{"id":6036,"date":"2026-09-23T15:09:31","date_gmt":"2026-09-23T15:09:31","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/attitude-toward-the-brand-spears-singh-ab\/"},"modified":"2026-09-23T15:09:31","modified_gmt":"2026-09-23T15:09:31","slug":"attitude-toward-the-brand-spears-singh-ab","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=attitude-toward-the-brand-spears-singh-ab","title":{"rendered":"Attitude Toward the Brand (Spears &#038; Singh) (Ab)"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p>The <strong>Attitude Toward the Brand (Ab)<\/strong> scale, formulated and rigorously validated by <a href=\"https:\/\/doi.org\/10.1080\/10641734.2004.10505164\" target=\"_blank\" rel=\"noopener noreferrer\">Nancy Spears and Surendra N. Singh (2004)<\/a>, is one of the most widely implemented, psychometrically established measurement instruments in consumer behavior, marketing communications, and advertising research. Developed to resolve systemic psychometric ambiguities, conceptual conflations, and measurement fragmentation within the marketing literature, the scale distills a historical corpus of over fifty disparate evaluative items down to a parsimonious, five-item, unidimensional construct. Operating via a <strong>7-point semantic differential scale (1 to 7)<\/strong> anchored by bipolar evaluative adjectives (<em>Unappealing \/ Appealing<\/em>, <em>Bad \/ Good<\/em>, <em>Unpleasant \/ Pleasant<\/em>, <em>Unfavorable \/ Favorable<\/em>, and <em>Unlikable \/ Likable<\/em>), the instrument captures an individual&#8217;s enduring, global affective and evaluative disposition toward a specified commercial brand or referent object.<\/p>\n<p>Across two rigorous, independent empirical studies involving diverse consumer cohorts, the Spears and Singh Ab scale demonstrated exceptional psychometric properties. Internal consistency reliability benchmarks were notably high, demonstrating <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach&#8217;s alpha<\/a> coefficients of .97 in Study 1 and .95 in Study 2, alongside composite reliability indices of .97 and .94, respectively. Convergent validity was established with average variance extracted (AVE) estimates of .86 (Study 1) and .77 (Study 2), substantially exceeding canonical thresholds. Nomological and construct validity were verified using structural equation modeling (SEM), positioning brand attitude as a critical mediating variable within the classic advertising hierarchy: positive affective responses and attitude toward the advertisement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>) drive brand attitude (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>), which directly governs behavioral purchase intentions (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>). Furthermore, stringent tests of discriminant validity, including chi-square difference tests and the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fornell%E2%80%93Larcker_criterion\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell-Larcker criterion<\/a>, demonstrated empirical distinctiveness between brand evaluations and conative intentions. The instrument remains an essential, highly adaptable diagnostic and theoretical tool across academic and commercial domains.<\/p>\n<h2>2. Keywords<\/h2>\n<p>Attitude Toward the Brand, Brand Evaluation, Semantic Differential, Spears and Singh, Consumer Psychology, Advertising Effectiveness, Psychometrics, Nomological Validity, Purchase Intentions, Hierarchy of Effects, Structural Equation Modeling, Construct Validity, Attitude Toward the Ad<\/p>\n<h2>3. Authors<\/h2>\n<p>The scale was developed and psychometrically validated by:<\/p>\n<ul>\n<li><strong>Nancy Spears, Ph.D.<\/strong> \u2014 Professor of Marketing, Department of Marketing, G. Brint Ryan College of Business, University of North Texas, Denton, Texas, United States. Dr. Spears has published extensively on consumer behavior, brand perception, metaphorical advertising, and measurement development in marketing.<\/li>\n<li><strong>Surendra N. Singh, Ph.D.<\/strong> \u2014 Southwestern Bell Chair and Professor of Marketing, School of Business, University of Kansas, Lawrence, Kansas, United States. Dr. Singh is an internationally recognized authority on consumer information processing, advertising psychology, psychometric measurement, and nonconscious brand effects.<\/li>\n<\/ul>\n<p>Correspondence regarding the foundational validation study was originally addressed to the authors via the Department of Marketing, University of North Texas, and the School of Business, University of Kansas, and published within the peer-reviewed <em>Journal of Current Issues &amp; Research in Advertising<\/em>.<\/p>\n<h2>4. Purpose<\/h2>\n<p>The primary purpose of the Spears and Singh (2004) Attitude Toward the Brand scale is to provide a theoretically grounded, psychometrically standardized, and parsimonious assessment tool for capturing an individual&#8217;s overall evaluative judgment of a brand. Prior to its formal publication, the empirical measurement of brand attitude within marketing, consumer psychology, and applied communication studies was marred by extensive methodological inconsistency. Researchers routinely devised idiosyncratic, ad hoc scales spanning between 3 and 15 items, frequently confounding purely affective appraisals (e.g., pleasantness, appeal) with cognitive dimensions (e.g., utility, quality, performance) or conflating attitude with behavioral intentions.<\/p>\n<p>Spears and Singh addressed this measurement fragmentation by conducting an exhaustive synthesis of the prior literature, extracting an initial pool of 52 historical <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> items, and subjecting them to rigorous purification procedures. Their goal was to operationalize a clean, unidimensional semantic differential tool that satisfies the classical psychometric criteria established by Churchill (1979) and Gerbing and Anderson (1988). The resulting 5-item scale is engineered to capture a consumer&#8217;s summary evaluation without placing excessive cognitive burden on survey respondents, rendering it ideal for laboratory experiments, longitudinal tracking, commercial brand audits, and complex structural equation models where respondent fatigue must be minimized.<\/p>\n<p>In applied and academic contexts, the scale serves multiple vital functions:<\/p>\n<ul>\n<li><strong>Academic Research in Consumer Psychology:<\/strong> Investigates the cognitive and affective determinants of consumer preference, the mediating mechanisms of marketing stimuli, and the longitudinal impact of brand repositioning campaigns.<\/li>\n<li><strong>Advertising Testing and Copy Optimization:<\/strong> Quantifies pre- and post-exposure shifts in brand sentiment elicited by specific advertising executions, digital creative variants, influencer marketing, or cross-media campaigns.<\/li>\n<li><strong>Brand Equity and Commercial Diagnostics:<\/strong> Serves as a key performance indicator (KPI) within brand tracking systems, benchmark testing against competitors, and post-crisis brand damage assessments.<\/li>\n<li><strong>Nomological Theory Testing:<\/strong> Evaluates theoretical models linking antecedent constructs\u2014such as brand personality, corporate social responsibility, and attitude toward the advertisement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>)\u2014to downstream behavioral outcomes such as brand loyalty, willingness to pay a price premium, and immediate purchase intention (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>).<\/li>\n<\/ul>\n<h2>5. Psychological Construct<\/h2>\n<p>The psychological construct assessed by this instrument is <strong>Attitude Toward the Brand (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>)<\/strong>. Rooted in social psychology and consumer behavior, an attitude is classically defined as a learned predisposition to respond in a consistently favorable or unfavorable manner with respect to a given object (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Theory_of_planned_behavior\" target=\"_blank\" rel=\"noopener noreferrer\">Fishbein &amp; Ajzen, 1975<\/a>). Within consumer research, Spears and Singh align their conceptualization with the influential framework established by <a href=\"https:\/\/doi.org\/10.1177\/002224378101800306\" target=\"_blank\" rel=\"noopener noreferrer\">Mitchell and Olson (1981)<\/a>, who defined attitude toward the brand as an individual&#8217;s internal, enduring, unidimensional summary evaluation of the brand that energizes, directs, and sustains consumer behavior.<\/p>\n<p>Crucially, Spears and Singh conceptualized and verified <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> as a <strong>strictly unidimensional construct<\/strong>. While traditional attitude theories have historically debated the tripartite model (affect, cognition, and conation), empirical consensus in psychometrics emphasizes that summary brand evaluation operates as a unified evaluative continuum. Cognitive beliefs (e.g., &#8220;This brand is technologically advanced&#8221;) serve as antecedents or informational foundations, whereas conative responses (e.g., &#8220;I will buy this brand tomorrow&#8221;) represent downstream behavioral consequences. The construct of <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> occupies the central, integrating evaluative node within this chain.<\/p>\n<p>The five bipolar adjective pairs selected by Spears and Singh reflect essential nuances of this global evaluative space while preserving statistical unidimensionality:<\/p>\n<ul>\n<li><strong>Unappealing \/ Appealing:<\/strong> Reflects the motivational and valence pull of the brand. An appealing brand stimulates intrinsic interest and curiosity, drawing the consumer toward further cognitive or behavioral interaction.<\/li>\n<li><strong>Bad \/ Good:<\/strong> Represents the classical, overarching evaluative dimension described in Osgood, Suci, and Tannenbaum&#8217;s (1957) landmark work on semantic measurement. It captures the normative, fundamental valence of the object.<\/li>\n<li><strong>Unpleasant \/ Pleasant:<\/strong> Taps into the experiential, affective tone associated with the brand name or logo. It assesses whether cognitive activation of the brand elicits subjective affective comfort or discomfort.<\/li>\n<li><strong>Unfavorable \/ Favorable:<\/strong> Captures an overarching, deliberate judgment of orientation. A favorable attitude indicates overall approval, endorsement, and readiness to support the entity.<\/li>\n<li><strong>Unlikable \/ Likable:<\/strong> Reflects personal resonance, affinity, and relational warmth. Likability has long been recognized in commercial communication as an emotional catalyst that differentiates functional parity products.<\/li>\n<\/ul>\n<p>By measuring these five closely aligned facets on a standardized continuous scale, the construct captures the consumer&#8217;s aggregate affective-evaluative stance toward the focal brand.<\/p>\n<h2>6. Theoretical Framework<\/h2>\n<p>The Spears and Singh Attitude Toward the Brand scale is embedded within the <strong>Hierarchy of Effects<\/strong> paradigm and information-processing models of consumer decision-making. Historically, marketing communication theory posits that consumers pass through a sequence of psychological stages when exposed to commercial stimuli: cognitive (awareness, knowledge, perception), affective (liking, preference, attitude formation), and conative (conviction, purchase intention, actual behavior).<\/p>\n<p>The instrument directly operationalizes the central mediating component of the <strong>Dual Mediation Hypothesis (DMH)<\/strong> and the classic <strong><span class=\"arabpsy-math-inline\" data-latex=\"A_{ad} \nightarrow A_b \nightarrow PI\">$A_{ad}<br \/>\nightarrow A_b<br \/>\nightarrow PI$<\/span> model<\/strong> introduced by Mitchell and Olson (1981) and expanded by <a href=\"https:\/\/doi.org\/10.1177\/002224378602300205\" target=\"_blank\" rel=\"noopener noreferrer\">MacKenzie, Lutz, and Belch (1986)<\/a>. According to this framework, an individual&#8217;s affective reaction to an advertisement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{ad}\">$A_{ad}$<\/span>) exerts a direct, powerful influence on their attitude toward the advertised brand (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>), both directly through classical conditioning\/affect transfer and indirectly via brand cognitions. In turn, brand attitude acts as the immediate psychological antecedent that drives behavioral purchase intentions (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>).<\/p>\n<p>Furthermore, the scale&#8217;s theoretical foundation intersects with the <strong>Expectancy-Value Model<\/strong> (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Martin_Fishbein\" target=\"_blank\" rel=\"noopener noreferrer\">Fishbein<\/a>, 1963) and the <strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Elaboration_likelihood_model\" target=\"_blank\" rel=\"noopener noreferrer\">Elaboration Likelihood Model (ELM)<\/a><\/strong> developed by Petty and Cacioppo (1986). Under both high-elaboration (central route) and low-elaboration (peripheral route) conditions, the ultimate output of consumer persuasion is an updated, consolidated summary attitude toward the focal brand. Whether formed through deliberate evaluation of central product arguments or via peripheral heuristic cues (such as celebrity endorsements or aesthetic background music), the resultant construct is captured by the five bipolar indicators standardized by Spears and Singh.<\/p>\n<p>Spears and Singh specifically designed their research to disentangle <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> from purchase intentions (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>). Theoretically, an individual can harbor an exceptionally favorable attitude toward a luxury brand (e.g., Rolls-Royce or Rolex) while maintaining zero intention to purchase due to budgetary constraints, situational irrelevance, or social norms. Conversely, a consumer may display high purchase intentions toward a mundane utility brand (e.g., an inexpensive municipal utility or basic commodity) despite a neutral or lukewarm brand attitude. By proving that <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span> load onto distinct, albeit correlated, latent factors, Spears and Singh substantiated the theoretical boundary separating affective-evaluative states from behavioral action readiness.<\/p>\n<h2>7. Validity<\/h2>\n<p>Spears and Singh (2004) subjected their 5-item scale to extensive, multifaceted validity evaluations across two independent empirical studies involving undergraduate business students exposed to real, full-color print advertisements. The empirical findings demonstrated outstanding validity across multiple dimensions:<\/p>\n<h3>Construct and Convergent Validity<\/h3>\n<p>Convergent validity assesses the extent to which the five operational indicators share a high proportion of common variance representing the underlying latent brand attitude. In confirmatory factor analysis (CFA), convergent validity is evidenced by high, statistically significant factor loadings and an <strong>Average Variance Extracted (AVE)<\/strong> exceeding the conventional threshold of .50 (<a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell &amp; Larcker, 1981<\/a>).<\/p>\n<ul>\n<li><strong>Study 1:<\/strong> Standardized factor loadings across the 5 items ranged from .90 to .95 (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). The AVE for the <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> construct was calculated at <strong>.86<\/strong>, indicating that 86% of the variance in the items was directly accounted for by the underlying brand attitude construct.<\/li>\n<li><strong>Study 2:<\/strong> In a separate validation sample using different product categories, standardized loadings remained exceptionally high, ranging from .82 to .91 (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). The AVE was <strong>.77<\/strong>, once again markedly outperforming standard psychometric criteria.<\/li>\n<\/ul>\n<h3>Discriminant Validity<\/h3>\n<p>A critical contribution of the Spears and Singh study was establishing rigorous discriminant validity between Attitude Toward the Brand (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>) and Purchase Intentions (<span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span>). Spears and Singh implemented three formal methodological tests:<\/p>\n<ol>\n<li><strong>Confidence Interval Test:<\/strong> The correlation between <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span> was examined to ensure that the 95% confidence interval (<span class=\"arabpsy-math-inline\" data-latex=\"\\Phi \\pm 2 \times \text{SE}\">$\\Phi \\pm 2 \times \text{SE}$<\/span>) did not include 1.0. In both studies, the confidence intervals remained well below unity (Study 1: <span class=\"arabpsy-math-inline\" data-latex=\"r = .64\">$r = .64$<\/span>; Study 2: <span class=\"arabpsy-math-inline\" data-latex=\"r = .66\">$r = .66$<\/span>).<\/li>\n<li><strong>Chi-Square Difference Test (<span class=\"arabpsy-math-inline\" data-latex=\"\\Delta\\chi^2\">$\\Delta\\chi^2$<\/span>):<\/strong> CFA models where the correlation between <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span> was constrained to unity (<span class=\"arabpsy-math-inline\" data-latex=\"Phi = 1.0\">$Phi = 1.0$<\/span>) were compared against unconstrained models (<span class=\"arabpsy-math-inline\" data-latex=\"Phi\">$Phi$<\/span> freely estimated). In both studies, the unconstrained models yielded a statistically significant improvement in fit (<span class=\"arabpsy-math-inline\" data-latex=\"\\Delta\\chi^2 &gt; 100, p &lt; .001\">$\\Delta\\chi^2 &gt; 100, p &lt; .001$<\/span>), confirming that the two constructs are non-redundant.<\/li>\n<li><strong>Fornell-Larcker Criterion:<\/strong> The AVE for <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> (.86 and .77) substantially exceeded the squared correlation between <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"PI\">$PI$<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"r^2 = .41\">$r^2 = .41$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".44\">$.44$<\/span>), providing robust proof of discriminant validity.<\/li>\n<\/ol>\n<h3>Nomological and Predictive Validity<\/h3>\n<p>Nomological validity was demonstrated through full structural equation modeling testing the theoretical sequence: $\text{Affective Responses}<br \/>\nightarrow A_{ad}<br \/>\nightarrow A_b<br \/>\nightarrow PI<span class=\"arabpsy-math-inline\" data-latex=\". The path coefficient from\">$. The path coefficient from$<\/span>A_b$ to Purchase Intentions was positive, strong, and highly significant (<span class=\"arabpsy-math-inline\" data-latex=\"\\gamma = .64\">$\\gamma = .64$<\/span> in Study 1 and <span class=\"arabpsy-math-inline\" data-latex=\"\\gamma = .66\">$\\gamma = .66$<\/span> in Study 2, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). Furthermore, <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> fully mediated the influence of advertising attitudes on final conative intentions, affirming its theoretical role within consumer decision hierarchies.<\/p>\n<h2>8. Reliability<\/h2>\n<p>The Spears and Singh Attitude Toward the Brand instrument exhibits remarkable internal consistency reliability across varied testing conditions. In psychometric research, internal consistency evaluates how well the individual items within an instrument measure the same unified latent phenomenon.<\/p>\n<p>Spears and Singh reported the following statistical reliability indices across their investigations:<\/p>\n<ul>\n<li><strong>Cronbach&#8217;s Alpha (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span>):<\/strong>\n<ul>\n<li>Study 1 (<span class=\"arabpsy-math-inline\" data-latex=\"N = 194\">$N = 194$<\/span>): <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha = \\mathbf{.97}\">$\u0007lpha = \\mathbf{.97}$<\/span><\/li>\n<li>Study 2 (<span class=\"arabpsy-math-inline\" data-latex=\"N = 259\">$N = 259$<\/span>): <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha = \\mathbf{.95}\">$\u0007lpha = \\mathbf{.95}$<\/span><\/li>\n<\/ul>\n<p>    Both values exceed the stringent .90 threshold recommended by Nunnally and Bernstein (1994) for high-stakes, applied, and basic research settings, indicating near-negligible measurement error.<\/li>\n<li><strong>Composite Reliability (CR):<\/strong>\n<ul>\n<li>Study 1: $\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{CR} = mathbf{.97}<\/span>$<\/li>\n<li>Study 2: $\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{CR} = mathbf{.94}<\/span>$<\/li>\n<\/ul>\n<p>    Composite reliability calculations (which do not assume tau-equivalence, unlike Cronbach&#8217;s alpha) confirmed that the weighted linear combinations of the five indicators exhibit outstanding internal cohesion.<\/li>\n<\/ul>\n<p>Subsequent replications across independent laboratories, consumer demographics, and varied media contexts (including digital banner ads, video commercials, and social media promotions) have routinely yielded alpha coefficients ranging between .91 and .98. The instrument possesses virtually no item redundancy while securing robust score stability across different experimental conditions.<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>The scale development procedure executed by Spears and Singh involved a rigorous two-phase analytical process utilizing both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).<\/p>\n<h3>Exploratory Factor Analysis (EFA) Phase<\/h3>\n<p>The authors began with an extensive pool of 52 historical <span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span> items drawn from 30 published advertising and consumer studies. In the initial purification stage, items were administered across multiple print advertisements. Principal Axis Factoring with oblique (Promax) rotation revealed that the vast majority of items clustered heavily along a dominant evaluative factor. Items exhibiting cross-loadings greater than .30, communalities below .50, or semantic redundancy were iteratively eliminated. This systematic reduction isolated the 5 cleanest, highest-loading bipolar adjective pairs, which explained over 80% of the total variance with no secondary eigenvalues exceeding unity.<\/p>\n<h3>Confirmatory Factor Analysis (CFA) Phase<\/h3>\n<p>In Study 1 and Study 2, the five-item structure was formally evaluated via CFA using Maximum Likelihood estimation within LISREL\/AMOS software suites. The measurement model specified a single latent variable (<span class=\"arabpsy-math-inline\" data-latex=\"A_b\">$A_b$<\/span>) with five continuous observed indicators and independent, uncorrelated error terms (<span class=\"arabpsy-math-inline\" data-latex=\"\\delta_1 - \\delta_5\">$\\delta_1 &#8211; \\delta_5$<\/span>).<\/p>\n<p>Model fit indices across both validation studies were exemplary, demonstrating exceptional fit between the proposed unidimensional model and the observed covariance matrices:<\/p>\n<ul>\n<li><strong>Study 1 CFA Results:<\/strong>\n<ul>\n<li>Chi-Square to Degrees of Freedom Ratio (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 \/ df\">$\\chi^2 \/ df$<\/span>): $1.82$ (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(5) = 9.10, p &gt; .10\">$\\chi^2(5) = 9.10, p &gt; .10$<\/span>)<\/li>\n<li>Goodness-of-Fit Index (GFI): <span class=\"arabpsy-math-inline\" data-latex=\".98\">$.98$<\/span><\/li>\n<li>Comparative Fit Index (CFI): <span class=\"arabpsy-math-inline\" data-latex=\".99\">$.99$<\/span><\/li>\n<li>Non-Normed Fit Index (NNFI \/ TLI): <span class=\"arabpsy-math-inline\" data-latex=\".99\">$.99$<\/span><\/li>\n<li>Root Mean Square Error of Approximation (RMSEA): <span class=\"arabpsy-math-inline\" data-latex=\".042\">$.042$<\/span> (with 90% CI <span class=\"arabpsy-math-inline\" data-latex=\"[.000, .085]\">$[.000, .085]$<\/span>)<\/li>\n<li>Standardized Factor Loadings (<span class=\"arabpsy-math-inline\" data-latex=\"lambda\">$lambda$<\/span>): All five items exhibited loadings <span class=\"arabpsy-math-inline\" data-latex=\"ge .90\">$ge .90$<\/span>.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Study 2 CFA Results:<\/strong>\n<ul>\n<li>Chi-Square to Degrees of Freedom Ratio (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 \/ df\">$\\chi^2 \/ df$<\/span>): $2.14$ (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(5) = 10.70, p &lt; .06\">$\\chi^2(5) = 10.70, p &lt; .06$<\/span>)<\/li>\n<li>Goodness-of-Fit Index (GFI): <span class=\"arabpsy-math-inline\" data-latex=\".97\">$.97$<\/span><\/li>\n<li>Comparative Fit Index (CFI): <span class=\"arabpsy-math-inline\" data-latex=\".99\">$.99$<\/span><\/li>\n<li>Non-Normed Fit Index (NNFI \/ TLI): <span class=\"arabpsy-math-inline\" data-latex=\".98\">$.98$<\/span><\/li>\n<li>Root Mean Square Error of Approximation (RMSEA): <span class=\"arabpsy-math-inline\" data-latex=\".051\">$.051$<\/span> (with 90% CI <span class=\"arabpsy-math-inline\" data-latex=\"[.010, .092]\">$[.010, .092]$<\/span>)<\/li>\n<li>Standardized Factor Loadings (<span class=\"arabpsy-math-inline\" data-latex=\"lambda\">$lambda$<\/span>): Loadings ranged between <span class=\"arabpsy-math-inline\" data-latex=\".82\">$.82$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".91\">$.91$<\/span>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>These empirical metrics firmly confirmed that a single-factor, five-indicator measurement model represents the most parsimonious and psychometrically stable representation of consumer brand attitude.<\/p>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Instrument Name:<\/strong> Attitude Toward the Brand Scale (Ab)<\/li>\n<li><strong>Authors:<\/strong> Nancy Spears and Surendra N. Singh (2004)<\/li>\n<li><strong>Construct Measured:<\/strong> Consumer&#8217;s global, relatively enduring, unidimensional affective and evaluative disposition toward a specified brand<\/li>\n<li><strong>Format \/ Administration:<\/strong> Self-administered paper-and-pencil questionnaire, web-based survey, or mobile testing panel<\/li>\n<li><strong>Number of Items:<\/strong> 5 bipolar adjective pairs<\/li>\n<li><strong>Response Scale:<\/strong> 7-point semantic differential scale (1 to 7)<\/li>\n<li><strong>Item Configuration:<\/strong>\n<ul>\n<li>Item 1: Unappealing (1) vs. Appealing (7)<\/li>\n<li>Item 2: Bad (1) vs. Good (7)<\/li>\n<li>Item 3: Unpleasant (1) vs. Pleasant (7)<\/li>\n<li>Item 4: Unfavorable (1) vs. Favorable (7)<\/li>\n<li>Item 5: Unlikable (1) vs. Likable (7)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Scoring Rules:<\/strong> All five items are scored from 1 (most negative evaluation) to 7 (most positive evaluation). An overall Attitude Toward the Brand index is calculated by computing the arithmetic mean (or sum) across all 5 completed items. Total composite mean scores range from 1.00 to 7.00 (or sum scores from 5 to 35), with higher numeric values indicating a more favorable, positive attitude toward the brand.<\/li>\n<li><strong>Adaptability:<\/strong> Highly adaptable across referent entities; researchers routinely evaluate corporate brands, consumer packaged goods, service providers, retail stores, advertisements, or digital platforms by substituting the focal brand name within the questionnaire instructional stem while keeping the bipolar adjectives identical.<\/li>\n<\/ul>\n<h2>11. Permissions &amp; Fee and Test Year<\/h2>\n<p>The scale was developed, validated, and published by Nancy Spears and Surendra N. Singh in the <strong>year 2004<\/strong> within the <em>Journal of Current Issues &amp; Research in Advertising<\/em> (Volume 26, Issue 2, pages 53\u201366), published by <a href=\"https:\/\/www.tandfonline.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Taylor &amp; Francis<\/a>.<\/p>\n<p><strong>Licensing and Usage Permissions:<\/strong><\/p>\n<ul>\n<li><strong>Academic Research:<\/strong> The scale is considered an open-access psychometric instrument for non-commercial academic research, pedagogical use, and scholarly scientific investigations. Researchers may administer the items without explicit written permission, provided that appropriate scholarly attribution and standard academic citations (Spears &amp; Singh, 2004) are provided.<\/li>\n<li><strong>Commercial and Proprietary Applications:<\/strong> While the 5 bipolar pairs represent general semantic terms, commercial enterprises, market research agencies, or consulting organizations incorporating the scale into proprietary commercial software, diagnostic benchmarking platforms, or published industry reports should review institutional access guidelines and Taylor &amp; Francis copyright policies to maintain intellectual compliance.<\/li>\n<li><strong>Fees:<\/strong> There are no administrative fees or testing royalties associated with utilizing the scale for basic academic scientific inquiry.<\/li>\n<\/ul>\n<h2>12. References<\/h2>\n<ul>\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\u201373. <a href=\"https:\/\/doi.org\/10.1177\/002224377901600110\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224377901600110<\/a><\/li>\n<li>Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. <em>Human Relations<\/em>, 16(3), 233\u2013239. <a href=\"https:\/\/doi.org\/10.1177\/001872676301600302\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/001872676301600302<\/a><\/li>\n<li>Fishbein, M., &amp; Ajzen, I. (1975). <em>Belief, attitude, intention, and behavior: An introduction to theory and research<\/em>. Addison-Wesley.<\/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\u201350. <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\u2013192. <a href=\"https:\/\/doi.org\/10.1177\/002224378802500207\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378802500207<\/a><\/li>\n<li>MacKenzie, S. B., Lutz, R. J., &amp; Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. <em>Journal of Marketing Research<\/em>, 23(2), 130\u2013143. <a href=\"https:\/\/doi.org\/10.1177\/002224378602300205\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378602300205<\/a><\/li>\n<li>Mitchell, A. A., &amp; Olson, J. C. (1981). Are product attribute beliefs the only mediator of advertising effects on brand attitude? <em>Journal of Marketing Research<\/em>, 18(3), 318\u2013332. <a href=\"https:\/\/doi.org\/10.1177\/002224378101800306\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378101800306<\/a><\/li>\n<li>Nunnally, J. C., &amp; Bernstein, I. H. (1994). <em>Psychometric theory<\/em> (3rd ed.). McGraw-Hill.<\/li>\n<li>Osgood, C. E., Suci, G. J., &amp; Tannenbaum, P. H. (1957). <em>The measurement of meaning<\/em>. University of Illinois Press.<\/li>\n<li>Petty, R. E., &amp; Cacioppo, J. T. (1986). The Elaboration Likelihood Model of persuasion. <em>Advances in Experimental Social Psychology<\/em>, 19, 123\u2013205. <a href=\"https:\/\/doi.org\/10.1016\/S0065-2601(08)60214-2\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/S0065-2601(08)60214-2<\/a><\/li>\n<li>Spears, N., &amp; Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. <em>Journal of Current Issues &amp; Research in Advertising<\/em>, 26(2), 53\u201366. <a href=\"https:\/\/doi.org\/10.1080\/10641734.2004.10505164\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/10641734.2004.10505164<\/a><\/li>\n<\/ul>\n<h2>13. Items of the Scale (Questionnaire)<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:12px; margin:28px 0; overflow:hidden; box-shadow:0 4px 12px rgba(0,0,0,0.03);\">\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n    Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n  <\/div>\n<div class=\"wpt-scale-english-box\" style=\"direction:ltr; text-align:left; padding:20px 24px; font-family:-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; font-size:14.5px; color:#1e293b; line-height:1.7;\">\n<div class=\"wpt-scale-instructions\" style=\"background:#f1f5f9; border-left:4px solid #64748b; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:16px; font-size:13.5px; color:#334155;\">\n      <strong style=\"color:#0f172a;\">Instructions \/ Directions:<\/strong> Please rate your overall evaluation of the brand on the following scales:\n    <\/div>\n<div class=\"wpt-scale-response-format\" style=\"background:#eff6ff; border-left:4px solid #3b82f6; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:14px; font-size:13.5px; color:#1e40af;\">\n      <strong style=\"color:#1e3a8a;\">Response Scale:<\/strong> 7-point semantic differential scale (1 to 7)\n    <\/div>\n<div class=\"wpt-scale-reverse-scoring\" style=\"background:#fffbeb; border-left:4px solid #f59e0b; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:14px; font-size:13.5px; color:#92400e;\">\n      <strong style=\"color:#78350f;\">Scoring \/ Reverse Items:<\/strong> All items are scored from 1 to 7 and averaged (or summed) to produce an overall attitude toward the brand score, with higher scores reflecting more positive brand evaluation.\n    <\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">1<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Unappealing \/ Appealing<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">2<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Bad \/ Good<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">3<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Unpleasant \/ Pleasant<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">4<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Unfavorable \/ Favorable<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">5<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Unlikable \/ Likable<\/div>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive psychometric guide to the Attitude Toward the Brand (Ab) scale developed by Nancy Spears and Surendra N. Singh (2004), exploring its theoretical foundation, factor analysis, reliability, validity, and verified administration items.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2315,2],"tags":[9645,14785,2275,6,35,2376,19261],"class_list":["post-6036","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-marketing-measurement","category-psychometrics","tag-advertising-effectiveness","tag-attitude-toward-the-brand","tag-consumer-behavior","tag-psychometrics","tag-scale-validation","tag-semantic-differential","tag-spears-and-singh"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6036","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=6036"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6036\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}