Teacher Absences in the Commonwealth of Virginia

D. L. Eagle, William J. Glenn
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引用次数: 1

Abstract

The purpose of this study was to analyze selected variables for public schools and districts in Virginia to determine the relationship of school and policy characteristics to teacher absences. This study included two research questions: What is the relationship between certain school district policy provisions and teacher absenteeism? What is the relationship between certain school characteristics and teacher absenteeism? The analysis for this study involved computing descriptive statistics, correlating continuous variables, and running multiple regressions for each dataset (school and district for each year) to determine the predictors of the dependent variable, chronically absent teachers. Although the school models were significant, neither was a particularly strong predictor of chronically absent teachers, only accounting for 15.2% of the variation (2011-2012 model with R2 = .152) and 9.6% of the variation (2013-2014 model with R2 = .096) that is predicted by the independent variables. Nevertheless, there were independent policy and school variables that were significant predictors in both school years. The most prominent variables included total leave, personal leave maximums, income protection provisions (sick leave banks, short-term disability), free and reduced lunch population percentage of a school, pupil/teacher ratio of the school, and the grade level of the school (elementary, middle, and high).
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弗吉尼亚州教师缺席
本研究的目的是分析弗吉尼亚州公立学校和地区的选定变量,以确定学校和政策特征与教师缺勤的关系。这项研究包括两个研究问题:某些学区政策规定与教师缺勤之间的关系是什么?某些学校特征与教师缺勤之间有什么关系?本研究的分析包括计算描述性统计数据,关联连续变量,并对每个数据集(每年的学校和地区)进行多元回归,以确定因变量、长期缺席教师的预测因素。尽管学校模型是显著的,但这两个模型都不是长期缺课教师的特别强的预测因子,仅占自变量预测的变异的15.2%(2011-2012年模型,R2=0.152)和9.6%(2013-2014年模型,R2=0.96)。尽管如此,在两个学年都有独立的政策和学校变量是重要的预测因素。最突出的变量包括总假期、事假最高限额、收入保护规定(病假银行、短期残疾)、学校免费和减少午餐人口的百分比、学校的学生/教师比例以及学校的年级水平(小学、中学和高中)。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
12
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