A validity study for Yes/No Angoff standard setting method using cluster analysis

Fen Lan Tseng, Jia Min Chiou, Yao-Ting Sung

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

Test validity is a property of the interpretation assigned to test scores. To provide an objective validating evidence for a standard-referenced assessment is especially important. In this study we utilize a statistical technique, cluster analysis, to explore the validity of one of the expert judgement technique- Yes/No Angoff standard setting method. We first segregated each examinee ability cluster using the hierarchical clustering (HC). Assume that each ability cluster is a Gaussian distribution and that the distribution of each test subject data can be modeled by mixture of Gaussians (MoG), where the mean, variance and the proportion of each cluster were initialized by the HC results. Finally, the ability clustering was implemented by the expectation maximization (EM) method. The results from the traditional standard-setting procedure and cluster analysis were compared. The study suggested that cluster analysis could be applied as a support tool to provide validating information in the process of standard setting for high-stakes achievement tests.

原文英語
主出版物標題2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
編輯Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
發行者Institute of Electrical and Electronics Engineers Inc.
頁面727-731
頁數5
ISBN(電子)9781467376822
DOIs
出版狀態已發佈 - 2016 一月 13
事件12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, 中国
持續時間: 2015 八月 152015 八月 17

出版系列

名字2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

其他

其他12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
國家/地區中国
城市Zhangjiajie
期間2015/08/152015/08/17

ASJC Scopus subject areas

  • 離散數學和組合
  • 建模與模擬
  • 電腦網路與通信
  • 控制與系統工程

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