对教育研究中心理测量特性报告的系统回顾

Simon Ntumi, Kwesi Twum Antwi-Agyakwa
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引用次数: 0

摘要

背景:研究成果的有效性和可靠性是研究线索的重要组成部分。它们有助于提高准确性和透明度,最大限度地减少研究人员的偏见,从而提高研究的严谨性和可靠性。本文回顾了教育研究中使用的量表/子量表的心理测量属性的发表文章频率。研究方法我们对 2010 年至 2020 年间 15 种教育相关期刊上发表的教育研究论文的心理测量特性进行了系统性回顾。在检索中,我们纳入了具有原始数据的定量研究。方法学质量评估由训练有素的审稿人进行。检索采用 PRISMA 2020 方法,以识别和筛选符合条件的论文。提取的数据使用 SPSS v25 进行分析,并以描述性统计进行报告和解释。研究结果我们从 15 种教育相关期刊中提取了 2010 年至 2020 年间发表的 763 篇论文。超过半数的论文没有报告有效性(763 篇中有 456 篇,占 59.8%)或可靠性(763 篇中有 400 篇,占 52.4%)。在报告效度或信度的文章中,α系数是确定信度最广泛使用的统计量(n=185,占 50.9%),相关系数则是经常报告的效度统计量(n=219,占 71.3%)。结论本文认为,要想在教育研究中得出可靠的结论和建议,研究人员必须追求心理测量特性,为其研究结果和带回家的学习提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Systematic Review of Reporting of Psychometric Properties in Educational Research
Background: The validity and reliability of research outputs are important elements of the research trail. They drive accuracy, transparency, and minimize researcher biases, contributing to rigor and dependability. This paper reviews the frequency of published articles reporting the psychometric properties of the scales/subscales employed in educational research. Methods: We conducted a systematic review of psychometric properties in educational research papers published between 2010 and 2020 from 15 education-related journals. In our search, we included quantitative studies with primary data. The methodological quality assessment was performed using trained reviewers. The search was conducted using PRISMA 2020 to identify, screen eligible papers for inclusion. The extracted was analyzed using SPSS v25 while reported and interpreted in descriptive statistics. Findings: We extracted 763 papers published between 2010 and 2020 from 15 education-related journals. More than half of the articles reviewed did not report either validity (n=456 out of 763, 59.8%) or reliability (n=400, out of 763, 52.4%) statistic. For those reporting either validity or reliability, the alpha coefficient was the most widely used statistic to establish reliability (n=185, 50.9%) and correlation coefficient was frequently reported (n=219, 71.3%) for validity. Conclusions: The paper concluded that to produce dependable conclusions and recommendations in educational research, it is imperative for researchers to pursue psychometric properties to ground their findings and take-home learning.
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