Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/15297
DC FieldValueLanguage
dc.creator余民寧zh_TW
dc.creatorYu, Ming-Ning-
dc.date1991-09en_US
dc.date.accessioned2008-12-17T01:55:42Z-
dc.date.available2008-12-17T01:55:42Z-
dc.date.issued2008-12-17T01:55:42Z-
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/15297-
dc.description.abstract由於傳統的「答對才計分」(number-right scoring)方式無法解決諸如猜題(guessing)和部份知識(partial knowoldge)的問題,為此尋求更嚴謹,更精確的理論模式和估計考生實際能力的方法,便成為迫切需要的課題;當代測驗理論中的潛在特質理論(latent trait theory)或試題反應理論(item response theory)便是我們所需要的。本文提出一個類似羅氏(Rasch)的對數模式(logistic model),即「部份得分模式」(partial credit model),來補救傳統計分方法的缺失;並舉出一個實例說明:用一種簡便方法(PROX法)來估計考生能力和描述試題特性。本文評論「部份得分模式」的優缺點,並指出未來的研究方向。-
dc.formatapplication/en_US
dc.languageenen_US
dc.languageen-USen_US
dc.language.isoen_US-
dc.relationJournal of National Chengchi University 63,401-428en_US
dc.titleThe assessment of partial knowledgeen_US
dc.typearticleen
item.fulltextWith Fulltext-
item.languageiso639-1en_US-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
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期刊論文
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