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Modeling psychological attributes:Merits and drawbacks of taxometrics and latent variable mixture models

• Authors : Hillen, Robert

• Source: Hillen , R 2017 , ' Modeling psychological attributes : Merits and drawbacks of taxometrics and latent variable mixture models ' , Doctor

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Recommended practices in Latent Class Analysis using the Open-Source R-Package tidySEM

• Authors : Van Lissa, C. J.; Garnier-Villarreal, M.; Anadria, D.

Subjects: Free open-source software; Latent class analysis; Mixture models

• Source: Van Lissa , C J , Garnier-Villarreal , M & Anadria , D 2023 , ' Recommended practices in Latent Class Analysis using the Open-Source R-Package tidySEM ' , Structural Equation Modeling .

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Mixture models for ordinal data

• Authors : Breen, R.; Luijkx, R.

• Source: Breen , R & Luijkx , R 2010 , ' Mixture models for ordinal data ' , Sociological Methods and Research , vol. 39 , no. 1 , pp. 3-24 .

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Latent class trees with the three-step approach

• Authors : Van den Bergh, Mattis; Vermunt, Jeroen K.

Subjects: Latent classes; three-step approach; latent class trees

• Source: Van den Bergh , M & Vermunt , J K 2019 , ' Latent class trees with the three-step approach ' , Structural Equation Modeling , vol. 26 , no. 3 , pp. 481-492 .

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Building latent class growth trees

• Authors : Van Den Bergh, Mattis; Vermunt, Jeroen K.

Subjects: MIXTURE; MODEL; NUMBER

• Source: Van Den Bergh , M & Vermunt , J K 2018 , ' Building latent class growth trees ' , Structural Equation Modeling , vol. 25 , no. 3 , pp. 331-342 . https://doi.org/10.1080/10705511.2017.1389610

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Bayesian latent class models for the multiple imputation of categorical data

• Authors : Vidotto, Davide; Vermunt, Jeroen K.; Van Deun, Katrijn

Subjects: Bayesian mixture models; latent class models; missing data

• Source: Vidotto , D , Vermunt , J K & Van Deun , K 2018 , ' Bayesian latent class models for the multiple imputation of categorical data ' , Methodology: European Journal of

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Bayesian multilevel latent class models for the multiple imputation of nested categorical data

• Authors : Vidotto, Davide; Vermunt, Jeroen K.; van Deun, Katrijn

Subjects: Bayesian mixture models; latent class models; missing data

• Source: Vidotto , D , Vermunt , J K & van Deun , K 2018 , ' Bayesian multilevel latent class models for the multiple imputation of nested categorical data ' , Journal of

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The impact of ordinal scales on Gaussian mixture recovery

• Authors : Haslbeck, Jonas M.B.; Vermunt, Jeroen K.; Waldorp, Lourens J.

Subjects: Gaussian Mixture Modeling; Misspecification; Mixture modeling

• Source: Haslbeck , J M B , Vermunt , J K & Waldorp , L J 2023 , ' The impact of ordinal scales on Gaussian mixture recovery ' , Behavior Research Methods , vol. 55 , no. 4 , pp.

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General mixture item response models with different item response structures:Exposition with an application to Likert scales

• Authors : Tijmstra, J.; Bolsinova, Maria; Jeon, Minjeong

Subjects: ABILITY; CATEGORY; DISTRIBUTIONS

• Source: Tijmstra , J , Bolsinova , M & Jeon , M 2018 , ' General mixture item response models with different item response structures : Exposition

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Latent class models for classification

• Authors : Vermunt, J.K.; Magidson, J.

• Source: Vermunt , J K & Magidson , J 2003 , ' Latent class models for classification ' , Computational Statistics and Data Analysis , vol. 41 , no. 3-4 , pp. 531-537 .

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