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Commentary on Factorial Versus Typological Models: Complementary Evidence in the Model Selection Process

机译:析因对类型模型的评注:模型选择过程中的补充证据

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摘要

The notion that there is often no clear distinction between factorial and typological models (von Davier, Naemi, & Roberts, this issue) is sound. As the authors state, theory often indicates a preference between these models; however the statistical criteria by which these are delineated offer much less clarity. In many ways the procedure that the authors are discussing is reminiscent of the instrument validation process. In both cases it is not a search for the truth. We do not ask ourselves if an instrument is valid or if the model we choose is the true one. Instead we concern ourselves with whether the inferences that can be drawn, from an instrument or a model, are tenable. In both situations the goal is to gather as much evidence as possible to that end.
机译:析因模型和类型模型之间通常没有明确区分的观点(冯·戴维,内米和罗伯茨,本期)是正确的。正如作者所言,理论通常表明这些模型之间存在偏好。但是,用这些标准来描述的统计标准所提供的清晰度却要低得多。在许多方面,作者正在讨论的过程让人联想到仪器验证过程。在两种情况下,这都不是对真理的追求。我们不会问自己一种工具是否有效,或者我们选择的模型是否是真实的。相反,我们担心可以从工具或模型得出的推论是否成立。在这两种情况下,目标都是为此目的收集尽可能多的证据。

著录项

  • 来源
    《Measurement》 |2012年第4期|222-224|共3页
  • 作者

    Karen Samuelsen;

  • 作者单位

    School of Education Piedmont College Prince Avenue, Athens, GA 30601;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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