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題名 Sequential estimation in variable length computerized adaptive testing
作者 張源俊
Chang,Yuan-chin Ivan
日期 2004-04
上傳時間 19-Dec-2008 14:53:22 (UTC+8)
摘要 With the advent of modern computer technology, there have been growing efforts in recent years to computerize standardized tests, including the popular Graduate Record Examination (GRE), the Graduate Management Admission Test (GMAT) and the Test of English as a Foreign Language (TOEFL). Many of such computer-based tests are known as the computerized adaptive tests, a major feature of which is that, depending on their performance in the course of testing, different examinees may be given with different sets of items (questions). In doing so, items can be efficiently utilized to yield maximum accuracy for estimation of examinees’ ability traits. We consider, in this article, one type of such tests where test lengths vary with examinees to yield approximately same predetermined accuracy for all ability traits. A comprehensive large sample theory is developed for the expected test length and the sequential point and interval estimates of the latent trait. Extensive simulations are conducted with results showing that the large sample approximations are adequate for realistic sample sizes.
關聯 Journal of Statistical Planning and Inference, 121(2), 249-264
資料類型 article
dc.creator (作者) 張源俊zh_TW
dc.creator (作者) Chang,Yuan-chin Ivan-
dc.date (日期) 2004-04en_US
dc.date.accessioned 19-Dec-2008 14:53:22 (UTC+8)-
dc.date.available 19-Dec-2008 14:53:22 (UTC+8)-
dc.date.issued (上傳時間) 19-Dec-2008 14:53:22 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/18180-
dc.description.abstract (摘要) With the advent of modern computer technology, there have been growing efforts in recent years to computerize standardized tests, including the popular Graduate Record Examination (GRE), the Graduate Management Admission Test (GMAT) and the Test of English as a Foreign Language (TOEFL). Many of such computer-based tests are known as the computerized adaptive tests, a major feature of which is that, depending on their performance in the course of testing, different examinees may be given with different sets of items (questions). In doing so, items can be efficiently utilized to yield maximum accuracy for estimation of examinees’ ability traits. We consider, in this article, one type of such tests where test lengths vary with examinees to yield approximately same predetermined accuracy for all ability traits. A comprehensive large sample theory is developed for the expected test length and the sequential point and interval estimates of the latent trait. Extensive simulations are conducted with results showing that the large sample approximations are adequate for realistic sample sizes.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Journal of Statistical Planning and Inference, 121(2), 249-264en_US
dc.title (題名) Sequential estimation in variable length computerized adaptive testingen_US
dc.type (資料類型) articleen