- Thread starter oscarwukaka
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The categories are ordered accoring to degree of overlap, i.e. ordinal scale.

With kind regards

Karabiner

With kind regards

Karabiner

What does that second scale actually measure?

And why do you want to combine the two measuerements - what is idea behind that, and what do

you want to do with the resulting combination?

With kind regards

Karabiner

What does that second scale actually measure?

And why do you want to combine the two measuerements - what is idea behind that, and what do

you want to do with the resulting combination?

With kind regards

Karabiner

What is the correlation coefficient between the 3-item-scale and the item with the graphical display?

And could you maybe describe how the items of the 3-item-scale are formulated?

With kind regards

Karabiner

And could you maybe describe how the items of the 3-item-scale are formulated?

With kind regards

Karabiner

You could prevent the pains of collapsing both aspects into one measure by using a multivariate approach, i.e.

you use both measures as dependent variables in a multivariate analysis of variance (MANOVA), with

use

This would presuppose that you can use the inclusion variable as interval scale.

With kind regards

Karabiner

You could prevent the pains of collapsing both aspects into one measure by using a multivariate approach, i.e.

you use both measures as dependent variables in a multivariate analysis of variance (MANOVA), with

use

This would presuppose that you can use the inclusion variable as interval scale.

With kind regards

Karabiner

You could prevent the pains of collapsing both aspects into one measure by using a multivariate approach, i.e.

you use both measures as dependent variables in a multivariate analysis of variance (MANOVA), with

use

This would presuppose that you can use the inclusion variable as interval scale.

With kind regards

Karabiner