Academic Culture: Its Meaning, Measure and Contribution to Student Learning

K. Leithwood, Jingping Sun, Sijia Zhang, Cheng Hua
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Abstract

This study had two objectives. One objective was to assess the psychometric properties of a survey instrument measuring a new latent variable, Academic Culture (AC), combining three observed variables academic press, disciplinary climate and teachers’ uses of instructional time. The second objective was to replicate the results of an earlier study identifying AC as a significant mediator of school leadership’s influence on student learning. Data for the study were provided from 2068 teachers located in 49 schools in 14 Texas school districts, as well as student achievement data from the State of Texas Assessments of Academic Readiness (STAAR) and student socioeconomic (SES) data available from school websites. Second order Confirmatory Factor Analysis (CFA) and Many-Facet Rasch (MFR) models were used to examine the survey instrument’s construct validity and its measurement invariance. Structural Equation Modeling was used to identify the extent to which AC mediated the effects of school leadership on student achievement controlling for student SES. Rasch analysis and CFA confirmed the measurement invariance and several forms of validity of the survey instrument. Replicating the results of an earlier study, results of structural equation modeling demonstrated significant effects of AC on student achievement and identified AC as a significant mediator of school leadership effects on student achievement. The study contributes to the quality of instruments available to school leaders for their school improvement work and to researchers inquiring about the most promising variables mediating the indirect effects of school leadership on student success.
学术文化:其意义、衡量标准和对学生学习的贡献
这项研究有两个目标。其一是评估一种测量新潜在变量学术文化(AC)的调查工具的心理测量特性,该变量结合了学术新闻、纪律氛围和教师使用教学时间这三个观察变量。第二个目标是复制之前一项研究的结果,即 AC 是学校领导力对学生学习影响的重要中介。研究数据来自德克萨斯州 14 个学区 49 所学校的 2068 名教师,以及德克萨斯州学业准备评估(STAAR)的学生成绩数据和学校网站提供的学生社会经济(SES)数据。二阶确证因子分析(CFA)和多面 Rasch(MFR)模型用于检验调查工具的构造效度和测量不变性。结构方程模型用于确定在控制学生社会经济地位的情况下,AC 在多大程度上介导了学校领导力对学生成绩的影响。Rasch 分析和 CFA 证实了调查工具的测量不变性和多种形式的有效性。结构方程模型的结果表明,交流对学生成绩有显著影响,并确定交流是学校领导力对学生成绩影响的重要中介。这项研究有助于提高学校领导改进学校工作的工具质量,也有助于研究人员探究学校领导对学生成功的间接影响的最有希望的中介变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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