The simulating study of the item exposure rate in computerized adaptive tests

碩士 === 臺中師範學院 === 數學教育學系 === 93 === For operational computerized adaptive tests, the most important issue is the overexposure item rates. The item having overexposure rate means most of the examinees tested it. When the examinees retest, they tend to test the same items, which leads to serious test...

Full description

Bibliographic Details
Main Authors: Yu Shin Hsieh, 謝友詩
Other Authors: Hsiang Chuan Liu
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/26440347656695851377
id ndltd-TW-093NTCTC480003
record_format oai_dc
spelling ndltd-TW-093NTCTC4800032015-10-13T19:20:28Z http://ndltd.ncl.edu.tw/handle/26440347656695851377 The simulating study of the item exposure rate in computerized adaptive tests 電腦適性測驗題目曝光率之模擬研究 Yu Shin Hsieh 謝友詩 碩士 臺中師範學院 數學教育學系 93 For operational computerized adaptive tests, the most important issue is the overexposure item rates. The item having overexposure rate means most of the examinees tested it. When the examinees retest, they tend to test the same items, which leads to serious test security and equity risks. In this study, discuss the effects of the five item selection criterions — minimum offset difficulty, maximum interval information, KL information, NN criterion, and STR-B — were compared with respect to the precision of the trait estimation and the effect of the item usage at the same item banks. In the result, by the exposure rate and the precision the selection criterions could separate to three groups: maximum interval information and KL information criterions which having more precision of estimation; minimum offset difficulty criterion and STR-B which having more uniform exposure rates; NN criterion which balancing the estimation precision and effective item usage. Hsiang Chuan Liu 劉湘川 2005 學位論文 ; thesis 72 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 臺中師範學院 === 數學教育學系 === 93 === For operational computerized adaptive tests, the most important issue is the overexposure item rates. The item having overexposure rate means most of the examinees tested it. When the examinees retest, they tend to test the same items, which leads to serious test security and equity risks. In this study, discuss the effects of the five item selection criterions — minimum offset difficulty, maximum interval information, KL information, NN criterion, and STR-B — were compared with respect to the precision of the trait estimation and the effect of the item usage at the same item banks. In the result, by the exposure rate and the precision the selection criterions could separate to three groups: maximum interval information and KL information criterions which having more precision of estimation; minimum offset difficulty criterion and STR-B which having more uniform exposure rates; NN criterion which balancing the estimation precision and effective item usage.
author2 Hsiang Chuan Liu
author_facet Hsiang Chuan Liu
Yu Shin Hsieh
謝友詩
author Yu Shin Hsieh
謝友詩
spellingShingle Yu Shin Hsieh
謝友詩
The simulating study of the item exposure rate in computerized adaptive tests
author_sort Yu Shin Hsieh
title The simulating study of the item exposure rate in computerized adaptive tests
title_short The simulating study of the item exposure rate in computerized adaptive tests
title_full The simulating study of the item exposure rate in computerized adaptive tests
title_fullStr The simulating study of the item exposure rate in computerized adaptive tests
title_full_unstemmed The simulating study of the item exposure rate in computerized adaptive tests
title_sort simulating study of the item exposure rate in computerized adaptive tests
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/26440347656695851377
work_keys_str_mv AT yushinhsieh thesimulatingstudyoftheitemexposurerateincomputerizedadaptivetests
AT xièyǒushī thesimulatingstudyoftheitemexposurerateincomputerizedadaptivetests
AT yushinhsieh diànnǎoshìxìngcèyàntímùpùguānglǜzhīmónǐyánjiū
AT xièyǒushī diànnǎoshìxìngcèyàntímùpùguānglǜzhīmónǐyánjiū
AT yushinhsieh simulatingstudyoftheitemexposurerateincomputerizedadaptivetests
AT xièyǒushī simulatingstudyoftheitemexposurerateincomputerizedadaptivetests
_version_ 1718042016150978560