Multilevel latent class cluster analysis of school climate: individual, family and community factors

Abstract

Although school climate is related to a variety of positive student outcomes, few studies have explored the heterogeneity of school climate profiles. The purpose of this study was to identify and describe different school climate profiles by evaluating variables at the individual, family and community levels in Chilean students. The sample consisted of 2683 adolescent students 51.2% boys and 48.8% girls), aged between 12 and 20 years (M = 15.78, SD = 1.35) from 32 Chilean schools. Results obtained from a multilevel latent class cluster analysis show that the model with six clusters of students and two classes of schools is the most parsimonious model and with the best fit to the data. School climate profiles were built on the basis of four indicators: school climate (Wald = 301.065; p < .001), student–teacher relationships (Wald = 226.687; p < .001), positive attitude to authority (Wald = 115.591; p < .001) and positive attitude to norm transgression (Wald = 3705.593; p < .001). All of these are useful indicators for profile segmentation. Covariates associated with school climate profiles were identified: at the individual level, age (p = .019) and sex (p < .001); at the family level, family structure (p < .001); at the school level, type of school (p = .002); and at the community level, the perception of insecurity in the neighborhood (p = .011), social control (p = .002) and support (p < .001).