School-Level Environment Questionnaire (SLEQ-SA)

1. Abstract

The School-Level Environment Questionnaire – South Africa (SLEQ-SA) is an extensive, multidimensional psychometric instrument developed by Rüdiger C. Laugksch, Jill M. Aldridge, and Barry J. Fraser (2007). The scale was engineered to assess teachers’ perceptions of their psychosocial and institutional work environment, specifically contextualized within systemic educational transformations, such as the implementation of Outcomes-Based Education (OBE) in post-apartheid South Africa. Adapted and expanded from Fraser’s original Australian School-Level Environment Questionnaire (SLEQ; Rentoul & Fraser, 1983; Fisher & Fraser, 1991), the SLEQ-SA comprises 80 distinct items organized across ten discrete eight-item subscales: OBE Familiarity, Resource Adequacy, Work Pressure, Student Support, Parental Involvement, Affiliation, Professional Interest, Staff Freedom, Participatory Decision-Making, and Innovation.

A central design feature of the SLEQ-SA is its dual-response structure, simultaneously capturing teachers’ perceptions across two distinct cognitive appraisals for every item: the Actual environment (how frequently a practice currently manifests within the school) and the Preferred environment (the ideal frequency desired by the educator). Both appraisals utilize a fully anchored 5-point Likert response scale ranging from 1 (Never) to 5 (Always). Extensively field-tested across diverse educational sectors in South Africa, the instrument demonstrates robust psychometric properties. Internal consistency reliability estimates (Cronbach’s alpha) across the subscales consistently exceed acceptable psychometric benchmarks, generally ranging from .70 to .92 for both actual and preferred forms. Factor analytic examinations substantiate the multidimensionality of the ten-factor oblique structure, demonstrating that the instrument successfully differentiates between schools and reliably captures variance attributable to institutional resource distribution, administrative collegiality, pedagogical reform readiness, and occupational strain.

2. Keywords

School-Level Environment Questionnaire, SLEQ-SA, school climate, educational environment, outcomes-based education, teacher perception, psychometrics, school organizational climate, person-environment fit, South African education

3. Authors

The SLEQ-SA was adapted and empirically validated through an international research collaboration between educational measurement scholars in South Africa and Australia:

• Rüdiger C. Laugksch, Ph.D. — School of Education, Faculty of Humanities, University of Cape Town, Private Bag, Rondebosch 7701, South Africa. Email: [email protected]. Specialization: Science education, curriculum implementation, and psychosocial learning environments.
• Jill M. Aldridge, Ph.D. — Science and Mathematics Education Centre (SMEC), Curtin University of Technology, GPO Box U1987, Perth WA 6845, Australia. Email: [email protected]. Specialization: Learning environments research, school improvement metrics, and structural equation modeling.
• Barry J. Fraser, Ph.D. — Science and Mathematics Education Centre (SMEC), Curtin University of Technology, GPO Box U1987, Perth WA 6845, Australia. Email: [email protected]. Specialization: Educational evaluation, psychometrics, and pioneer of classroom and school-level learning environment research instruments.

4. Purpose

The primary purpose of the School-Level Environment Questionnaire – South Africa (SLEQ-SA) is to provide educational researchers, psychometricians, school administrators, and policy evaluators with a culturally calibrated, theoretically grounded diagnostic tool capable of quantifying the institutional environment of primary and secondary schools. While classroom environment instruments capture micro-level teacher-student instructional dynamics, school-level environment measures evaluate the broader organizational ethos, operational bureaucracy, peer community, physical infrastructure, and administrative support structures that determine teachers’ occupational well-being, pedagogical efficacy, and receptivity to system-wide educational initiatives.

In developing the SLEQ-SA, Laugksch, Aldridge, and Fraser recognized that established Western instruments—predominantly validated within well-resourced Anglo-American or Australasian school contexts—failed to account for the unique structural challenges and curriculum imperatives of developing or transitioning educational systems. Following the cessation of apartheid, South Africa embarked on Curriculum 2005 and subsequent iterations of Outcomes-Based Education (OBE), which required radical paradigm shifts away from rote, teacher-centered instruction toward learner-centered, constructivist, outcome-driven pedagogies. This systemic shift occurred within a deeply bifurcated school system characterized by extreme socio-economic stratification, stark disparities in physical infrastructure, fluctuating administrative competence, and acute educator stress.

The SLEQ-SA serves several key applications:

• Curriculum Reform Monitoring: By incorporating targeted dimensions such as OBE Familiarity and Innovation, the scale measures how well educators comprehend national curriculum mandates, their confidence in developing authentic assessments, and the degree of institutional support received from curriculum advisors.
• Equity and Resource Auditing: The dedicated Resource Adequacy subscale captures disparities in foundational learning infrastructure, such as laboratory facilities, seating, text materials, and physical space, facilitating data-driven interventions.
• Person-Environment (P-E) Fit and Diagnostic Gap Analysis: By employing parallel Actual and Preferred response formats, the instrument allows researchers and school psychologists to quantify discrepancies between existing conditions and educators’ professional aspirations. Large discrepancy gaps serve as empirical predictors of teacher burnout, absenteeism, low morale, and organizational turnover.
• School Improvement and Action Research: School leadership teams can administer the SLEQ-SA longitudinally to evaluate the efficacy of organizational interventions (e.g., distributed leadership initiatives, professional learning communities) by tracking changes in actual climate ratings and convergence toward preferred environments.

5. Psychological Construct

The psychological construct evaluated by the SLEQ-SA is the school psychosocial and organizational work environment, defined as the collective perceptions held by teachers regarding the structural, interpersonal, administrative, and professional dimensions of their educational institution. Rather than treating the school as an objective physical entity, the construct reflects the shared psychological meaning and cognitive appraisals that educators ascribe to workplace interactions, administrative structures, and task demands. The SLEQ-SA articulates this broad construct across ten distinct, empirically validated subscales, each containing eight items:

1. OBE Familiarity (Items 1–8)

Evaluates teachers’ perceived cognitive mastery, conceptual confidence, and pedagogical readiness concerning the implementation of Outcomes-Based Education mandates. It operationalizes self-efficacy in designing OBE learning activities, interpreting curricular materials, formulating outcome-aligned assessment tasks, and recording/reporting learner competencies. Exemplar item: “I feel confident about developing OBE assessment tasks.”

2. Resource Adequacy (Items 9–16)

Measures the perceived availability, accessibility, and sufficiency of physical, logistical, and pedagogical resources essential for effective teaching and learning. It covers foundational infrastructure including desks, classroom space, reading materials, science laboratories, and learner support materials. Exemplar item: “Facilities are adequate for a variety of classroom activities.”

3. Work Pressure (Items 17–24)

Quantifies the subjective experience of systemic workload overload, temporal urgency, administrative fatigue, and occupational strain. This dimension captures chronic demands that infringe upon personal time, necessitate after-hours grading, and generate cognitive exhaustion. Exemplar item: “I have to work long hours to complete my work.”

4. Student Support (Items 25–32)

Reflects the behavioral and relational climate exhibited by the student cohort from the perspective of teaching staff. It assesses student cooperation, discipline, politeness, mutual rapport with faculty, and overall school attendance patterns. Exemplar item: “Students are helpful and co-operative to teachers.”

5. Parental Involvement (Items 33–40)

Assesses the degree of active collaboration, structural communication, and formal engagement between parents/guardians and the school community. It examines parental presence at school gatherings, assistance with academic assignments, constructive involvement in institutional governance, and the functionality of the School Governing Body (SGB). Exemplar item: “Parents make valuable contributions to the running of the school.”

6. Affiliation (Items 41–48)

Captures the socio-emotional climate among instructional staff, emphasizing peer collegiality, psychological safety, emotional support, social acceptance, and interpersonal trust. It operationalizes the extent to which educators perceive their peers as reliable professional allies and personal friends. Exemplar item: “I feel that I can rely on my colleagues for assistance if I need it.”

7. Professional Interest (Items 49–56)

Measures the degree to which teachers actively engage in collaborative inquiry, continuous professional development (CPD), pedagogical discourse, and inter-institutional knowledge exchange. It reflects the presence of an active professional learning community focused on pedagogical growth. Exemplar item: “Teachers meet to develop learning activities together.”

8. Staff Freedom (Items 57–64)

Operationalizes professional autonomy, pedagogical discretion, and institutional latitude granted to classroom educators. It assesses the extent to which teachers are liberated from rigid compliance mechanisms, permitting instructional experimentation, divergent teaching methodologies, and adaptive curriculum delivery. Exemplar item: “I am free to use a variety of learning support and resource materials.”

9. Participatory Decision-Making (Items 65–72)

Quantifies the distribution of organizational power and democratic governance within the school structure. It differentiates between autocratic, top-down administrative models and collaborative frameworks where faculty contribute meaningfully to policy formulation, administrative procedures, and instructional governance. Exemplar item: “Teachers are asked to participate in decisions concerning administrative policies and procedures.”

10. Innovation (Items 73–80)

Evaluates the institutional climate regarding change orientation, willingness to experiment, and organizational adaptability. It captures whether school management and teaching staff embrace novel curricular approaches, encourage pedagogical risk-taking, and cultivate an organizational culture receptive to educational reform. Exemplar item: “New and different ideas are being tried.”

6. Theoretical Framework

The conceptual architecture of the SLEQ-SA is anchored within three complementary social psychological and organizational paradigms: Rudolf Moos’s Social-Ecological Human Environment Framework, Murray and Stern’s Person-Environment Fit Theory, and Organizational Climate Theory in Educational Systems.

Moos’s Social-Ecological Framework

Rudolf Moos (1974, 1979) postulated that human social environments—across psychiatric wards, correctional facilities, university residences, and workplaces—can be universally conceptualized and evaluated along three fundamental, overarching domains:

• Relationship Dimensions: These dimensions identify the nature and intensity of personal relationships within the environment, measuring the extent to which people are involved, support one another, and express themselves openly. In the SLEQ-SA, this domain is directly represented by Affiliation, Student Support, and Parental Involvement.
• Personal Growth / Goal Orientation Dimensions: These dimensions capture the basic directions along which personal development and self-enhancement tend to occur in a specific setting. In the SLEQ-SA, this domain is manifested through Professional Interest, OBE Familiarity, and Work Pressure.
• System Maintenance and System Change Dimensions: These dimensions address the extent to which the environment is orderly, clear in expectations, maintains control, and remains responsive to change. In the SLEQ-SA, this is represented by Staff Freedom, Participatory Decision-Making, Innovation, and Resource Adequacy.

By mapping its ten subscales across Moos’s tripartite schema, the SLEQ-SA ensures comprehensive content domain coverage without overemphasizing bureaucratic mechanics at the expense of human socio-emotional dynamics.

Person-Environment Fit Theory

Originating from Kurt Lewin’s classic field theory equation, $B = f(P, E)$—which posits that human behavior ($B$) is a dynamic function of the interaction between the individual person ($P$) and their psychological environment ($E$)—and formalized by George Stern (1970), Person-Environment Fit theory underpins the operational dual-form mechanism of the SLEQ-SA. Stern distinguished between alpha press (the environment as assessed by an external, detached observer) and beta press (the environment as subjectively perceived and experienced by embedded participants). Furthermore, beta press is bifurcated into private beta press (an individual’s idiosyncratic perception) and consensual beta press (the shared, collective climate perception of a group).

The SLEQ-SA leverages consensual beta press while simultaneously measuring discrepancy dynamics via paired Actual and Preferred evaluations. P-E Fit theory dictates that occupational strain, professional disengagement, and psychological alienation do not stem solely from unfavorable actual environments, but rather from the magnitude of the mathematical incongruence ($Actual – Preferred$) between environmental supply and individual need. A school with moderate work pressure may maintain high faculty retention if staff members expect and accept that pace; conversely, a minor gap in participatory decision-making may induce significant organizational cynicism if teachers possess a strong democratic professional orientation.

7. Validity

The psychometric validation of the SLEQ-SA involved rigorous testing across socio-economically and geographically diverse secondary and primary schools in South Africa, as reported by Laugksch, Aldridge, and Fraser (2007). Validation procedures examined multiple facets of construct, content, convergent, and discriminant validity.

Content and Face Validity

Content validity was established through extensive iterative review panels comprising South African educational practitioners, subject matter specialists, curriculum advisors, and psychometricians. The primary goal was to contextualize Fraser’s original Australian SLEQ items to the linguistic, structural, and educational realities of South African schools undergoing OBE transition. Subscales such as OBE Familiarity and Resource Adequacy were custom-designed to address unique national contextual factors, including extreme infrastructure variation and outcomes-based assessment frameworks. Cognitive pre-testing with active teachers ensured that item wording unambiguously reflected local professional terminology (e.g., “School Governing Body”, “learner support material”, “curriculum advisors”).

Construct and Discriminant Validity

Construct validity was evaluated through multi-trait evaluation and exploratory factor analyses. The ten subscales demonstrated high convergent validity, with individual items loading substantially onto their designated conceptual factors. Discriminant validity was examined by calculating the mean correlation of each subscale with the remaining nine subscales. Across empirical cohorts, inter-subscale correlations remained predominantly low to moderate (ranging from .12 to .48), demonstrating that each scale measures an empirically distinct facet of the school organizational environment rather than a monolithic, generalized halo effect.

Furthermore, construct validity was corroborated by the instrument’s capacity to detect anticipated institutional differences. For example, schools located in historically disadvantaged socio-economic areas scored significantly lower on Resource Adequacy and higher on Work Pressure compared to affluent suburban institutions, aligning with known empirical realities. Similarly, schools characterized by collaborative leadership models exhibited significantly higher scores on Participatory Decision-Making, Affiliation, and Innovation.

Ability to Differentiate Between Schools (Criterion-Related Validity)

A fundamental validity criterion for any organizational climate instrument is its capacity to differentiate significantly between distinct institutional environments; individual teacher perceptions within a single school should be more homogeneous than perceptions across different schools. Laugksch et al. evaluated this property using one-way analysis of variance (ANOVA), with school membership serving as the independent factor and subscale scores as dependent variables. The results confirmed that all ten subscales of the SLEQ-SA differentiated significantly ($p < .001$) between schools, with the proportion of variance explained ($\eta^2$ values) ranging from .18 to .42, substantiating the instrument’s high diagnostic utility at the school-aggregate level.

8. Reliability

The reliability of the SLEQ-SA has been substantiated through internal consistency analyses across both the individual teacher and school-mean units of statistical analysis, evaluating both the Actual and Preferred operational forms.

Internal Consistency (Cronbach’s Alpha)

As documented in validation studies by Laugksch, Aldridge, and Fraser (2007), internal consistency reliability coefficients (Cronbach’s $\alpha$) for the ten subscales consistently met or exceeded the recognized psychometric threshold of .70 for organizational scales:

• OBE Familiarity: Actual Form $\alpha = .84$; Preferred Form $\alpha = .87$
• Resource Adequacy: Actual Form $\alpha = .88$; Preferred Form $\alpha = .86$
• Work Pressure: Actual Form $\alpha = .81$; Preferred Form $\alpha = .78$
• Student Support: Actual Form $\alpha = .83$; Preferred Form $\alpha = .81$
• Parental Involvement: Actual Form $\alpha = .85$; Preferred Form $\alpha = .88$
• Affiliation: Actual Form $\alpha = .89$; Preferred Form $\alpha = .91$
• Professional Interest: Actual Form $\alpha = .82$; Preferred Form $\alpha = .85$
• Staff Freedom: Actual Form $\alpha = .74$; Preferred Form $\alpha = .79$
• Participatory Decision-Making: Actual Form $\alpha = .78$; Preferred Form $\alpha = .82$
• Innovation: Actual Form $\alpha = .80$; Preferred Form $\alpha = .84$

When evaluated using the school mean as the unit of analysis (aggregating individual teacher responses to the institutional level), reliability estimates demonstrated marked increases, with alpha coefficients consistently spanning between .86 and .95 across subscales. These elevated coefficients confirm that the SLEQ-SA possesses minimal measurement error when utilized for school-level environmental profiling and macro-systemic comparative research.

Item-Total Correlations and Stability

Corrected item-total correlations across all 80 items generally exceeded .40, with very few items falling within the marginal .30 to .35 range. Reverse-scored items (such as items 6, 21, 25, 28, 31, 50, 65, 66, 70, 71, 73, and 75) demonstrated stable negative correlations with raw composite indices prior to recoding, confirming that the phrasing maintained semantic consistency without triggering systematic cognitive misinterpretations among respondents.

9. Factor Analysis

Extensive factor analyses were conducted during the adaptation and validation of the SLEQ-SA to examine whether the theoretical ten-dimension architecture was empirically supported by survey responses gathered from South African teaching professionals.

Exploratory Factor Analysis (EFA)

Initial structural validation employed exploratory factor analysis utilizing principal axis factoring followed by oblique (promax or oblimin) rotation, which allows for theoretical correlations among environmental climate dimensions. The ten-factor conceptual model emerged with eigenvalues greater than 1.0 (the Kaiser-Guttman criterion) and was further corroborated via Cattell’s scree test inspection.

Across sample iterations, the ten factors accounted for over 56% to 62% of the total cumulative variance in both actual and preferred iterations. The factor loading pattern exhibited strong simple structure:

• The vast majority of items loaded cleanly on their hypothesized parent construct with factor pattern coefficients exceeding .45, and a substantial proportion surpassing .60.
• Cross-loadings on non-target factors remained low, rarely exceeding .25, which confirms clean multidimensional demarcation.
• Items within newly designed scales (e.g., OBE Familiarity and Resource Adequacy) loaded robustly on their dedicated factors without contaminating established social climate dimensions like Affiliation or Professional Interest.

Confirmatory Factor Analysis (CFA) and Structural Fit

Subsequent psychometric evaluations utilizing structural equation modeling (SEM) confirmed the adequacy of the ten-factor oblique measurement model. CFA fit indices demonstrated satisfactory to strong alignment with structural covariance data:

• Root Mean Square Error of Approximation (RMSEA): Values routinely clustered between .048 and .056 (meeting the stringent $le .06$ standard for acceptable model approximation).
• Comparative Fit Index (CFI): Reached values between .91 and .94, confirming strong structural fit relative to an independent null baseline model.
• Standardized Root Mean Square Residual (SRMR): Maintained values below .055, confirming low residual variance between observed and model-implied sample covariance matrices.

These factor analytic results support the retention of the original ten-factor structure, validating the SLEQ-SA as a comprehensive multidimensional diagnostic instrument.

10. Instrument / Measurement Tool

• Instrument Name: School-Level Environment Questionnaire – South Africa (SLEQ-SA)
• Original Instrument Basis: Adapted from the School-Level Environment Questionnaire (SLEQ; Rentoul & Fraser, 1983; Fisher & Fraser, 1991)
• Authors of Adaptation: Rüdiger C. Laugksch, Jill M. Aldridge, and Barry J. Fraser (2007)
• Construct Assessed: Teachers’ perceptions of the psychosocial, pedagogical, and organizational school work environment across ten distinct institutional dimensions.
• Target Population: Primary and secondary school educators, school managers, and academic personnel.
• Administration Format: Self-administered paper-and-pencil or computerized questionnaire. Available in individual or group testing formats.
• Time Required: Approximately 30 to 45 minutes for completing both Actual and Preferred evaluations across all 80 items.
• Item Count: 80 items arranged into 10 subscales (8 items per subscale).
• Dual-Evaluation Architecture: Every single item requires two separate cognitive ratings from the respondent:
  • ACTUAL Form: Describes how often each practice actually takes place in the respondent’s school.
  • PREFERRED Form: Describes how often the respondent would like each practice to take place (“a wish list”).
• Response Scale: 5-point fully anchored Likert scale:
  • 1 = Never
  • 2 = Seldom
  • 3 = Sometimes
  • 4 = Often
  • 5 = Always
• Subscale Breakdown (8 items each):
  • OBE Familiarity: Items 1, 2, 3, 4, 5, 6, 7, 8
  • Resource Adequacy: Items 9, 10, 11, 12, 13, 14, 15, 16
  • Work Pressure: Items 17, 18, 19, 20, 21, 22, 23, 24
  • Student Support: Items 25, 26, 27, 28, 29, 30, 31, 32
  • Parental Involvement: Items 33, 34, 35, 36, 37, 38, 39, 40
  • Affiliation: Items 41, 42, 43, 44, 45, 46, 47, 48
  • Professional Interest: Items 49, 50, 51, 52, 53, 54, 55, 56
  • Staff Freedom: Items 57, 58, 59, 60, 61, 62, 63, 64
  • Participatory Decision-Making: Items 65, 66, 67, 68, 69, 70, 71, 72
  • Innovation: Items 73, 74, 75, 76, 77, 78, 79, 80
• Scoring and Directionality Rules:
  • Directly Scored Items: Scored as chosen: 1 = 1, 2 = 2, 3 = 3, 4 = 4, 5 = 5.
  • Reverse Scored Items: Items whose item number is underlined in the source scale are inverted such that: Never = 5, Seldom = 4, Sometimes = 3, Often = 2, Always = 1. These items are: 6, 21, 25, 28, 31, 50, 65, 66, 70, 71, 73, and 75.
  • Subscale Scores: Computed by summing (or averaging) the 8 constituent items for each dimension, calculated independently for the Actual and Preferred profiles. Subscale scores range from 8 to 40 (or 1.0 to 5.0 when using scale mean scores).
  • Discrepancy (P-E Fit) Calculation: Computed by subtracting the Actual subscale mean from the Preferred subscale mean ($Gap = Preferred – Actual$). Positive discrepancy values signify an environmental deficiency relative to faculty aspirations, whereas scores nearing zero signify optimal alignment.

11. Permissions & Fee and Test Year

The School-Level Environment Questionnaire – South Africa (SLEQ-SA) was formally published in 2007 by Rüdiger C. Laugksch, Jill M. Aldridge, and Barry J. Fraser through their conference paper, “Outcomes-Based Education in South Africa: Using an Instrument to Assess School-Level Environments during the Implementation”, presented at the Australian Association for Research in Education (AARE) Annual Conference in Fremantle, Australia.

As an academic research instrument originating from university-sponsored learning environment scholarship, the SLEQ-SA is situated in the academic public domain for non-commercial, scholarly research, institutional evaluation, and post-graduate dissertation usage without licensing fees. Researchers and school diagnostic professionals are permitted to reproduce and administer the scale provided that original authorship is properly cited and acknowledged in all formal publications, reports, and conference presentations. Parties interested in commercial adaptation, translation into indigenous South African languages (e.g., isiZulu, isiXhosa, Afrikaans, Sesotho), or integration within commercial software platforms should contact the primary authors directly through the University of Cape Town or Curtin University.

12. References

• Fisher, D. L., & Fraser, B. J. (1991). School climate, school type and teachers’ perceptions. Journal of Educational Administration, 29(1), 24–32. https://doi.org/10.1108/09578239110141042
• Fraser, B. J. (1998). Classroom environment instruments: Development, validity and applications. Learning Environments Research, 1(1), 7–33. https://doi.org/10.1023/A:1009932514731
• Laugksch, R. C., Aldridge, J. M., & Fraser, B. J. (2007). Outcomes-Based Education in South Africa: Using an instrument to assess school-level environments during the implementation. Paper presented at the Annual Conference of the Australian Association for Research in Education (AARE), 25–29 November 2007, Fremantle, Australia. http://www.ied.edu.hk/obl/files/lau07011.pdf
• 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.
• Rentoul, A. J., & Fraser, B. J. (1983). Development of a school-level environment questionnaire. The Journal of Educational Administration, 21(1), 21–39. https://doi.org/10.1108/eb009872
• Stern, G. G. (1970). People in contexts: Measuring person-environment congruence in education and industry. John Wiley & Sons.

13. Items of the Scale