Longitudinal Data Analysis Using Structural Equation Models - John R Nesselroade,John J McArdle
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The authors identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores.
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Aprašymas
The authors identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores.
Vairāk informācijas
| Autors | John R Nesselroade, John J McArdle |
|---|---|
| Izdevējs | American Psychological Association (APA) |
| Izlaides gads | 2014 |
| Vāka tips | Cietais vāks |
| EAN | 9781433817151 |