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Using citation analysis methods to assess the influence of STEM education evaluation.

机译:使用引文分析方法评估STEM教育评估的影响。

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摘要

This study explores the validity of using citation analysis methods as a way of assessing the influence of program evaluations conducted within the areas of science, technology, engineering, and mathematics (STEM). Interest in the broad influence of evaluations has caught the attention of evaluation theorists, practitioners, and funders recently. However, methods for measuring the influence of evaluations have yet to be developed and validated. Citation analysis is widely used within scientific research communities to measure the relative influence of scientific research and/or specific scientists. This study explores the applicability of citation analysis for understanding the broad impact of STEM education program evaluations.;Nine assumptions regarding the validity of using citation analysis methods to assess STEM education evaluation product influence are examined using data from four sources: (1) citation analysis data, (2) the opinions of an expert panel, (3) data from a survey of primary investigators and evaluators from local projects connected with four national program evaluations, and (4) a review of relevant literatures. The data collected for the validation study suggest that citation analysis methods provide data to help understand, to a limited extent, the influence of large-scale program evaluations on the fields of STEM education and evaluation. In particular, citation data can be used to understand and compare patterns of influence of multi-site STEM program evaluations.;Citations, however, are only one among many possible measures of one limited type of influence arising from the dissemination of evaluation products. Additionally, citation data do not appear to be useful for precisely quantifying the actual level of influence of any one evaluation. Moreover, the examination of the content of citations is critical. Without understanding the content of the citations, judgments cannot be made about whether citations are actually measuring influence. Consequently, it is important to stress that citations are only one measure of one possible influence arising from an evaluation and are limited and should be interpreted as such.
机译:这项研究探讨了使用引文分析方法作为评估在科学,技术,工程和数学(STEM)领域内进行的计划评估的影响的有效性。对评估的广泛影响的兴趣引起了评估理论家,实践者和资助者的关注。但是,用于评估评估影响的方法尚未开发和验证。引文分析广泛用于科学研究领域,以衡量科学研究和/或特定科学家的相对影响。本研究探索了引文分析在理解STEM教育计划评估的广泛影响中的适用性;;使用来自四个来源的数据检查了关于使用引文分析方法评估STEM教育评估产品影响力的有效性的九个假设:(1)引文分析数据;(2)专家小组的意见;(3)来自与四个国家计划评估相关的地方项目的主要研究人员和评估人员的调查数据;以及(4)相关文献的评论。为验证研究而收集的数据表明,引文分析方法可在一定程度上帮助理解大型程序评估对STEM教育和评估领域的影响。特别是,引用数据可用于理解和比较多站点STEM程序评估的影响模式。但是,引用只是由于评估产品的传播而产生的一种有限类型的影响的许多可能度量之一。此外,引文数据对于准确量化任何一项评估的实际影响水平似乎并不有用。此外,对引文内容的审查至关重要。如果不了解引文的内容,就无法判断引文是否真正在衡量影响力。因此,必须强调的是,引用仅仅是对评估可能产生的一种影响的一种度量,并且受到限制,应如此解释。

著录项

  • 作者

    Greenseid, Lija Ozols.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Education Tests and Measurements.;Education Educational Psychology.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 218 p.
  • 总页数 218
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 教育;教育心理学;
  • 关键词

  • 入库时间 2022-08-17 11:38:44

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