Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data
Publication in refereed journal


引用次數
替代計量分析
.

其它資訊
摘要Two-level structural equation models with mixed continuous and polytomous data and nonlinear structural equations at both the between-groups and within-groups levels are important but difficult to deal with. A Bayesian approach is developed for analysing this kind of model. A Markov chain Monte Carlo procedure based on the Gibbs sampler and the Metropolis-Hasting algorithm is proposed for producing joint Bayesian estimates of the thresholds, structural parameters and latent variables at both levels. Standard errors and highest posterior density intervals are also computed. A procedure for computing Bayes factor, based on the key idea of path sampling, is established for model comparison.
著者Song XY, Lee SY
期刊名稱British Journal of Mathematical and Statistical Psychology
出版年份2004
月份5
日期1
卷號57
出版社BRITISH PSYCHOLOGICAL SOC
頁次29 - 52
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 2022-11-01 於 23:21