Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
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Principal Cluster Axes: A Projection Pursuit Index for the Preservation of Cluster Structures in the Presence of Data Reduction.On the Relation Between the Linear Factor Model and the Latent Profile Model.Local Optima in Mixture Modeling.Selection Between Linear Factor Models and Latent Profile Models Using Conditional Covariances.Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model.A note on the expected value of the Rand index.Are People Mindful in Different Ways? Disentangling the Quantity and Quality of Mindfulness in Latent Profiles and Exploring their Links to Mental Health and Life EffectivenessComplementary Variable- and Person-Centered Approaches to the Dimensionality of Psychometric Constructs: Application to Psychological Wellbeing at WorkDisentangling Shape from Level Effects in Person-Centered Analyses: An Illustration Based on University Teachers’ Multidimensional Profiles of Effectiveness
P2860
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P2860
Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
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2007 nî lūn-bûn
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
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Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
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type
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Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
@en
Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
@nl
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Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
@en
Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
@nl
P2860
P1476
Examining Factor Score Distributions to Determine the Nature of Latent Spaces.
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P2093
Douglas Steinley
Roderick P McDonald
P2860
P304
P356
10.1080/00273170701341217
P577
2007-01-01T00:00:00Z