School-Level Environment Questionnaire

1. Abstract

The School-Level Environment Questionnaire (SLEQ) is a multidimensional psychometric instrument developed by Darrell L. Fisher and Barry J. Fraser (1990) designed to measure teachers’ perceptions of the psychosocial and organizational environment within elementary and secondary schools. Grounded in social ecological theory and adapted from Rudolf Moos’s pioneering work with the Work Environment Scale (WES), the SLEQ assesses organizational climate across eight distinct dimensions: Student Support, Affiliation, Professional Interest, Staff Freedom, Participatory Decision Making, Innovation, Resource Adequacy, and Work Pressure. Comprising 56 items arranged in a 5-point Likert response format ranging from Strongly Disagree to Strongly Agree, the instrument exists in dual administrative forms: the Actual Form, capturing teachers’ lived experiences of their current institutional climate, and the Preferred Form, measuring their aspirational or ideal workplace environment.

Psychometric evaluations across diverse educational jurisdictions—including primary, secondary, and post-secondary levels—have demonstrated that the SLEQ possesses robust psychometric properties. Scale internal consistency estimates (Cronbach’s alpha) consistently range from .70 to .91 across its subscales, exhibiting strong factorial validity through exploratory and confirmatory factor analyses, high test-retest stability, and distinctive discriminant validity among dimensions. By conceptualizing the school as an integrated workplace and psychosocial ecosystem, the SLEQ differentiates between classroom-level dynamics and broader macro-level institutional culture. The tool serves as an essential empirical apparatus for educational administrators, industrial-organizational psychologists, and school change facilitators striving to understand teacher attrition, job satisfaction, organizational commitment, and the psychosocial determinants of effective pedagogical reform.

2. Keywords

School-Level Environment Questionnaire, SLEQ, school climate, organizational climate, teacher perceptions, psychosocial environment, Work Environment Scale, educational ecology, Barry J. Fraser, Darrell L. Fisher, teacher job satisfaction, educational measurement, scale validation, institutional culture, person-environment fit.

3. Authors

The School-Level Environment Questionnaire was formulated and empirically validated through the collaborative scholarship of two preeminent educational researchers in the domain of learning environments:

• Darrell L. Fisher, PhD: Emeritus Professor of Science and Mathematics Education at Curtin University, Perth, Western Australia. Dr. Fisher is an internationally recognized scholar in classroom and school-level learning environment research, interpersonal teacher behavior, and science education assessment methodologies. His research has extensively addressed teacher-student interactions, cross-cultural educational climate assessments, and the empirical measurement of school improvement interventions.
• Barry J. Fraser, PhD: John Curtin Distinguished Professor of Education at Curtin University, Perth, Western Australia. Dr. Fraser is widely regarded as the foundational pioneer of contemporary learning environment research. He served as the long-standing executive editor of the international journal Learning Environments Research and has authored seminal psychometric instruments, including the Individualised Classroom Environment Questionnaire (ICEQ), the What Is Happening In This Class? (WIHIC) questionnaire, and adaptations of the Classroom Environment Scale (CES). His conceptual integration of social ecology into school systems has shaped decades of empirical inquiry globally.

Correspondence regarding the foundational validation studies of the SLEQ originated through the Science and Mathematics Education Centre (SMEC) at Curtin University of Technology, GPO Box U1987, Perth 6845, Western Australia. Subsequent adaptations have been coordinated through international collaborative research initiatives across North America, Europe, Asia, and Australasia.

4. Purpose

Educational institutions represent complex sociotechnical systems wherein teacher morale, instructional innovation, and pedagogical effectiveness are profoundly governed by the institutional climate. Prior to the development of the School-Level Environment Questionnaire, the assessment of educational environments suffered from a critical methodological and theoretical bifurcation. Researchers either deployed general workplace inventories—such as Moos’s Work Environment Scale—that failed to capture the unique structural, pedagogical, and pastoral realities of educational institutions, or they relied on classroom-level learning environment instruments that focused strictly on student-teacher interactions within single classrooms, ignoring the school-wide organizational matrix. Fisher and Fraser developed the SLEQ specifically to bridge this conceptual divide by establishing an instrument tailored exclusively to the school-level organizational and psychosocial environment as perceived by professional educators.

Theoretical Rationale and Contextual Measurement

The fundamental theoretical rationale underlying the SLEQ resides in the premise that schools are workplaces for teachers just as they are learning environments for students. A teacher’s occupational reality is not circumscribed merely by the physical boundaries of the classroom; it is continually shaped by collegial networks, administrative leadership styles, access to physical and pedagogical resources, bureaucratic autonomy, and the behavioral ethos of the student body at large. When school-level environmental variables are hostile, unsupportive, or highly restrictive, teacher burnout accelerates, instructional efficacy deteriorates, and institutional attrition increases. Conversely, environments marked by open collegial communication, collaborative decision-making, and professional autonomy facilitate pedagogical risk-taking, sustained professional learning, and elevated organizational commitment. The SLEQ provides a standardized, psychometrically rigorous framework for mapping these structural and psychosocial dynamics.

Dual-Form Architecture: Actual versus Preferred Environments

A transformative feature of the SLEQ is its dual-form architecture. The instrument was intentionally constructed with two parallel versions:

• The Actual Form: Measures the school environment as it is currently experienced and perceived by the teaching staff. It provides an empirical diagnostic baseline of operational climate, leadership practices, and social relations.
• The Preferred Form: Evaluates the ideal or aspirational school environment that teachers wish to inhabit. It articulates the collective psychological goals, cultural values, and organizational desires of the instructional workforce.

This dual assessment design operationalizes Kurt Lewin’s classic field theory formula, $B = f(P, E)$—behavior is a function of the person and the environment—as well as the Person-Environment Fit theory advanced by John Holland and Rudolf Moos. By calculating discrepancy scores between teachers’ Actual and Preferred ratings, researchers and school psychologists can precisely quantify institutional cognitive dissonance, professional frustration, and organizational readiness for change. When substantial discrepancies emerge within dimensions such as Staff Freedom or Participatory Decision Making, they indicate acute structural friction points that demand institutional mediation.

Applications in Clinical, Educational, and Research Settings

The SLEQ satisfies multiple diagnostic and scientific functions across educational domains:

• Organizational Development and School Restructuring: School principals and district superintendents utilize the SLEQ as a programmatic diagnostic inventory prior to implementing comprehensive educational reforms. Discrepancy analysis illuminates whether staff members feel sufficiently supported, autonomous, and resourced to execute new curricular frameworks.
• Teacher Retention and Burnout Intervention: School psychologists and human resources specialists employ the instrument to identify the systemic correlates of occupational stress, emotional exhaustion, and voluntary attrition. Specific subscales—particularly Work Pressure, Affiliation, and Student Support—act as early warning indicators of widespread faculty demoralization.
• Leadership Training and Administrative Alignment: The SLEQ serves as an empirical feedback mechanism for educational leaders. By comparing a principal’s self-assessment of the school climate against the aggregate ratings of the teaching faculty, executive coaches can illuminate administrative blind spots, autocratic tendencies, or communication breakdowns.
• Empirical Educational Research: In large-scale academic investigations, the SLEQ functions as an independent, mediating, or moderating variable when examining the relationships between school leadership styles (e.g., transformational vs. transactional), teacher emotional intelligence, faculty job satisfaction, and longitudinal student academic achievement.

5. Psychological Construct

The construct measured by the School-Level Environment Questionnaire is the multidimensional organizational climate of a school as perceived by its instructional staff. Rather than viewing school climate as a monolithic, unitary entity, the SLEQ conceptualizes it as a complex constellation of psychological, interpersonal, and structural forces. In alignment with Rudolf Moos’s social-ecological taxonomy, the 56 items of the extended SLEQ are partitioned across eight discrete subscales, with each subscale consisting of seven items. Each subscale maps a targeted facet of the school ecosystem:

1. Student Support

The Student Support dimension assesses the prevailing behavioral, motivational, and interpersonal climate established by the student body across the school. It measures the extent to which students exhibit cooperation, politeness, respect, and mutual goodwill toward the instructional staff, contrasted against the prevalence of disruptive, unruly, or hostile student conduct. In an institution scoring high on Student Support, teachers experience classroom and corridor interactions characterized by safety, compliance, and academic engagement. Conversely, low scores indicate chronic disciplinary friction, pervasive behavioral disruptions, and a generalized requirement for strict, coercive behavioral control that drains instructional energy. Illustrative items include: “Most students are helpful and cooperative to teachers” and “There are many disruptive, difficult students in the school” (reverse scored).

2. Affiliation

Affiliation operationalizes the relational cohesion, emotional warmth, and collegial camaraderie shared among members of the teaching faculty. This construct evaluates whether teachers feel integrated into a supportive, empathic social network or whether they experience professional isolation, interpersonal alienation, and emotional neglect within the staffroom. High Affiliation represents an institutional culture where colleagues provide instrumental and emotional mutual aid, form authentic friendships, and celebrate individual successes. Low Affiliation signifies factionalism, loneliness, and psychological aloofness. Illustrative items include: “I feel that I have many friends among my colleagues at this school” and “I often feel lonely and left out of things in the staffroom” (reverse scored).

3. Professional Interest

The Professional Interest dimension gauges the intellectual dynamism, pedagogical curiosity, and collaborative learning orientation of the teaching community. It captures the frequency with which educators engage in critical dialogues regarding teaching methodologies, attend continuing professional development workshops, share pedagogical literature, and observe colleagues’ instructional practices. In a high Professional Interest environment, the school operates as a genuine Professional Learning Community (PLC). In a low-scoring environment, staff meetings avoid substantive pedagogical matters, curriculum discussions are viewed as mechanical obligations, and teachers remain intellectually siloed. Illustrative items include: “Teachers frequently discuss teaching methods and strategies with each other” and “Professional matters are seldom discussed during staff meetings” (reverse scored).

4. Staff Freedom

Staff Freedom measures the degree of pedagogical autonomy, individual discretion, and professional trust accorded to teachers in the execution of their daily professional duties. This construct contrasts an empowering, permissive professional atmosphere with a rigid, highly bureaucratic, and micro-managed institutional regime. In environments with high Staff Freedom, educators are trusted to formulate lesson plans, select instructional resources, and tailor pedagogical styles to student needs without intrusive managerial surveillance. Low Staff Freedom reflects excessive prescriptive mandates, mandatory conformity to standardized lesson scripts, and constant administrative policing. Illustrative items include: “I am not expected to conform to a particular teaching style” and “I am often supervised to ensure that I follow directions carefully” (reverse scored).

5. Participatory Decision Making

This dimension quantifies the democratization of organizational governance and administrative policy formulation within the school. Participatory Decision Making captures the extent to which teachers exercise authentic voice, shared leadership, and structural influence over institutional operational decisions, budgeting, policy design, and administrative rules. High scores denote collaborative, distributed leadership wherein administrative heads actively solicit, respect, and integrate faculty perspectives. Low scores signify top-down, authoritarian governance where policy decisions are monopolized by the principal or an insular administrative cabal, relegating teachers to passive implementers. Illustrative items include: “Teachers are frequently asked to participate in decisions concerning administrative policies and procedures” and “I have very little say in the running of the school” (reverse scored).

6. Innovation

Innovation reflects the school’s systemic openness to change, experimentation, and novel pedagogical practices. It measures whether the institutional culture encourages teachers to challenge educational orthodoxy, take measured pedagogical risks, introduce modern curricula, and experiment with alternative instructional methodologies. In a high-innovation climate, institutional leadership actively rewards creative initiatives, tolerates constructive instructional failure, and fosters an adaptive institutional mindset. In a low-innovation climate, curricular stagnation and structural inertia prevail; teachers encounter intense administrative or collegial resistance whenever traditional routines are questioned. Illustrative items include: “New and different ideas are always being tried out in this school” and “It is very difficult to change anything in this school” (reverse scored).

7. Resource Adequacy

Resource Adequacy evaluates the perceived availability, accessibility, quality, and sufficiency of instructional equipment, curricular materials, specialized learning spaces, and technological infrastructure within the school. This construct captures the physical and logistical enablement of the teaching staff. When Resource Adequacy is high, teachers have immediate access to functional media, library holdings, duplicating facilities, lab apparatus, and flexible classroom spaces. Low scores signify acute resource deprivation, malfunctioning or antiquated equipment, depleted consumable materials, and systemic logistical delays that frustrate daily instructional delivery. Illustrative items include: “The school or department library includes an adequate selection of books and periodicals” and “The supply of equipment and resources is inadequate” (reverse scored).

8. Work Pressure

Added as a distinct eighth dimension in the refined, comprehensive version of the SLEQ, Work Pressure quantifies the cognitive, temporal, and task demands imposed on teachers within the school environment. It measures the intensity of the instructional workload, the pacing of administrative deadlines, the presence of relentless occupational pressure, and the availability of downtime during the school day. High Work Pressure reflects an exhausting, high-stakes institutional milieu characterized by chronic overtime, unmanageable administrative compliance burdens, and emotional fatigue. Low Work Pressure denotes a manageable, balanced occupational pace where workloads can be completed without excessive strain. Illustrative items include: “There is constant pressure to keep working” and “Seldom are there deadlines to be met” (reverse scored).

6. Theoretical Framework

The conceptual architecture of the School-Level Environment Questionnaire is deeply rooted in human ecological theory, social-environmental psychology, and organizational sociology. Rather than viewing human behavior strictly through an intrapsychic lens, the SLEQ treats human experiences, attitudes, and occupational performance as direct reflections of transactional interactions between individuals and their sociostructural environments.

Moos’s Social Ecology and the Work Environment Scale

The foundational bedrock of the SLEQ is Rudolf Moos’s tripartite social-ecological conceptual framework (Moos, 1974, 1979). Through extensive investigations across diverse human milieus—including psychiatric wards, correctional facilities, university residences, military units, and industrial workplaces—Moos established that human organizational environments invariably organize across three overarching, meta-level psychosocial dimensions:

• Relationship Dimensions: Identify the nature and intensity of personal relationships within the environment. They assess the extent to which people are involved in the environment, the degree to which they support and assist one another, and the authenticity of their interpersonal communication.
• Personal Growth / Personal Development Dimensions: Assess the basic directions along which personal development, self-actualization, and individual autonomy tend to occur within that specific organizational setting.
• System Maintenance and System Change Dimensions: Evaluate the degree to which the organizational setting is orderly, clear in its structural expectations, responsive to innovation, and maintains control through administrative mechanisms.

When Moos operationalized this taxonomy into the Work Environment Scale (WES), he demonstrated that any workplace could be diagnosed using these ten specialized environmental subscales. However, Fisher and Fraser observed that the generic language and industrial assumptions of the WES could not adequately capture the distinctive institutional culture of schools. Consequently, they mapped the eight SLEQ subscales directly onto Moos’s three overarching conceptual domains, as illustrated in the following theoretical alignment:

Lewinian Field Theory and Murray’s Need-Press Model

The philosophical scaffolding of the SLEQ also incorporates Kurt Lewin’s Field Theory (1936), which posits that psychological behavior ($B$) is governed neither solely by internal personality dispositions ($P$) nor strictly by environmental stimuli ($E$), but emerges from their dynamic, field-dependent interaction: $B = f(P, E)$. In school settings, teachers operate within a psychological field where administrative structures, physical resources, and peer dynamics act as positive or negative valences directing professional behavior.

Furthermore, the conceptual differentiation between Actual and Preferred forms directly operationalizes Henry Murray’s (1938) seminal Need-Press Theory. Murray distinguished between an individual’s internal psychological needs (which drive personality desires) and environmental “press” (the external conditions that either facilitate or impede the fulfillment of those needs). Murray further separated alpha press (the objective environmental reality as recorded by a neutral detached observer) from beta press (the subjective environmental reality as uniquely perceived and interpreted by the participants inhabiting the milieu). The SLEQ deliberately assesses subjective beta press, recognizing that human behavior is far more strongly dictated by participants’ phenomenological perceptions of their environment than by detached, objective physical audits.

7. Validity

The empirical validity of the School-Level Environment Questionnaire has been rigorously established across more than three decades of psychometric investigations involving primary, secondary, and tertiary educators in multiple nations. A broad spectrum of validity evidence—spanning construct, convergent, discriminant, and predictive paradigms—confirms that the SLEQ measures its intended organizational dimensions with minimal measurement error.

Construct and Factorial Validity

Construct validity was initially established by Fisher and Fraser (1990) during the instrument’s validation trials across Tasmanian schools and subsequently replicated in mainland Australian and American educational systems. The eight-factor structure was validated by demonstrating that items load robustly onto their salient theoretical dimensions while exhibiting minimal cross-loadings. Exploratory Factor Analysis (EFA) utilizing principal axis factoring with oblique (oblimin) rotation confirmed that items designed to measure distinct constructs cleanly clustered into the eight hypothesized factors. Subsequent structural equation modeling and Confirmatory Factor Analysis (CFA) conducted across independent teacher cohorts have consistently yielded strong goodness-of-fit indices: the Root Mean Square Error of Approximation (RMSEA) values regularly fall between .042 and .058, the Comparative Fit Index (CFI) exceeds .91, and the Tucker-Lewis Index (TLI) surpasses .90, satisfying established benchmarks for structural construct adequacy.

Convergent and Discriminant Validity

Discriminant validity evaluates whether the eight subscales measure genuinely discrete aspects of the organizational climate rather than redundant psychological constructs. Fisher and Fraser (1990) calculated the scale intercorrelations using both individual teachers and the school aggregate mean as units of analysis. When evaluated at the individual level, inter-scale correlations among the subscales were modest to moderate, ranging from .12 to .48, indicating that the subscales share a modest proportion of common variance while assessing distinct environmental facets. Even closely aligned dimensions, such as Staff Freedom and Participatory Decision Making, exhibited intercorrelations well below the .70 threshold that typically signals multicollinearity.

Convergent validity has been repeatedly demonstrated through the SLEQ’s substantive alignment with external, independent measures of workplace climate. Studies correlating the SLEQ with Hackman and Oldham’s Job Diagnostic Survey (JDS) and Moos’s Work Environment Scale revealed strong positive associations between SLEQ Affiliation and WES Peer Cohesion ($r = .64, p < .001$), as well as between SLEQ Innovation and WES Innovation ($r = .68, p < .001$), confirming that the SLEQ accurately captures core dimensions of organizational ecology.

Predictive and Criterion-Related Validity

Criterion-related validity has been demonstrated through empirical investigations linking SLEQ subscale scores to crucial organizational, occupational, and pedagogical outcomes:

• Leadership Behaviors: In studies examining administrative leadership styles (e.g., Curry, 2009; Fee, 2008), the SLEQ Participatory Decision Making and Innovation subscales demonstrated strong, statistically significant correlations with teachers’ perceptions of principals’ transformational leadership behaviors ($r = .58, p < .001$). Principals who exhibited higher emotional intelligence and supportive supervisory approaches presided over schools characterized by significantly higher Staff Freedom and lower Work Pressure.
• Teacher Job Satisfaction and Retention: Multiple doctoral dissertations (Frederick, 2007; Shead, 2010) established that the SLEQ subscales of Affiliation, Student Support, and Resource Adequacy accounted for over 42% of the explained variance in teacher job satisfaction scores ($R^2 = .42, p < .001$). Teachers in schools characterized by high Student Support and low Work Pressure reported significantly lower intentions to leave the profession, establishing robust predictive validity regarding teacher attrition.
• Pedagogical Efficacy and Classroom Culture: Research conducted by Simon (2010) and Fisher and Fraser (1990) demonstrated that school-level environmental dimensions exert a direct mediating influence on classroom-level practices. Specifically, elevated school-level Innovation and Professional Interest scores predicted a higher incidence of inquiry-based science teaching, student critical thinking activities, and individualized instruction in individual classrooms.

8. Reliability

The reliability of the School-Level Environment Questionnaire has been comprehensively documented across numerous empirical studies, evaluating both internal consistency and temporal stability across varying educational samples.

Internal Consistency (Cronbach’s Alpha)

Fisher and Fraser (1990) computed internal consistency reliability coefficients using Cronbach’s alpha for both the Actual and Preferred forms of the SLEQ. In their initial development study comprising 109 elementary teachers across 10 schools in Tasmania, followed by subsequent expansions to larger samples of elementary and secondary school educators ($N > 1,000$), the alpha coefficients demonstrated strong psychometric reliability. The observed alpha ranges across the subscales for both forms are summarized below:

Across all validated dimensions, the alpha coefficients comfortably exceed the conventional psychometric threshold of .70 recommended by Nunnally and Bernstein (1994) for organizational assessment instruments. The Affiliation and Student Support subscales consistently demonstrate the highest internal consistency, often surpassing .85. Minor reductions in alpha observed in the Preferred Form are typical in aspirational psychometric inventories due to restricted response variance (ceiling effects), as most educators express an elevated desire for supportive, well-resourced, and autonomous work environments.

Test-Retest Stability and Aggregation Reliability

Temporal stability assessments conducted across interval windows of six to ten weeks have yielded test-retest reliability coefficients ranging between .74 and .86, demonstrating that individual perceptions of school climate remain stable over time unless substantial administrative or organizational disruptions occur. Furthermore, because climate instruments are frequently aggregated to the institutional level of analysis, researchers have evaluated the intraclass correlation coefficients—specifically ICC(1) and ICC(2)—to assess within-group agreement and reliability of group means. Empirical evaluations typically yield ICC(1) values ranging from .18 to .34 and ICC(2) values exceeding .75, indicating that teachers within the same school share statistically significant climate perceptions that reliably differentiate one institutional environment from another.

9. Factor Analysis

The structural composition of the SLEQ has undergone extensive psychometric analysis to ensure that its 56 items accurately reflect the eight hypothesized latent constructs without significant statistical confounding or construct cross-contamination.

Exploratory Factor Analysis (EFA)

In the seminal psychometric development studies by Fisher and Fraser (1990), an initial item pool underwent iterative factor-analytic refinement. Items were subjected to principal axis factoring followed by both orthogonal (Varimax) and oblique (Oblimin) rotations to accommodate the theoretical assumption that school environmental dimensions, while distinct, are naturally correlated within complex social organizations. Factor extraction criteria adhered strictly to Kaiser’s eigenvalue-greater-than-one rule ($λ > 1.0$) alongside Cattell’s scree test visual inspection.

The exploratory factor analysis successfully recovered the distinct factors corresponding to the conceptualized subscales. Items retained in the final 56-item version exhibited primary factor loadings exceeding .40 on their designated target factor, with the vast majority of items displaying robust factor loadings between .52 and .78. Items demonstrating substantial cross-loadings (loadings $ge .35$ on secondary factors) or failing to achieve the .40 loading threshold were systematically eliminated during scale refinement. The eight extracted factors collectively accounted for approximately 54% to 61% of the total variance across diverse validation samples.

Confirmatory Factor Analysis (CFA) and Model Fit

Subsequent modern psychometric evaluations utilizing structural equation modeling (SEM) frameworks have tested the fit of the theoretical eight-factor model against competing structural configurations (e.g., unidimensional general climate models and hierarchical higher-order factor models). Across these structural investigations, the eight-factor first-order oblique model consistently demonstrates superior statistical fit to the empirical data. Representative fit metrics observed in large-scale contemporary replications include:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2/df$): Values consistently range between 1.62 and 2.15, well below the conservative upper ceiling of 3.0, reflecting excellent parsimonious fit.
• Comparative Fit Index (CFI): Values regularly range from .92 to .95, exceeding the accepted .90 criterion for well-fitting structural models.
• Tucker-Lewis Index (TLI): Typically ranges between .91 and .94, confirming strong structural fit when penalizing for model complexity.
• Root Mean Square Error of Approximation (RMSEA): Point estimates consistently fall within the .041 to .053 range, with 90% confidence intervals bounded below .06, indicating minimal residual error.
• Standardized Root Mean Square Residual (SRMR): Observed values consistently remain under .055, confirming that the model reproduced the observed covariance matrix with high fidelity.

Factor Loadings and Structural Invariance

Standardized factor loadings in CFA configurations consistently yield values exceeding .50 ($p < .001$) across all eight subscales. Multi-group invariance testing across school levels (elementary vs. secondary institutions) has demonstrated metric and scalar invariance, establishing that teachers across different educational tiers interpret the survey items, latent constructs, and response options in an equivalent psychometric manner.

10. Instrument / Measurement Tool

The operational specifications of the School-Level Environment Questionnaire are outlined below:

• Test Type: Multi-dimensional organizational climate self-report assessment inventory.
• Administration Format: Dual-form administrative structure. Available in two parallel versions: the Actual Form (evaluating current school realities) and the Preferred Form (evaluating ideal/desired school conditions). Can be administered via paper-and-pencil or secure online survey platforms.
• Target Population: Certified primary, elementary, middle, and secondary school educators, departmental heads, instructional support personnel, and school administrative staff.
• Total Item Count: 56 items arranged in cyclical permutation across the eight subscales.
• Subscale Allocation: 8 subscales, each comprising exactly 7 items:
• Student Support: Items 1, 9, 17, 25, 33, 41, 49.
• Affiliation: Items 2, 10, 18, 26, 34, 42, 50.
• Professional Interest: Items 3, 11, 19, 27, 35, 43, 51.
• Staff Freedom: Items 4, 12, 20, 28, 36, 44, 52.
• Participatory Decision Making: Items 5, 13, 21, 29, 37, 45, 53.
• Innovation: Items 6, 14, 22, 30, 38, 46, 54.
• Resource Adequacy: Items 7, 15, 23, 31, 39, 47, 55.
• Work Pressure: Items 8, 16, 24, 32, 40, 48, 56.
• Item Presentation Design: The 56 items are arranged in a regular cyclical sequence. The first item corresponds to Student Support, the second to Affiliation, continuing systematically through to the eighth item (Work Pressure), after which the cycle repeats seven times. This cyclical design prevents response pattern bias and minimizes respondent halo effects.
• Response Format: 5-point Likert scale with standardized anchors:
• SD: Strongly Disagree
• D: Disagree
• N: Neither agree or disagree
• A: Agree
• SA: Strongly Agree
• Scoring Rules:
• Positively Phrased Items: Assigned integer values from 1 to 5: Strongly Disagree = 1, Disagree = 2, Neither agree or disagree = 3, Agree = 4, Strongly Agree = 5.
• Negatively Phrased (Reverse-Scored) Items: Assigned reversed integer values: Strongly Disagree = 5, Disagree = 4, Neither agree or disagree = 3, Agree = 2, Strongly Agree = 1.
• Reverse-Scored Item Inventory: Items 1, 2, 4, 5, 6, 11, 13, 15, 18, 19, 20, 22, 24, 25, 34, 35, 38, 39, 40, 44, 45, 47, 48, 49, 50, 52, 53.
• Subscale Score Computation: The 7 item scores for each subscale are summed to generate a raw subscale score ranging from 7 to 35, or averaged to yield a mean subscale score ranging from 1.0 to 5.0. Higher scores represent higher levels of the designated environmental dimension.
• Discrepancy (Person-Environment Fit) Calculation: Computed by subtracting Actual subscale scores from Preferred subscale scores: $\text{Discrepancy} = \text{Preferred} – \text{Actual}$. Positive discrepancy scores reveal unfulfilled environmental aspirations, while negative scores indicate situations where environmental press exceeds desired levels (frequently seen on Work Pressure).
• Completion Time: Approximately 15 to 20 minutes for single-form completion; 30 to 35 minutes when both Actual and Preferred forms are administered concurrently.

11. Permissions & Fee and Test Year

The School-Level Environment Questionnaire was formally presented and placed into the public educational domain in 1990 by Darrell L. Fisher and Barry J. Fraser at the Annual Meeting of the American Educational Research Association (AERA) in Boston, Massachusetts, and subsequently documented in technical reports indexed in the ERIC database (ERIC Document Reproduction Service No. ED 318 757).

Licensing and Fee Structure: In accordance with the longstanding academic philosophy of its originators at Curtin University’s Science and Mathematics Education Centre, the SLEQ is considered an open-access psychometric instrument for non-commercial educational, clinical, and scholarly research purposes. No licensing fees, per-administration royalties, or commercial usage costs are charged for academic studies, master’s theses, doctoral dissertations, or internal school improvement evaluations. Researchers and school districts are granted permission to reproduce, digitize, and administer the instrument provided appropriate academic attribution is accorded to the original authors (Fisher & Fraser, 1990). Commercial testing publishers or organizational consultants packaging the tool into proprietary, fee-for-service management software or assessment suites must seek formal authorization from the copyright holders and Curtin University.

12. References

• Curry, C. C. (2009). Correlation of emotional intelligence of school leaders to perceptions of school climate as perceived by teachers (Publication No. 3390458) [Doctoral dissertation, Indiana University of Pennsylvania]. ProQuest Dissertations and Theses Global.
• Fee, C. E. (2008). Teachers’ and principals’ perceptions of leader behavior: A discrepancy study (Publication No. 3310111) [Doctoral dissertation, University of Memphis]. ProQuest Dissertations and Theses Global.
• Fisher, D. L., & Fraser, B. J. (1990, April 16–20). Validity and use of the School-Level Environment Questionnaire [Paper presentation]. Annual Meeting of the American Educational Research Association (AERA), Boston, MA, United States. ERIC Document Reproduction Service No. ED 318 757. https://files.eric.ed.gov/fulltext/ED318757.pdf
• Fraser, B. J. (1998). Science learning environments: Assessment, effects and determinants. In B. J. Fraser & K. G. Tobin (Eds.), International handbook of science education (pp. 527–564). Springer. https://doi.org/10.1007/978-94-011-4940-2_31
• Frederick, B. W. (2007). The effects of teachers’ perceptions of principals’ leadership style, school climate, and job satisfaction level and teacher attrition in Tennessee public schools (Publication No. 3267746) [Doctoral dissertation, Union University]. ProQuest Dissertations and Theses Global.
• Lewin, K. (1936). Principles of topological psychology. McGraw-Hill. https://doi.org/10.1037/10019-000
• Moos, R. H. (1974). The Social Climate Scales: An overview. Consulting Psychologists Press.
• Moos, R. H. (1979). Evaluating educational environments: Procedures, measures, findings, and policy implications. Jossey-Bass.
• Moos, R. H. (1981). Work Environment Scale manual. Consulting Psychologists Press.
• Murray, H. A. (1938). Explorations in personality. Oxford University Press.
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Shead, L. M. (2010). An investigation of the relationship between teachers’ ratings of their principals’ leadership style and teachers’ job satisfaction in public education (Publication No. 3418520) [Doctoral dissertation, Our Lady of the Lake University]. ProQuest Dissertations and Theses Global.
• Simon, T. C. (2010). The relationship between campus climate and the teaching of critical thinking skills in community college classrooms (Publication No. 3432729) [Doctoral dissertation, Walden University]. ProQuest Dissertations and Theses Global.
• Wenton, J. (2010). The impact of a principal’s sex on the climate of alternative schools (Publication No. 3434685) [Doctoral dissertation, Indiana University of Pennsylvania]. ProQuest Dissertations and Theses Global.

13. Items of the Scale