientific citation is extended to the original seminal 2014 publication.<\/li>\n<li><strong>Commercial Applications<\/strong>: Commercial practitioners, consultancies, or market research firms seeking to embed the scale within proprietary commercial assessment software or fee-generating diagnostic platforms should contact the copyright holders or Sage Publications regarding formal licensing agreements.<\/li>\n<\/ul>\n<h2>12. References<\/h2>\n<ul>\n<li>Blau, P. M. (1964). <em>Exchange and power in social life<\/em>. John Wiley &amp; Sons.<\/li>\n<li>Brodie, R. J., Hollebeek, L. D., Juri&cacute;, B., &amp; Ili&cacute;, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for service research. <em>Journal of Service Research<\/em>, 14(3), 252&ndash;271. <a href=\"https:\/\/doi.org\/10.1177\/1094670511411703\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/1094670511411703<\/a><\/li>\n<li>Carroll, B. A., &amp; Ahuvia, A. C. (2006). Some antecedents and outcomes of brand love. <em>Marketing Letters<\/em>, 17(2), 79&ndash;89. <a href=\"https:\/\/doi.org\/10.1007\/s11002-006-4219-2\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/s11002-006-4219-2<\/a><\/li>\n<li>Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. <em>Journal of Marketing Research<\/em>, 16(1), 64&ndash;73. <a href=\"https:\/\/doi.org\/10.1177\/002224377901600110\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224377901600110<\/a><\/li>\n<li>Fornell, C., &amp; Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. <em>Journal of Marketing Research<\/em>, 18(1), 39&ndash;50. <a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378101800104<\/a><\/li>\n<li>Gerbing, D. W., &amp; Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. <em>Journal of Marketing Research<\/em>, 25(2), 186&ndash;192. <a href=\"https:\/\/doi.org\/10.1177\/002224378802500207\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378802500207<\/a><\/li>\n<li>Hollebeek, L. D., Glynn, M. S., &amp; Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. <em>Journal of Service Research<\/em>, 17(2), 149&ndash;165. <a href=\"https:\/\/doi.org\/10.1177\/1094670514522380\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/1094670514522380<\/a><\/li>\n<li>Morgan, R. M., &amp; Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. <em>Journal of Marketing<\/em>, 58(3), 20&ndash;38. <a href=\"https:\/\/doi.org\/10.1177\/002224299405800302\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224299405800302<\/a><\/li>\n<li>Nunnally, J. C., &amp; Bernstein, I. H. (1994). <em>Psychometric theory<\/em> (3rd ed.). McGraw-Hill.<\/li>\n<li>Oliver, R. L. (1997). <em>Satisfaction: A behavioral perspective on the consumer<\/em>. McGraw-Hill.<\/li>\n<li>Vargo, S. L., &amp; Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. <em>Journal of Marketing<\/em>, 68(1), 1&ndash;17. <a href=\"https:\/\/doi.org\/10.1509\/jmkg.68.1.1.24036\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1509\/jmkg.68.1.1.24036<\/a><\/li>\n<li>Zaichkowsky, J. L. (1985). Measuring the involvement construct. <em>Journal of Consumer Research<\/em>, 12(3), 341&ndash;352. <a href=\"https:\/\/doi.org\/10.1086\/208520\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/208520<\/a><\/li>\n<\/ul>\n<h2>13. Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<div class=\"wpt-scale-draft-notice\" style=\"direction:ltr; text-align:left; background:#fff8e5; border-left:4px solid #dba617; padding:14px 18px; font-size:13.5px; color:#856404; font-weight:500;\">\n    <strong>Disclaimer:<\/strong> These items are an illustrative draft based on the scale&#8217;s theoretical construct and are not the official copyrighted version. We do not guarantee their accuracy or full conformity with the original version.\n  <\/div>\n<p style=\"margin-top:16px; margin-bottom:12px; font-size:14px; color:#333; line-height:1.6;\">\n    <strong>Instructions to Respondents:<\/strong> Please indicate your degree of agreement or disagreement with each of the following statements concerning your interactions with <strong>[Brand]<\/strong> (or <strong>[Brand&#8217;s Social Media Page\/Platform]<\/strong>). Respond using the 7-point scale provided below:\n  <\/p>\n<div style=\"background:#f8f9fa; border:1px solid #e9ecef; border-radius:6px; padding:12px 16px; margin-bottom:20px; font-size:13px; color:#495057;\">\n    <strong>Response Scale:<\/strong><br \/>\n    <span class=\"arabpsy-eq\" dir=\"ltr\">1 = Strongly Disagree | 2 = Disagree | 3 = Somewhat Disagree | 4 = Neutral (Neither Agree nor Disagree) | 5 = Somewhat Agree | 6 = Agree | 7 = Strongly Agree<\/span>\n  <\/div>\n<h3 style=\"color:#1a365d; font-size:16px; border-bottom:1px solid #e2e8f0; padding-bottom:6px; margin-top:20px;\">Subscale 1: Cognitive Processing<\/h3>\n<ol style=\"padding-left:24px; line-height:1.8; color:#2d3748;\">\n<li style=\"margin-bottom:8px;\">\n      Using [Brand] gets me to think about [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects mental stimulation and brand-related thought activation]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      I think about [Brand] a lot when I am using it.<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects cognitive absorption and sustained mental processing]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      Using [Brand] stimulates my interest to learn more about [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects intellectual curiosity and active elaboration]<\/div>\n<\/li>\n<\/ol>\n<h3 style=\"color:#1a365d; font-size:16px; border-bottom:1px solid #e2e8f0; padding-bottom:6px; margin-top:20px;\">Subscale 2: Affection<\/h3>\n<ol start=\"4\" style=\"padding-left:24px; line-height:1.8; color:#2d3748;\">\n<li style=\"margin-bottom:8px;\">\n      I feel very positive when I use [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects positive emotional valence during brand interaction]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      Using [Brand] makes me happy.<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects emotional happiness and subjective experiential pleasure]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      I feel good when I use [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects affective warmth and emotional comfort]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      I am proud to use [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects brand pride and symbolic emotional attachment]<\/div>\n<\/li>\n<\/ol>\n<h3 style=\"color:#1a365d; font-size:16px; border-bottom:1px solid #e2e8f0; padding-bottom:6px; margin-top:20px;\">Subscale 3: Activation<\/h3>\n<ol start=\"8\" style=\"padding-left:24px; line-height:1.8; color:#2d3748;\">\n<li style=\"margin-bottom:8px;\">\n      I spend a lot of time using [Brand], compared to other [Category] brands.<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects comparative temporal investment and behavioral dedication]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      Whenever I am using [Category], I usually use [Brand].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects habitual usage predominance and behavioral preference]<\/div>\n<\/li>\n<li style=\"margin-bottom:8px;\">\n      [Brand] is one of the brands I usually use when I use [Category].<\/p>\n<div style=\"font-size:12px; color:#718096;\">[Reflects behavioral loyalty and core category repertoire inclusion]<\/div>\n<\/li>\n<\/ol>\n<div style=\"background:#edf2f7; border-left:3px solid #4a5568; padding:10px 14px; margin-top:20px; font-size:12.5px; color:#4a5568;\">\n    <strong>Note on Administration:<\/strong> In survey administration, bracketed terms such as &ldquo;[Brand]&rdquo; and &ldquo;[Category]&rdquo; must be replaced with the focal brand name (e.g., &ldquo;Nike&rdquo;) and product category (e.g., &ldquo;athletic footwear&rdquo;) under investigation. All items are rated on an identical 1 to 7 Likert continuum.\n  <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive academic guide to the Consumer Engagement Scale (CES-Brand) developed by Hollebeek, Glynn, and Brodie (2014), detailing its cognitive, affective, and activation dimensions, psychometric properties, and scale items.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2309,2],"tags":[2518,2517,2514,2516,2513,2515,1503,35],"class_list":["post-554","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-marketing-scales","category-psychometrics","tag-brand-activation","tag-brand-affection","tag-ces-brand","tag-cognitive-processing","tag-consumer-engagement","tag-hollebeek","tag-psychometric-properties","tag-scale-validation"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=554"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/554\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}