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Statistical power as a contributing factor affecting significance among dissertations in the School of Religious Education at Southwestern Baptist Theological Seminary

机译：统计能力是影响西南浸信会神学院宗教教育学院论文重要性的重要因素

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摘要

Problem. The problem of this study was to determine the difference in power of the statistical test between selected dissertations' hypotheses proven statistically significant and those selected dissertations' hypotheses not proven statistically significant in the School of Religious Education at Southwestern Baptist Theological Seminary.;Procedures. The statistical power of selected dissertation hypotheses was measured using the computer program, Statistical Power Analysis for the Behavioral Sciences (1988), developed by Michael Borenstein and Jacob Cohen. The statistical power of hypotheses which met the criterion for being declared significant were compared to the power of hypotheses which failed to be proven significant. A total of 93 hypotheses were included in the study. A t-test for independent samples determined if there was a significant difference according to statistical power between the two groups of hypotheses. Alpha (.05) was partitioned into one-tail to determine if statistical power was significantly higher in the group of hypotheses which met the criterion for being declared statistically significant.;Findings and conclusion. The statistical analysis revealed that there was a significant difference between the two groups of hypotheses. That is, when the statistical power of hypotheses which were proven significant were compared to the group of hypotheses which failed to be proven significant, the two groups were more different than one would expect by chance. Specifically, the statistical power was significantly higher in those dissertations' hypotheses finding statistically significant results than those hypotheses not finding statistically significant results. Therefore, this study demonstrates that statistical power affects statistical significance. Non-significant results should be expected, more often than not, when research is conducted under low statistical power. Consequently, designing adequate statistical power into quantitative research should be a major consideration in inferential statistical testing.
机译：问题。这项研究的问题是确定在西南浸信会神学院的宗教教育学院中，经证明具有统计学意义的所选论文假设与经统计学证明无统计学意义的所选论文假设之间的统计检验能力差异。所选论文假设的统计功效是使用由迈克尔·波伦斯坦和雅各布·科恩开发的计算机程序《行为科学的统计功效分析》（1988年）进行测量的。将满足被宣布为重要标准的假设的统计功效与未能证明为重要的假设的功效进行比较。该研究总共包括93个假设。根据两组假设之间的统计功效，独立样本的t检验确定是否存在显着差异。将Alpha（.05）分成一个尾部，以确定满足声明为具有统计学意义的标准的假设组中的统计功效是否显着更高。；发现和结论。统计分析表明，两组假设之间存在显着差异。就是说，当将被证明是重要的假设的统计能力与未能被证明是重要的假设组进行比较时，这两组比一个偶然的期望要大得多。具体而言，在那些具有统计学意义的结果的论文假设中，统计能力明显高于那些没有统计学意义的假设。因此，这项研究表明统计能力会影响统计意义。当在低统计能力下进行研究时，通常应该预期结果不重要。因此，在定量研究中设计足够的统计能力应该是推论统计测试的主要考虑因素。

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  • 作者

    Clark, Don.;

  • 作者单位

    Southwestern Baptist Theological Seminary.;

  • 授予单位 Southwestern Baptist Theological Seminary.;
  • 学科 Higher education.;Educational administration.;Statistics.;Religious education.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 古植物学;
  • 关键词

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