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 words, we …

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 desirability control …

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.

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 court …

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

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 path …

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

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 Lanza's approach are …

I think you are considering an unordered categorical (nominal) variable at two time points and want to relate these two variables. This can be done by letting the variables be represented by perfectly …

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 auxiliary variables are …