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Time to career: Science and engineering education to career trajectories.

机译:上班时间:从科学和工程教育到职业发展轨迹。

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摘要

Two waves of data from the 2006 and 2008 Survey of Earned Doctorates and Survey of Doctorate Recipients were used in this study to investigate time to doctorate (TTD) and time to career (TTC) for science and engineering PhDs. Three-way factorial ANOVAs were conducted, and TTD results indicated main effects for gender, US citizenship, and Biglan classification, and interaction effects for gender and US citizenship. US citizen PhDs progressed to their career approximately one mean year faster than foreign PhDs. For TTC, PhDs who held postdocs progressed to their careers in 14 and 15 years for females and males respectively compared to 19 years for those without postdoctoral appointments. PhDs working in academe also had shorter TTC rates than those working in industry or government settings. TTC rates were lowest for PhDs from engineering fields and highest for those from health sciences.;A multiple linear regression based upon the 2006 data was also used to determine the best predictors of TTC based upon individual, academic, and employer characteristics, and the model was cross-validated with an independent sample from the 2008 data. The regression solution was significant, F (20, 11000) = 97.06, p < .001, and significant predictors were gender, US citizen, children ages 2-5, married or married-like relationship, TTD, teaching assistantship, research assistantship, student loans, salary, postdoc, government employer, and business/industry employer. The regression solution for predicting TTC had a medium effect size (R2 = .14), and the cross-validated model had a slightly higher effect (R2 = .28).
机译:在这项研究中,使用了2006年和2008年获得的博士学位调查和博士学位接收者调查的两波数据来调查科学和工程博士学位的博士学位时间(TTD)和职业时间(TTC)。进行了三项因子方差分析,TTD结果表明了对性别,美国公民身份和Biglan分类的主要影响,以及对性别和美国公民身份的互动影响。美国公民博士的职业发展速度比外国博士平均快一年。对于TTC,拥有博士后博士学位的女性和男性的职业发展分别为14和15年,而没有博士后任命的博士学位的职业发展为19年。与在行业或政府机构工作的博士相比,在学院工作的博士的TTC费率也较短。工程领域博士学位的TTC率最低,而卫生科学领域的TTC率最高;基于2006年数据的多元线性回归还用于根据个人,学术和雇主特征以及模型确定TTC的最佳预测指标已使用来自2008年数据的独立样本进行交叉验证。回归解决方案具有显着性,F(20,11000)= 97.06,p <.001,并且重要的预测指标包括性别,美国公民,2-5岁的儿童,已婚或类似婚姻的关系,TTD,助教,研究助理,学生贷款,工资,博士后,政府雇主和商业/行业雇主。预测TTC的回归解决方案具有中等效应大小(R2 = .14),而交叉验证的模型具有稍高的效应(R2 = .28)。

著录项

  • 作者

    Choi, Angie Nim.;

  • 作者单位

    University of Arkansas at Little Rock.;

  • 授予单位 University of Arkansas at Little Rock.;
  • 学科 Higher education.;Engineering.;Science education.
  • 学位 Ed.D.
  • 年度 2015
  • 页码 227 p.
  • 总页数 227
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:50

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