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引文資料
題名:
Algorithms for Finding Equating Coefficients for Mixed-format Tests
書刊名:
測驗年刊
作者:
李源煌
/
楊玉女
作者(外文):
Li, Yuan H.
/
Yang, Yu-nu
出版日期:
1999
卷期:
46:1
頁次:
頁129-140
主題關鍵詞:
Item linking
;
Item bank
;
Test equating
;
Mixed-format test
;
試題聯結
;
題庫
;
測驗等化
;
混合式試卷
原始連結:
連回原系統網址
相關次數:
被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
排除自我引用:0
共同引用:0
點閱:21
在以線性轉換為基礎之試卷等化方法中,配對兩試卷之特徵曲線法(Characteristic Curve Method, CCM,乃經常被採用,過去此種試卷等化方法大多僅應用於兩點(dichotomous)或多點(polytomous)計分之試題上由於近年來混合式試卷(編輯部分兩點計分及部分多點計分之試題)已普遍被採用,因此如何延展CCM之等化方法至此種混合式試卷,將在文中加以介紹與闡釋。此外,本文並提供詳細之估算原理與程序作為研究參考。
以文找文
Among the common-item linking methods by a linear transformation procedure, the characteristic curve method (CCM) which matches the test characteristic curves between the base and the equated tests (Stocking & Lord, 1983) is the most widely adopted approach to estimating the equating coefficients either for dichotomously or polytomously scored items. Since recent years have seen growing use of a test with mixed item formats, e.g., partly containing dichotomous scored items and partly consisting of polytomous scored items, the extension of the CCM approach to mixed-format tests is illustrated in this paper. The corresponding CCM's algorithms for finding equating coefficients for mixed-format tests is provided.
以文找文
期刊論文
1.
Kim, S. H.、Cohen, A. S.(1998)。A Comparison of Linking and Concurrent Calibration Under Item Response Theory。Applied Psychological Measurement,22,131-143。
2.
Nandakumar, R.、Yu, F.、Li, H.、Stout, W.(1998)。Assessing unidimensionality of polytomous data。Applied Psychological Measurement,22,99-115。
3.
Baker, F. B.(1992)。Equating Tests Under the Graded Response Model。Applied Psychological Measurement,16,87-96。
4.
Baker, F. B.(1996)。An investigation of the sampling distributions of equating coefficients。Applied Psychological Measurement,20,45-57。
5.
Baker, F. B.(1997)。Empirical sampling distributions of equating coefficients for graded and nominal response instruments。Applied Psychological Measurement,21,157-172。
6.
Divgi, D. R.(1985)。A minimum chi-square method for developing a common metric in item response theory。Applied Psychological Measurement,9,413-415。
7.
Kim, S.、Cohen, A. S.(1995)。A minimum X² method for equating tests under the graded response model。Applied Psychological Measurement,19,167-176。
8.
Linn, R. L.、Levine, M. V.、Hastings, C. N.、Wardrop, J. L.(1981)。An investigation of item bias in a test of reading comprehension。Applied Psychological Measurement,5,159-173。
9.
McKinley, R. L.、Mills, C. N.(1985)。A comparison of several goodzess-of-fit statistics。Applied Psychological Measurement,9,49-57。
10.
Beaton, A. E.、Zwick, R.(1992)。Overview of the national assessment of educational progress。Journal of Educational Statistics,17(2),95-109。
11.
Li, Y. H.、Lissitz, R. W.。An evaluation of multidimensional IRT equating methods by assessing the accuracy of transforming parameters onto a target test metric。Applied Psychological Measurement。
12.
Muraki, Eiji(1992)。A generalized partial credit model: application of an EM algorithm。Applied Psychological Measurement,16(2),159-176。
會議論文
1.
Kim, S.、Cohen, A. S.(1997)。A comparison of linking and concurrent calibration under the graded response model。The annual meeting of the American Educational Research Association。Chicago, IL。
2.
Li, Y. H.、Griffith, W. D.、Tarn, H. P.(1997)。Equating multiple tests via an IRT linking design: Utilizing a single set of Anchor items with fixed common item parameters during the calibration process。The annual meeting of the Psychometric Society。Gatlinburg, TN。
3.
Li, Y. H.、Lissitz, R. W.、Yang, Yu Nu(1999)。Estimating IRT equating coefficients for tests with polytomously and dichotomously scored items。The annual meeting of the National Council on Measurement in Education。Montreal。
4.
Mislevy, R. J.、Bock, R. D.(1982)。Implementation of the EM algorithm in the estimation of item parameters: The BILOG computer program。Item Response Theory and Computerized Adaptive Testing Conference,(會議日期: July 27-30, 1982)。Wayzata, MN。
學位論文
1.
Li, Y. H.(1997)。An evaluation of multidimensional IRT equating methods by assessing the accuracy of transforming parameters onto a target test metric(博士論文)。University of Maryland at College Park。
圖書
1.
Mislevy, R. J.、Bock, R. D.(1990)。BILOG-3: Item analysis and test scoring with binary logistic models。Mooresville, IN:Scientific Software International。
2.
Nakamura, S.(1996)。Numerical analysis and graphic visualization with MATLAB。Upper Saddle River, NJ:Prentice-Hall, Inc.。
3.
Muraki, E.、Bock, R. D.(1996)。PARSCALE (Version 3.): IRT based test scoring and item analysis for graded open-ended exercises and performance tasks。Mooresvilk:Scientific Software。
4.
Hambleton, R. K.、Swaminathan, H.、Rogers, H. J.(1991)。Fundamentals of item response theory。Newburry Park, CA:Sage。
5.
Maryland State Department of Education(1997)。Technical report: 1997 Maryland School Performance Assessment Program。Baltimore:Maryland State Department of Education。
6.
Lord, Frederic M.(1980)。Applications of Item Response Theory to Practical Testing Problems。Lawrence Erlbaum Associates, Inc.。
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