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来源类型Publication
How teaching conditions predict teacher turnover in California schools
Susanna Loeb; Linda Darling-Hammond; John Luczak
发表日期2005
出版者Peabody Journal of Education
出版年2005
语种英语
摘要

A number of studies have found that teachers are prone to leave schools serving high proportions of low-achieving, low-income, and minority students for more economically and educationally advantaged schools. In schools with very high turnover rates, this can pose a number of challenges, including lack of continuity in instruction, lack of adequate teaching expertise for making curriculum decisions and providing support and mentoring, and lost time and resources for replacement and training. If high rates of turnover are caused largely by student characteristics, then policy strategies to correct the problem are limited. However, due to data constraints, little research has sought to disentangle the effects of student demographic factors from occupational factors such as salaries and working conditions that may also influence turnover and are amenable to policy interventions. Using California teacher survey data linked to district data on salaries and staffing patterns, this study examines a range of school conditions as well as demographic factors and finds that high levels of school turnover are strongly affected by poor working conditions and low salaries, as well as by student characteristics. Although schools' racial compositions and proportions of low-income students predict teacher turnover, salaries and working conditions-including large class sizes, facilities problems, multitrack schools, and lack of textbooks-are strong and significant factors in predicting high rates of turnover. Furthermore, when these conditions are taken into account, the influence of student characteristics on turnover is substantially reduced.

主题Teaching and Leadership Effectiveness
子主题Educational Equity ; Teacher Labor Markets ; Teacher Quality
URLhttps://cepa.stanford.edu/content/how-teaching-conditions-predict-teacher-turnover-california-schools
来源智库Center for Education Policy Analysis (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/491389
推荐引用方式
GB/T 7714
Susanna Loeb,Linda Darling-Hammond,John Luczak. How teaching conditions predict teacher turnover in California schools. 2005.
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