Preliminary development of a revised version of the School Climate Measure.

The School Climate Measure (SCM) was developed and preliminarily validated in 2010 and extended upon in 2013 in response to a dearth of psychometrically sound school climate instruments. This study sought to further validate the SCM on a large diverse sample of Arizona public school adolescents (N = 1,643) with two new domains. The eight original SCM domains (Positive Student-Teacher Relationships, School Connectedness, Academic Support, Order and Discipline, Physical Environment, Social Environment, Perceived Exclusion, and Academic Satisfaction) and two newly developed domains (Parental Involvement and Opportunities for Student Engagement) were subjected to psychometric analysis. The sample was randomly split into exploratory and confirmatory halves and subjected to factor analytic and structural equation modeling techniques. Factor analysis confirmed a 10-factor solution (loadings with absolute values > .40). Item factor loadings ranged from .47 to .95. Coefficient alphas ranged from .70 to .92. Fit statistics indicated a good fitting model (χ2 = 1452.67 [df = 734, p < .01], CFI = .94, TLI = .93, RMSEA = .039). This process eliminated some original SCM items, but the overall SCM increased only from 39 to 42 items with the newly developed domains. This investigation adds to the existing evidence for the SCM and offers support for a more comprehensive version of the SCM. The addition of the Parental Involvement and Opportunities for Student Engagement domains should further enhance the usefulness of the SCM. The SCM can facilitate data-driven decisions and may be incorporated into evidenced-based processes designed to improve important student learning and well-being outcomes.

Psychometric support of the school climate measure in a large, diverse sample of adolescents: a replication and extension.

BACKGROUND: The School Climate Measure (SCM) was developed and validated in 2010 in response to a dearth of psychometrically sound school climate instruments. This study sought to further validate the SCM on a large, diverse sample of Arizona public school adolescents (N = 20,953). METHODS: Four SCM domains (positive student-teacher relationships, academic support, order and discipline, and physical environment) were available for the analysis. Confirmatory factor analysis and structural equation modeling were established to construct validity, and criterion-related validity was assessed via selected Youth Risk Behavior Survey (YRBS) school safety items and self-reported grade (GPA) point average. RESULTS: Analyses confirmed the 4 SCM school climate domains explained approximately 63% of the variance (factor loading range .45-.92). Structural equation models fit the data well χ(2) = 14,325 (df = 293, p < .001), comparative fit index (CFI) = .951, Tuker-Lewis index (TLI) = .952, root mean square error of approximation (RMSEA) = .05). The goodness-of-fit index was .940. Coefficient alphas ranged from .82 to .93. Analyses of variance with post hoc comparisons suggested the SCM domains related in hypothesized directions with the school safety items and GPA. CONCLUSIONS: Additional evidence supports the validity and reliability of the SCM. Measures, such as the SCM, can facilitate data-driven decisions and may be incorporated into evidenced-based processes designed to improve student outcomes.