Robustness of autoencoders for establishing psychometric properties based on small sample sizes: results from a Monte Carlo simulation study and a sports fan curiosity study

BACKGROUND: The principal component analysis (PCA) is known as a multivariate statistical model for reducing dimensions into a representation of principal components. Thus, the PCA is commonly adopted for establishing psychometric properties, i.e., the construct validity. Autoencoder is a neural net...

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Detalles Bibliográficos
Autores principales: Lin, Yen-Kuang, Lee, Chen-Yin, Chen, Chen-Yueh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044230/
https://www.ncbi.nlm.nih.gov/pubmed/35494838
http://dx.doi.org/10.7717/peerj-cs.782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044230/
https://www.ncbi.nlm.nih.gov/pubmed/35494838
http://dx.doi.org/10.7717/peerj-cs.782

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