{"id":9140,"date":"2026-09-30T14:58:43","date_gmt":"2026-09-30T14:58:43","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/teacher-support-scale\/"},"modified":"2026-09-30T14:58:43","modified_gmt":"2026-09-30T14:58:43","slug":"teacher-support-scale","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=teacher-support-scale","title":{"rendered":"Teacher Support Scale"},"content":{"rendered":"<h2>Abstract<\/h2>\n<p>The <strong>Teacher Support Scale<\/strong> (TSS), conceptualized and psychometrically operationalized by Rachel M. Metheny, Ellen Hawley McWhirter, and Paul E. O\u2019Neil in 2008, is an extensively utilized psychometric instrument engineered to evaluate adolescent and young adult students&#39; perceptions of supportive behaviors and relational attitudes exhibited by their teachers. Unlike interpersonal measures that assess dyadic interactions with a single designated instructor, the TSS assesses teacher support as a generalized institutional and social climate phenomenon across an educational institution&#39;s broader instructional staff. The instrument comprises 21 self-report items evaluated on a 5-point Likert-type response scale ranging from 1 (<em>Strongly Disagree<\/em>) to 5 (<em>Strongly Agree<\/em>). Historically, the scale was formulated across four theoretical dimensions: <em>Interested<\/em> (teacher investment in student development and future trajectory), <em>Positive Regard<\/em> (teacher belief in student worth, competence, and public commendation), <em>Expectation<\/em> (rigorous standards for academic engagement and output), and <em>Accessible<\/em> (relational availability and ease of communication). Psychometric investigations across diverse adolescent cohorts demonstrate robust internal consistency, with total scale Cronbach\u2019s alpha (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span>) and McDonald\u2019s omega (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega\">$\\omega$<\/span>) coefficients routinely falling between .90 and .97. Advanced structural equation modeling and cross-cultural validations\u2014including significant psychometric investigations in vocational and secondary settings\u2014have critically examined whether the TSS functions as a correlated four-factor structure, a second-order hierarchical model, or a bifactor structural configuration. Empirical evidence frequently reveals substantial inter-factor collinearity (<span class=\"arabpsy-math-inline\" data-latex=\"r = .71\">$r = .71$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".99\">$.99$<\/span>), pointing toward a dominant, overarching general factor of perceived teacher support alongside specific minor facets (such as indirect emotional support\/positive regard). The TSS has established substantial criterion-related, convergent, and predictive validity through its robust positive relationships with <a href=\"https:\/\/en.wikipedia.org\/wiki\/Career_adaptability\" target=\"_blank\" rel=\"noopener noreferrer\">career adaptability<\/a>, academic self-efficacy, intrinsic educational motivation, and school persistence, while simultaneously demonstrating strong inverse correlations with academic alienation and school dropout rates.<\/p>\n<h2>Keywords<\/h2>\n<p>Teacher Support Scale, perceived teacher support, academic engagement, Social Cognitive Career Theory, vocational education, Tardy&#39;s social support model, school climate, psychometrics, bifactor modeling, adolescent development, teacher-student relationships, career adaptability<\/p>\n<h2>Authors<\/h2>\n<p>The Teacher Support Scale was formulated by <strong>Rachel M. Metheny<\/strong>, <strong>Ellen Hawley McWhirter<\/strong>, and <strong>Paul E. O\u2019Neil<\/strong>. At the time of the instrument&#39;s initial development and empirical validation (published in 2008 in the <em>Journal of Career Assessment<\/em>), the authors were affiliated with the Department of Counseling Psychology and Human Services within the College of Education at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/University_of_Oregon\" target=\"_blank\" rel=\"noopener noreferrer\">University of Oregon<\/a>, Eugene, Oregon, United States.<\/p>\n<p>Dr. Ellen Hawley McWhirter is an internationally recognized counseling psychologist and the Ann Swindells Professor of Counseling Psychology at the University of Oregon. Her extensive empirical portfolio centers on adolescent vocational development, youth empowerment, critical consciousness, social justice interventions, and the role of ecological support systems (including familial, educational, and communal networks) in shaping career decision-making trajectories among marginalized and Latinx adolescents. Rachel M. Metheny and Paul E. O&#39;Neil collaborated with Dr. McWhirter to address a methodological deficit in educational and vocational literature: namely, the absence of an empirically rigorous, multidimensional tool capable of capturing school-level perceived teacher support within counseling and career development frameworks.<\/p>\n<p>Subsequent psychometric adaptations and structural evaluations have been spearheaded by prominent international researchers, notably <strong>Justin C. Perry<\/strong>, <strong>Eric W. Liu<\/strong>, and <strong>Vince D. Pabian<\/strong> (2010), who examined the instrument among urban youth, as well as <strong>Bohum\u00edra Lazarov\u00e1<\/strong>, <strong>Petr Hla\u010fo<\/strong>, and <strong>Lenka Hlou\u0161kov\u00e1<\/strong> (2019) at Masaryk University, who adapted the scale into Central European vocational training contexts.<\/p>\n<h2>Purpose<\/h2>\n<p>The primary purpose of the Teacher Support Scale is to quantitatively capture and evaluate secondary and vocational students&#39; cognitive appraisals of the support, guidance, emotional warmth, and expectations provided by the collective teaching faculty. Historically, social support measurement in developmental and educational psychology was bifurcated: scales either assessed broad socio-environmental networks without distinguishing educators from peers and parents, or they evaluated clinical, classroom-specific dyadic attachments (e.g., student-teacher relationship inventories targeting early childhood education). The TSS was designed specifically to bridge this empirical divide by offering an instrument tailored to adolescents and emerging adults that conceptualizes educators as an institutional social subsystem.<\/p>\n<p>From an applied clinical and school counseling perspective, the TSS serves as a powerful screening, diagnostic, and programmatic evaluation instrument. School psychologists, guidance counselors, and educational administrators utilize the tool to diagnose institutional school climate deficits. By administering the scale across cohorts, school systems can identify student populations experiencing relational alienation or structural neglect before these perceptions manifest as chronic absenteeism, academic underachievement, behavioral infractions, or formal institutional withdrawal. Furthermore, the instrument is utilized to evaluate the efficacy of school-wide psychosocial interventions, restorative justice initiatives, and professional development programs designed to train educators in communicative accessibility and youth empowerment.<\/p>\n<p>In academic and research contexts, the TSS is widely employed as a core structural component in models of adolescent career development and academic progression. Embedded firmly within contemporary educational psychology, the scale provides a quantifiable metric of an environmental &quot;contextual affordance&quot; or &quot;environmental barrier\/support&quot;. Researchers leverage the TSS to model complex developmental mechanisms, assessing how institutional social capital translates into subjective feelings of academic competence, career planning readiness, occupational exploration, and psychological resilience. In vocational education particularly, where students must manage demanding dual transitions between classroom curricula and real-world industrial apprenticeships, the perception of faculty backing captured by the TSS represents a fundamental determinant of whether students cultivate adaptive career behaviors or succumb to occupational decision paralysis.<\/p>\n<h2>Psychological Construct<\/h2>\n<p>Perceived teacher support, as assessed by the TSS, is operationalized as an overarching socio-cognitive construct reflecting a student&#39;s generalized perception that the educational professionals within their school are approachable, invest personal and structural effort into their scholastic and vocational success, maintain ambitious expectations for their performance, and hold them in genuine positive regard. Metheny, McWhirter, and O&#39;Neil (2008) constructed the TSS around four distinct, interrelated theoretical dimensions:<\/p>\n<h3>1. Expectation<\/h3>\n<p>The <em>Expectation<\/em> dimension assesses the degree to which students perceive that teachers maintain high academic benchmarks, challenge them to realize their intellectual potential, and encourage rigorous engagement. Far from denoting punitive authoritarianism, this construct captures an authoritative educational orientation characterized by belief in the student&#39;s untapped potential. High expectation from institutional authorities acts as a potent socio-cognitive catalyst, conveying to the student that their present performance is worthy of investment. Representative items reflect explicit challenges issued by educators for students to work diligently, push their limits, and pursue post-secondary or advanced occupational achievements (e.g., <em>&quot;Expect me to work hard in school&quot;<\/em>; <em>&quot;Push me to succeed&quot;<\/em>; <em>&quot;Think I should continue my education after high school&quot;<\/em>).<\/p>\n<h3>2. Interested<\/h3>\n<p>The <em>Interested<\/em> dimension operationalizes the teacher&#39;s proactive investment in the student&#39;s long-term developmental, psychological, and vocational trajectory. While immediate instruction focuses on pedagogical delivery of core curricula, the &quot;Interested&quot; construct evaluates the broader, holistic concern demonstrated toward who the student is becoming. It encompasses faculty willingness to discuss future educational and vocational ambitions, assist with broader life planning, and dedicate uncompensated temporal resources to ensure academic progress (e.g., <em>&quot;Are interested in my future&quot;<\/em>; <em>&quot;Take the time to help me get better grades&quot;<\/em>; <em>&quot;Challenge me to think about my future goals&quot;<\/em>; <em>&quot;Care about what happens to me&quot;<\/em>).<\/p>\n<h3>3. Accessible<\/h3>\n<p>The <em>Accessible<\/em> dimension measures the perceived relational availability, approachability, and communicative openness of the teaching staff. In institutional environments where instructors appear distant, authoritarian, or hurried, students encounter high socio-emotional barriers to asking questions, clarifying ambiguities, or seeking help. The Accessible construct measures the absence of these barriers, evaluating whether students experience instructors as psychologically and pragmatically available to address both scholastic concerns and personal dilemmas (e.g., <em>&quot;Try to answer my questions&quot;<\/em>; <em>&quot;Are easy to talk to about school things&quot;<\/em>; <em>&quot;Are easy to talk to about things besides school&quot;<\/em>; <em>&quot;Will listen if I want to talk about a problem&quot;<\/em>).<\/p>\n<h3>4. Positive Regard<\/h3>\n<p>The <em>Positive Regard<\/em> dimension captures an indirect, emotionally affirming aspect of support: the student&#39;s internalized belief that teachers hold favorable, esteem-building judgments regarding their character, intellect, and work ethic. Drawing heavily from unconditional positive regard concepts, this dimension reflects the emotional validation a student experiences when they perceive that instructors respect them as individuals, enjoy their presence in class, and express confidence in their cognitive abilities to third parties (e.g., <em>&quot;Think I am a hard worker&quot;<\/em>; <em>&quot;Believe I am smart&quot;<\/em>; <em>&quot;Enjoy having me in their classes&quot;<\/em>; <em>&quot;Would tell other people good things about me&quot;<\/em>).<\/p>\n<h2>Theoretical Framework<\/h2>\n<p>The conceptual architecture of the Teacher Support Scale is grounded at the intersection of several influential psychological models: <strong>Tardy\u2019s (1985) Conceptual Model of Social Support<\/strong>, <strong>Social Cognitive Career Theory<\/strong> (SCCT; Lent, Brown, &amp; Hackett, 1994, 2000), <strong>Bronfenbrenner\u2019s Ecological Systems Theory<\/strong> (1979), and <strong>Self-Determination Theory<\/strong> (SDT; Ryan &amp; Deci, 2000).<\/p>\n<h3>Tardy&#39;s Social Support Model<\/h3>\n<p>A foundational theoretical pillar of the TSS is Charles H. Tardy\u2019s (1985) multidimensional framework of social support. Tardy delineated five structural elements necessary for operationalizing social support: <em>Direction<\/em> (support given vs. support received), <em>Disposition<\/em> (support availability vs. support enacted), <em>Description vs. Evaluation<\/em> (objective cognitive descriptions of supportive actions vs. subjective satisfaction with support), <em>Network<\/em> (the specific social sources providing support, such as family, peers, coworkers, or teachers), and <em>Content<\/em> (the functional form of support). Tardy classified content into four operational typologies:<\/p>\n<ul>\n<li><strong>Emotional Support:<\/strong> Expressions of care, trust, empathy, and positive appraisal, directly reflected in the TSS <em>Positive Regard<\/em> items.<\/li>\n<li><strong>Instrumental Support:<\/strong> Concrete behaviors and temporal resources allocated to help the individual solve pragmatic problems, represented in the TSS by items reflecting teachers dedicating extra time to assist with grade improvement.<\/li>\n<li><strong>Informational Support:<\/strong> The transmission of guidance, cognitive frameworks, and practical knowledge relevant to problem-solving, operationalized in the TSS through teacher assistance regarding school issues, academic questions, and career navigation.<\/li>\n<li><strong>Appraisal Support:<\/strong> Evaluative feedback, standard-setting, and developmental affirmation, embodied by the TSS <em>Expectation<\/em> and <em>Interested<\/em> dimensions.<\/li>\n<\/ul>\n<p>The TSS exclusively evaluates the <em>received\/perceived disposition<\/em> and <em>subjective description<\/em> of support emanating specifically from the <em>educational network<\/em> source.<\/p>\n<h3>Social Cognitive Career Theory (SCCT)<\/h3>\n<p>Metheny, McWhirter, and O\u2019Neil designed the scale explicitly to enhance the measurement of environmental contexts within <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_cognitive_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Cognitive Career Theory<\/a>. Stemming from Albert Bandura\u2019s (1986) social cognitive foundations, SCCT posits that personal career interests, self-efficacy expectations, outcome expectations, and career goals do not develop in a psychological vacuum. Instead, they are continuously shaped, mediated, and moderated by environmental contextual affordances, classified into proximal contextual supports and distal background influences. Perceived teacher support functions as a pivotal proximal contextual affordance. When teachers communicate high expectations, make themselves relationally accessible, and foster positive regard, they directly bolster adolescents&#39; academic and vocational <a href=\"https:\/\/en.wikipedia.org\/wiki\/Self-efficacy\" target=\"_blank\" rel=\"noopener noreferrer\">self-efficacy<\/a> via verbal persuasion and positive vicarious modeling.<\/p>\n<h3>Ecological Systems Theory &amp; Self-Determination Theory<\/h3>\n<p>From an ecological perspective (Bronfenbrenner, 1979), the educational institution functions as a primary <em>microsystem<\/em> where direct, sustained face-to-face interactions take place. The TSS captures the relational tone of this microsystem, evaluating whether the classroom environment provides a developmental setting characterized by mutual trust and reciprocal developmental push. Concurrently, Self-Determination Theory (Ryan &amp; Deci, 2000) posits that intrinsic educational engagement depends on the satisfaction of three universal psychological needs: <em>competence<\/em>, <em>autonomy<\/em>, and <em>relatedness<\/em>. The TSS directly indexes the relational infrastructure through which educators satisfy these core needs: <em>Positive Regard<\/em> and <em>Expectation<\/em> cultivate a sense of competence; <em>Accessible<\/em> interactions satisfy the need for relatedness; and active guidance regarding personal futures (<em>Interested<\/em>) honors and nurtures the student&#39;s developmental autonomy.<\/p>\n<h2>Validity<\/h2>\n<p>The psychometric validity of the Teacher Support Scale has been scrutinized across multiple independent empirical investigations, yielding robust support across distinct validity domains.<\/p>\n<h3>Construct &amp; Factorial Validity<\/h3>\n<p>Initial construct validity was supported by Metheny et al. (2008) via exploratory and confirmatory factor analytic frameworks showing that items loaded cleanly onto the four designated theoretical facets. Subsequent cross-cultural investigations, such as the comprehensive study conducted by Lazarov\u00e1, Hla\u010fo, and Hlou\u0161kov\u00e1 (2019) on a cohort of 1,739 secondary vocational students, evaluated both correlated four-factor models and hierarchical second-order models. In structural testing, the high inter-correlations among the four latent factors prompted researchers to test a <strong>bifactor model<\/strong>. The bifactor structure demonstrated superior fit (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(172) = 3035\">$\\chi^2(172) = 3035$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>, $\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{CFI} = .955<\/span><span class=\"arabpsy-math-inline\" data-latex=\",\">$,$<\/span>\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{RMSEA} = .079<\/span><span class=\"arabpsy-math-inline\" data-latex=\",\">$,$<\/span>\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{SRMR} = .041<\/span>$), confirming that while a specific facet of indirect emotional support\/positive regard exists, the instrument primarily measures a highly cohesive, unified construct of perceived teacher support.<\/p>\n<h3>Convergent &amp; Concurrent Validity<\/h3>\n<p>Convergent validity is evidenced by significant, theoretically congruent correlations between the TSS and established psychometric instruments measuring socio-academic and psychological constructs:<\/p>\n<ul>\n<li><strong>Career Adaptability:<\/strong> Lazarov\u00e1 et al. (2019) evaluated the TSS alongside the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Career_adaptability\" target=\"_blank\" rel=\"noopener noreferrer\">Career Adapt-Abilities Scale<\/a> (CAAS; Savickas &amp; Porfeli, 2012). The total TSS score demonstrated robust, statistically significant positive correlations with overall career adaptability (<span class=\"arabpsy-math-inline\" data-latex=\"r = .35\">$r = .35$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>) as well as all four CAAS subscales: Concern (<span class=\"arabpsy-math-inline\" data-latex=\"r = .29\">$r = .29$<\/span>), Control (<span class=\"arabpsy-math-inline\" data-latex=\"r = .29\">$r = .29$<\/span>), Curiosity (<span class=\"arabpsy-math-inline\" data-latex=\"r = .29\">$r = .29$<\/span>), and Confidence (<span class=\"arabpsy-math-inline\" data-latex=\"r = .33\">$r = .33$<\/span>). This verifies that perceived teacher support is an environmental asset linked to adaptive vocational preparedness.<\/li>\n<li><strong>Academic Self-Efficacy:<\/strong> In samples examined by Metheny et al. (2008) and Perry et al. (2010), TSS scores correlated positively with academic self-efficacy (<span class=\"arabpsy-math-inline\" data-latex=\"r = .38\">$r = .38$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".48\">$.48$<\/span>), academic engagement, and internal locus of control.<\/li>\n<li><strong>School Belonging &amp; Satisfaction:<\/strong> The scale demonstrates substantial positive correlations (<span class=\"arabpsy-math-inline\" data-latex=\"r &gt; .50\">$r &gt; .50$<\/span>) with measures of psychological school membership and academic satisfaction.<\/li>\n<\/ul>\n<h3>Discriminant Validity<\/h3>\n<p>The TSS demonstrates strong discriminant validity against conceptually adjacent but distinct environmental and personal constructs. When measured alongside peer support and parental support scales, multi-trait multi-method matrices confirm that the TSS items load distinctly on educational authority figures without cross-loading onto peer attachment or family cohesion dimensions. Furthermore, latent correlations between the TSS and generalized trait positive affectivity confirm that the instrument is not merely an artifact of an optimistic personality disposition, but rather reflects specific appraisals of educational environments.<\/p>\n<h3>Predictive Validity<\/h3>\n<p>Predictive validity is demonstrated across multiple longitudinal and cross-sectional designs. High composite TSS scores prospectively predict reduced rates of academic disengagement, lower risk of high school dropout, increased rates of post-secondary educational enrollment, and elevated vocational aspirations among historically underserved, rural, and urban youth cohorts (Perry et al., 2010; McWhirter et al., 2008).<\/p>\n<h2>Reliability<\/h2>\n<p>The Teacher Support Scale exhibits exceptionally robust internal consistency and temporal stability metrics across diverse socioeconomic, ethnic, and international educational populations.<\/p>\n<h3>Internal Consistency<\/h3>\n<p>Across validation studies, the global 21-item scale consistently yields reliability coefficients exceeding established psychometric benchmarks:<\/p>\n<ul>\n<li><strong>Cronbach\u2019s Alpha (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span>):<\/strong> In the seminal development studies by Metheny, McWhirter, and O\u2019Neil (2008), the overall TSS demonstrated high internal consistency, with <span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span> coefficients typically spanning <span class=\"arabpsy-math-inline\" data-latex=\".91\">$.91$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".94\">$.94$<\/span>. Investigations by Perry, Liu, and Pabian (2010) involving culturally diverse, urban secondary school cohorts reported exceptionally high internal consistencies ranging from <span class=\"arabpsy-math-inline\" data-latex=\".91\">$.91$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".97\">$.97$<\/span>.<\/li>\n<li><strong>McDonald\u2019s Omega (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega\">$\\omega$<\/span>):<\/strong> Recognizing the limitations of Cronbach\u2019s alpha under conditions of varying factor loadings (tau-equivalence violations), Lazarov\u00e1 et al. (2019) computed McDonald\u2019s omega for categorical data using the WLSMV estimator. The total scale demonstrated an outstanding composite reliability of <span class=\"arabpsy-math-inline\" data-latex=\"\\omega = .90\">$\\omega = .90$<\/span>.<\/li>\n<li><strong>Subscale Consistency:<\/strong> Individual subscales historically demonstrate acceptable to strong internal consistency: Expectation (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha \u0007pprox .82 - .88\">$\u0007lpha \u0007pprox .82 &#8211; .88$<\/span>), Interested (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha \u0007pprox .84 - .89\">$\u0007lpha \u0007pprox .84 &#8211; .89$<\/span>), Accessible (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha \u0007pprox .81 - .86\">$\u0007lpha \u0007pprox .81 &#8211; .86$<\/span>), and Positive Regard (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha \u0007pprox .83 - .88\">$\u0007lpha \u0007pprox .83 &#8211; .88$<\/span>). However, when evaluated within a strict bifactor model, the specific Positive Regard facet yielded a low unique omega hierarchical (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega_h = .26\">$\\omega_h = .26$<\/span>), demonstrating that the variance of individual items is overwhelmingly captured by the overarching, general teacher support dimension rather than independent subscale variance. Consequently, psychometricians recommend utilizing the total composite TSS score for research and clinical purposes.<\/li>\n<\/ul>\n<h3>Measurement Error and Test-Retest Stability<\/h3>\n<p>The Standard Error of Measurement (SEM) for the global TSS remains consistently low (typically between $0.15$ and $0.22$ on a standardized 5-point scale metric), confirming high measurement precision. Test-retest stability coefficients across 4- to 8-week intervals range between <span class=\"arabpsy-math-inline\" data-latex=\"r_{tt} = .78\">$r_{tt} = .78$<\/span> and <span class=\"arabpsy-math-inline\" data-latex=\".85\">$.85$<\/span>, demonstrating that the scale reflects stable, durable cognitive appraisals of the school environment while remaining adequately sensitive to detect real systemic changes following pedagogical or institutional climate interventions.<\/p>\n<h2>Factor Analysis<\/h2>\n<p>The latent structure of the Teacher Support Scale has been the focus of sophisticated empirical modeling, tracing an evolution from classical independent factor models to advanced bifactor structural equation modeling.<\/p>\n<h3>Original Four-Factor Correlated Model<\/h3>\n<p>Metheny, McWhirter, and O\u2019Neil (2008) initially specified an a priori four-factor correlated model (Model 1: <em>Interested<\/em>, <em>Positive Regard<\/em>, <em>Expectation<\/em>, and <em>Accessible<\/em>). While early exploratory factor analyses supported this taxonomy, subsequent confirmatory factor analyses (CFA) conducted in larger, more varied samples revealed critical structural vulnerabilities. Specifically, structural evaluations frequently encounter extreme multicollinearity among the four latent factors, with inter-factor correlation coefficients ranging from <span class=\"arabpsy-math-inline\" data-latex=\"r = .71\">$r = .71$<\/span> up to <span class=\"arabpsy-math-inline\" data-latex=\".99\">$.99$<\/span>.<\/p>\n<h3>Hierarchical &amp; Second-Order Models<\/h3>\n<p>To account for the immense covariance among the four factors, psychometricians tested a hierarchical second-order model (Model 2), wherein the four first-order latent dimensions were specified as indicators of a single second-order &quot;General Teacher Support&quot; latent variable. In structural testing using the robust Weighted Least Squares Mean and Variance adjusted (WLSMV) estimator in <code>lavaan<\/code> (Rosseel, 2012), Model 2 frequently results in inadmissible mathematical solutions. For example, Lazarov\u00e1, Hla\u010fo, and Hlou\u0161kov\u00e1 (2019) reported that the correlated factors model yielded barely acceptable fit (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(183) = 4707\">$\\chi^2(183) = 4707$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>, $\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{CFI} = .93<\/span><span class=\"arabpsy-math-inline\" data-latex=\",\">$,$<\/span>\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{RMSEA} = .098<\/span><span class=\"arabpsy-math-inline\" data-latex=\",\">$,$<\/span>\t<span class=\"arabpsy-eq\" dir=\"ltr\">ext{SRMR} = .050<\/span><span class=\"arabpsy-math-inline\" data-latex=\"), while its estimated latent variable variance-covariance matrix (\">$), while its estimated latent variable variance-covariance matrix ($<\/span>psi$) was not positive-definite. Similarly, the hierarchical model produced an improper solution characterized by a negative disturbance variance (a <a href=\"https:\/\/en.wikipedia.org\/wiki\/Heywood_case\" target=\"_blank\" rel=\"noopener noreferrer\">Heywood case<\/a>) and standardized factor loadings exceeding $1.00$, indicating over-factoring and model misspecification.<\/p>\n<h3>Bifactor Model Structure<\/h3>\n<p>To resolve these structural estimation problems, Lazarov\u00e1 et al. (2019) conducted exploratory factor analysis and subsequent bifactor CFA. In this bifactor structural configuration, every single item loads directly onto a general, overarching <em>Teacher Support<\/em> latent factor, while specific subsets of items are permitted to load simultaneously onto independent, orthogonal specific group factors (or facets).<\/p>\n<table style=\"width:100%; border-collapse:collapse; margin:20px 0; font-size:14px; text-align:left;\">\n<thead>\n<tr style=\"background:#f1f5f9; border-bottom:2px solid #cbd5e1;\">\n<th style=\"padding:10px 12px;\">Structural Model<\/th>\n<th style=\"padding:10px 12px;\"><span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2\">$\\chi^2$<\/span><\/th>\n<th style=\"padding:10px 12px;\"><span class=\"arabpsy-math-inline\" data-latex=\"df\">$df$<\/span><\/th>\n<th style=\"padding:10px 12px;\">CFI<\/th>\n<th style=\"padding:10px 12px;\">RMSEA [90% CI]<\/th>\n<th style=\"padding:10px 12px;\">SRMR<\/th>\n<th style=\"padding:10px 12px;\">Status<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>M1: Correlated 4-Factor<\/strong><\/td>\n<td style=\"padding:10px 12px;\">4707<\/td>\n<td style=\"padding:10px 12px;\">183<\/td>\n<td style=\"padding:10px 12px;\">.930<\/td>\n<td style=\"padding:10px 12px;\">.098<\/td>\n<td style=\"padding:10px 12px;\">.050<\/td>\n<td style=\"padding:10px 12px; color:#b91c1c;\">Non-positive definite (<span class=\"arabpsy-math-inline\" data-latex=\"psi\">$psi$<\/span>)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>M2: Hierarchical 2nd-Order<\/strong><\/td>\n<td style=\"padding:10px 12px;\">4653<\/td>\n<td style=\"padding:10px 12px;\">185<\/td>\n<td style=\"padding:10px 12px;\">.930<\/td>\n<td style=\"padding:10px 12px;\">.097<\/td>\n<td style=\"padding:10px 12px;\">.051<\/td>\n<td style=\"padding:10px 12px; color:#b91c1c;\">Inadmissible (Heywood case)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #cbd5e1; background:#f8fafc;\">\n<td style=\"padding:10px 12px;\"><strong>M3: Bifactor Model<\/strong><\/td>\n<td style=\"padding:10px 12px;\">3035<\/td>\n<td style=\"padding:10px 12px;\">172<\/td>\n<td style=\"padding:10px 12px;\">.955<\/td>\n<td style=\"padding:10px 12px;\">.079 [.076, .081]<\/td>\n<td style=\"padding:10px 12px;\">.041<\/td>\n<td style=\"padding:10px 12px; color:#15803d; font-weight:600;\">Admissible &amp; Superior Fit<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The bifactor model converged cleanly without mathematical anomalies, demonstrating substantially superior fit indices: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(172) = 3035\">$\\chi^2(172) = 3035$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>, Comparative Fit Index ($\text{CFI}<span class=\"arabpsy-math-inline\" data-latex=\") =\">$) =$<\/span>.955<span class=\"arabpsy-math-inline\" data-latex=\", Root Mean Square Error of Approximation (\">$, Root Mean Square Error of Approximation ($<\/span>\text{RMSEA}<span class=\"arabpsy-math-inline\" data-latex=\") =\">$) =$<\/span>.079<span class=\"arabpsy-math-inline\" data-latex=\", and Standardized Root Mean Square Residual (\">$, and Standardized Root Mean Square Residual ($<\/span>\text{SRMR}<span class=\"arabpsy-math-inline\" data-latex=\") =\">$) =$<\/span>.041<span class=\"arabpsy-math-inline\" data-latex=\". All 21 items exhibited substantial, statistically significant standardized factor loadings onto the general Teacher Support dimension (standardized loadings predominantly ranging from\">$. All 21 items exhibited substantial, statistically significant standardized factor loadings onto the general Teacher Support dimension (standardized loadings predominantly ranging from$<\/span>.60$ to <span class=\"arabpsy-math-inline\" data-latex=\".88\">$.88$<\/span>). Items capturing emotional support\/positive regard formed an auxiliary facet reflecting subtle non-verbalized appraisal. However, because the unique explained variance in the specific facet was low, psychometric findings strongly indicate that the TSS functions fundamentally as an <strong>essentially unidimensional measure<\/strong>, warranting the primary operational use of a single total composite score.<\/p>\n<h2>Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Formal Tool Title:<\/strong> Teacher Support Scale (TSS)<\/li>\n<li><strong>Original Authors:<\/strong> Rachel M. Metheny, Ellen Hawley McWhirter, and Paul E. O\u2019Neil (2008)<\/li>\n<li><strong>Instrument Format:<\/strong> Paper-and-pencil questionnaire or computerized self-report psychometric battery<\/li>\n<li><strong>Target Population:<\/strong> Secondary school students, vocational training apprentices, and early post-secondary youth (approximate ages 14\u201322 years)<\/li>\n<li><strong>Administration Modality:<\/strong> Individual or group-based proctored administration<\/li>\n<li><strong>Estimated Completion Time:<\/strong> 5 to 10 minutes<\/li>\n<li><strong>Item Count:<\/strong> 21 standardized statements referring to the teaching staff collectively rather than individual designated educators<\/li>\n<li><strong>Response Scale:<\/strong> 5-point Likert-type rating format:\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>1<\/strong> = Strongly disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>2<\/strong> = Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>3<\/strong> = Neither agree nor disagree (Neutral)<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>4<\/strong> = Agree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>5<\/strong> = Strongly agree<\/span><\/li>\n<\/ul>\n<\/li>\n<li><strong>Reverse-Scored Items:<\/strong> None. All 21 items are positively phrased; higher numerical ratings indicate higher perceived teacher support.<\/li>\n<li><strong>Scoring and Indexing:<\/strong>\n<ul>\n<li><strong>Total Score Calculation:<\/strong> Sum or mean average of all 21 items. The mean composite score ranges from 1.00 to 5.00 (Summed score ranges from 21 to 105).<\/li>\n<li><strong>Subscale Computations (Theoretical\/Descriptive):<\/strong>\n<ul>\n<li><em>Expectation<\/em> (Items reflecting academic rigor and encouragement to succeed)<\/li>\n<li><em>Interested<\/em> (Items reflecting faculty investment in future goals, strengths, and life outcomes)<\/li>\n<li><em>Accessible<\/em> (Items reflecting availability to answer questions and listen to problems)<\/li>\n<li><em>Positive Regard<\/em> (Items reflecting perceived faculty esteem and positive view of the student)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Psychometric Recommendation:<\/strong> Given bifactor modeling outcomes showing high inter-factor correlation and an omega of .90 for the general factor, researchers and practitioners are strongly advised to utilize the <strong>total scale composite score<\/strong> rather than fractional subscales.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Permissions &amp; Fee and Test Year<\/h2>\n<p>The Teacher Support Scale was first published in <strong>2008<\/strong> by Rachel M. Metheny, Ellen Hawley McWhirter, and Paul E. O\u2019Neil in the <em>Journal of Career Assessment<\/em> (Vol. 16, Issue 2, pp. 218\u2013233; DOI: 10.1177\/1069072707313206). The scale was developed for academic, educational, and counseling research purposes. In accordance with standard academic publishing conventions, the instrument may be utilized free of charge by researchers, educational institutions, and clinical practitioners for non-commercial research, institutional evaluation, and doctoral or master&#39;s theses, provided that appropriate scholarly attribution is formally cited. The full scale items are published in the source literature. For proprietary commercial applications, inclusion within commercial diagnostic software batteries, or formal for-profit testing platforms, users must obtain written copyright clearance and permissions directly from the copyright holder (Sage Publications and\/or the original authors).<\/p>\n<h2>References<\/h2>\n<p>Bandura, A. (1986). <em>Social foundations of thought and action: A social cognitive theory<\/em>. Prentice-Hall.<\/p>\n<p>Bronfenbrenner, U. (1979). <em>The ecology of human development: Experiments by nature and design<\/em>. Harvard University Press.<\/p>\n<p>Hla\u010fo, P., Kvaskov\u00e1, L., Je\u017eek, S., Hirschi, A., &amp; Macek, P. (2019). Career adaptability and social support of vocational upper secondary school students: A longitudinal study. <em>Journal of Adolescence<\/em>, 77, 86\u201395. <a href=\"https:\/\/doi.org\/10.1016\/j.adolescence.2019.10.007\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.adolescence.2019.10.007<\/a><\/p>\n<p>Lazarov\u00e1, B., Hla\u010fo, P., &amp; Hlou\u0161kov\u00e1, L. (2019). Perception of teacher support by students in vocational education and its associations with career adaptability and other variables. <em>Psychology in Russia: State of the Art<\/em>, 12(4), 47\u201364. <a href=\"https:\/\/doi.org\/10.11621\/pir.2019.0403\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.11621\/pir.2019.0403<\/a><\/p>\n<p>Lent, R. W., Brown, S. D., &amp; Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. <em>Journal of Vocational Behavior<\/em>, 45(1), 79\u2013122. <a href=\"https:\/\/doi.org\/10.1006\/jvbe.1994.1027\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1006\/jvbe.1994.1027<\/a><\/p>\n<p>Lent, R. W., Brown, S. D., &amp; Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. <em>Journal of Counseling Psychology<\/em>, 47(1), 36\u201349. <a href=\"https:\/\/doi.org\/10.1037\/0022-0167.47.1.36\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0022-0167.47.1.36<\/a><\/p>\n<p>Metheny, R. M., McWhirter, E. H., &amp; O&#39;Neil, P. E. (2008). Measuring perceived teacher support and its influence on school engagement, academic self-efficacy, and career preparation. <em>Journal of Career Assessment<\/em>, 16(2), 218\u2013233. <a href=\"https:\/\/doi.org\/10.1177\/1069072707313206\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/1069072707313206<\/a><\/p>\n<p>Perry, J. C., Liu, E. W., &amp; Pabian, V. D. (2010). School engagement as a mediator of academic performance among urban youth: The role of perceived teacher support. <em>Journal of Career Development<\/em>, 37(2), 551\u2013574. <a href=\"https:\/\/doi.org\/10.1177\/0894845309357063\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/0894845309357063<\/a><\/p>\n<p>Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. <em>Journal of Statistical Software<\/em>, 48(2), 1\u201336. <a href=\"https:\/\/doi.org\/10.18637\/jss.v048.i02\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18637\/jss.v048.i02<\/a><\/p>\n<p>Ryan, R. M., &amp; Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. <em>American Psychologist<\/em>, 55(1), 68\u201378. <a href=\"https:\/\/doi.org\/10.1037\/0003-066X.55.1.68\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/0003-066X.55.1.68<\/a><\/p>\n<p>Savickas, M. L., &amp; Porfeli, E. J. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. <em>Journal of Vocational Behavior<\/em>, 80(3), 661\u2013673. <a href=\"https:\/\/doi.org\/10.1016\/j.jvb.2012.01.011\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/j.jvb.2012.01.011<\/a><\/p>\n<p>Tardy, C. H. (1985). Social support: Measurement and intervention. <em>American Journal of Community Psychology<\/em>, 13(2), 187\u2013202. <a href=\"https:\/\/doi.org\/10.1007\/BF00905728\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1007\/BF00905728<\/a><\/p>\n<h2>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:16px 0 8px; font-weight:600; color:#1e293b;\">Instructions: Please read each of the following statements regarding the teachers at your school. Rate how much you agree or disagree with each statement using the scale below:<\/p>\n<p style=\"margin-bottom:16px; font-size:14px; color:#64748b;\"><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Response Scale:<\/strong> 1 = Strongly disagree, 2 = Disagree, 3 = Neither agree nor disagree, 4 = Agree, 5 = Strongly agree<\/span><\/p>\n<ol style=\"padding-left:24px; line-height:1.8; color:#334155;\">\n<li>Expect me to work hard in school<\/li>\n<li>Try to answer my questions<\/li>\n<li>Are interested in my future<\/li>\n<li>Take the time to help me get better grades<\/li>\n<li>Think I am a hard worker<\/li>\n<li>Are helpful when I have questions about career issues<\/li>\n<li>Are helpful when I have questions about school issues<\/li>\n<li>Would tell other people good things about me<\/li>\n<li>Push me to succeed<\/li>\n<li>Challenge me to think about my future goals<\/li>\n<li>Believe I am smart<\/li>\n<li>Help me understand my strengths<\/li>\n<li>Want me to do well in school<\/li>\n<li>Enjoy having me in their classes<\/li>\n<li>Care about what happens to me<\/li>\n<li>Encourage me to learn<\/li>\n<li>Think I should continue my education after high school<\/li>\n<li>Support my goals for the future<\/li>\n<li>Will listen if I want to talk about a problem<\/li>\n<li>Are easy to talk to about school things<\/li>\n<li>Are easy to talk to about things besides school<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive psychometric analysis of the Teacher Support Scale (TSS; Metheny et al., 2008), including theoretical foundations, bifactor structure, reliability, validity, and authentic 21-item questionnaire.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[11559,55,2,9073],"tags":[18628,23891,25000,3005,26996,12539,10598,26995,11812],"class_list":["post-9140","psych_scale","type-psych_scale","status-publish","hentry","category-adolescent-development","category-educational-psychology","category-psychometrics","category-vocational-psychology","tag-adolescent-psychometrics","tag-bifactor-model","tag-career-adaptability","tag-educational-measurement","tag-perceived-teacher-support","tag-school-climate","tag-social-cognitive-career-theory","tag-teacher-support-scale","tag-tss"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9140","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=9140"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/9140\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}