Non-linear structural equation models with correlated continuous and discrete data
Publication in refereed journal


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摘要Structural equation models (SEMs) have been widely applied to examine interrelationships among latent and observed variables in social and psychological research. Motivated by the fact that correlated discrete variables are frequently encountered in practical applications, a non-linear SEM that accommodates covariates, and mixed continuous, ordered, and unordered categorical variables is proposed. Maximum likelihood methods for estimation and model comparison are discussed. One real-life data set about cardiovascular disease is used to illustrate the methodologies.
著者Lee SY, Song XY, Cai JH, So WY, Ma CW, Chan CNJ
期刊名稱British Journal of Mathematical and Statistical Psychology
出版年份2009
月份5
日期1
卷號62
出版社Wiley: 12 months
頁次327 - 347
國際標準期刊號0007-1102
電子國際標準期刊號2044-8317
語言英式英語
Web of Science 學科類別Mathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS; Psychology; Psychology, Experimental; PSYCHOLOGY, EXPERIMENTAL; Psychology, Mathematical; PSYCHOLOGY, MATHEMATICAL; Statistics & Probability; STATISTICS & PROBABILITY

上次更新時間 2022-16-01 於 00:11