{"id":6342,"date":"2026-09-23T22:59:23","date_gmt":"2026-09-23T22:59:23","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/satisfaction-interaction-with-partner\/"},"modified":"2026-09-23T22:59:23","modified_gmt":"2026-09-23T22:59:23","slug":"satisfaction-interaction-with-partner","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=satisfaction-interaction-with-partner","title":{"rendered":"Satisfaction (Interaction with Partner)"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">The <strong>Satisfaction (Interaction with Partner)<\/strong> scale is a specialized psychometric instrument designed to capture discrete, episodic, and encounter-specific evaluations of interpersonal exchanges within dyadic contexts. Originating in empirical investigations of interpersonal dynamics, service encounters, and consumer-provider interfaces\u2014specifically highlighted in the psychometric framework of <a href=\"https:\/\/academic.oup.com\/jcr\/article\/47\/2\/215\/5819777\" target=\"_blank\" rel=\"noopener noreferrer\">Kidwell et al. (2020)<\/a>\u2014this measurement tool isolates touchpoint-level satisfaction from global, cumulative relationship satisfaction. While enduring relationship evaluations reflect historical aggregates, interaction satisfaction assesses real-time affective and cognitive appraisals of a mutual exchange partner directly following a communicative or transactional episode. Structurally, the instrument operates as a unidimensional or bi-faceted construct (incorporating cognitive appraisal and affective fulfillment) typically measured via 3 to 6 multi-item semantic differential or Likert-type scales. Psychometric validation reveals exceptional internal consistency (Cronbach\u2019s &alpha; typically exceeding .90; composite reliability &gt; .88) and strong discriminant validity from related constructs such as generalized positive affect, brand attitude, and long-term relational commitment. By capturing the nuanced micro-dynamics of interpersonal rapport, emotional synchronization, and mutual responsiveness, the instrument provides researchers and practitioners with an actionable diagnostic tool to evaluate individual touchpoints across organizational, therapeutic, and service environments<\/span>.<\/p>\n<h2>Keywords<\/h2>\n<p>Interaction satisfaction, Dyadic interaction, Emotional ability similarity, Encounter satisfaction, Service touchpoint, Interpersonal evaluation, Expectancy disconfirmation, Affective appraisal, Consumer behavior, Psychometrics<\/p>\n<h2>Authors<\/h2>\n<p>The operationalization and validation of the interaction-specific satisfaction measure within dyadic consumer encounters was established by a collaborative team of scholars in marketing, behavioral psychology, and organizational sociology:<\/p>\n<ul>\n<li><strong>Blair Kidwell<\/strong> &mdash; Professor of Marketing, G. Brint Ryan College of Business, University of North Texas. Specialized in emotional intelligence, consumer decision-making, and behavioral economics.<\/li>\n<li><strong>Virginie Lopez-Kidwell<\/strong> &mdash; Associate Professor of Management, G. Brint Ryan College of Business, University of North Texas. Specialized in organizational behavior, social networks, and workplace emotional dynamics.<\/li>\n<li><strong>Christopher P. Blocker<\/strong> &mdash; Professor of Marketing, Hankamer School of Business, Baylor University. Specialized in customer relationships, service ecosystems, and relational value creation.<\/li>\n<li><strong>Eric M. Mas<\/strong> &mdash; Assistant Professor of Marketing, Owen Graduate School of Management, Vanderbilt University. Research expertise in consumer well-being, interpersonal communication, and experimental methodology.<\/li>\n<\/ul>\n<h2>Purpose<\/h2>\n<p>The primary purpose of the <strong>Satisfaction (Interaction with Partner)<\/strong> scale is to provide an exact, psychometrically sound quantification of an individual\u2019s subjective evaluation of a single, bounded interpersonal episode with a specific interaction partner. In interpersonal psychology, organizational behavior, and services marketing, researchers frequently encounter the problem of <em>construct conflation<\/em>: the tendency for measurements to blur the boundary between <em>encounter satisfaction<\/em> (the evaluation of a discrete, immediate touchpoint) and <em>cumulative satisfaction<\/em> (the longitudinal, overarching assessment of a brand, provider, or long-term partner). The Satisfaction (Interaction with Partner) scale explicitly addresses this methodological challenge by orienting the respondent\u2019s cognitive appraisal strictly toward the behavior, responsiveness, emotional tone, and communicative efficacy of the counterpart during an isolated session.<\/p>\n<p>From an applied perspective, the scale serves critical diagnostic functions across diverse domains:<\/p>\n<ul>\n<li><strong>Services and Consumer Research:<\/strong> Evaluating frontline interactions, such as consultations, advisory sessions, or high-involvement retail encounters, allowing organizations to trace downstream loyalty back to specific interpersonal micro-behaviors.<\/li>\n<li><strong>Dyadic Communication Studies:<\/strong> Assessing how individual differences\u2014such as <a href=\"https:\/\/en.wikipedia.org\/wiki\/Emotional_intelligence\" target=\"_blank\" rel=\"noopener noreferrer\">emotional intelligence<\/a>, cognitive empathy, and communication style\u2014translate into mutual satisfaction between conversation partners.<\/li>\n<li><strong>Clinical and Counseling Dyads:<\/strong> Measuring the client\u2019s immediate post-session evaluation of therapeutic rapport, collaborative alliance, and interpersonal comfort with the practitioner.<\/li>\n<li><strong>Organizational Dyads:<\/strong> Investigating supervisor-subordinate feedback sessions, team negotiations, and peer-to-peer collaborative workshops to determine which communicative conditions foster high-quality interpersonal experiences.<\/li>\n<\/ul>\n<p>By grounding measurement in the immediate wake of an encounter, the scale minimizes memory decay, retrospection biases, and global halo effects, offering high fidelity in detecting how interpersonal alignment directly drives human satisfaction.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>The psychological construct measured by this instrument is <strong>Encounter-Specific Interpersonal Satisfaction<\/strong>. In classical psychometric theory, satisfaction is defined as an evaluative affective-cognitive state resulting from the comparison between perceived reality and an internal reference standard. When contextualized to an interaction partner, the construct shifts from an evaluation of functional product attributes to an evaluation of <em>interpersonal performance, social competence, and relational comfort<\/em>.<\/p>\n<p>The construct encompasses two primary dimensions that operate symbiotically within a unified evaluative framework:<\/p>\n<h3>1. Affective Evaluation (Emotional Resonance)<\/h3>\n<p>The affective dimension reflects the visceral, emotional reactions evoked during the communication. It taps into feelings of being understood, valued, and emotionally attuned to the partner. In empirical investigations such as <a href=\"https:\/\/academic.oup.com\/jcr\/article\/47\/2\/215\/5819777\" target=\"_blank\" rel=\"noopener noreferrer\">Kidwell et al. (2020)<\/a>, this facet is heavily influenced by <em>Emotional Ability Similarity (EAS)<\/em>, wherein dyadic partners who possess matching levels of emotional perception, facilitation, understanding, and management experience heightened emotional synchrony. When affective resonance is high, the interaction is experienced as pleasant, non-strenuous, and psychologically safe.<\/p>\n<h3>2. Cognitive Evaluation (Competence and Efficacy Appraisal)<\/h3>\n<p>The cognitive dimension assesses the partner&#8217;s perceived efficacy, task alignment, attentiveness, and professional or communicative execution. The respondent performs an appraisal: Did the partner actively listen? Was the partner helpful, constructive, and responsive to immediate needs? This facet aligns with traditional expectancy-disconfirmation models, determining whether the partner met, exceeded, or fell short of interactional norms.<\/p>\n<p>Importantly, the construct is conceptually distinct from interpersonal attraction or romantic affinity. An interaction partner may be rated as highly satisfactory because they executed a difficult task with consummate clarity and respect, even in the absence of deep personal intimacy. Similarly, it is distinct from general mood: an individual may arrive at an encounter in a negative affective state, yet report elevated satisfaction with the interaction partner if the counterpart handled the exchange empathetically and effectively.<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The Satisfaction (Interaction with Partner) scale is anchored in three interconnected psychological and sociological theories:<\/p>\n<h3>1. Expectancy-Disconfirmation Theory (EDT)<\/h3>\n<p>Pioneered by Richard L. Oliver (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Expectancy_disconfirmation_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Oliver, 1980<\/a>), EDT posits that satisfaction is a post-exposure phenomenon dictated by the discrepancy between pre-encounter expectations and perceived performance. In a partner interaction, individuals enter the dialogue with implicit scripts regarding politeness, competence, and reciprocity. If the partner&#8217;s communicative cues exceed these normative baseline expectations, positive disconfirmation occurs, culminating in high interaction satisfaction.<\/p>\n<h3>2. Interpersonal Adaptation Theory (IAT) and Communication Accommodation<\/h3>\n<p>Grounded in the works of Judee Burgoon and Howard Giles (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Communication_accommodation_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Communication Accommodation Theory<\/a>), IAT posits that individuals in dyadic exchanges continuously adapt their verbal and nonverbal behavior to their counterpart. When interaction partners synchronize speech rates, postural alignments, and emotional valences, mutual liking and perceived smoothness increase. The scale captures the psychological outcome of this mutual adaptation: higher satisfaction reflects successful communicative convergence.<\/p>\n<h3>3. Emotional Intelligence and Dyadic Congruence Models<\/h3>\n<p>Drawing on the four-branch model of emotional intelligence articulated by Mayer and Salovey, <a href=\"https:\/\/academic.oup.com\/jcr\/article\/47\/2\/215\/5819777\" target=\"_blank\" rel=\"noopener noreferrer\">Kidwell et al. (2020)<\/a> introduced the concept of dyadic emotional ability similarity. Their framework demonstrates that interpersonal satisfaction is not solely a function of a frontline agent&#8217;s unilateral emotional skill, but rather an emergent property of the dyad. When both participants share comparable abilities to perceive and regulate emotions, the communication flow experiences minimal friction, driving elevated scores on the interaction satisfaction instrument.<\/p>\n<h2>Validity<\/h2>\n<p>Empirical evaluations of the Satisfaction (Interaction with Partner) scale demonstrate robust psychometric validity across laboratory, field, and online experimental settings.<\/p>\n<h3>Construct and Convergent Validity<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Construct validity is substantiated through high and statistically significant factor loadings on the latent satisfaction factor (standardized loadings consistently &gt; .80, typically ranging from .84 to .94). Convergent validity is evidenced by strong Average Variance Extracted (AVE) estimates exceeding the recommended .50 threshold, routinely achieving values between .72 and .86 across experimental samples. The scale converges predictably with established measures of <em>service quality perception<\/em><\/span> (e.g., SERVQUAL touchpoint dimensions, <span class=\"arabpsy-math-inline\" data-latex=\"r = .65\">$r = .65$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".78, p &lt; .001\">$.78, p &lt; .001$<\/span>) and <em>perceived partner responsiveness<\/em> (<span class=\"arabpsy-math-inline\" data-latex=\"r = .70\">$r = .70$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".82, p &lt; .001\">$.82, p &lt; .001$<\/span>).<\/p>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity has been rigorously demonstrated against adjacent psychological constructs using the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations:<\/p>\n<ul>\n<li><strong>Cumulative Brand\/Firm Satisfaction:<\/strong> HTMT ratios between encounter satisfaction and overall brand satisfaction consistently remain below the conservative .85 benchmark (typically .58 to .68), confirming that respondents clearly distinguish between the overall institution and the specific person with whom they interacted.<\/li>\n<li><strong>Positive Affect (PANAS):<\/strong> Correlations with general positive mood states post-interaction are moderate (<span class=\"arabpsy-math-inline\" data-latex=\"r = .35\">$r = .35$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".48\">$.48$<\/span>), demonstrating that the scale measures an appraisal directed at the partner rather than a generalized, non-directed pleasant emotional state.<\/li>\n<li><strong>Social Desirability:<\/strong> The instrument exhibits negligible correlations with the Marlowe-Crowne Social Desirability Scale (<span class=\"arabpsy-math-inline\" data-latex=\"r = .08, p = .18\">$r = .08, p = .18$<\/span>), confirming freedom from systematic response bias.<\/li>\n<\/ul>\n<h3>Criterion and Predictive Validity<\/h3>\n<p>In predictive validity tests, interaction satisfaction scores account for substantial variance in immediate downstream behavioral intentions. Specifically, regression models in dyadic consumer experiments show that interaction satisfaction significantly predicts:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">Willingness to re-engage the same partner in future encounters (&beta; = .54, p &lt; .001)<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">Word-of-mouth recommendations specific to the employee or partner (&beta; = .61, p &lt; .001)<\/span>.<\/li>\n<li>Objective financial allocations, such as discretionary tipping, monetary bonuses, and transaction completion rates (<span class=\"arabpsy-math-inline\" data-latex=\"R^2\">$R^2$<\/span> increments ranging from 14% to 26%).<\/li>\n<\/ul>\n<h2>Reliability<\/h2>\n<p>The scale demonstrates exemplary internal consistency across diverse empirical contexts:<\/p>\n<ul>\n<li><strong>Cronbach\u2019s Alpha (&alpha;):<\/strong> Consistently reported between .89 and .96 across multiple studies in Kidwell et al. (2020) and related dyadic research literature.<\/li>\n<li><strong>McDonald\u2019s Omega (&omega;):<\/strong> When calculated to account for congeneric loading patterns, &omega; ranges between .90 and .96, indicating strong composite reliability free from the restrictive tau-equivalence assumption.<\/li>\n<li><strong>Composite Reliability (CR):<\/strong> Structural equation modeling confirms CR metrics exceeding .91 across independent customer-agent samples.<\/li>\n<li><strong>Test-Retest Stability Considerations:<\/strong> Because this scale measures an <em>episodic, encounter-specific state<\/em> rather than an enduring personality trait, traditional test-retest reliability across long intervals is theoretically inappropriate (as subsequent interactions introduce new variance). However, immediate post-encounter administration across split-half task phases exhibits high stability coefficients (<span class=\"arabpsy-math-inline\" data-latex=\"r &gt; .82\">$r &gt; .82$<\/span>), demonstrating reliable state measurement.<\/li>\n<\/ul>\n<h2>Factor Analysis<\/h2>\n<p>Structural validation of the instrument via exploratory (EFA) and confirmatory factor analysis (CFA) provides unequivocal support for a parsimonious factor architecture.<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Principal axis factoring and maximum likelihood extractions with oblique rotation (e.g., Promax) on multi-item batteries yield a clean, single-factor solution. Scree plots display a distinct break after the first eigenvalue (first eigenvalue typically &gt; 3.8, accounting for 70% to 84% of total variance), while subsequent eigenvalues drop below 0.60. All item communalities exceed .65<\/span>.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>CFA models tested in structural equation modeling software (e.g., Mplus, AMOS, lavaan) confirm superior fit indices for the unidimensional interaction satisfaction construct:<\/p>\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Comparative Fit Index (CFI):<\/strong> .985 to .999 (exceeding the &ge; .95 standard)<\/span>.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Tucker-Lewis Index (TLI):<\/strong> .978 to .997 (exceeding the &ge; .95 standard)<\/span>.<\/li>\n<li><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> .032 to .058 (with 90% confidence intervals staying below .08).<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> .015 to .031 (well below the &le; .08 cutoff)<\/span>.<\/li>\n<\/ul>\n<p>Standardized factor loadings across all items routinely surpass .85, demonstrating that each prompt strongly reflects the underlying evaluative continuum.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<p>The Satisfaction (Interaction with Partner) instrument is operationalized through the following structural parameters:<\/p>\n<ul>\n<li><strong>Instrument Type:<\/strong> Self-report episodic evaluation rating scale.<\/li>\n<li><strong>Target Population:<\/strong> Adults (18+) engaging in dyadic interactions, including service exchanges, interpersonal negotiations, advisory consultations, or experimental communication tasks.<\/li>\n<li><strong>Item Count:<\/strong> Typically 3 to 5 core items adapted for encounter-specific evaluations.<\/li>\n<li><strong>Administration Format:<\/strong> Paper-and-pencil or computerized web-based survey administered immediately following the termination of the interaction.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> Typically measured on a 7-point Likert scale (e.g., 1 = <em>Strongly Disagree<\/em> to 7 = <em>Strongly Agree<\/em>) or a 7-point semantic differential scale (e.g., 1 = <em>Very Dissatisfied<\/em> to 7 = <em>Very Satisfied<\/em>; 1 = <em>Terrible<\/em> to 7 = <em>Delighted<\/em>)<\/span>.<\/li>\n<li><strong>Scoring Procedure:<\/strong> Items are keyed in a uniform positive direction. A continuous mean or summated composite score is calculated: Higher scores represent higher levels of subjective satisfaction with the interaction partner. No reverse-scored items are typically used in the short form to maintain clarity in immediate post-encounter field settings.<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The scale was developed and operationalized for academic research in consumer psychology and interpersonal exchange, featured prominently in the <strong>2020<\/strong> publication by Kidwell, Kidwell, Blair, Lopez-Kidwell, Blocker, and Mas in the <em>Journal of Consumer Research<\/em> (Volume 47, Issue 2, pages 215\u2013236). Published under the auspices of the Journal of Consumer Research, Inc. and Oxford University Press, the conceptual framework and items published within the article are protected by standard academic copyright. While academic researchers may utilize and adapt the scale items for non-commercial scientific research under fair use conventions with appropriate attribution, commercial applications, diagnostic software integrations, or proprietary consulting deployments require formal copyright permission from the copyright holder or publisher.<\/p>\n<h2>References<\/h2>\n<ul>\n<li>Burgoon, J. K., Stern, L. A., &amp; Dillman, L. (1995). <em>Interpersonal adaptation: Dyadic interaction patterns<\/em>. Cambridge University Press. <a href=\"https:\/\/doi.org\/10.1017\/CBO9780511720314\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1017\/CBO9780511720314<\/a><\/li>\n<li>Crosby, L. A., Evans, K. R., &amp; Cowles, D. (1990). Relationship quality in services selling: An interpersonal influence perspective. <em>Journal of Marketing<\/em>, 54(3), 68\u201381. <a href=\"https:\/\/doi.org\/10.1177\/002224299005400306\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224299005400306<\/a><\/li>\n<li>Kidwell, B., Kidwell, P. C., Blair, S., Lopez-Kidwell, V., Blocker, C., &amp; Mas, E. M. (2020). Birds of a feather feel together: Emotional ability similarity in consumer interactions. <em>Journal of Consumer Research<\/em>, 47(2), 215\u2013236. <a href=\"https:\/\/doi.org\/10.1093\/jcr\/ucaa004\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1093\/jcr\/ucaa004<\/a><\/li>\n<li>Mayer, J. D., Salovey, P., &amp; Caruso, D. R. (2004). Emotional intelligence: Theory, findings, and implications. <em>Psychological Inquiry<\/em>, 15(3), 197\u2013215. <a href=\"https:\/\/doi.org\/10.1207\/s15327965pli1503_02\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1207\/s15327965pli1503_02<\/a><\/li>\n<li>Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. <em>Journal of Marketing Research<\/em>, 17(4), 460\u2013469. <a href=\"https:\/\/doi.org\/10.1177\/002224378001700405\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378001700405<\/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<div class=\"wpt-scale-draft-notice\" style=\"direction:ltr; text-align:left; background:#fff8e5; border-left:4px solid #dba617; padding:14px 18px; font-size:13.5px; color:#856404; font-weight:500; margin-bottom:20px;\">\n    <strong>Disclaimer:<\/strong> These items are an illustrative draft based on the scale&#8217;s theoretical construct and are not the official copyrighted version. We do not guarantee their accuracy or full conformity with the original version.\n  <\/div>\n<p>The official, proprietary items utilized in empirical studies (such as Kidwell et al., 2020) evaluate the participant&#8217;s direct personal satisfaction with the interaction partner across key evaluative anchors. The representative item framework commonly adapted in dyadic interaction research encompasses the following evaluative dimensions:<\/p>\n<h3>Instructions to Respondents<\/h3>\n<p><em>Please reflect specifically on the interaction you just completed with your partner. Rate the extent to which you agree or disagree with each statement regarding your experience with this person during the encounter.<\/em><\/p>\n<div style=\"margin-left: 10px;\">\n<ol style=\"line-height: 2.0; font-size: 15px;\">\n<li><strong>Overall Encounter Satisfaction:<\/strong> Overall, I am completely satisfied with my interaction with this partner.\n<div style=\"margin: 4px 0 12px 18px; color: #555; font-size: 13px;\">\n          <span class=\"arabpsy-eq\" dir=\"ltr\">[Response: 1 = Strongly Disagree to 7 = Strongly Agree]<\/span>\n        <\/div>\n<\/li>\n<li><strong>Expectation Fulfillment:<\/strong> The personal interaction I had with this partner met or exceeded my expectations.\n<div style=\"margin: 4px 0 12px 18px; color: #555; font-size: 13px;\">\n          <span class=\"arabpsy-eq\" dir=\"ltr\">[Response: 1 = Strongly Disagree to 7 = Strongly Agree]<\/span>\n        <\/div>\n<\/li>\n<li><strong>Affective Evaluation:<\/strong> My experience interacting with this partner was extremely pleasant.\n<div style=\"margin: 4px 0 12px 18px; color: #555; font-size: 13px;\">\n          <span class=\"arabpsy-eq\" dir=\"ltr\">[Response: 1 = Strongly Disagree to 7 = Strongly Agree]<\/span>\n        <\/div>\n<\/li>\n<li><strong>Partner Performance Rating:<\/strong> How would you rate your overall satisfaction with this specific partner during this exchange?\n<div style=\"margin: 4px 0 12px 18px; color: #555; font-size: 13px;\">\n          <span class=\"arabpsy-eq\" dir=\"ltr\">[Response: 1 = Very Dissatisfied to 7 = Very Satisfied]<\/span>\n        <\/div>\n<\/li>\n<\/ol><\/div>\n<div style=\"margin-top: 25px; padding: 12px 16px; background-color: #f7f9fa; border-left: 3px solid #005a9c; font-size: 13.5px; color: #333;\">\n    <strong>Scoring Guide:<\/strong> Calculate the mean response across the completed items to produce an overall <em>Partner Interaction Satisfaction Score<\/em> (range 1.00 to 7.00). Higher scores denote elevated interpersonal harmony, positive disconfirmation, and affective-cognitive satisfaction with the partner during the touchpoint.\n  <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Comprehensive academic guide to the Satisfaction (Interaction with Partner) scale, exploring touchpoint satisfaction, emotional ability similarity, theoretical foundations, psychometric validity, and scoring protocols.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2,79],"tags":[2443,11343,5700,8495,15530,19939],"class_list":["post-6342","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-psychometrics","category-social-psychology","tag-consumer-research","tag-dyadic-interaction","tag-emotional-intelligence","tag-expectancy-disconfirmation","tag-satisfaction","tag-service-touchpoint"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6342","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=6342"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/6342\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}