Sequence analysis metrics followed by PCA and K-means clustering identify latent groups in ordinal EMA data that capture temporal dynamics and relate to cognitive performance more effectively than means or standard latent class methods.
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Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
Sequence analysis metrics followed by PCA and K-means clustering identify latent groups in ordinal EMA data that capture temporal dynamics and relate to cognitive performance more effectively than means or standard latent class methods.