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  1. Mplus Discussion >> Using a control variable in SEM

    Oct 17, 2007 · Does this mean social desirability is now controlled for both DV and IV? 3. To develop a model in SEM, should I construct a model with good fit and then add the social …

  2. Mplus Discussion >> Control variables in SEM

    Jun 5, 2006 · Controlling for a variable means explaining relationship between independent and dependent variables AFTER we extract the impact of control variable on the DV. In other …

  3. The mediator variable agg5 is the aggression score in Grade 5 after the intervention ended. The outcome juvcrt is a binary variable indicating whether or not the student obtained a juvenile …

  4. Then, a follow up analysis determines the relationship between the latent class variable and the auxiliary variables. The details of the Mplus implementation of the 3-step approach and …

  5. the latent categorical variable for further analysis and exploring the relationship between that variable and other, auxiliary observed variables. If we use a direct approach where the …

  6. Mplus Discussion >> Mediation/Interaction: 4-way decomposition

    The controlled direct effect, which is the amount of change in the Y variable when the mediator is constant, but the X variable is changed from conditional value a0 to a1.

  7. Mplus Discussion >> Path analysis with a mix of categorical and ...

    I am analyzing a path analysis model with one endogenous variable (the primary outcome) being categorical (binary) and the other (a potential mediator) being continuous. Is the aim in my …

  8. Mplus Discussion >> CFA with control variables

    Apr 26, 2011 · Mplus Discussion > Confirmatory Factor Analysis >Topics | Tree View | Search | Help/Instructions | Program Credits Administration

  9. Bengt O. Muth?n - Publications (Mixture Modeling)

    Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (ed.), Handbook of quantitative methodology for the social sciences.

  10. Feb 13, 2023 · The Gibbs sampler generates iteratively a sequence of parameters, latent variables, and missing observations, which upon convergence can be used to construct the …