Structural Equation Models and Mixture Models With Continuous Nonnormal Skewed Distributions

By T. Asparouhov, B. Muthén. 2016

122 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/15541c420b4463c0847f126f0027150874aaaa30

Citations in the corpus

• Why Ordinal Variables Can (Almost) Always Be Treated as Continuous Variables: Clarifying Assumptions of Robust Continuous and Ordinal Factor Analysis Estimation Methods (2020, unknown): “It should be noted that there is active research in factor analysis for continuous variables with non-normally distributed factors or residuals that can be skewed, bounded, or are mixtures of distributions (Song et al., 2010; Kelava and Brandt, 2014; Zhang et al., 2014; Asparouhov and Muthén, 2016; ”