Učitavanje...
Fitting Latent Growth Models with Small Sample Sizes and Non-normal Missing Data
This study investigates the performance of robust ML estimators when fitting and evaluating small sample latent growth models (LGM) with non-normal missing data. Results showed that the robust ML methods could be used to account for non-normality even when the sample size is very small (e.g., N <...
Spremljeno u:
| Izdano u: | Int J Behav Dev |
|---|---|
| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2021
|
| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7928428/ https://ncbi.nlm.nih.gov/pubmed/33664535 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0165025420979365 |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|