Português
Deviations from normality: Effects on the goodness-of-fit of latent growth curve models
Event Title
XXVII Meeting of the Portuguese Association of Classification and Data Analysis,
Year (definitive publication)
2020
Language
English
Country
Portugal
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Abstract
This study aims to investigate the effect of data deviations from normality on the goodness-of-fit measures in Latent Growth Curve Models (LGCM). Using the VITA method to obtain data generating non-normal distributions, a Monte Carlo simulation study was conducted in order to assess the effects on the values of goodness-of-fit indices. LGCM with unconditional linear growth are considered. Three time points and sample sizes ranging from 50 to 1000 observations are used. The impacts of such deviations on fit measures are discussed.
Acknowledgements
Authors would like to thank Nj˚al Foldnes for his advice regarding the use of the VITA method. This work was supported by Fundação para a Ciência e a Tecnologia, grant UID/GES/00315/2019.
Keywords
Goodness-of-fit indices,LGCM,Non-normality Data,VITA Method
Fields of Science and Technology Classification
- Mathematics - Natural Sciences
- Psychology - Social Sciences
- Economics and Business - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/GES/00315/2019 | FCT |
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