| dc.contributor.advisor | 余清祥<br>張源俊 | zh_TW |
| dc.contributor.author (Authors) | 李佳紋 | zh_TW |
| dc.contributor.author (Authors) | Lee, Chia-Wen | en_US |
| dc.creator (作者) | 李佳紋 | zh_TW |
| dc.creator (作者) | Lee, Chia-Wen | en_US |
| dc.date (日期) | 2000 | en_US |
| dc.date.accessioned | 31-Mar-2016 14:44:38 (UTC+8) | - |
| dc.date.available | 31-Mar-2016 14:44:38 (UTC+8) | - |
| dc.date.issued (上傳時間) | 31-Mar-2016 14:44:38 (UTC+8) | - |
| dc.identifier (Other Identifiers) | A2002001936 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/83243 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 統計學系 | zh_TW |
| dc.description (描述) | 87354017 | zh_TW |
| dc.description.abstract (摘要) | 在一場競爭性的考試中，我們如何決定要錄取或是淘汰這個考生？傳統的紙筆測驗方式固定題目總數，考生回答相同的題目，60分以上為及格。隨著電腦科技的快速發展，測驗型式也由紙筆轉換成電腦操作，也就是電腦化測驗。所謂電腦化效標參照測驗（computerized criterion-referenced test）即是把考生能力分成兩個以上的程度區間，藉由考生的答題狀況來判斷考生應歸屬於哪個區間。這種測驗方式與傳統測驗不同的是：電腦化測驗是依據考生的答題表現來給題，考生能力越偏離分段點（thresholds），需要的題數就越少；越接近分段點，需要的題數就越多。 | zh_TW |
| dc.description.abstract (摘要) | In a traditional Paper-and-Pencil (p-and-p) test, all examinees have same test items and the number of items is fixed. The examinee fails or passes the exam depends on if his/her test score exceeds a predetermined scores, say, 60 out of 100. However, with the rapid advancement of modern computer technology, the test form has been converted from p-and-p to computer terminal. Computerized criterion-referenced classify the examinees into more than two categories according to his/her answers to the items. It differs from the conventional standardized test in that the selection of test items is tailored to each examinee’s ability level. Typically, those examinees with high ability or low ability will have shorter average test length (ATL) than examinees with ability that close to thresholds. | en_US |
| dc.description.tableofcontents | 封面頁證明書致謝詞論文摘要目錄表目錄圖目錄1 Introduction1.1 Item Response Theory1.2 Sequential Probability Ratio Test1.3 Confidence Intervals with Beta Protection2 Methods for Criterion-referenced Test2.1 Multiple-Category Classification Using a SPRT2.2 Fully Sequential Procedure2.3 Maximum Likelihood Estimate and Bias Correction for MLE2.4 Choice of Discrimination Parameter3 Computerized Mastery Test3.1 Items, Ability and Threshold Selection3.2 Simulation Results3.3 Tables and Figures for CMT4 Computerized Criterion-referenced Test4.1 Simulation Procedures4.2 Simulation Results4.3 Tables and Figures for Criterion-referenced Test5 Conclusions and DiscussionReferences | zh_TW |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#A2002001936 | en_US |
| dc.subject (關鍵詞) | 電腦化效標參照測驗 | zh_TW |
| dc.subject (關鍵詞) | 試題反應理論 | zh_TW |
| dc.subject (關鍵詞) | 貝它保護 | zh_TW |
| dc.subject (關鍵詞) | Computerized Criterion-referenced Test | en_US |
| dc.subject (關鍵詞) | Item Response Theory | en_US |
| dc.subject (關鍵詞) | beta-protection | en_US |
| dc.title (題名) | 序貫方法於電腦化效標參照測驗之應用 | zh_TW |
| dc.title (題名) | Sequential Methods in Computerized Criterion-referenced Test | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | Chang, Hua-Hua and Ying, Zhiliang (1997a). Nonlinear sequential designs for logistic item response theory models with applications to computerized adaptive tests. The Annals of Statistics. Tentatively accepted.Epstein, K. (1978). Applications of sequential testing procedures to performance testing. In D. J. Weiss (Ed.), Proceedings of the 1977 computerized adaptive testing conference. Minneapolis: university of Minnesota, Department of Psychology, Psychometric Methods Program.Ferguson, R. L. (1969a). Computer-assisted Criterion-referenced Measurement (working Paper No. 41). Pittsburgh, PA: University of Pittsburgh, Learning and Research Development Center. (Eric Document Reproduction Service No. ED 037 089)Ferguson, R. L. (1969b). The Development, implementation, and evaluation of a computer-assisted branched test for a program of individually prescribed instruction. Unpublished doctoral dissertation, University of Pittsburgh, PA. (University Microfilms No. 70-4530)Hambleton, R. K., Swaminathan, H. and Rogers, H. Jane (1991). Fundamentals of Item Response Theory. Newbury Park, CA:Sage.Juhlin, K. D. (1985). Sequential and non-sequential confidence intervals with guaranteed coverage probability and beta-protection. PhD Dissertation, University of Illinois.Kingsbury, G. Gage and Weiss, D. J. (1983). A comparison of IRT-based adaptive mastery test and a sequential mastery testing procedure. In D.J. Weiss (Ed.), New Horizons in Testing: Latent Trait Test Theory and Computerized Adaptive Testing (pp. 237-255). New York: Academic Press.Lewis, C. and Sheehan, K. (1990). Using Bayesian decision theory to design a computerized mastery test. Applied Psychological Measurement, 14(4), 367-386.Lord, F. M. (1952). A Theory of Test Scores (Psychometric Monograph No. 7). Iowa City, IA: Psychometric Society.Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Hillsdale, NJ: Lawrence Erlbaum.Lord, F. M. (1983). Unbiased estimators of ability parameters, of their variance, and of their parallel-forms reliability. Psychometrika, 48(2), 233-244. | zh_TW |
