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The relations among inhibition and interference control functions: a latent-variable analysis.
Journal of experimental psychology. General, 2004N. Friedman, A. Miyake
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1998
A powerful approach to probabilistic modelling involves supplementing a set of observed variables with additional latent, or hidden, variables. By defining a joint distribution over visible and latent variables, the corresponding distribution of the observed variables is then obtained by marginalization.
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A powerful approach to probabilistic modelling involves supplementing a set of observed variables with additional latent, or hidden, variables. By defining a joint distribution over visible and latent variables, the corresponding distribution of the observed variables is then obtained by marginalization.
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The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models
Journal of Personality Assessment, 2018Daniel M. McNeish, Ji An, G. Hancock
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