R square in latent regregression

[gonzalezdepaz]

 
After run an analysis and produce the estimated coefficients of the regression model from an 24 item set and four dimensions, I’m stuck in trying to obtain the R-square values for each of the dimensions of the model.  I wonder if you could send me the formulae, or any advice to compute these determination coefficients in ConQuest or any collateral software as it is in the Conquest manual on chapters of latent regression (both unidimensional and multidimensional).

 

Thanks for any advice,

Luis
 

[ConQuest]

Luis, to get the R-squared do a run with regressors and one without.  In each case you'll get an estimate of the (conditional) variance of the latent variable.  Let's call V, the variance without regressors and VR the variance with regressors.  The R-squared = 1-VR/V=(V-VR)/V

ie the proporation of total variance that is explained by the regressors.

[gonzalezdepaz]

Excellent!!

Thanks!!

Luis

[gonzalezdepaz]

After running a Regression analysis I can see the coefficients on the table, but the summary states:

Regression: not applicable.

What does it mean?

Thanks

Luis

[ConQuest]

luis, the formula is in the previous post