{"id":571,"date":"2026-09-05T16:47:57","date_gmt":"2026-09-05T16:47:57","guid":{"rendered":"http:\/\/ashadocs.org\/?psych_scale=source-credibility-scale"},"modified":"2026-09-05T16:47:57","modified_gmt":"2026-09-05T16:47:57","slug":"source-credibility-scale","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=source-credibility-scale","title":{"rendered":"Source Credibility Scale"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Source Credibility Scale<\/strong>, developed and psychometrically validated by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Credibility\" target=\"_blank\" rel=\"noopener noreferrer\">Dr. Roobina Ohanian (1990)<\/a>, represents the gold-standard measurement instrument designed to assess the multidimensional nature of communicator credibility within persuasion, advertising, marketing communication, and social psychology. Grounded in foundational communication theories articulated by Carl Hovland and colleagues, alongside William J. McGuire&#39;s source attractiveness paradigm, the scale operationalizes perceived source credibility as a tri-component psychological construct comprising <em>Perceived Expertise<\/em>, <em>Perceived Trustworthiness<\/em>, and <em>Perceived Attractiveness<\/em>. The instrument contains 15 items structured across three distinct five-item subscales, implemented via a 7-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Semantic_differential\" target=\"_blank\" rel=\"noopener noreferrer\">semantic differential<\/a> rating format anchored by carefully calibrated bipolar adjectives.<\/p>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Empirical evaluations across diverse consumer cohorts and demographic segments demonstrate exceptional psychometric robustness. Across four decades of independent empirical replication, internal consistency estimates routinely achieve Cronbach&#39;s alpha coefficients exceeding .88 to .95 across all three dimensions, accompanied by composite reliabilities greater than .90. Confirmatory factor analyses (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Confirmatory_factor_analysis\" target=\"_blank\" rel=\"noopener noreferrer\">CFA<\/a>) consistently confirm that the tri-component first-order oblique structure exhibits superior fit compared to unidimensional or two-factor models (CFI &gt; .95, TLI &gt; .94, RMSEA &lt; .06). Furthermore, the instrument demonstrates established convergent, discriminant, and predictive validity, significantly predicting consumer attitudes toward advertisements, attitude toward brands, and behavioral purchase intentions. Although originally developed for celebrity endorsers, modern research has demonstrated its cross-contextual validity across corporate spokespersons, digital influencers, peer-to-peer micro-celebrities, healthcare communicators, and artificial intelligence avatars. This article provides a comprehensive academic examination of the scale&#39;s conceptual foundations, psychometric parameters, structural validity, administrative procedures, and contemporary empirical applications<\/span>.<\/p>\n<h2>Keywords<\/h2>\n<p>Source credibility, endorser credibility, perceived expertise, perceived trustworthiness, perceived attractiveness, semantic differential, advertising persuasion, consumer psychology, influencer marketing, psychometric validation.<\/p>\n<h2>Authors<\/h2>\n<p>The scale was developed by <strong>Dr. Roobina Ohanian<\/strong>. At the time of the instrument&#39;s development and seminal 1990 publication, Dr. Ohanian was affiliated with the Department of Marketing at the J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia, United States. Dr. Ohanian is a prominent scholar in marketing communication, consumer behavior, and brand management, renowned for addressing a critical methodological void in advertising literature: the lack of a standardized, psychometrically rigorous, and multidimensional measurement scale to evaluate celebrity and communicator endorsement effectiveness.<\/p>\n<p>Her subsequent validation study, published in the <em>Journal of Advertising Research<\/em> (Ohanian, 1991), further demonstrated the predictive capacity of these three dimensions on consumer purchase intentions, establishing the instrument as a ubiquitous baseline across academic inquiries and industry market research. Contact regarding archival permissions and historical psychometric documentation typically references Georgia State University or the author&#39;s primary publisher, the American Academy of Advertising.<\/p>\n<h2>Purpose<\/h2>\n<p>The primary purpose of the Source Credibility Scale is to measure perceived credibility across communicators, endorsers, spokespersons, and social influencers. Prior to Ohanian&#39;s (1990) systematic psychometric construction, literature addressing communicator impact was severely fragmented. Researchers routinely utilized <em>ad hoc<\/em>, single-item questions or repurposed disparate semantic scales borrowed haphazardly from speech communication studies (such as those by David Berlo, James McCroskey, and Raymond Whitehead) without rigorous validation within consumer persuasion environments.<\/p>\n<p>Ohanian engineered this measurement tool to fulfill three core theoretical and applied objectives:<\/p>\n<ul>\n<li><strong>Establishing Methodological Rigor:<\/strong> To replace unvalidated, exploratory semantic checklists with a systematically developed scale adhering to contemporary psychometric standards, including explicit tests of content validity, item purification, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and convergent\/discriminant validity.<\/li>\n<li><strong>Deconstructing Multidimensional Persuasion:<\/strong> To unify the historical two-component source-credibility paradigm (expertise and trustworthiness, rooted in Hovland&#39;s Yale School of Persuasion) with the source-attractiveness paradigm (physical attractiveness, elegance, and personal appeal, rooted in McGuire&#39;s social psychology models) into a parsimonious, integrated 15-item inventory.<\/li>\n<li><strong>Predicting Consumer and Audience Behavioral Outcomes:<\/strong> To supply researchers and marketing practitioners with a diagnostic tool capable of identifying which specific communicator traits drive message acceptance, cognitive responses, brand evaluations, and purchase or compliance intentions.<\/li>\n<\/ul>\n<p>In applied research, the scale is deployed to evaluate the strategic alignment between brand positioning and celebrity endorser characteristics\u2014an application central to the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Match-up_hypothesis\" target=\"_blank\" rel=\"noopener noreferrer\">Match-Up Hypothesis<\/a>. In clinical and public health psychology, the scale evaluates the efficacy of medical spokespersons, patient advocates, and health officials in communicating epidemiological warnings, vaccine advocacy, and behavioral health interventions. In political communication, the scale functions as an assessment of candidate credibility and surrogate endorsement impact. More recently, in human-computer interaction (HCI) and digital marketing, researchers utilize the instrument to evaluate human-like virtual influencers, automated recommendation agents, and algorithmically generated synthetic endorsers.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>Source credibility refers to an audience&#39;s perceptual judgment of a communicator&#39;s positive characteristics that enhance the persuasiveness, believability, and behavioral impact of their communicative acts. Ohanian&#39;s model operationalizes this broad psychological construct as an interconnected yet structurally distinct tri-dimensional architecture consisting of Perceived Expertise, Perceived Trustworthiness, and Perceived Attractiveness.<\/p>\n<h3>1. Perceived Expertise<\/h3>\n<p>Perceived expertise represents the extent to which an audience perceives a communicator to possess the specialized knowledge, technical training, experiential background, and competence necessary to make valid claims regarding a specific subject matter, product, or behavioral recommendation. It is important to emphasize that this dimension measures <em>perceived<\/em> rather than <em>objective<\/em> competence; a communicator may hold formal credentials, yet fail to convey technical mastery, or conversely, possess minimal formal training while projecting authoritative proficiency. Within Ohanian&#39;s conceptualization, expertise captures cognitive heuristics regarding capability, intellectual mastery, and practical skill. When expertise is perceived as high, recipients tend to engage in less counter-arguing, utilizing the communicator&#39;s perceived mastery as a persuasive decision heuristic or engaging in deeper cognitive processing of central arguments.<\/p>\n<h3>2. Perceived Trustworthiness<\/h3>\n<p>Perceived trustworthiness captures the recipient&#39;s degree of confidence in the communicator&#39;s honesty, objective integrity, ethical sincerity, and uncompromised dependability. While expertise addresses whether the source <em>knows<\/em> the truth, trustworthiness addresses whether the source is <em>willing<\/em> to convey the truth without bias, ulterior motive, or deceptive manipulation. In consumer environments, this dimension confronts the pervasive suspicion of commercial bias\u2014specifically, the recipient&#39;s inference that an endorser is advocating a product solely due to financial remuneration. Trustworthiness reflects an affective and moral attribution; a source perceived as highly dependable, sincere, and upright mitigates defensive psychological resistance, thereby fostering genuine internal acceptance of the underlying message.<\/p>\n<h3>3. Perceived Attractiveness<\/h3>\n<p>Perceived attractiveness reflects the source&#39;s aesthetic appeal, physical beauty, social elegance, and sensory charisma. Grounded in classical social psychology, this dimension is driven by social evaluation mechanisms and stereotyping heuristics, particularly the &quot;what is beautiful is good&quot; <a href=\"https:\/\/en.wikipedia.org\/wiki\/Halo_effect\" target=\"_blank\" rel=\"noopener noreferrer\">halo effect<\/a>. Communicators possessing high physical attractiveness frequently elicit immediate positive emotional responses, heightened visual attention, and increased desire for identification or vicarious association. In Ohanian&#39;s psychometric operationalization, attractiveness is not confined to mere facial symmetry; it encompasses broader physical elegance, perceived style, and sensory appeal, activating affective affinity that facilitates peripheral persuasion and elevates overall source valence.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The Source Credibility Scale is theoretically anchored at the intersection of three major traditions in social psychology and communication theory: the <strong>Source Credibility Model<\/strong>, the <strong>Source Attractiveness Model<\/strong>, and dual-process cognitive architectures such as the <strong>Elaboration Likelihood Model (ELM)<\/strong>.<\/p>\n<h3>The Yale Communication Paradigm<\/h3>\n<p>The foundational framework originates in the pioneering empirical investigations of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Carl_Hovland\" target=\"_blank\" rel=\"noopener noreferrer\">Carl Hovland<\/a> and his colleagues at the Yale Communication and Attitude Change Program (Hovland &amp; Weiss, 1951; Hovland, Janis, &amp; Kelley, 1953). Hovland&#39;s team postulated that the effectiveness of persuasive communication depends significantly on &quot;who says it.&quot; They identified two foundational pillars of credibility: <em>expertness<\/em> (the extent to which a communicator is perceived to be a source of valid assertions) and <em>trustworthiness<\/em> (the degree of confidence in the communicator&#39;s intent to communicate the assertions he considers most valid). Hovland asserted that high-credibility sources yield substantially greater immediate opinion change than low-credibility sources, even when presenting identical arguments, primarily because audience members inhibit internal counterarguments when confronted with an authoritative, unbiased source.<\/p>\n<h3>The Source Attractiveness Model and Social Identification<\/h3>\n<p>Recognizing the limitations of relying solely on cognitive credibility, William J. McGuire (1985) formalized the Source Attractiveness Model, positing that communication efficacy is also governed by a source&#39;s similarity, familiarity, and physical likability. This theoretical stream intersects with Herbert Kelman&#39;s (1961) functional processes of opinion change: <em>compliance<\/em>, <em>identification<\/em>, and <em>internalization<\/em>.<\/p>\n<ul>\n<li><strong>Internalization<\/strong> occurs when an individual accepts influence because the induced behavior is intrinsically rewarding and congruent with their personal value system; this process is predominantly mediated by source <strong>expertise<\/strong> and <strong>trustworthiness<\/strong>.<\/li>\n<li><strong>Identification<\/strong> occurs when an individual adopts attitudes or behaviors promoted by a communicator to establish or maintain a satisfying self-defining relationship with that person or group; this process is primarily driven by source <strong>attractiveness<\/strong> and perceived charisma.<\/li>\n<\/ul>\n<p>Ohanian integrated these independent research traditions, recognizing that an endorser operates simultaneously through internalization mechanisms (via expertise and trust) and identification mechanisms (via aesthetic appeal and aspirational attractiveness).<\/p>\n<h3>Dual-Process Integration: The Elaboration Likelihood Model (ELM)<\/h3>\n<p>The theoretical framework of the scale is further illuminated by Petty and Cacioppo&#39;s (1986) <a href=\"https:\/\/en.wikipedia.org\/wiki\/Elaboration_likelihood_model\" target=\"_blank\" rel=\"noopener noreferrer\">Elaboration Likelihood Model<\/a>. Under conditions of low cognitive elaboration (e.g., low consumer involvement, high cognitive distraction, or low need for cognition), source characteristics serve as potent <em>peripheral cues<\/em>. An individual may accept a recommendation based simply on the superficial heuristic: &quot;If a famous and attractive athlete uses this, it must be desirable,&quot; or &quot;Experts can be trusted.&quot; Conversely, under conditions of high elaboration (high personal relevance and processing capacity), source credibility can serve as an argument, bias the direction of cognitive processing, or determine the degree of cognitive scrutiny devoted to the persuasive message. Ohanian&#39;s three-dimensional framework permits researchers to systematically isolate whether an endorser influences cognitive elaborations through peripheral heuristic cues (predominantly attractiveness) or diagnostic informational arguments (predominantly expertise and trustworthiness).<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric validity of the Source Credibility Scale was established through a multi-stage empirical validation process reported in Ohanian&#39;s (1990) foundational research, followed by decades of extensive external replication.<\/p>\n<h3>Content and Face Validity<\/h3>\n<p>To ensure exhaustive domain representation, Ohanian conducted an initial literature extraction yielding dozens of semantic descriptors historically linked to communicator evaluation. A panel of academic and industry judges subjected these candidate items to rigorous qualitative and quantitative screening, evaluating semantic clarity, redundancy, and theoretical relevance. Items failing to exhibit unambiguous categorization into Expertise, Trustworthiness, or Attractiveness were discarded, producing an initial purified pool that was subsequently field-tested across diverse stimuli.<\/p>\n<h3>Construct and Factorial Validity<\/h3>\n<p>Construct validity was validated across two exploratory and confirmatory phases utilizing large respondent samples exposed to widely disparate celebrity endorsers (e.g., Linda Evans, Madonna, John Travolta, and Tom Selleck). Confirmatory factor analysis demonstrated that the hypothesized three-factor structure achieved robust goodness-of-fit metrics, significantly outperforming alternative one-factor and two-factor models. Across studies, the average variance extracted (AVE) for each construct consistently surpassed the recommended threshold of .50, demonstrating that the latent factors explain over half of the indicator variance.<\/p>\n<h3>Convergent and Discriminant Validity<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Convergent validity is evidenced by consistently high and statistically significant completely standardized factor loadings (&lambda; &ge; .75, with most indicators exceeding .85; p &lt; .001). Discriminant validity was rigorously evaluated using the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fornell%E2%80%93Larcker_criterion\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell-Larcker criterion<\/a>: for each dimension, the square root of the AVE exceeds the highest inter-construct latent correlation<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"r\">$r$<\/span>). <span class=\"arabpsy-eq\" dir=\"ltr\">In modern structural equation modeling (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Structural_equation_modeling\" target=\"_blank\" rel=\"noopener noreferrer\">SEM<\/a>) literature, the scale routinely meets the stringent Heterotrait-Monotrait (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Multitrait-multimethod_matrix\" target=\"_blank\" rel=\"noopener noreferrer\">HTMT<\/a>) ratio of correlations cutoff (&lt; .85), proving that Perceived Expertise, Perceived Trustworthiness, and Perceived Attractiveness represent empirically separable constructs rather than collinear manifestations of a generic positive impression<\/span>.<\/p>\n<h3>Predictive and Nomological Validity<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Nomological validity has been demonstrated through hundreds of empirical studies showing theoretically consistent relationships with external criteria. In Ohanian&#39;s (1991) follow-up investigation, Perceived Expertise emerged as the strongest statistically significant predictor of consumers&#39; purchase intentions (&beta; = .38, p &lt; .001), whereas Attractiveness and Trustworthiness exhibited conditional indirect effects mediated through brand attitude. Subsequent meta-analyses in advertising literature (e.g., Amos, Holmes, &amp; Strutton, 2008; Bergkvist &amp; Zhou, 2016) have confirmed that the three subscales account for between 25% and 45% of the total variance in consumer attitude toward the advertisement<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>), attitude toward the brand (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>), and subjective compliance intentions.<\/p>\n<h2>Reliability<\/h2>\n<p>The Source Credibility Scale consistently exhibits exceptional internal consistency and measurement stability across diverse cultural contexts, sampling methodologies, and communicator modalities.<\/p>\n<h3>Internal Consistency (Cronbach&#39;s Alpha and Composite Reliability)<\/h3>\n<p>In the original scale development study (Ohanian, 1990), internal consistency coefficients for all three subscales consistently exceeded standard psychometric benchmarks across multiple independent celebrity target evaluations:<\/p>\n<ul>\n<li><strong>Perceived Attractiveness Subscale:<\/strong> Cronbach&#39;s &alpha; ranged from .89 to .94 across validation subsamples, with composite reliability (CR) values exceeding .92.<\/li>\n<li><strong>Perceived Trustworthiness Subscale:<\/strong> Cronbach&#39;s &alpha; ranged from .89 to .93, demonstrating near-equivalence across diverse endorser profiles, with composite reliability (CR) exceeding .91.<\/li>\n<li><strong>Perceived Expertise Subscale:<\/strong> Cronbach&#39;s &alpha; ranged from .93 to .96, displaying the highest internal consistency among the three dimensions, with composite reliability (CR) exceeding .94.<\/li>\n<\/ul>\n<p>Subsequent psychometric replications worldwide\u2014spanning European, East Asian, and Middle Eastern consumer cohorts\u2014have replicated these metrics, yielding McDonald&#39;s omega (&omega;) values between .88 and .95, confirming that random measurement error is negligible across all three subscale domains.<\/p>\n<h3>Test-Retest Stability<\/h3>\n<p>Short-term test-retest reliability assessments conducted over two- to three-week intervals demonstrate temporal stability coefficients ranging from <span class=\"arabpsy-math-inline\" data-latex=\"r = .81\">$r = .81$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\"r = .88\">$r = .88$<\/span> <span class=\"arabpsy-eq\" dir=\"ltr\">(p &lt; .001) in stable evaluation environments where no contradictory publicity or exogenous reputation shocks occurred. This demonstrates that while the scale is sensitive to updated brand information or scandal exposures, the baseline perceptual architecture remains highly stable over time<\/span>.<\/p>\n<h2>Factor Analysis<\/h2>\n<p>The underlying factor structure of the Source Credibility Scale has been subjected to extensive mathematical scrutiny via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">During initial instrument purification, Ohanian subjected the correlation matrices of candidate semantic items to principal components analysis (PCA) followed by both orthogonal (Varimax) and oblique (Promax) rotations. Across all experimental conditions, eigenvalues consistently revealed an unequivocal three-factor solution according to the Kaiser-Guttman criterion (eigenvalues &gt; 1.0) and Cattell&#39;s scree test<\/span>:<\/p>\n<ul>\n<li><strong>Factor 1 (Expertise):<\/strong> Accounted for approximately 35% to 42% of the initial variance, with primary item loadings ranging from .78 to .91, and cross-loadings on other factors remaining well below .25.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Factor 2 (Trustworthiness):<\/strong> Accounted for approximately 18% to 24% of the variance, with primary loadings between .74 and .89, and negligible cross-loadings (&lt; .20)<\/span>.<\/li>\n<li><strong>Factor 3 (Attractiveness):<\/strong> Accounted for approximately 10% to 15% of the variance, displaying clean primary loadings between .76 and .92.<\/li>\n<\/ul>\n<p>Collectively, the three-factor solution explained between 68% and 78% of the total cumulative variance across all tested endorser datasets, confirming the efficiency and explanatory adequacy of the 15-item configuration.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>Modern structural equation modeling investigations have subjected Ohanian&#39;s model to multi-sample CFA to verify configural, metric, and scalar measurement invariance across male and female respondents, as well as across differing endorser types (e.g., traditional Hollywood celebrities vs. contemporary social media micro-influencers). Goodness-of-fit statistics across representative empirical literature consistently conform to stringent methodological cutoffs:<\/p>\n<ul>\n<li><strong>Chi-Square \/ Degrees of Freedom Ratio (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2\/df\">$\\chi^2\/df$<\/span>):<\/strong> Values typically fall between 1.5 and 2.8, demonstrating favorable fit.<\/li>\n<li><strong>Comparative Fit Index (CFI):<\/strong> Consistently reported between .95 and .99.<\/li>\n<li><strong>Tucker-Lewis Index (TLI):<\/strong> Typically ranges between .94 and .98.<\/li>\n<li><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> Estimates consistently range from .035 to .058 (with 90% confidence intervals bounded below .07).<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> Routinely falls between .025 and .045.<\/li>\n<\/ul>\n<p>Alternative model comparisons definitively demonstrate that forcing all 15 items onto a single omnibus &quot;credibility&quot; latent factor results in substantial model deterioration (<span class=\"arabpsy-math-inline\" data-latex=\"\\Delta \\chi^2\">$\\Delta \\chi^2$<\/span> <span class=\"arabpsy-eq\" dir=\"ltr\">values &gt; 1,200, p &lt; .001; CFI drops below .70; RMSEA climbs &gt; .14<\/span>). Similarly, combining Trustworthiness and Expertise into a single factor produces statistically inferior fit compared to the oblique three-factor solution, confirming that respondents consistently distinguish cognitive capability, moral reliability, and physical aesthetic appeal.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<p>The Source Credibility Scale is a multidimensional, standardized psychometric instrument designed for self-administration. Below are the operational specifications of the instrument:<\/p>\n<ul>\n<li><strong>Instrument Designation:<\/strong> Source Credibility Scale (SCS; Ohanian, 1990).<\/li>\n<li><strong>Test Type:<\/strong> Standardized self-report psychometric rating scale.<\/li>\n<li><strong>Measurement Format:<\/strong> 7-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Semantic_differential\" target=\"_blank\" rel=\"noopener noreferrer\">Semantic Differential<\/a> anchored by bipolar adjective pairs.<\/li>\n<li><strong>Item Count:<\/strong> 15 items total, organized evenly into three subscales of 5 items each:<\/li>\n<ul>\n<li><em>Perceived Attractiveness:<\/em> 5 bipolar adjective pairs.<\/li>\n<li><em>Perceived Trustworthiness:<\/em> 5 bipolar adjective pairs.<\/li>\n<li><em>Perceived Expertise:<\/em> 5 bipolar adjective pairs.<\/li>\n<\/ul>\n<li><strong>Administration Time:<\/strong> Approximately 2 to 4 minutes per communicator evaluated.<\/li>\n<li><strong>Target Population:<\/strong> General consumer populations, adult audiences, adolescents, and survey panels evaluating any identifiable source (celebrities, politicians, corporate spokespersons, digital influencers, peer referents, or simulated avatars).<\/li>\n<li><strong>Scoring Mechanism:<\/strong> Each semantic differential item is scored from 1 (most negative pole) to 7 (most positive pole). When randomized pole presentations are utilized to mitigate acquiescence bias, items must be reverse-scored prior to aggregation:<\/li>\n<ul>\n<li><em>Subscale Scores:<\/em> Calculated by summing or averaging the 5 items within each dimension. Averaged subscale scores yield an interpretable range of 1.00 to 7.00 for Attractiveness, Trustworthiness, and Expertise independently.<\/li>\n<li><em>Omnibus Composite Credibility:<\/em> While multidimensional profiling is strongly recommended, some researchers compute an aggregate source credibility index by calculating the grand mean across all 15 items (range: 1.00 to 7.00).<\/li>\n<\/ul>\n<li><strong>Interpretation:<\/strong> Higher scores reflect more favorable evaluations of the communicator on that specific dimension. Profiles allow comparative diagnostic evaluation (e.g., a communicator scoring 6.50 on Attractiveness but 2.10 on Expertise indicates high aesthetic appeal paired with low perceived competence for technical endorsement tasks).<\/li>\n<\/ul>\n<h2>Permissions &#038; Fee and Test Year<\/h2>\n<p>The Source Credibility Scale was formally published in <strong>1990<\/strong> in the <em>Journal of Advertising<\/em> (Volume 19, Issue 3, pages 39\u201352). The publication is copyrighted by the American Academy of Advertising and published by Taylor &amp; Francis Group.<\/p>\n<p>In accordance with standard international academic convention, the scale items, as published in an academic journal, are widely accessible and permissible for non-commercial, academic, thesis, and non-funded scientific research purposes under fair use, provided that full and explicit bibliographic attribution is given to Roobina Ohanian (1990). Commercial entities, proprietary market research agencies, and corporate brand-equity auditing platforms seeking to integrate the scale into commercial enterprise software or fee-generating consumer testing suites should verify licensing conditions with the copyright holder (<a href=\"https:\/\/www.tandfonline.com\/journals\/ujoa20\" target=\"_blank\" rel=\"noopener noreferrer\">Taylor &amp; Francis \/ American Academy of Advertising<\/a>).<\/p>\n<h2>References<\/h2>\n<ul>\n<li>Amos, C., Holmes, G., &amp; Strutton, D. (2008). Exploring the relationship between celebrity endorser effects and advertising effectiveness: A quantitative synthesis of effect size. <em>International Journal of Advertising<\/em>, 27(2), 209\u2013234. <a href=\"https:\/\/doi.org\/10.1080\/02650487.2008.11073052\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/02650487.2008.11073052<\/a><\/li>\n<li>Bergkvist, L., &amp; Zhou, K. Q. (2016). Celebrity endorsements: A literature review and research agenda. <em>International Journal of Advertising<\/em>, 35(4), 642\u2013663. <a href=\"https:\/\/doi.org\/10.1080\/02650487.2015.1137537\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/02650487.2015.1137537<\/a><\/li>\n<li>Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. <em>Journal of Marketing Management<\/em>, 15(6), 521\u2013537. <a href=\"https:\/\/doi.org\/10.1362\/026725799784870379\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1362\/026725799784870379<\/a><\/li>\n<li>Hovland, C. I., Janis, I. L., &amp; Kelley, H. H. (1953). <em>Communication and persuasion: Psychological studies of opinion change<\/em>. Yale University Press.<\/li>\n<li>Hovland, C. I., &amp; Weiss, W. (1951). The influence of source credibility on communication effectiveness. <em>Public Opinion Quarterly<\/em>, 15(4), 635\u2013650. <a href=\"https:\/\/doi.org\/10.1086\/266350\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/266350<\/a><\/li>\n<li>Kamins, M. A. (1990). An investigation into the &quot;match-up&quot; hypothesis in celebrity advertising: When beauty may be only skin deep. <em>Journal of Advertising<\/em>, 19(1), 4\u201313. <a href=\"https:\/\/doi.org\/10.1080\/00913367.1990.10673175\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/00913367.1990.10673175<\/a><\/li>\n<li>Kelman, H. C. (1961). Processes of opinion change. <em>Public Opinion Quarterly<\/em>, 25(1), 57\u201378. <a href=\"https:\/\/doi.org\/10.1086\/266996\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/266996<\/a><\/li>\n<li>Lou, C., &amp; Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. <em>Journal of Interactive Advertising<\/em>, 19(1), 58\u201373. <a href=\"https:\/\/doi.org\/10.1080\/15252019.2018.1533501\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/15252019.2018.1533501<\/a><\/li>\n<li>McCracken, G. (1989). Who is the celebrity endorser? Cultural foundations of the endorsement process. <em>Journal of Consumer Research<\/em>, 16(3), 310\u2013321. <a href=\"https:\/\/doi.org\/10.1086\/209217\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/209217<\/a><\/li>\n<li>McGuire, W. J. (1985). Attitudes and attitude change. In G. Lindzey &amp; E. Aronson (Eds.), <em>Handbook of Social Psychology<\/em> (3rd ed., Vol. 2, pp. 233\u2013346). Random House.<\/li>\n<li>Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers&#39; perceived expertise, trustworthiness, and attractiveness. <em>Journal of Advertising<\/em>, 19(3), 39\u201352. <a href=\"https:\/\/doi.org\/10.1080\/00913367.1990.10673191\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/00913367.1990.10673191<\/a><\/li>\n<li>Ohanian, R. (1991). The impact of celebrity spokespersons&#39; perceived image on consumers&#39; intention to purchase. <em>Journal of Advertising Research<\/em>, 31(1), 46\u201354.<\/li>\n<li>Petty, R. E., &amp; Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In <em>Communication and persuasion<\/em> (pp. 1\u201324). Springer. <a href=\"https:\/\/doi.org\/10.1007\/978-1-4612-4964-1_1\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/978-1-4612-4964-1_1<\/a><\/li>\n<li>Schouten, A. P., Janssen, L., &amp; Verspaget, M. (2020). Celebrity vs. influencer endorsements in advertising: The role of identification, credibility, and Product-Endorser fit. <em>International Journal of Advertising<\/em>, 39(2), 258\u2013281. <a href=\"https:\/\/doi.org\/10.1080\/02650487.2019.1634898\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/02650487.2019.1634898<\/a><\/li>\n<\/ul>\n<h2>Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p><strong>Instructions to Respondents:<\/strong> Please evaluate the specified communicator (endorser, spokesperson, or influencer) by placing a single checkmark or selecting the number along each 7-point scale that best reflects your impression. The closer your mark is to an adjective, the more strongly you feel that adjective describes the individual.<\/p>\n<h3 style=\"margin-top:24px; color:#2c3e50; border-bottom:1px solid #eee; padding-bottom:6px;\">Dimension 1: Perceived Attractiveness<\/h3>\n<p>Please rate your impression of the communicator&#39;s physical and personal appeal:<\/p>\n<ol style=\"line-height:2.2; margin-left:20px;\">\n<li>\n      <strong>Attractive<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Unattractive<\/strong>\n    <\/li>\n<li>\n      <strong>Classy<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Not Classy<\/strong>\n    <\/li>\n<li>\n      <strong>Beautiful \/ Handsome<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Ugly<\/strong>\n    <\/li>\n<li>\n      <strong>Elegant<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Plain<\/strong>\n    <\/li>\n<li>\n      <strong>Sexy<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Not Sexy<\/strong>\n    <\/li>\n<\/ol>\n<h3 style=\"margin-top:24px; color:#2c3e50; border-bottom:1px solid #eee; padding-bottom:6px;\">Dimension 2: Perceived Trustworthiness<\/h3>\n<p>Please rate your impression of the communicator&#39;s honesty, sincerity, and integrity:<\/p>\n<ol start=\"6\" style=\"line-height:2.2; margin-left:20px;\">\n<li>\n      <strong>Dependable<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Undependable<\/strong>\n    <\/li>\n<li>\n      <strong>Honest<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Dishonest<\/strong>\n    <\/li>\n<li>\n      <strong>Reliable<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Unreliable<\/strong>\n    <\/li>\n<li>\n      <strong>Sincere<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Insincere<\/strong>\n    <\/li>\n<li>\n      <strong>Trustworthy<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Untrustworthy<\/strong>\n    <\/li>\n<\/ol>\n<h3 style=\"margin-top:24px; color:#2c3e50; border-bottom:1px solid #eee; padding-bottom:6px;\">Dimension 3: Perceived Expertise<\/h3>\n<p>Please rate your impression of the communicator&#39;s competence, knowledge, and experience:<\/p>\n<ol start=\"11\" style=\"line-height:2.2; margin-left:20px;\">\n<li>\n      <strong>Expert<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Not an Expert<\/strong>\n    <\/li>\n<li>\n      <strong>Experienced<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Inexperienced<\/strong>\n    <\/li>\n<li>\n      <strong>Knowledgeable<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Unknowledgeable<\/strong>\n    <\/li>\n<li>\n      <strong>Qualified<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Unqualified<\/strong>\n    <\/li>\n<li>\n      <strong>Skilled<\/strong> &nbsp; [ 7 &nbsp; 6 &nbsp; 5 &nbsp; 4 &nbsp; 3 &nbsp; 2 &nbsp; 1 ] &nbsp; <strong>Unskilled<\/strong>\n    <\/li>\n<\/ol>\n<p style=\"margin-top:20px; font-size:13px; color:#555;\">\n    <em>Scoring note:<\/em> Polarity assignment is typically configured such that 7 represents the most positive attribute (e.g., Highly Expert, Extremely Trustworthy, Highly Attractive) and 1 represents the least positive attribute. In self-administered surveys, the presentation order of the bipolar anchors may be counterbalanced to minimize response set bias, with negative anchors reversed prior to computation.\n  <\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive psychometric review of Ohanian&#8217;s (1990) Source Credibility Scale, detailing its theoretical foundations, structural validity, reliability metrics, and operational applications across marketing communication and consumer psychology.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[2596,2,79],"tags":[2605,2604,2600,2601,2598,2602,2376,2599,2597,2603],"class_list":["post-571","psych_scale","type-psych_scale","status-publish","hentry","category-marketing-consumer-behavior","category-psychometrics","category-social-psychology","tag-advertising-psychology","tag-attractiveness","tag-celebrity-endorsers","tag-influencer-marketing","tag-ohanian","tag-perceived-expertise","tag-semantic-differential","tag-source-credibility","tag-source-credibility-scale","tag-trustworthiness"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/571","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=571"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/571\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}