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題名:應用HIRT於實徵資料分析--以國小六年級數學小數的除法單元為例
書刊名:測驗統計年刊
作者:張素珍李佩瑾郭伯臣 引用關係林佳樺
作者(外文):Chang, Su-chenLi, Pei- jinKuo, Bor-chenLin, Chia-hua
出版日期:2010
卷期:18(下)
頁次:頁51-66
主題關鍵詞:階層式試題反應理論小數的除法Hierarchical item response theoryDecimal divisionNAEP
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
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  • 共同引用共同引用:10
  • 點閱點閱:44
摘要 近年來測驗的編製逐漸朝向階層式的評量架構,期能測得學生較高階的能力值,加上使用適當的模式進行分析,不僅可同時獲得欲求得的能力估計值,還能獲得較多的訊息量。本研究根據NAEP的數學評量架構,編製一份六年級數學小數的除法測驗,利用實徵資料比較HIRT、MIRT和UIRT三種估計模式對學生小數除法的能力值估計是否有差異,影響如何?以作為階層式評量架構之測量模式選用依據。 本研究測驗的結果顯示此份測驗具備良好的信度(Cronbach α係數值為0.79)、效度和鑑別度;透過實徵方式在模式適配度指標(model fit indexes)AIC、BIC、DIC三種指標值都顯示HIRT之完整模式較適合用於估計階層式評量架構;HIRT模式中小數的除法能力及概念、程序、問題解決間的迴歸係數在0.8以上,尤其概念在解釋小數的除法能力時影響力最大;HIRT之完整模式也可以提供較多訊息,且估計效果較佳。
Abstract In resent years, for estimating students’ higher abilities, the framework of assessment gradually turns into large-scale standardized assessment framework. Suitable model not only tells us the ability estimates wanted, and gets the better estimation result. By means of empirical study, the main purpose of the study is to compare if there is difference in mathematical ability estimation by HIRT(hierarchical item response theory), MIRT (multidimensional item response theory) and UIRT (unidimensional item response theory) and what their influences are as the reference of mathematical assessment model. The assessment on Decimal division is designed for six-grade students based on the mathematical assessment framework of NAEP. The reliability on the assessment is 0.79. The result is analyzed and compared by HIRT, MIRT and UIRT models. According to the model fit indexes (AIC, BIC and DIC), it shows that HIRT model is suitable to large-scale standardized assessment framework. In HIRT pattern, the coefficients of Decimal division, and conceptual understanding, procedural knowledge, problem solving inference regression are higher than 0.7, especially conceptual understanding influence the Decimal division. Therefore, the result of the empirical study confirms HIRT model can provide more information and has better estimation.
期刊論文
1.Wilson, M.、Adams, R. J.(1995)。Rasch models for item bundles。Psychometrika,60(2),181-198。  new window
2.王敏嫻、曾筱倩、郭伯臣、吳慧珉(2010)。多向度試題反應理論之可能值方法對大型測驗中群體平均數估計之影響--以TASA2006數學科為例。測驗統計年刊,18,47-68。  延伸查詢new window
3.Sturtz, S.、Ligges, U.、Gelman, A.(2005)。R2WinBUGS: A package for running WinBUGS from R。Journal of Statistical Software,12,1-16。  new window
4.余民寧(19920400)。試題反應理論的介紹(3)--試題反應模式及其特性。研習資訊,9(2),6-10。  延伸查詢new window
5.Adams, Raymond J.、Wilson, Mark R.、Wang, Wen-chung(1997)。The multidimensional random coefficients multinomial logit model。Applied Psychological Measurement,21(1),1-23。  new window
6.Cowles, M. K.(2004)。Review of WinBUGS 1.4。The American Statistician,58,330-336。  new window
7.Qiu, Z.、Tan, M.、Song, P. X.-K.(2002)。Bayesian hierarchical models for multi-level repeated ordinal data using WinBUGS。Journal of Biopharmaceutical Statistics,12,121-135。  new window
8.Hoskens, M.、De Boeck, P.(1997)。A parameteric model for local dependence among test items。Psychological methods,2,261-277。  new window
9.陳永峰(1998)。國小六年級學童小數知識之研究。國民教育研究,3,337-373。  延伸查詢new window
10.劉曼麗(2008)。小數除法的學與教314,27-38。  延伸查詢new window
會議論文
1.Wang, W.、Wilson, M.、Cheng, Y.(2000)。Local Dependence between Latent Traits when Common Stimuli are Used。International Objective Measurement Workshop。New Orleans, LA。  new window
2.吳昭容(2003)。「理解」與「計算」,有何兩難?。「你建構我運算,孩子會了什麼?」數學教育之趨勢研討會,國立台北師範學院教育心理與輔導學系、數學教育學系聯合主辦 。台北:國立台北師範學院教育心理與輔導學系、數學教育學系。  延伸查詢new window
3.謝典佑、林佳樺、郭伯臣、施淑娟(200909)。單因子高層次IRT模式適合度檢定之研究--以TASA數學科為例。「大型教育資料庫建置及相關議題」學術研討會,國立臺中教育大學 。國立臺中教育大學。  延伸查詢new window
研究報告
1.Spiegelhalter, D.、Best, N.、Carlin, B.(1998)。Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex models。Division of Biostatistics, University of Minnesota。  new window
2.劉曼麗(2002)。台灣地區國小學童小數概念研究(Ⅱ)國小學童「小數與小數運算」概念之調查研究 (計畫編號:NSC 90-2521-S-153-003)。  延伸查詢new window
3.劉曼麗(2004)。九年一貫數學領域分數與小數能力指標的詮釋:子計畫三--小數 (計畫編號:NSC92-2521-S-153-008)。  延伸查詢new window
學位論文
1.邱美珍(2008)。以多向度試題反應理論量測兒童步行上放學之能力(碩士論文)。國立交通大學。  延伸查詢new window
2.Song, H.(2007)。A higher-order item response model: development and application(博士論文)。The State University of New Jersey。  new window
3.吳昭容(1996)。先前知識對國小學童小數概念學習之影響(博士論文)。國立臺灣大學。new window  延伸查詢new window
4.林佳樺(2009)。高階層試題反應理論及其成效探討(碩士論文)。國立臺中教育大學。  延伸查詢new window
5.張勝凱(2010)。使用HIRT模式建立國小六年級學童數學推理能力測驗(碩士論文)。國立臺中教育大學。  延伸查詢new window
6.賴文溥(2009)。國小六年級學童小數除法概念結構分析之研究(碩士論文)。國立臺中教育大學。  延伸查詢new window
圖書
1.Congdon, P.(2003)。Applied Bayesian Modelling。New York:Wiley。  new window
2.教育部(2003)。國民中學九年一貫課程綱要--數學學習領域。臺北市:教育部。  延伸查詢new window
3.Rasch, G.(1960)。Probability models for some intelligence and attainment tests。Copenhagen Danmark:Danmark's Paedogogiske Institute for Educational Research。  new window
其他
1.National Assessment Governing Board U.S. Department of Education(2002)。Mathematics Framework for the 2003 National Assessment of Educational Progress,http://nces.ed.gov/nationsreportcard/mathematics/results2003/, 2004/01/10。  new window
圖書論文
1.Weiss, D.、Yoes, M.(1991)。Item Response Theory。Advances in educational and psychological testing。Boston:Kluwer-Nijhoff。  new window
 
 
 
 
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