多向度試題反應理論用於次級量尺分數估計之模擬研究

碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 97 === The purpose of this paper is to evaluate the performances of the different subscale scores estimation methods by using the simulation data in two testing design situations, the single test design and the equated test design with non-equivalent groups with anc...

Full description

Bibliographic Details
Main Authors: Jia-Ying,Hsieh, 謝佳穎
Other Authors: Bor-Chen,Kuo
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/48895182738109018794
id ndltd-TW-097NTCTC629016
record_format oai_dc
spelling ndltd-TW-097NTCTC6290162016-05-06T04:11:14Z http://ndltd.ncl.edu.tw/handle/48895182738109018794 多向度試題反應理論用於次級量尺分數估計之模擬研究 Jia-Ying,Hsieh 謝佳穎 碩士 國立臺中教育大學 教育測驗統計研究所 97 The purpose of this paper is to evaluate the performances of the different subscale scores estimation methods by using the simulation data in two testing design situations, the single test design and the equated test design with non-equivalent groups with anchor test design (NEAT) and balanced incomplete block (BIB). In the single test design, factors taken into consideration include the following: a number of the subscales, the test lengths of the subscales, the correlation coefficients between the subscales, and the sample sizes. In the equated test design, factors taken into consideration include the following: the ratios of the subscales, the correlation coefficients between the subscales, and the sample sizes. The major findings of this study are summarized as follows: 1. The estimation errors decrease as the correlation coefficients between the subscales increases; however, the estimation errors are not impacted by the sample sizes. 2. In the single test design, the estimation errors increases as a number of the subscales increase and the estimation errors decrease as the test lengths decrease. 3. In the equated test design, the estimation errors increase as the ratios of the subscales increase and the estimation errors with NEAT and BIB are almost the same. Bor-Chen,Kuo 郭伯臣 2009 學位論文 ; thesis 0 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 97 === The purpose of this paper is to evaluate the performances of the different subscale scores estimation methods by using the simulation data in two testing design situations, the single test design and the equated test design with non-equivalent groups with anchor test design (NEAT) and balanced incomplete block (BIB). In the single test design, factors taken into consideration include the following: a number of the subscales, the test lengths of the subscales, the correlation coefficients between the subscales, and the sample sizes. In the equated test design, factors taken into consideration include the following: the ratios of the subscales, the correlation coefficients between the subscales, and the sample sizes. The major findings of this study are summarized as follows: 1. The estimation errors decrease as the correlation coefficients between the subscales increases; however, the estimation errors are not impacted by the sample sizes. 2. In the single test design, the estimation errors increases as a number of the subscales increase and the estimation errors decrease as the test lengths decrease. 3. In the equated test design, the estimation errors increase as the ratios of the subscales increase and the estimation errors with NEAT and BIB are almost the same.
author2 Bor-Chen,Kuo
author_facet Bor-Chen,Kuo
Jia-Ying,Hsieh
謝佳穎
author Jia-Ying,Hsieh
謝佳穎
spellingShingle Jia-Ying,Hsieh
謝佳穎
多向度試題反應理論用於次級量尺分數估計之模擬研究
author_sort Jia-Ying,Hsieh
title 多向度試題反應理論用於次級量尺分數估計之模擬研究
title_short 多向度試題反應理論用於次級量尺分數估計之模擬研究
title_full 多向度試題反應理論用於次級量尺分數估計之模擬研究
title_fullStr 多向度試題反應理論用於次級量尺分數估計之模擬研究
title_full_unstemmed 多向度試題反應理論用於次級量尺分數估計之模擬研究
title_sort 多向度試題反應理論用於次級量尺分數估計之模擬研究
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/48895182738109018794
work_keys_str_mv AT jiayinghsieh duōxiàngdùshìtífǎnyīnglǐlùnyòngyúcìjíliàngchǐfēnshùgūjìzhīmónǐyánjiū
AT xièjiāyǐng duōxiàngdùshìtífǎnyīnglǐlùnyòngyúcìjíliàngchǐfēnshùgūjìzhīmónǐyánjiū
_version_ 1718260816891871232