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Research methods and statistical techniques employed by doctoral dissertations in education

机译:博士学位论文在教育中的研究方法和统计技术

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摘要

This study aimed to provide an understanding of the current state of research methods and statistical analysis in doctoral dissertations that were conducted in the field of education. The study also examined the relationships between the research methods and statistical analysis techniques students used in their dissertation and the type of doctoral degree they obtained. One hundred and ten doctoral dissertations conducted in the period between 2008 and 2010 were reviewed to identify the research methods and statistical analysis techniques used in those dissertations.;The study concluded that quantitative research was the most commonly used research method, followed by qualitative research methods, and mixed-method research was the least commonly used research method. It was also shown that, overall, triangulation mixed method design seems to be the most frequently used research design among the research designs, followed by case study, correlational, and descriptive research designs. The data also revealed that the type of doctoral degree had no significant effect on the research method students used in their dissertations.;The study also revealed that basic statistics were the most commonly utilized techniques in students' dissertations, followed by advanced statistics, and intermediate statistics were the least commonly used techniques. Descriptive statistics were the most frequently used statistics techniques in the studies, followed by bivariate correlation, ANOVA, and t test. Multiple regression seemed to be the most commonly used statistic techniques from the intermediate level. Finally, the study showed that the type of doctoral degree had a significant effect on the level of statistical analysis techniques students used in their dissertations. PhD students utilized more advanced statistics techniques than their EdD peers, who tended to use only basic statistics to treat their data.
机译:这项研究旨在提供对教育领域博士论文研究方法和统计分析现状的理解。研究还研究了学生在论文中使用的研究方法与统计分析技术之间的关系以及所获得的博士学位的类型。回顾了2008年至2010年期间发表的110篇博士论文,确定了这些论文所使用的研究方法和统计分析技术。研究得出结论,定量研究是最常用的研究方法,其次是定性研究方法,混合方法研究是最不常用的研究方法。研究还表明,总体而言,三角剖分混合方法设计似乎是研究设计中最常用的研究设计,其次是案例研究,相关和描述性研究设计。数据还表明,博士学位的类型对学生在论文中使用的研究方法没有显着影响;研究还表明,基础统计学是学生论文中最常用的技术,其次是高级统计学,其次是中级统计是最不常用的技术。描述性统计是研究中最常用的统计技术,其次是双变量相关,ANOVA和t检验。从中间水平来看,多元回归似乎是最常用的统计技术。最后,研究表明,博士学位的类型对学生在其论文中使用的统计分析技术的水平有显着影响。博士生比同等学历的同龄人使用更先进的统计技术,后者往往仅使用基本统计数据来处理其数据。

著录项

  • 作者

    Alanazy, Salim M.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Educational evaluation.;Statistics.;Higher education.
  • 学位 M.Ed.
  • 年度 2011
  • 页码 63 p.
  • 总页数 63
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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