Structural Equation Modeling: A Multidisciplinary Journal, 1532-8007

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  1. Mixture simultaneous factor analysis for capturing differences in latent variables between higher level units of multilevel data

    De Roover, K., Vermunt, J. K., Timmerman, M. E. & Ceulemans, E., 2017, In : Structural Equation Modeling: A Multidisciplinary Journal. 24, 4, p. 506-523

    Research output: Contribution to journalArticleAcademicpeer-review

  2. When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index

    Bonifay, W. E., Reise, S. P., Scheines, R. & Meijer, R., 2015, In : Structural Equation Modeling: A Multidisciplinary Journal. 22, 4, p. 504-516 13 p.

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  3. Using Exploratory Factor Analysis to Determine the Dimensionality of Discrete Responses

    Barendse, M., Oort, F. J. & Timmerman, M., 2-Jan-2015, In : Structural Equation Modeling: A Multidisciplinary Journal. 22, 1, p. 87-101 15 p.

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  4. Reporting Monte Carlo Studies in Structural Equation Modeling

    Boomsma, A., 1-Jul-2013, In : Structural equation modeling-A multidisciplinary journal. 20, 3, p. 518-540 23 p.

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  5. Basics of Structural Equation Modeling

    Boomsma, A., 2000, In : Structural equation modeling-A multidisciplinary journal. 7, 1, p. 142-148 7 p.

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