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研究生:李彥勳
研究生(外文):Yan-Shiun,Lee
論文名稱:鑑別度分層選題策略探討
論文名稱(外文):A Study of Item Selection Strategies for Stratified Discrimination
指導教授:盧宏益盧宏益引用關係
指導教授(外文):Hung-Yi,Lu
口試委員:劉正夫徐永豐
口試委員(外文):Jeng-Fu,LiuYung-Fong Hsu
口試日期:2012-06-22
學位類別:碩士
校院名稱:輔仁大學
系所名稱:統計資訊學系應用統計碩士班
學門:數學及統計學門
學類:統計學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:39
中文關鍵詞:試題反應理論電腦化適性測驗選題策略
外文關鍵詞:item response theorycomputerized adaptive testingitem selection strategy
相關次數:
  • 被引用被引用:0
  • 點閱點閱:219
  • 評分評分:
  • 下載下載:12
  • 收藏至我的研究室書目清單書目收藏:0
試題鑑別度主要之目的在於有效區別受試者能力之參數,鑑別度愈大,區別效果愈好。然而,建立高鑑別度之試題成本不低,故不宜無條件給予受試者測驗。本文在試題反應理論中的三參數羅吉斯模式的假設下,探討各種鑑別度分層選題策略對電腦化適性測驗結果影響。研究結果顯示,鑑別度分層選題策略相較於鑑別度未分層選題,可以降低成本並增加估計精確度,並可有效增加題庫使用率。
The main purpose of item discrimination parameter is effectively used to distinguish examinee’s ability. However, the cost of establishing high dicrimination items is high, therefore the discrimination should be provided with conditions. According to the item response theory under the three-parameters, This research discusses item selection strategies for various stratified discrimination about the adaptive item selection strategies. According to the results, the comparision of item selection strategies for stratified discrimination and random item selection strategies without stratified discrimination shows cost-effectiveness under stratified discrimination method as well as less estimated errors and better to prevent the items overexposure from the item bank.
第壹章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的與問題 2
第三節 研究流程 3
第貳章 文獻探討 4
第一節 試題反應理論 4
第二節 電腦化適性測驗 11
第參章 研究方法 18
第一節 研究工具 18
第二節 研究設計 18
第三節 評估準則 24
第肆章 研究結果與分析 25
第一節 鑑別度分層與否比較 25
第二節 題庫使用率比較 28
第伍章 結論與建議 35
第一節 結論 35
第二節 建議 35
參考文獻 37
中文部分 37
英文部分 37

中文部分
何榮桂(1999)。量身訂製的測驗—適性測驗。測驗與輔導,157期,3288-3293頁。
余民寧(1992a)。試題反應理論的介紹(七)-訊息函數。研習資訊,9(6),5-9。
余民寧(1992b)。試題反應理論的介紹(十一)-題庫的建立。研習資訊,10(4),9-13。
樂慶莉(1999)。電腦化多階段適性測驗。國立台灣大學流行病學所碩士論文。
英文部分
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F.M. Lord, &M.R. Novick, Statistical theories of mental test scores. MA:Addison-Wesley.
Chang,Y.-C., & Martinsek, A.T. (1992). Fixed size confidence regions for parameters of a logistic regression model. The Annals of Statistics, 20(4), 1953-1969.
Chang, H.-H., & Ying, Z. (1999). a-stratified multistage computerized adaptive testing. Applied Psychological Measurement,23(3), 211-222.
Chang, Y-c I. & Lu, H-Y. (2010). Online Calibration Via Variable Length Computerized Adaptive Testing Psychometrika,75(1),140-157.
Chang, H. H., Qian, J., & Ying, Z. (2001). a-stratified multistage CAT with b-blocking. Applied Psychological Measurement,25(4), 333-341.
Chen, S., Ankenmann, R. D., & Chang, H.(2000). A comparison of item selection rules at the early stages of computerized adaptive testing. Applied Psychological Measurement, 24(3), 241-255.
Cheng, P. E. & Liou, M. (2003). Computerized adaptive testing using the nearest neighbors criterion. Applied Psychological Measurement, 24, 257-265.
Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston, MA: Kluwer-Nijhoff.
Lord, F. M. (1952). A theory of test scores. Psychometric Monograph, No.7.
Lord, F. M. (1974). Estimation of latent ability and item parameters when there are omitted responses. Psychometrika, 39, 247-264.
Lord, F. M.(1977). Practical applications of item characteristic curve theory. Journal of Educational Measurement, 14, 117-138.
Lord, F. M. (1980). Application of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates.
Rasch, G. (1980). Probability models for some intelligence and attainment tests. Chicago: The University of Chicago Press (Original edition publised in 1960).
Reckase, M. D.(1983). A procedure for decision making using tailored testing. In Weiss, D. J., New horizons in Testing: Latent trait test theory and computerized adaptive testing. (pp.237-255).New York: Academic Press.
Spray, J., & Reckase, M. D. (1987). The effect of item parameter estimation error on decisions made using the sequential probability ratio test. ACT Research Report Series 87-1. Iowa City, IA: American College Testing.
Spray, J.A. & Reckase, M. D.(1996). Comparison of SPRT and sequential bayes procedures for classifying examinees into two categories using a computerized test. Journal of Educational and Behavioral Statistics, 21(4), 405-414.
Sympson, J. B. & Hetter, R. D. (1985). Controlling item exposure rates in computerized adaptive testing. Proceedings of the 27th annual meeting of the Military Testing Association, (pp. 973-977). San Diego, CA: Navy Personnel Research and Development Center.
Weiss, D. J. (1982). Improving measurement quality and efficiency with adaptive testing. Applied Psychological Measurement, 6, 379-396.

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