{"id":3277,"date":"2026-09-16T06:41:28","date_gmt":"2026-09-16T06:41:28","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/television-program-global-attitude-tpga\/"},"modified":"2026-09-16T06:41:28","modified_gmt":"2026-09-16T06:41:28","slug":"television-program-global-attitude-tpga","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=television-program-global-attitude-tpga","title":{"rendered":"Television Program Global Attitude (TPGA)"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p>The <strong>Television Program Global Attitude (TPGA)<\/strong> scale is a concise psychometric instrument developed by Cristel Antonia Russell (2002) to assess an individual\u2019s overall evaluative disposition toward a television program episode or broadcast segment. Rooted in consumer behavior, communication theory, and media psychology, the instrument captures the global affective and evaluative valence that a viewer forms immediately following exposure to audiovisual programming. Structurally, the TPGA operationalizes attitude as a unidimensional latent construct measured via three 7-point semantic differential bipolar items (e.g., bad\/good, unfavorable\/favorable, disliked\/liked). Despite its brevity, the instrument exhibits robust psychometric properties across experimental and field settings, demonstrating high internal consistency (Cronbach\u2019s alpha coefficients routinely exceeding .90) and strong construct validity. The scale was primarily designed to serve as an essential statistical covariate or control variable in experimental paradigms evaluating <a href=\"https:\/\/en.wikipedia.org\/wiki\/Product_placement\" target=\"_blank\" rel=\"noopener noreferrer\">product placement<\/a>, brand recall, embedded marketing efficacy, and context-induced media effects. By isolating viewers&#8217; baseline sentiment toward the carrier programming, researchers can effectively control for <a href=\"https:\/\/en.wikipedia.org\/wiki\/Halo_effect\" target=\"_blank\" rel=\"noopener noreferrer\">halo effects<\/a>, affect transfer, and mood congruency biases that would otherwise confound evaluations of focal embedded stimuli, such as sponsored brands or programmatic advertisements. This article provides an exhaustive psychometric overview of the TPGA, tracing its theoretical foundations, structural and factorial properties, validity and reliability benchmarks, and administrative protocols.<\/p>\n<h2>2. Keywords<\/h2>\n<p>Television Program Global Attitude, TPGA, Cristel Antonia Russell, media psychology, product placement, program liking, semantic differential, attitude toward the show, context effects, affect transfer, media evaluation, consumer research, unidimensional scale.<\/p>\n<h2>3. Authors<\/h2>\n<p>The Television Program Global Attitude scale was introduced by <strong>Cristel Antonia Russell<\/strong> in her landmark 2002 investigation into the cognitive and affective mechanisms governing product placements in television programming. Russell is a distinguished scholar in consumer psychology, marketing communications, and behavioral science, holding academic appointments including Professor of Marketing at the Graziadio Business School at Pepperdine University and prior faculty positions at Western Michigan University and San Diego State University. Her empirical work focuses on narrative persuasion, brand placement dynamics, the intersection of entertainment media with health communications, and consumer-media relationships.<\/p>\n<h2>4. Purpose<\/h2>\n<p>The primary purpose of the Television Program Global Attitude (TPGA) scale is to capture an individual\u2019s global, valence-driven evaluation of a television show immediately following consumption. In empirical media research and experimental consumer psychology, the media vehicle carrying an advertisement or commercial placement is never a neutral conduit. Rather, the emotional tone, perceived quality, and subjective enjoyment derived from the carrier program systematically spill over into viewer evaluations of embedded commercial entities. Consequently, the TPGA was engineered to serve two interrelated empirical objectives: operationalizing program evaluation as an explicit independent\/moderating variable, and providing a standardized, parsimonious covariate to control for extraneous variance in context-effects research.<\/p>\n<p>In product placement research, investigators frequently manipulate placement modality (e.g., purely visual background presence versus explicit auditory mentions) and plot connection (e.g., whether the branded item is peripheral or intrinsically woven into the storyline). However, a viewer\u2019s underlying affinity or distaste for the underlying television program creates powerful halo effects. A viewer who thoroughly enjoys an episode of a sitcom or drama exhibits heightened cognitive receptivity, positive mood state, and increased tolerance for commercial integration. Conversely, a viewer who evaluates the program unfavorably may experience psychological reactance, attributing negative feelings directly to the placed brands. Administering the TPGA allows researchers to statistically partial out the main and interaction effects of baseline program liking, ensuring that observed variations in brand attitude (<span class=\"arabpsy-math-inline\" data-latex=\"A_{brand}\">$A_{brand}$<\/span>), brand recall, or purchase intentions are genuinely attributable to the experimental placement manipulations rather than preexisting or newly formed attitudes toward the broadcast medium itself.<\/p>\n<p>Beyond academic laboratory experiments, the TPGA has significant applied utility in media planning, television audience analytics, and advertising research. Broadcast networks, streaming platforms (e.g., Netflix, Hulu, Amazon Prime Video), and commercial sponsors utilize the metric to gauge immediate viewer response to pilot episodes, narrative arcs, and syndicated broadcasts. Because the tool consists of only three semantic differential items, it minimizes respondent burden and cognitive fatigue in lengthy multi-item survey batteries, making it exceptionally well suited for high-throughput online panel studies, post-viewing exit evaluations, and longitudinal tracking studies.<\/p>\n<h2>5. Psychological Construct<\/h2>\n<p>The psychological construct assessed by the TPGA is <strong>attitude toward the program<\/strong> (<span class=\"arabpsy-math-inline\" data-latex=\"A_{prog}\">$A_{prog}$<\/span>), defined within contemporary social and consumer psychology as a summary evaluative judgment of a specific media object along a continuum ranging from negative to positive valence. Drawing from foundational attitudinal paradigms established by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Martin_Fishbein\" target=\"_blank\" rel=\"noopener noreferrer\">Fishbein and Ajzen<\/a>, attitude is conceptualized as an overall affective-evaluative orientation that integrates cognitive beliefs, emotional reactions, and subjective appraisals regarding the target stimulus.<\/p>\n<p>In media contexts, an individual&#8217;s evaluation of a television program can be differentiated into multi-tiered psychological dimensions:<\/p>\n<ul>\n<li><strong>Hedonic and Affective Evaluation:<\/strong> The immediate degree of pleasure, enjoyment, entertainment, or intrinsic gratification experienced during viewing. This emotional resonance is reflected in experiential appraisals such as program liking versus disliking.<\/li>\n<li><strong>Cognitive Appraisal of Quality:<\/strong> The rational assessment of the program\u2019s structural, narrative, aesthetic, and production values. Viewers mentally process the quality of acting, script coherence, cinematography, and dialogue, yielding an evaluation anchored on standards of excellence (e.g., &#8220;good&#8221; versus &#8220;bad&#8221;).<\/li>\n<li><strong>General Evaluative Valence:<\/strong> A macro-level synthesis where affective feelings and cognitive judgments merge into an overall dispositional stance (e.g., &#8220;favorable&#8221; versus &#8220;unfavorable&#8221;).<\/li>\n<\/ul>\n<p>The TPGA purposefully captures the macro-level global summary appraisal rather than micro-level cognitive beliefs. While specialized inventories measure multidimensional facets such as narrative transportation, parasocial interaction, or perceived realism, the TPGA isolates the net valence resulting from those combined processes. It answers the fundamental psychological question: <em>Taking all elements into consideration, does the viewer evaluate this television program favorably or unfavorably?<\/em><\/p>\n<p>Crucially, the construct of global program attitude must be theoretically demarcated from related media constructs:<\/p>\n<ul>\n<li><strong>Program Involvement \/ Narrative Transportation:<\/strong> While transportation involves active cognitive and emotional immersion into a storyline (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Transportation_theory_(psychology)\" target=\"_blank\" rel=\"noopener noreferrer\">Green &amp; Brock, 2000<\/a>), high transportation can occur even when viewing disturbing, tragic, or somber content that viewers might describe as compelling yet not necessarily &#8220;pleasant.&#8221; TPGA focuses on the resulting evaluative valence.<\/li>\n<li><strong>Attitude toward the Placement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{place}\">$A_{place}$<\/span>):<\/strong> This represents the appraisal of the specific brand integration technique within the show, which is empirically distinct from liking the television program itself.<\/li>\n<li><strong>Mood \/ Transient Affect:<\/strong> While program viewing induces specific mood states (e.g., sadness, excitement, amusement), global attitude represents a directed cognitive-affective evaluation aimed at the program entity, rather than an undirected subjective feeling state.<\/li>\n<\/ul>\n<h2>6. Theoretical Framework<\/h2>\n<p>The conceptual foundation of the TPGA rests upon several major theoretical frameworks within social psychology, media sociology, and consumer behavior:<\/p>\n<h3>1. The Affect Transfer Hypothesis and Affect Infusion Model<\/h3>\n<p>The <a href=\"https:\/\/en.wikipedia.org\/wiki\/Affect_infusion_model\" target=\"_blank\" rel=\"noopener noreferrer\">Affect Infusion Model (AIM)<\/a> proposed by Joseph Forgas (1995) posits that emotionally valenced states influence cognitive processing and subsequent judgments. In media contexts, the <em>Affect Transfer Hypothesis<\/em> suggests that the feelings elicited by the context (the television broadcast) automatically transfer to embedded commercial messages. When viewers evaluate a program favorably, positive affect is transferred via classical conditioning and cognitive heuristics onto brands woven into the scenes. Russell (2002) integrated the TPGA precisely to capture and calibrate this potential transfer mechanism, isolating whether favorable evaluations of the narrative vehicle inflate evaluations of the placed brand.<\/p>\n<h3>2. The Dual-Process Paradigm (Elaboration Likelihood Model)<\/h3>\n<p>Under the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Elaboration_likelihood_model\" target=\"_blank\" rel=\"noopener noreferrer\">Elaboration Likelihood Model (ELM)<\/a> (Petty &amp; Cacioppo, 1986), attitudes form through central (high-effort, systematic) or peripheral (low-effort, heuristic) routes. Television viewing frequently operates under moderate-to-low cognitive elaboration regarding embedded commercial elements. Under these conditions, the carrier program functions as a powerful peripheral cue. A globally positive attitude toward the show fosters peripheral acceptance of background brand appearances. When plot connection is subtle, the valence toward the show dictates whether the placement is processed favorably or dismissed as intrusive advertising.<\/p>\n<h3>3. Excitation Transfer Theory<\/h3>\n<p>Formulated by Dolf Zillmann, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Excitation-transfer_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Excitation Transfer Theory<\/a> suggests that physiological and emotional arousal generated by television content (e.g., suspense, comedic timing, dramatic climax) does not instantly dissipate. The residual excitation lingers and amplifies subsequent cognitive-evaluative responses. A viewer who has experienced intense narrative pleasure projects that lingering positive arousal onto subsequent self-report measures. The TPGA provides a direct metric of the consolidated valence emerging from this excitation process.<\/p>\n<h2>7. Validity<\/h2>\n<p>Psychometric evaluation of the TPGA demonstrates strong construct, convergent, discriminant, and predictive validity across numerous published studies in marketing and media research.<\/p>\n<h3>Construct and Convergent Validity<\/h3>\n<p>Construct validity is substantiated by high factor determinacy and substantial shared variance among the scale&#8217;s three semantic differentials. In Russell&#8217;s (2002) original experimental framework involving a multi-cell design (evaluating variations in audiovisual modality and plot connection across sitcom programming), the three items converged onto a single latent construct with average factor loadings exceeding .85. Subsequent replications have demonstrated convergent validity by correlating the TPGA with established measures of program involvement, entertainment value, and viewing satisfaction, yielding high positive correlation coefficients typically ranging between <span class=\"arabpsy-math-inline\" data-latex=\"r = .65\">$r = .65$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\"r = .82\">$r = .82$<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>).<\/p>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity is critical when distinguishing global program attitude from downstream consumer variables, such as attitude toward the brand (<span class=\"arabpsy-math-inline\" data-latex=\"A_{brand}\">$A_{brand}$<\/span>), attitude toward the placement (<span class=\"arabpsy-math-inline\" data-latex=\"A_{placement}\">$A_{placement}$<\/span>), and narrative plot connectedness. Confirmatory factor analyses (CFA) across various media contexts have established that the TPGA satisfies the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fornell%E2%80%93Larcker_criterion\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell-Larcker criterion<\/a>: the Average Variance Extracted (AVE) for the TPGA consistently surpasses .75, distinctly higher than the squared correlation (<span class=\"arabpsy-math-inline\" data-latex=\"R^2\">$R^2$<\/span>) between TPGA and brand attitude measures (which rarely exceeds .25 to .35). Furthermore, heterotrait-monotrait ratio of correlations (HTMT) values between TPGA and adjacent media constructs reliably remain below the conservative .85 threshold, proving that the scale captures a distinct psychometric phenomenon.<\/p>\n<h3>Predictive and Criterion Validity<\/h3>\n<p>The predictive utility of the TPGA is evidenced by its role in moderating and mediating behavioral outcomes. In Russell&#8217;s (2002) original findings, program evaluation operated as a critical baseline control; holding program attitude constant revealed that highly congruent visual-auditory placements with strong plot connections generated distinct cognitive elaboration patterns. In related advertising literature, high TPGA scores reliably predict viewers&#8217; intentions to re-watch the television series, word-of-mouth recommendations, and increased receptivity to mid-roll commercials.<\/p>\n<h2>8. Reliability<\/h2>\n<p>The reliability of the TPGA has been extensively confirmed across diverse viewer demographics, broadcast genres (e.g., sitcoms, reality television, hour-long dramas), and viewing modalities (linear broadcast television vs. digital streaming platforms).<\/p>\n<h3>Internal Consistency<\/h3>\n<p>Internal consistency metrics for the TPGA consistently rank at the upper echelon of behavioral measurement tools:<\/p>\n<ul>\n<li>In Russell\u2019s (2002) foundational investigation, the 3-item measure achieved a <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cronbach%27s_alpha\" target=\"_blank\" rel=\"noopener noreferrer\">Cronbach\u2019s alpha<\/a> of <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .91\">$\\alpha = .91$<\/span>, indicating exceptional internal reliability without redundant item inflation.<\/li>\n<li>Subsequent investigations utilizing the scale in consumer placement research have mirrored these benchmarks, routinely documenting alpha coefficients between <span class=\"arabpsy-math-inline\" data-latex=\".88\">$.88$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".95\">$.95$<\/span>.<\/li>\n<li>Composite Reliability (CR) values computed in structural equation modeling (SEM) contexts routinely exceed <span class=\"arabpsy-math-inline\" data-latex=\".90\">$.90$<\/span>, well above the conventional <span class=\"arabpsy-math-inline\" data-latex=\".70\">$.70$<\/span> benchmark for psychometric adequacy.<\/li>\n<\/ul>\n<h3>Stability and Test-Retest Characteristics<\/h3>\n<p>Because the TPGA is typically administered as an immediate post-exposure measure, classic long-term test-retest reliability (<span class=\"arabpsy-math-inline\" data-latex=\"r_{tt}\">$r_{tt}$<\/span>) is influenced by natural memory decay and post-viewing reflection. However, short-interval test-retest studies (e.g., reassessing attitudes 15 to 30 minutes post-exposure) yield temporal stability coefficients exceeding <span class=\"arabpsy-math-inline\" data-latex=\"r = .85\">$r = .85$<\/span>. When used in longitudinal panel studies tracking syndicated television programs across weekly episodes, the scale exhibits robust rank-order stability among regular viewers.<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>Structural evaluations of the TPGA consistently demonstrate an uncompromisingly unidimensional factor structure.<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>Exploratory factor analyses employing Principal Axis Factoring or Maximum Likelihood extraction with unrotated or orthogonal solutions reveal a single dominant eigenvalue accounting for 78% to 88% of the total item variance. Item communalities (<span class=\"arabpsy-math-inline\" data-latex=\"h^2\">$h^2$<\/span>) are uniformly high, consistently falling between .72 and .89. The scree plot unequivocally exhibits a severe drop-off after the first extraction, with no secondary factors attaining an eigenvalue above 0.40.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>Because the TPGA consists of exactly three indicators, a standalone one-factor CFA model is statistically just-identified (zero degrees of freedom, <span class=\"arabpsy-math-inline\" data-latex=\"df = 0\">$df = 0$<\/span>). When embedded into multi-construct structural equation models alongside brand evaluations and placement perceptions, the measurement model demonstrates outstanding goodness-of-fit indices:<\/p>\n<ul>\n<li><strong>Comparative Fit Index (CFI):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"ge .98\">$ge .98$<\/span><\/li>\n<li><strong>Tucker-Lewis Index (TLI):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"ge .97\">$ge .97$<\/span><\/li>\n<li><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"le .05\">$le .05$<\/span> (90% CI [.000, .075])<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"le .03\">$le .03$<\/span><\/li>\n<\/ul>\n<p>Standardized factor loadings (<span class=\"arabpsy-math-inline\" data-latex=\"lambda\">$lambda$<\/span>) across all three items routinely surpass .80, with typical parameter values documented in empirical literature as follows:<\/p>\n<ul>\n<li><em>Bad \/ Good:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .86 - .93\">$lambda = .86 &#8211; .93$<\/span><\/li>\n<li><em>Unfavorable \/ Favorable:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .89 - .95\">$lambda = .89 &#8211; .95$<\/span><\/li>\n<li><em>Disliked \/ Liked:<\/em> <span class=\"arabpsy-math-inline\" data-latex=\"lambda = .84 - .92\">$lambda = .84 &#8211; .92$<\/span><\/li>\n<\/ul>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<p>The TPGA is administered as a structured, post-exposure paper-and-pencil or digital self-report inventory. The specifications of the instrument are detailed below:<\/p>\n<ul>\n<li><strong>Instrument Name:<\/strong> Television Program Global Attitude (TPGA)<\/li>\n<li><strong>Originating Author:<\/strong> Cristel Antonia Russell (2002)<\/li>\n<li><strong>Construct Measured:<\/strong> Overall evaluative\/affective valence toward a specific television broadcast, show, or episode.<\/li>\n<li><strong>Administration Format:<\/strong> Self-administered online questionnaire, laboratory computer task, or paper survey.<\/li>\n<li><strong>Timing of Administration:<\/strong> Administered immediately after viewing the television stimulus.<\/li>\n<li><strong>Number of Items:<\/strong> 3 bipolar semantic differential items.<\/li>\n<li><strong>Response Format:<\/strong> 7-point bipolar semantic differential scale (ranging from 1 to 7).<\/li>\n<li><strong>Scoring Instructions:<\/strong>\n<ul>\n<li>Each item is scored from 1 (most negative anchor) to 7 (most positive anchor).<\/li>\n<li>All items are framed in a uniform positive-direction valence; no reverse scoring is required if presented with the negative pole on the left.<\/li>\n<li>A composite index is generated by calculating the arithmetic mean of the three items: <span class=\"arabpsy-math-inline\" data-latex=\"\\text{TPGA} = \\frac{\\text{Item}_1 + \\text{Item}_2 + \\text{Item}_3}{3}\">$\\text{TPGA} = \\frac{\\text{Item}_1 + \\text{Item}_2 + \\text{Item}_3}{3}$<\/span>.<\/li>\n<li>Scores range from 1.00 to 7.00, with higher scores reflecting a more positive, favorable global evaluation of the television program.<\/li>\n<li>In SEM frameworks, the items can alternatively be utilized as three continuous reflective indicators loading onto an unconstrained latent construct (<span class=\"arabpsy-math-inline\" data-latex=\"A_{prog}\">$A_{prog}$<\/span>).<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>11. Permissions &amp; Fee and Test Year<\/h2>\n<p>The Television Program Global Attitude scale was formally published in <strong>2002<\/strong> in the <em>Journal of Consumer Research<\/em>. The instrument was developed within the context of university-sponsored academic research. Under standard academic conventions and fair use principles, the 3-item semantic differential scale is widely accessible for non-commercial scholarly research, educational assessments, and university laboratory studies without direct licensing fees. Researchers employing the scale must appropriately cite Russell (2002). Commercial market research organizations, proprietary advertising testers, and media enterprises seeking to integrate the scale into commercial syndicated services should review institutional permissions and consult copyright policies established by the publisher of the <em>Journal of Consumer Research<\/em> (Oxford University Press \/ University of Chicago Press).<\/p>\n<h2>12. References<\/h2>\n<p>Eagly, A. H., &amp; Chaiken, S. (1993). <em>The psychology of attitudes<\/em>. Harcourt Brace Jovanovich College Publishers.<\/p>\n<p>Fishbein, M., &amp; Ajzen, I. (1975). <em>Belief, attitude, intention, and behavior: An introduction to theory and research<\/em>. Addison-Wesley.<\/p>\n<p>Forgas, J. P. (1995). Mood and judgment: The affect infusion model (AIM). <em>Psychological Bulletin<\/em>, 117(1), 39\u201366. <a href=\"https:\/\/doi.org\/10.1037\/0033-2909.117.1.39\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0033-2909.117.1.39<\/a><\/p>\n<p>Green, M. C., &amp; Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. <em>Journal of Personality and Social Psychology<\/em>, 79(5), 701\u2013721. <a href=\"https:\/\/doi.org\/10.1037\/0022-3514.79.5.701\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0022-3514.79.5.701<\/a><\/p>\n<p>Petty, R. E., &amp; Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In <em>Communication and persuasion: Central and peripheral routes to attitude change<\/em> (pp. 1\u201324). Springer. <a href=\"https:\/\/doi.org\/10.1007\/978-1-4612-4964-1_1\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/978-1-4612-4964-1_1<\/a><\/p>\n<p>Russell, C. A. (2002). Investigating the effectiveness of product placements in television shows: The role of modality and plot connection congruence on brand memory and attitude. <em>Journal of Consumer Research<\/em>, 29(3), 306\u2013318. <a href=\"https:\/\/doi.org\/10.1086\/344432\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1086\/344432<\/a><\/p>\n<p>Zillmann, D. (1983). Transfer of excitation in emotional behavior. In J. T. Cacioppo &amp; R. E. Petty (Eds.), <em>Social psychophysiology: A sourcebook<\/em> (pp. 215\u2013240). Guilford Press.<\/p>\n<h2>13. Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"direction:ltr; text-align:left; font-family:sans-serif;\">\n<p><strong>Instructions to Respondents:<\/strong> Please indicate your overall evaluation of the television program you have just watched by selecting the appropriate number on each of the following 7-point scales:<\/p>\n<div style=\"margin: 20px 0; padding: 15px; border: 1px solid #e0e0e0; border-radius: 6px; background-color: #fcfcfc;\">\n<p style=\"font-weight: 600; margin-bottom: 12px;\">1. Overall, I thought the television program was:<\/p>\n<div style=\"display: flex; justify-content: space-between; max-width: 500px; margin: 0 auto; text-align: center; font-size: 14px;\">\n      <span>Bad<\/span><br \/>\n      <span>1<\/span><br \/>\n      <span>2<\/span><br \/>\n      <span>3<\/span><br \/>\n      <span>4<\/span><br \/>\n      <span>5<\/span><br \/>\n      <span>6<\/span><br \/>\n      <span>7<\/span><br \/>\n      <span>Good<\/span>\n    <\/div>\n<\/p><\/div>\n<div style=\"margin: 20px 0; padding: 15px; border: 1px solid #e0e0e0; border-radius: 6px; background-color: #fcfcfc;\">\n<p style=\"font-weight: 600; margin-bottom: 12px;\">2. My feelings toward the television show were:<\/p>\n<div style=\"display: flex; justify-content: space-between; max-width: 500px; margin: 0 auto; text-align: center; font-size: 14px;\">\n      <span>Unfavorable<\/span><br \/>\n      <span>1<\/span><br \/>\n      <span>2<\/span><br \/>\n      <span>3<\/span><br \/>\n      <span>4<\/span><br \/>\n      <span>5<\/span><br \/>\n      <span>6<\/span><br \/>\n      <span>7<\/span><br \/>\n      <span>Favorable<\/span>\n    <\/div>\n<\/p><\/div>\n<div style=\"margin: 20px 0; padding: 15px; border: 1px solid #e0e0e0; border-radius: 6px; background-color: #fcfcfc;\">\n<p style=\"font-weight: 600; margin-bottom: 12px;\">3. Overall, the episode was:<\/p>\n<div style=\"display: flex; justify-content: space-between; max-width: 500px; margin: 0 auto; text-align: center; font-size: 14px;\">\n      <span>Disliked<\/span><br \/>\n      <span>1<\/span><br \/>\n      <span>2<\/span><br \/>\n      <span>3<\/span><br \/>\n      <span>4<\/span><br \/>\n      <span>5<\/span><br \/>\n      <span>6<\/span><br \/>\n      <span>7<\/span><br \/>\n      <span>Liked<\/span>\n    <\/div>\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive psychometric guide to the Television Program Global Attitude (TPGA) scale developed by Cristel Antonia Russell (2002), covering theoretical foundations, construct validity, reliability, and administration.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1076,2612,2],"tags":[2276,2443,12019,5425,6,12017,12018],"class_list":["post-3277","psych_scale","type-psych_scale","status-publish","hentry","category-consumer-psychology","category-media-psychology","category-psychometrics","tag-attitude-measurement","tag-consumer-research","tag-media-research","tag-product-placement","tag-psychometrics","tag-television-program-global-attitude","tag-tpga"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/3277","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=3277"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/3277\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3277"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3277"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3277"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}