Análisis de clases latentes multinivel del clima escolar: factores individuales, familiares y comunitarios

IF 3.8 1区 心理学 Q1 EDUCATION & EDUCATIONAL RESEARCH Revista De Psicodidactica Pub Date : 2020-07-01 DOI:10.1016/j.psicod.2020.01.001
José Luis Galvez-Nieto , Juan A. García , Daniela Vera-Bachmann , Italo Trizano-Hermosilla , Karina Polanco
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引用次数: 10

Abstract

Although school climate is related to a variety of positive outcomes in students, few studies have explored the heterogeneity of school climate profiles. The purpose of this study is to identify and describe different school climate profiles by evaluating variables at the individual, family and community levels in Chilean students. The sample consists of 2,683 adolescent students (51.2% men and 48.8% women), aged between 12 and 20 years (M = 15.78, SD = 1.35), and from 32 Chilean educational institutions. Results obtained from a multilevel latent class cluster analysis show that the model with six clusters of students and two class of institutions proves to be 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 towards authority (Wald = 115.591, p < .001) and positive attitude towards norm transgression (Wald = 3705.593, p < .001). All of them are to be useful indicators for profile segmentation. Covariates that are associated with school climate profiles 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 educational institution (p = .002); and at the community level, the perception of insecurity in the neighborhood (p = .011), social control (p = .002) and support (p <.001).

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学校气候的多层次潜在班级分析:个人、家庭和社区因素
虽然学校气候与学生的各种积极成果有关,但很少有研究探讨学校气候概况的异质性。本研究的目的是通过评估智利学生的个人、家庭和社区层面的变量来识别和描述不同的学校气候概况。样本包括2,683名青少年学生(51.2%男性,48.8%女性),年龄在12至20岁之间(M = 15.78, SD = 1.35),来自智利32所教育机构。多层潜在类聚类分析的结果表明,包含6类学生和2类机构的模型是最简洁的模型,与数据的拟合效果最好。学校气候概况基于四个指标:学校气候(Wald = 301.065, p <.001),师生关系(Wald = 226.687, p <.001),对权威的积极态度(Wald = 115.591, p <.001)和对违反规范的积极态度(Wald = 3705.593, p <措施)。所有这些都将成为剖面分割的有用指标。已确定的与学校气候概况相关的协变量:在个人水平上,年龄(p = 0.019)和性别(p <措施);在家庭层面,家庭结构(p <措施);在学校一级,教育机构类型(p = .002);在社区层面,邻里不安全感感知(p = 0.011)、社会控制感知(p = 0.002)和支持感知(p < 0.001)分别为:
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来源期刊
CiteScore
6.60
自引率
5.60%
发文量
18
审稿时长
35 days
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