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Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective - Methodology in the Social Sciences Geiser, Christian (Utah State University, United States) 1. izdevums
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Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective - Methodology in the Social Sciences
Geiser, Christian (Utah State University, United States)
An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.
344 pages
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 4. novembris |
| ISBN13 | 9781462538782 |
| Izdevēji | Guilford Publications |
| Lapas | 344 |
| Izmēri | 236 × 155 × 20 mm · 504 g |
| Valoda | Angļu |
