Multivariate correlation structure modeling

同时考虑多个变量的研究问题在许多领域都很有意义。这笔赠款将开发和评估统计方法，以改善对多个变量之间关联的分析。这项检查将在行为、社会和健康科学中常见的不同人群、样本和研究条件下进行。特别是，将考虑在多变量非正态性、混合分布、离群值和缺失数据的条件下，在一系列样本量条件下，

Research questions involving the simultaneous consideration of multiple variables are of interest in numerous fields. This grant will develop and evaluate statistical methodologies to improve the analysis of the associations among multiple variables. This examination will be conducted across diverse population, sample, and study conditions which are commonly observed in the behavioral, social, and health sciences. In particular, the advancement of this methodology will be be considered under conditions of multivariate non-normality, mixture distributions, outliers, and missing data across a range of sample size conditions