查詢結果分析
相關文獻
- Distractibility Analysis of Multiple-choice Items: Application to the English Test of the 1997 Joint College Entrance Examination
- Rasch模式應用於次序選擇題之誘項分析--以數學分數測驗為例
- Rasch模式概率比法的差異試題功能分析
- 新進國中教師主要工作內容之分析
- 教學觀點量表之發展與試題反應分析
- Analysis of the English Subtest Scores on an Independently-Held Institute of Technology Entrance Examination
- Validity and Reliability of Grammar Proficiency Test and Evaluation of the Effectiveness of Freshman English Composition Class
- 生活品質量表的發展
- 傳統選擇題的命題原則
- 多元計分三參數試題選項分析固定效應模式
頁籤選單縮合
題名 | Distractibility Analysis of Multiple-choice Items: Application to the English Test of the 1997 Joint College Entrance Examination=選擇題之誘答力分析:1997大學聯考英文試題之應用 |
---|---|
作者 | 王文中; 陳雪珠; | 書刊名 | 測驗年刊 |
卷期 | 46:2 1999.07[民88.07] |
頁次 | 頁113-128 |
分類號 | 521.35 |
關鍵詞 | 誘答選項; 選擇題; 誘答力; Rasch模式; 英文測驗; Distractor; Multiple-choice items; Distractibility; Rasch model; English test; |
語文 | 英文(English) |
中文摘要 | 在本研究裡,我們利用Wang(1998)的誘答選項模式,分析了1997年大學聯考英文科50道選擇題的誘答力。該模式對每個誘答選項設有一個誘答力參數。透過誘分析和訪目高中英文教師與學生,我們發現了一些有問題的試題,有的誘相當低,有的誘答力分配不均。這使得猜對這些題目的機會增加,也使得試題品質大打折扣。我們提供了一些關於試題修訂的建議。這個誘答力分析和傳統的Rasch分析最大的不同在於前者保留了個別的誘答選項,因此可以獲得個別誘答選項所提供的訊息,後者則將誘答選項合併,失去個別息這個將使得選擇題的修訂更為有效。 |
英文摘要 | fifty multiple-choice items in the English test of the 1997 Joint college Entrance Examination in Taiwan were analyzed with the distractor model (Wang, 1998) where each distractor is modeled with a distractibility parameter. Provided with the findings from the distractibility analysis and the interviews of high school English teachers and students, we identify several problematic items that have distractors with little or extreme distractibility. The chance for guessing the correct answers in these tiems was increased and thus the item quality was damaged. Some suggestions for distractor revision are given. This distractibility analysis is different from the conventional Rasch analysis in that the individual distractors are reserved and parameterized in the combined into a unified category in the latter. Information about distractibility makes revision of multiple-choice items more effective. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。