# General SEM Discussions

## Moderation models: Moderators as interaction terms, and model drawing

A couple of questions.

- Does anyone have a pointer to path diagrams that are complete (i.e with residuals and covariances?)
- Using RAM, can the moderation be implemented as an algebra on the X->Y path?

## Logistic regression correcting for twin data

I would like to run a simple logistic regression model, but with a classical twin dataset, correcting for the fact that they are twins and their zygosity MZ or DZ. Is there a way for such analysis using OpenMx?

Thanks!

- Read more about Logistic regression correcting for twin data
- 2 comments
- Log in or register to post comments

## SEM vs MANOVA: What shall I use?

I need help... My PhD thesis is about consumer behaviour analysis. In detail I look at what actions by companies trigger what customer reactions. In my quantitative study, I would like to look at the following dependent variables:

Behavior (with respective items)

Attitude (...)

Emotion (...)

And the following independent variables:

Opportunity for explanation (given/not given)

Alternative presented (yes/no)

My question is... Do I really need SEM? My professor wants me to do so, but I would rather like to use an experimental MANOVA design.

- Read more about SEM vs MANOVA: What shall I use?
- 3 comments
- Log in or register to post comments

## Creating a latent variable for composite variable.

A quick response will be highly helpful as I'm reaching the deadline of my project submission and I'm stuck due to this problem.

## Observed variable in structural component of SEM

My question is that is it possible to incorporate an observed variable in the structural component of SEM which has an effect on a latent variable or is being affected by a latent variable?

I have attached a pictoral representation of my question.

Please help.

Thank you in advance,

Sahil.

## Importance of a path v/s factor

I have a very general question that I would like to seek some help with. I know that the direct\indirect impacts for each variable in the model can be computed using a multiplication rule. However, this gives us the importance of the variable and not the path. How can I understand the importance of the path, should I simply add the co-efficients?

I would really appreciate a quick revert!

Thanks,

Vaibhav

- Read more about Importance of a path v/s factor
- 1 comment
- Log in or register to post comments

## Model with latent variables

I have a very general question regarding Covariance based SEMs. I have a full SEM model (with latent variables) and my client is wondering how a change in one attribute for one of the factors could affect the end dependent variable. Are standard SEM methodologies capable of answering this question? If so, how should I approach it?

A quick revert will be really helpful! Thanks!

- Read more about Model with latent variables
- 1 comment
- Log in or register to post comments

## Posterior predictive distribution and SEM

- Read more about Posterior predictive distribution and SEM
- 1 comment
- Log in or register to post comments

## How to conduct SEM on multiple datasets resulting from MI?

## Factor loadings are regression coefficients

I’d appreciate your feedback with regard to the following basic questions.

Let’s construct a SEM model where 3 measurable variables: X, Y and Z interact with a latent variable G and assume that the factor loadings of latent variable G over the measurable variables X, Y and Z are 0.3, 0.4 and 0.1 respectively. The model is constructed sourced on the correlation matrix (3x3) of the measurable variables.

Then, as far as factor loadings are considered as regression coefficients:

- Read more about Factor loadings are regression coefficients
- 6 comments
- Log in or register to post comments

#### Pagination

- Previous page
- Page 4
- Next page