Applying and Interpreting Mixture Distribution Latent State-Trait Models
Latent state-trait (LST) models are commonly applied to determine the extent to which observed variables reflect trait-like versus state-like constructs. Mixture distribution LST (M-LST) models relax the assumption of population homogeneity made in traditional LST models, allowing researchers to ide...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Routledge
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |