The Attitude Toward Shopping Websites (Community) Scale (ATSW-C)<\/strong>, also conceptually designated in psychometric and marketing literature as the Connectedness Scale<\/em>, is a three-item unidimensional self-report measurement instrument formulated to evaluate the subjective value, preference, and psychological importance that consumers assign to social and community-oriented functionalities within electronic retail (e-retail) environments. Introduced by Susan Rose<\/a>, Moira Clark, Phillip Samouel, and Neil Hair (2012) within their seminal structural framework of the Online Customer Experience (OCE), the scale specifically measures a shopper’s desire to interact with like-minded peers, exchange authentic product experiences, and utilize consumer-generated product recommendations during online browsing and transactional journeys. Administered using a standard 7-point Likert scale<\/a> ranging from 1 (Strongly disagree<\/em>) to 7 (Strongly agree<\/em>), the instrument isolates the interpersonal, social dimension of online shopping environments from purely functional usability, information architecture, navigation efficiency, or automated algorithmic personalization. Psychometric assessment conducted on consumer samples across North America and Europe demonstrated excellent internal consistency reliability (Cronbach’s α ≥ .85; Composite Reliability > .80), robust convergent validity with average variance extracted exceeding empirical thresholds, and unequivocal discriminant validity when modeled alongside cognitive and affective customer experience constructs. The ATSW-C provides digital marketing strategists, human-computer interaction (HCI) researchers, and consumer psychologists with a parsimonious, statistically sound diagnostic tool for assessing virtual community orientation and peer-to-peer social dynamics in contemporary electronic commerce<\/span>.<\/p>\n Attitude Toward Shopping Websites, ATSW-C, Online Customer Experience, Connectedness, E-retail Community, Social Commerce, Electronic Word-of-Mouth, Virtual Brand Communities, Consumer Psychology, Psychometrics<\/p>\n The scale was developed and empirically validated by an international research team specializing in customer relationship management, digital marketing, and psychometric structural equation modeling:<\/p>\n The primary purpose of the Attitude Toward Shopping Websites (Community) Scale (ATSW-C) is to isolate and quantify the psychological construct of connectedness<\/em>—defined as the extent to which an individual consumer values interpersonal interaction, collective knowledge pooling, and virtual communal exchange within a commercial shopping website. During the maturation of business-to-consumer (B2C) e-commerce, conventional human-computer interaction and marketing paradigms predominantly conceptualized websites through an instrumental or utilitarian lens, focusing on ease of use, task completion speed, site security, and catalog searchability. While functional attributes remain foundational, the emergence of social commerce necessitated psychometric tools capable of capturing the experiential, relational, and social antecedents of digital consumer behaviors.<\/p>\n Rose et al. (2012) designed the ATSW-C to address an essential theoretical gap: determining how consumer evaluations of a website’s social architecture influence their cognitive states (such as flow, perceived control, and cognitive engagement) and affective states (including positive affect, emotional bonding, and aesthetic pleasure). The operationalization of this measure allows researchers to determine whether online shoppers approach an interface as an isolated utilitarian tool or as a vibrant, interactive virtual community<\/a>. In both basic and applied marketing research, the instrument answers pivotal questions regarding who values peer-generated discourse over proprietary brand messaging and how community affordances mitigate perceived risk in digital purchasing environments.<\/p>\n From an applied industry perspective, the ATSW-C serves user experience (UX) researchers, retail analysts, and digital platform architects who need to benchmark customer attitudes before and after launching social features, such as consumer review boards, synchronous community chat, social curation, and peer-to-peer discussion threads. Furthermore, in clinical and behavioral research examining digital socialization, compulsive online buying, or digital isolation, the scale offers an effective screening metric for investigating how individuals substitute physical social interactions with virtual consumer tribes.<\/p>\n The psychological construct captured by the ATSW-C is Perceived Website Connectedness<\/strong> or Community Orientation in E-Retailing<\/strong>. This unidimensional construct reflects a consumer’s intrinsic and extrinsic motivation to affiliate with other shoppers via a technological platform. In the context of online consumer behavior, community orientation represents a convergence of three distinct social-behavioral facets:<\/p>\n The first facet taps the social belonging and homophily needs of the user. Online consumers often seek out peers who share their consumption tastes, aesthetic standards, lifestyle identities, or technical expertise. Interacting with like-minded shoppers provides social proof, validation of purchasing intentions, and an emotional sense of kinship. This dimension reflects an active social orientation rather than passive information intake, measuring the psychological drive to engage with real peers rather than artificial system prompts.<\/p>\n The second facet embodies electronic word-of-mouth (eWOM<\/a>) and reciprocal exchange. Highly connected consumers are not solely passive consumers of data; they demonstrate a willingness and desire to contribute their own experiential knowledge, product evaluations, and post-purchase insights back into the collective ecosystem. This behavior is rooted in generalized reciprocity and consumer citizenship behavior, wherein individuals derive self-efficacy and psychological satisfaction from helping future shoppers make informed decisions.<\/p>\n The third facet measures epistemic trust in decentralized, consumer-driven product evaluations. Consumers who score high on connectedness perceive peer evaluations as more credible, unbiased, and authentic than institutional marketing claims or algorithmic product rankings. This reflects an informational reliance on the collective intelligence of the user base, wherein crowd-sourced feedback significantly guides cognitive appraisal and reduces purchase ambiguity.<\/p>\n Together, these facets form an integrated construct distinct from general web usability, visual aesthetics, or mechanical interactivity. It measures an inherently human-to-human connection mediated through a commercial website interface.<\/p>\n The Attitude Toward Shopping Websites (Community) Scale is grounded in a synthesis of psychological and sociological theories, predominantly Social Exchange Theory<\/a>, Social Identity Theory<\/a>, and the Stimulus-Organism-Response (S-O-R) paradigm of environmental psychology.<\/p>\n Rooted in the work of George Homans (1958) and Peter Blau (1964), Social Exchange Theory posits that human interactions are transactional, transactional exchanges where individuals seek to maximize informational and psychological rewards while minimizing cognitive and temporal costs. Within virtual shopping environments, the ATSW-C operationalizes exchange dynamics: consumers contribute reviews and ratings in exchange for social validation, status, and the reciprocal benefit of accessing reliable recommendations deposited by other community participants.<\/p>\n Drawing on Henri Tajfel and John Turner’s Social Identity Theory, individuals categorize themselves into social groups to enhance self-concept. In e-retailing, this manifests as identifying with a “brand community” or a “consumption subculture” (Muniz & O’Guinn, 2001). When an e-retailer integrates community features, it ceases to be an impersonal catalog and evolves into a shared digital space where shared group membership, shared rituals, and a sense of moral responsibility toward other members develop.<\/p>\n Rose et al. (2012) adopted the classical S-O-R framework formulated by Mehrabian and Russell (1974). In this model:<\/p>\n Within this causal sequence, the ATSW-C measures the customer’s cognitive-evaluative perception of the “connectedness” stimulus, which functions as an antecedent fueling the psychological organism’s cognitive and affective absorption during the online shopping encounter.<\/p>\n The psychometric validity of the ATSW-C was evaluated by Rose et al. (2012) utilizing a cross-sectional web survey across diverse consumer cohorts in the United States and Europe ($N = 220$<\/span>). Construct, convergent, and discriminant validities were confirmed through rigorous structural equation modeling (SEM) protocols.<\/p>\n Convergent validity was established in accordance with the classical benchmark criteria delineated by Fornell and Larcker (1981)<\/a> and Bagozzi and Yi (1988). All three scale items loaded substantially and significantly on their hypothesized latent factor. Standardized factor loadings (λ) for the items ranged between .78 and .89 ($p < .001$<\/span>), demonstrating that the latent variable accounts for the vast majority of variance in each individual indicator. The Average Variance Extracted (AVE) for the connectedness dimension comfortably surpassed the recommended .50 threshold, establishing that variance explained by the underlying construct is substantially larger than variance attributable to measurement error.<\/p>\n To demonstrate that connectedness represents a unique psychological entity rather than a redundant artifact of general website favorability, Rose et al. tested discriminant validity against seven other latent constructs within their comprehensive antecedent framework: Information Quality<\/em>, Interactive Speed<\/em>, Customization<\/em>, Website Usability<\/em>, Cognitive State<\/em>, Affective State<\/em>, and Customer Experience (OCE)<\/em>. In all paired comparisons:<\/p>\n Nomological validity was verified by incorporating the scale into a comprehensive structural equation model. Perceived website connectedness demonstrated statistically significant direct structural paths to shoppers’ affective states (β = .18<\/span>, $p < .05$<\/span>) and indirect paths to ultimate outcome variables including customer satisfaction and repurchase intention, confirming its hypothesized role within the broader nomological network of consumer digital psychology.<\/p>\n The reliability of the ATSW-C has been consistently documented across psychometric assessments in e-commerce literature:<\/p>\n Although test-retest reliability across extended temporal intervals was not reported in the cross-sectional 2012 study, subsequent longitudinal studies in digital marketing environments indicate that community attitudes remain stable in the absence of major interface redesigns or severe community disruptions.<\/p>\n Both exploratory and confirmatory factor analytic approaches have confirmed the unidimensional structure of the three-item instrument.<\/p>\n A full measurement model was estimated using maximum likelihood estimation in structural equation modeling software. The three community items loaded onto a single first-order latent factor labeled Connectedness<\/em>. Factor loadings and error variances were as follows:<\/p>\n When evaluated within the overall antecedent measurement model, the global goodness-of-fit indices demonstrated an exceptional fit to the empirical data:<\/p>\n Modification indices revealed no significant cross-loadings with usability or customization factors, establishing the structural parsimony of the scale.<\/p>\n The operational specifications of the Attitude Toward Shopping Websites (Community) Scale are organized as follows:<\/p>\n Overall Connectedness Score = (Item 1 + Item 2 + Item 3) \/ 3<\/span><\/p>\n The scale was developed and published in 2012<\/strong> in the Journal of Retailing<\/em> by authors Susan Rose, Moira Clark, Phillip Samouel, and Neil Hair. The article is copyrighted by New York University and published by Elsevier Inc.<\/a><\/p>\n Under academic fair-use guidelines, the scale items may be utilized without financial charge for non-commercial academic research, pedagogical purposes, thesis dissertations, and scientific investigations, provided appropriate scholarly attribution is cited. Commercial applications, widespread redistribution, or inclusion in proprietary software packages may require formal copyright clearance and licensing permissions obtained through Elsevier’s RightsLink service or directly through the corresponding authors.<\/p>\n \n Response Scale: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree)<\/span>\n <\/p>\n Comprehensive academic overview of the Attitude Toward Shopping Websites (Community) Scale (ATSW-C) \/ Connectedness Scale developed by Rose et al. (2012). Includes theoretical foundation, validity, reliability, factor analysis, and scale items.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2309,2],"tags":[19178,14365,2275,19179,11005,6,2749,12036],"class_list":["post-6001","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-marketing-scales","category-psychometrics","tag-atsw-c","tag-connectedness","tag-consumer-behavior","tag-e-retailing","tag-online-customer-experience","tag-psychometrics","tag-social-commerce","tag-virtual-communities"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6001","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=6001"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6001\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6001"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6001"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Keywords<\/h2>\n
Authors<\/h2>\n
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Purpose<\/h2>\n
Psychological Construct<\/h2>\n
1. Interactive Desire with Like-Minded Shoppers<\/h3>\n
2. Altruistic and Reciprocal Experience Sharing<\/h3>\n
3. Perceived Utility and Trust in Peer Recommendations<\/h3>\n
Theoretical Framework<\/h2>\n
Social Exchange Theory and Reciprocity<\/h3>\n
Social Identity and Virtual Communities<\/h3>\n
The Stimulus-Organism-Response (S-O-R) Model<\/h3>\n
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Validity<\/h2>\n
Construct and Convergent Validity<\/h3>\n
Discriminant Validity<\/h3>\n
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Nomological and Predictive Validity<\/h3>\n
Reliability<\/h2>\n
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Factor Analysis<\/h2>\n
Confirmatory Factor Analysis (CFA)<\/h3>\n
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Model Fit Indices<\/h3>\n
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Instrument \/ Measurement Tool<\/h2>\n
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Permissions & Fee and Test Year<\/h2>\n
References<\/h2>\n
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Items of the Scale<\/h2>\n
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