• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of applied measurement >Measurement in Clinical vs. Biological Medicine: The Rasch Model as a Bridge on a Widening Gap
【24h】

Measurement in Clinical vs. Biological Medicine: The Rasch Model as a Bridge on a Widening Gap

机译：临床与生物医学中的测量：拉希模型作为拉大差距的桥梁

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the dominant Bio-medical paradigm Medicine is mostly Biology applied to Man. Measurement in Biology stems from physical sciences and has established validity. This is not the case for whole-person variables such as behaviors and psychic conditions (disability, pain, knowledges). The very existence of these variables can only be inferred by observing samples of representative behaviors. The quantity of the inferred variable may only come from subjective and discrete counts (scores) of events (coming in a questionnaire). Contemporary statistics demonstrated that raw scores intrinsically lack fundamental properties for scientific measurement, whatever their algebraic manipulations. This adds to the stigmatization of Clinical Medicine as "soft science", compared to Bio-medicine. In the '60s Georg Rasch inaugurated a new statistical approach allowing transformation of raw scores into objective linear measures comparable to physical measures. This may help the Bio-medical paradigm to redirect resources from laboratory bench back to bedside.
机译：在占主导地位的生物医学范式中，医学主要应用于人类。生物学中的测量源于物理科学，并且已经确立了有效性。对于诸如行为和精神状况（残疾，痛苦，知识）之类的全人变量则不是这种情况。这些变量的存在只能通过观察代表性行为的样本来推断。推断变量的数量只能来自事件的主观和离散计数（得分）（来自调查表）。当代统计数据表明，原始分数本质上缺乏科学度量的基本属性，无论其代数操作如何。与生物医学相比，这给临床医学带来了“软科学”的污名。上世纪60年代，Georg Rasch开创了一种新的统计方法，该方法允许将原始分数转换为与物理度量相当的客观线性度量。这可能有助于生物医学范例将资源从实验室工作台重定向回床边。

著录项

  • 来源
    《Journal of applied measurement》 |2004年第4期|p.362-366|共5页
  • 作者

    Luigi Tesio;

  • 作者单位

    Clinical Unit of Rehabilitation and the Laboratory for Research in Neuromotor Rehabilitation, Istituto Auxologico Italiano, IRCCS, via Spagnoletto 3, 20149 Milan, Italy;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号