用變量判別量數分析二階段測驗

Analyzing Two-Tier Test with Variable Discrimination Measures

10.6173/CJSE.2006.1402.02

何偉雲(Woei-Yun Ho)；高慧蓮(Huey-Lien Koa)

迷思概念 ； 二階段測驗 ； 判別量數分析 ； Misconception ； Two-tier Test ； Discrimination Measures

科學教育學刊

14卷2期（2006 / 04 / 01）

149 - 162

繁體中文

二階段測驗作為科學迷思概念診斷的主要工具，由於其二階段數據形式通常為名義變量，使得測驗工具的數據分析或是效度建構無法用一般的多變量統計方法，對迷思概念研究社群造成不少困擾。本研究利用變量判別量數分析方法，對一份經過專家審查通過的二階段測驗工具進行分析，研究結果顯示，該方法能有效地分析二階段測驗數據，提供構念代表性不足和構念非相關變異量等構念效度資訊。

It is not an easy task to construct or verify the validit of an inherently complicated a two-tier misconception test by conventional methods. The aim of this research is to employ homogeneity analysis (Homals) to analyze a two-tier misconception test. Specifically, variable quantification and discrimination measures of the Homals were used to study the homogeneity between variables and the discrimination power of variables in our two-tier misconception test. Our study results showed that the proposed method provided an effective way to provide information about construct underrepresentation and construct-irrelevant variance of a two-tier misconception test in science.

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