{"id":4236,"date":"2026-09-17T01:10:29","date_gmt":"2026-09-17T01:10:29","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/attitude-toward-prices-allocative-effects-atp\/"},"modified":"2026-09-17T01:10:29","modified_gmt":"2026-09-17T01:10:29","slug":"attitude-toward-prices-allocative-effects-atp","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=attitude-toward-prices-allocative-effects-atp","title":{"rendered":"Attitude Toward Prices (Allocative Effects) (ATP)"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">The <strong>Attitude Toward Prices (Allocative Effects) (ATP)<\/strong> scale is a specialized psychometric instrument operationalized by <a href=\"https:\/\/scholar.google.com\/citations?user=nZgJjZMAAAAJ\" target=\"_blank\" rel=\"noopener noreferrer\">Franziska V\u00f6lckner<\/a> (2008) to measure the negative, sacrifice-oriented dimension of consumer price perceptions. Embedded within the broader theoretical paradigm of the &#8220;dual role of price,&#8221; the instrument isolates the extent to which consumers view price as an allocative constraint\u2014a direct financial outlay and monetary sacrifice that reduces discretionary income\u2014independent of its alternative function as a signal of product quality. Comprising three self-report items evaluated on a 7-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Likert_scale\" target=\"_blank\" rel=\"noopener noreferrer\">Likert scale<\/a> (ranging from 1 = <em>Strongly disagree<\/em> to 7 = <em>Strongly agree<\/em>), the ATP scale assesses the behavioral salience of pricing information during the acquisition process, the prioritization of price during brand evaluation, and the degree of behavioral inhibition caused by higher expenditure thresholds. Psychometric evaluations across multiple product categories consistently demonstrate strong internal consistency (Cronbach&rsquo;s &alpha; typically exceeding .80; composite reliability &gt; .85), robust construct validity, and significant predictive efficacy regarding consumer price elasticity, willingness to pay, and brand switching behavior. The measure serves as an indispensable tool in behavioral pricing research, consumer psychology, and market segmentation strategies<\/span>.<\/p>\n<h2>2. Keywords<\/h2>\n<p>Attitude Toward Prices, Allocative Effects, Monetary Sacrifice, Dual Role of Price, Psychometrics, Consumer Behavior, Price Sensitivity, Willingness to Pay, Behavioral Economics, Perceived Value<\/p>\n<h2>3. Authors<\/h2>\n<p>The scale was developed and validated by <strong>Franziska V\u00f6lckner<\/strong>, Professor of Marketing and Head of the Department of Marketing and Brand Management at the University of Cologne, Germany. Her extensive scholarship focuses on consumer behavior, brand management, pricing strategy, and quantitative psychometric modeling in marketing sciences. Correspondence concerning the foundational empirical derivation of the scale should be addressed to the Department of Marketing and Brand Management, University of Cologne, Albertus-Magnus-Platz, 50923 Cologne, Germany, or via academic correspondence channels through the <a href=\"https:\/\/www.wiso.uni-koeln.de\/en\/\" target=\"_blank\" rel=\"noopener noreferrer\">Faculty of Management, Economics and Social Sciences<\/a>.<\/p>\n<h2>4. Purpose<\/h2>\n<p>In modern consumer psychology and behavioral economics, the cognitive appraisal of price is recognized as inherently multifaceted. Price operates not merely as an objective economic constraint, but as a complex perceptual stimulus that triggers divergent psychological mechanisms. The fundamental purpose of the Attitude Toward Prices (Allocative Effects) scale is to isolate, quantify, and model the <em>allocative<\/em>\u2014or monetary sacrifice\u2014function of price within consumer decision-making architectures.<\/p>\n<p>Historically, classical economic theory conceptualized price almost exclusively in an allocative capacity: an objective quantity of purchasing power that a consumer must relinquish to acquire a bundle of utilities. In contrast, marketing scholars have long observed that price also possesses an <em>informational<\/em> or <em>signaling<\/em> role, wherein consumers infer unobservable product quality, prestige, and reliability from elevated price tags. Because these two internal mechanisms exert opposing influences on final choice (the allocative effect decreases purchase probability, whereas the informational effect may increase it), aggregate market-level data often obscures the underlying psychological processes. The ATP scale was constructed to provide an explicit, unconfounded psychological metric of the allocative dimension, allowing behavioral researchers to disentangle subjective financial sacrifice from quality inferences.<\/p>\n<p>The scale has broad utility across research and applied domains:<\/p>\n<ul>\n<li><strong>Behavioral Pricing and Elasticity Modeling:<\/strong> Researchers employ the ATP scale to explain heterogeneous price elasticity curves across demographic, cultural, and socioeconomic cohorts. Individuals scoring high on the ATP exhibit elevated sensitivity to price increases, compressed reservation prices, and heightened search tendencies for promotional pricing.<\/li>\n<li><strong>Market Segmentation and Positioning:<\/strong> Brand managers utilize the scale to profile market segments based on their psychological sensitivity to financial outlays. By cross-tabulating allocative scores with informational price-quality scores, strategists can classify consumers into distinct typologies\u2014such as value seekers, prestige seekers, price-indifferent consumers, and highly constrained buyers.<\/li>\n<li><strong>Experimental Consumer Psychology:<\/strong> The instrument serves as an essential covariate, mediator, or moderator in experimental designs evaluating the impact of framing effects, mental accounting, price promotions, dynamic pricing algorithms, and inflation shocks on product choice.<\/li>\n<li><strong>Public Policy and Welfare Economics:<\/strong> Psychologists and behavioral economists use the scale to measure the psychological strain and perceived financial burden imposed by price volatility on low-income and vulnerable populations.<\/li>\n<\/ul>\n<h2>5. Psychological Construct<\/h2>\n<p>The psychological construct captured by the Attitude Toward Prices (Allocative Effects) scale is rooted in the cognitive perception of <strong>monetary sacrifice<\/strong>. Grounded in cognitive appraisal theory and <a href=\"https:\/\/en.wikipedia.org\/wiki\/Mental_accounting\" target=\"_blank\" rel=\"noopener noreferrer\">mental accounting<\/a>, the allocative dimension reflects the psychological pain of paying, the salience of opportunity costs, and the inhibitory mechanism associated with parting with financial resources.<\/p>\n<h3>The Tripartite Nature of the Allocative Construct<\/h3>\n<p>V\u00f6lckner&rsquo;s operationalization captures three interrelated sub-facets of the allocative perception:<\/p>\n<ol>\n<li><strong>Cognitive Primacy and Evaluation Weight:<\/strong> Measured via the assertion that price is a dominant evaluation criterion. This reflects the central processing priority assigned to monetary outlays during the information search stage. Consumers with a strong allocative orientation automatically categorize products along a budget-allocation axis prior to examining functional attributes.<\/li>\n<li><strong>Information Search Sequence:<\/strong> Evaluated through the procedural habit of inspecting the price tag before examining product characteristics. This operationalizes temporal priority in sensory and cognitive processing, indicating that monetary cost serves as an initial cognitive gatekeeper or filtering mechanism.<\/li>\n<li><strong>Behavioral Inhibition:<\/strong> Reflected in the psychological deterrence created by high absolute price levels. This captures the negative emotional and rational reaction to pricing that exceeds acceptable thresholds, leading to choice deferral, consideration set truncation, or product abandonment.<\/li>\n<\/ol>\n<p>The construct is deliberately distinct from constructs such as <em>value consciousness<\/em> or <em>smart-shopper self-perception<\/em>. Value consciousness explicitly incorporates a quality-to-price ratio, assessing whether the perceived quality justifies the financial expenditure. In contrast, the allocative attitude isolated by the ATP scale measures the pure, unadulterated aversion to the expenditure itself, focusing squarely on the budget constraint and the experienced discomfort of resource depletion.<\/p>\n<h2>6. Theoretical Framework<\/h2>\n<p>The ATP scale is situated within the <strong>Dual Role of Price Framework<\/strong>, which synthesizes classical economic axioms with modern behavioral and cognitive theories of consumer judgment. The intellectual lineage of this framework traces through several foundational paradigms:<\/p>\n<h3>1. The Classical and Neoclassical Baseline<\/h3>\n<p>In standard microeconomic theory, consumer utility maximization is subjected to an objective budget constraint. The allocative role of price directly mirrors this constraint: higher prices reduce the consumer&rsquo;s feasible consumption set, necessitating greater opportunity costs in terms of forgone alternatives. The ATP scale operationalizes the internal, psychological representation of this macroeconomic constraint, translating economic trade-offs into measurable consumer attitudes.<\/p>\n<h3>2. The Dual-Role Synthesis (Monroe, Zeithaml, and Rao)<\/h3>\n<p>Seminal work by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Kent_B._Monroe\" target=\"_blank\" rel=\"noopener noreferrer\">Kent B. Monroe<\/a> (1973), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Valarie_Zeithaml\" target=\"_blank\" rel=\"noopener noreferrer\">Valarie Zeithaml<\/a> (1988), and Akshay R. Rao and Monroe (1989) demonstrated that price stimulates two competing mental pathways:<\/p>\n<ul>\n<li><em>Informational Effect:<\/em> An upward inferential process where higher price signals superior craftsmanship, prestige, reliability, and reduced operational risk (<span class=\"arabpsy-math-inline\" data-latex=\"Price to Perceived Quality\">$Price to Perceived Quality$<\/span>).<\/li>\n<li><em>Allocative Effect:<\/em> A downward utility process where higher price signals an increased loss of purchasing power and heightened perceived sacrifice (<span class=\"arabpsy-math-inline\" data-latex=\"Price to Perceived Monetary Sacrifice\">$Price to Perceived Monetary Sacrifice$<\/span>).<\/li>\n<\/ul>\n<p>Zeithaml&rsquo;s Means-End Model formalized perceived value as the cognitive trade-off between perceived &#8220;give&#8221; (sacrifice) and perceived &#8220;get&#8221; (quality). V\u00f6lckner (2008) addressed a critical psychometric gap in this literature: prior to her validation, many studies measured either price response as a single confounded vector or relied on ad-hoc, unvalidated single-item measures. V\u00f6lckner isolated the allocative dimension into a psychometrically validated, unidimensional subscale.<\/p>\n<h3>3. Behavioral Economics: Prospect Theory and the Pain of Paying<\/h3>\n<p>The scale integrates concepts from <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Prospect Theory<\/a> (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Daniel_Kahneman\" target=\"_blank\" rel=\"noopener noreferrer\">Kahneman<\/a> &amp; <a href=\"https:\/\/en.wikipedia.org\/wiki\/Amos_Tversky\" target=\"_blank\" rel=\"noopener noreferrer\">Tversky<\/a>, 1979) and Mental Accounting (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Richard_Thaler\" target=\"_blank\" rel=\"noopener noreferrer\">Richard Thaler<\/a>, 1985). According to Prospect Theory, losses loom larger than gains due to the S-shaped value function. Price outlays are psychologically experienced as losses relative to an internal reference price. Later neuroeconomic work (e.g., Knutson et al., 2007) identified that excessive prices activate the insular cortex\u2014a brain region linked to physical pain and disgust. The ATP scale measures individual differences in the intensity with which this allocative &#8220;pain of paying&#8221; manifests when evaluating market offerings.<\/p>\n<h2>7. Validity<\/h2>\n<p>The psychometric validity of the ATP scale was rigorously established through empirical investigations conducted across diverse consumer goods categories, spanning fast-moving consumer goods (FMCG) and durable products.<\/p>\n<h3>Construct and Convergent Validity<\/h3>\n<p>Convergent validity was substantiated using structural equation modeling (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Structural_equation_modeling\" target=\"_blank\" rel=\"noopener noreferrer\">SEM<\/a>) and confirmatory factor analysis (CFA). All three items demonstrated high, statistically significant factor loadings on the latent allocative construct (standardized &lambda; values ranging from .78 to .89, all <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>). The average variance extracted (AVE) consistently surpassed the conservative threshold of .50 (frequently exceeding .68), demonstrating that the majority of variance captured by the indicators is shared with the underlying latent construct rather than measurement error.<\/p>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity was established using the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fornell%E2%80%93Larcker_criterion\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell-Larcker criterion<\/a> and pairwise latent factor correlation analysis. V\u00f6lckner (2008) demonstrated that the squared correlation between the Allocative Effects (ATP) dimension and the Informational Effects (price-reliance for quality) dimension was substantially lower than the AVE of each respective latent construct. Further discriminant validity analyses against constructs such as brand consciousness, prestige sensitivity, and general risk aversion confirmed that the ATP scale captures a distinct psychometric space that cannot be subsumed under general price skepticism or risk perceptions.<\/p>\n<h3>Nomological and Predictive Validity<\/h3>\n<p>The nomological validity of the ATP scale has been repeatedly corroborated by evaluating its relationships with downstream behavioral and perceptual variables:<\/p>\n<ul>\n<li><strong>Price Elasticity of Demand:<\/strong> High ATP scores correlate positively with price elasticity coefficients (<span class=\"arabpsy-math-inline\" data-latex=\"r &gt; .45\">$r &gt; .45$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .01\">$p &lt; .01$<\/span>), showing that individuals with elevated allocative attitudes exhibit disproportionately higher demand reductions in response to marginal price hikes.<\/li>\n<li><strong>Willingness to Pay (WTP):<\/strong> Scores on the ATP scale demonstrate strong negative path coefficients to consumers&rsquo; maximum willingness to pay (<span class=\"arabpsy-math-inline\" data-latex=\"\beta\">$\beta$<\/span> coefficients typically between &minus;.30 and &minus;.52), confirming that the allocative construct actively suppresses acquisition valuation.<\/li>\n<li><strong>Promotional Responsiveness:<\/strong> Individuals exhibiting high ATP scores display significantly greater deal-seeking behavior, coupon redemption rates, and propensity to switch to lower-priced private label alternatives.<\/li>\n<\/ul>\n<h2>8. Reliability<\/h2>\n<p>The ATP scale demonstrates exceptional psychometric reliability across disparate experimental conditions, survey modes, and consumer samples.<\/p>\n<h3>Internal Consistency<\/h3>\n<ul>\n<li><strong>Cronbach&rsquo;s Alpha (&alpha;):<\/strong> Across the empirical validation studies reported by V\u00f6lckner (2008) and subsequent replications in consumer pricing research, Cronbach&rsquo;s alpha coefficients for the three-item allocative scale consistently range between .81 and .88, substantially exceeding the conventional psychometric benchmark of .70 recommended by Nunnally and Bernstein (1994).<\/li>\n<li><strong>Composite Reliability (CR):<\/strong> Structural evaluations yield composite reliability coefficients (Dillon-Goldstein&rsquo;s &rho;) typically ranging between .85 and .91, providing robust evidence of indicator shared variance.<\/li>\n<li><strong>Average Variance Extracted (AVE):<\/strong> Reported AVE estimates range from .65 to .75, indicating that the latent construct accounts for over two-thirds of the total variance across its manifest indicators.<\/li>\n<\/ul>\n<h3>Stability and Cross-Category Consistency<\/h3>\n<p>Test-retest evaluations over multi-week intervals demonstrate substantial temporal stability (intra-class correlation coefficients <span class=\"arabpsy-math-inline\" data-latex=\"ICC &gt; .75\">$ICC &gt; .75$<\/span>), indicating that while the scale can be adapted to specific product categories (by substituting the bracketed target category), it also taps into a relatively stable personal trait concerning price sensitivity. Multigroup invariance testing across categories (e.g., consumer electronics, apparel, packaged foods) confirms metric and scalar invariance, enabling cross-category comparative research.<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>The factorial structure of the ATP scale was examined through exploratory factor analysis (EFA) during preliminary item purification and subsequently validated through confirmatory factor analysis (CFA) within a dual-role structural equation model.<\/p>\n<h3>Confirmatory Factor Analysis (CFA) Parameters<\/h3>\n<p>When evaluated as an independent one-factor model or as an orthogonal\/oblique component of a two-factor pricing model (Allocative vs. Informational), the CFA fit indices routinely reflect exceptional model fit:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Comparative Fit Index (CFI):<\/strong> &ge; .98<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Tucker-Lewis Index (TLI):<\/strong> &ge; .97<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> &le; .045 (90% CI [.000, .078])<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> &le; .028<\/span><\/li>\n<li><strong>Chi-Square \/ Degrees of Freedom (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 \/ df\">$\\chi^2 \/ df$<\/span>):<\/strong> Values consistently below 2.5<\/li>\n<\/ul>\n<h3>Standardized Factor Loadings<\/h3>\n<p>The standardized factor loadings (&lambda;) derived from maximum likelihood estimation for the three manifest items typically present the following structural profile:<\/p>\n<ul>\n<li><em>Item 1 (Price as an important purchase criterion):<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda \u0007pprox .78 - .84\">$lambda \u0007pprox .78 &#8211; .84$<\/span> (Standard Error <span class=\"arabpsy-math-inline\" data-latex=\"\u0007pprox .04\">$\u0007pprox .04$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"t &gt; 18.5\">$t &gt; 18.5$<\/span>)<\/li>\n<li><em>Item 2 (Looking at the price first):<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda \u0007pprox .80 - .86\">$lambda \u0007pprox .80 &#8211; .86$<\/span> (Standard Error <span class=\"arabpsy-math-inline\" data-latex=\"\u0007pprox .04\">$\u0007pprox .04$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"t &gt; 19.8\">$t &gt; 19.8$<\/span>)<\/li>\n<li><em>Item 3 (High prices discourage purchase):<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda \u0007pprox .84 - .89\">$lambda \u0007pprox .84 &#8211; .89$<\/span> (Standard Error <span class=\"arabpsy-math-inline\" data-latex=\"\u0007pprox .03\">$\u0007pprox .03$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"t &gt; 21.2\">$t &gt; 21.2$<\/span>)<\/li>\n<\/ul>\n<p>All indicator error variances remain well within acceptable limits with no significant cross-loadings, affirming that the three items converge on a single, well-defined underlying allocative dimension.<\/p>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Instrument Type:<\/strong> Self-administered psychometric questionnaire \/ rating scale.<\/li>\n<li><strong>Construct Measured:<\/strong> Attitude Toward Prices &ndash; Allocative Effects (perception of price as a monetary sacrifice and budget constraint).<\/li>\n<li><strong>Number of Items:<\/strong> 3 items.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> 7-point Likert scale (1 = <em>Strongly disagree<\/em>, 7 = <em>Strongly agree<\/em>)<\/span>.<\/li>\n<li><strong>Target Population:<\/strong> General consumer population, adult purchasing decision-makers (adaptable across varied retail and consumer goods contexts).<\/li>\n<li><strong>Administration Time:<\/strong> Approximately 1 to 2 minutes.<\/li>\n<li><strong>Contextual Adaptability:<\/strong> The bracketed phrase <em>[product category]<\/em> is customized to the specific market offering under study (e.g., &#8220;buying athletic footwear,&#8221; &#8220;buying coffee,&#8221; &#8220;purchasing airline tickets&#8221;).<\/li>\n<li><strong>Scoring Rules:<\/strong>\n<ul>\n<li>No reverse-scored items; all three items are positively oriented toward the allocative construct.<\/li>\n<li>The overall composite score is computed by calculating the arithmetic mean of the three completed items: <span class=\"arabpsy-math-inline\" data-latex=\"ATP Score = \\frac{(Item 1 + Item 2 + Item 3)}{3}\">$ATP Score = \\frac{(Item 1 + Item 2 + Item 3)}{3}$<\/span>.<\/li>\n<li>Composite scores range from 1.00 to 7.00.<\/li>\n<li>Higher scores represent stronger allocative perceptions, characterized by elevated price sensitivity, high perceived financial sacrifice, and a propensity to avoid purchases at high price points. Lower scores reflect price indifference or diminished concern regarding monetary outlay.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>11. Permissions &#038; Fee and Test Year<\/h2>\n<p>The Attitude Toward Prices (Allocative Effects) scale was formulated and published in <strong>2008<\/strong> by Franziska V\u00f6lckner in the <em>Journal of the Academy of Marketing Science<\/em>. Under international academic fair-use conventions, the scale items and structure are available without licensing fees for non-commercial scholarly inquiry, doctoral dissertations, and educational research, provided the foundational publication is cited appropriately. Commercial applications, including proprietary market research platforms and commercial diagnostic screening, require permission from the copyright holder (<a href=\"https:\/\/www.springer.com\" target=\"_blank\" rel=\"noopener noreferrer\">Springer Science+Business Media<\/a> \/ Academy of Marketing Science) or the author.<\/p>\n<h2>12. References<\/h2>\n<ul>\n<li>Kahneman, D., &amp; Tversky, A. (1979). Prospect theory: An analysis of decision under risk. <em>Econometrica<\/em>, 47(2), 263&ndash;291. <a href=\"https:\/\/doi.org\/10.2307\/1914185\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.2307\/1914185<\/a><\/li>\n<li>Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., &amp; Loewenstein, G. (2007). Neural predictors of purchases. <em>Neuron<\/em>, 53(1), 147&ndash;156. <a href=\"https:\/\/doi.org\/10.1016\/j.neuron.2006.11.010\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.neuron.2006.11.010<\/a><\/li>\n<li>Lichtenstein, D. R., Ridgway, N. M., &amp; Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: A field study. <em>Journal of Marketing Research<\/em>, 30(2), 234&ndash;245. <a href=\"https:\/\/doi.org\/10.1177\/002224379303000208\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224379303000208<\/a><\/li>\n<li>Monroe, K. B. (1973). Buyers&rsquo; subjective perceptions of price. <em>Journal of Marketing Research<\/em>, 10(1), 70&ndash;80. <a href=\"https:\/\/doi.org\/10.1177\/002224377301000110\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224377301000110<\/a><\/li>\n<li>Nunnally, J. C., &amp; Bernstein, I. H. (1994). <em>Psychometric theory<\/em> (3rd ed.). McGraw-Hill.<\/li>\n<li>Rao, A. R., &amp; Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers&rsquo; perceptions of product quality: An integrative review. <em>Journal of Marketing Research<\/em>, 26(3), 351&ndash;357. <a href=\"https:\/\/doi.org\/10.1177\/002224378902600309\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378902600309<\/a><\/li>\n<li>Scitovsky, T. (1945). Some consequences of the habit of judging quality by price. <em>The Review of Economic Studies<\/em>, 12(2), 100&ndash;105. <a href=\"https:\/\/doi.org\/10.2307\/2296063\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.2307\/2296063<\/a><\/li>\n<li>Thaler, R. (1985). Mental accounting and consumer choice. <em>Marketing Science<\/em>, 4(3), 199&ndash;214. <a href=\"https:\/\/doi.org\/10.1287\/mksc.4.3.199\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1287\/mksc.4.3.199<\/a><\/li>\n<li>V\u00f6lckner, F. (2008). The dual role of price: Decomposing consumers&rsquo; reactions to price. <em>Journal of the Academy of Marketing Science<\/em>, 36(3), 359&ndash;377. <a href=\"https:\/\/doi.org\/10.1007\/s11747-007-0076-7\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/s11747-007-0076-7<\/a><\/li>\n<li>Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. <em>Journal of Marketing<\/em>, 52(3), 2&ndash;22. <a href=\"https:\/\/doi.org\/10.1177\/002224298805200302\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224298805200302<\/a><\/li>\n<\/ul>\n<h2>13. Items of the Scale<\/h2>\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-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p style=\"margin-top: 18px; margin-bottom: 12px; font-weight: 600; color: #1e293b;\">\n    Response Scale: <span class=\"arabpsy-eq\" dir=\"ltr\">7-point Likert scale (1 = Strongly disagree, 7 = Strongly agree)<\/span>\n  <\/p>\n<ol style=\"line-height: 1.8; color: #334155; padding-left: 24px;\">\n<li style=\"margin-bottom: 10px;\">Price is an important purchase criterion for me when buying [product category].<\/li>\n<li style=\"margin-bottom: 10px;\">I usually look at the price first when buying [product category].<\/li>\n<li style=\"margin-bottom: 10px;\">High prices discourage me from buying [product category].<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive academic analysis of the Attitude Toward Prices (Allocative Effects) (ATP) scale developed by Franziska V\u00f6lckner (2008), measuring consumer perceptions of monetary sacrifice and budget constraints.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2309,2],"tags":[14680,14679,2275,14681,14682,11987,3048,6],"class_list":["post-4236","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-marketing-scales","category-psychometrics","tag-allocative-effects","tag-attitude-toward-prices","tag-consumer-behavior","tag-dual-role-of-price","tag-franziska-volckner","tag-monetary-sacrifice","tag-pricing-strategy","tag-psychometrics"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/4236","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=4236"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/4236\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4236"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4236"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4236"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}