While many studies have reported the predictors of teacher attrition, we know little about what predicts the attrition of school leaders. Using the Colorado state data on elementary school principals’ and assistant principals’ career paths from 1999 to 2001 and school achievement-level data, we addressed two research questions: 1) How do the age-specific attrition rates differ by gender and race? and 2) What other conditional factors are associated with the attrition of school leaders? We found that female and minority groups generally had higher attrition rates at age 40 or younger and at age 56 or older than male and non-minority groups. Our data also indicated that school size and salary increase were associated with the attrition of both male and female leaders. Large schools were more likely to have higher rates of school leader attrition, and the leaders who expected relatively higher salary increases by transferring were more likely to leave their schools. Lower school achievement predicted higher attrition of female leaders only. These findings have important implications for policy-makers when they plan and implement strategies for preventing high attrition rates of school leaders.
We estimate the operational costs of nationwide class size reduction (CSR) programs under various policy alternatives, including the specified class size, flexibility in implementation, and whether the policy is targeted toward at-risk students. Depending on the specific options chosen, the estimated costs vary from about $2 billion per year to over $11 billion per year. These estimates could be further increased by teacher salary hikes necessitated by the rapid increase in the demand for teachers that results from CSR. Policymakers considering such a policy on a large scale should question whether it is the most cost-effective way of boosting student achievement.
The tree which results from the application of the Sonquist and Morgan method is based on the principle of dichotomizing the population at each point according to one of the independent variables in such a way as to explain as much variance of the dependent variables as possible. Confronted before applying this tree-analysismethod, with a distribution of the dependent variable, we may imagine that this distribution was the result of some process Pj.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.