Polychoric correlations for ordered categories using the EM algorithm

Kenpei Shiina*, Takashi Ueda, Saori Kubo

*この研究の対応する著者

研究成果

1 被引用数 (Scopus)

抄録

A new method for the estimation of polychoric correlations is proposed in this paper, which uses the Expectation-Maximization (EM) algorithm and the Conditional Covariance Formula. Simulation results show that this method attains the same level of accuracy as other methods, and is robust to deteriorated data quality.

本文言語English
ホスト出版物のタイトルQuantitative Psychology - The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017
編集者Jorge Gonzalez, Rianne Janssen, Marie Wiberg, Dylan Molenaar, Steven Culpepper
出版社Springer New York LLC
ページ247-259
ページ数13
ISBN(印刷版)9783319772486
DOI
出版ステータスPublished - 2018
イベント82nd Annual meeting of the Psychometric Society, 2017 - Zurich, Switzerland
継続期間: 2017 7 172017 7 21

出版物シリーズ

名前Springer Proceedings in Mathematics and Statistics
233
ISSN(印刷版)2194-1009
ISSN(電子版)2194-1017

Other

Other82nd Annual meeting of the Psychometric Society, 2017
国/地域Switzerland
CityZurich
Period17/7/1717/7/21

ASJC Scopus subject areas

  • 数学 (全般)

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