If you think the variable's meaning is related to other variables with high loadings on factor 1, try to rotate the factors to get a more interpretable factor structure. If that fails, perhaps your theoretical approach, or your interpretation of that specific variable, is wrong. Perhaps it is measuring something else.
Hector
----- Mensaje original -----
De: DR VEENA Joshi <
[hidden email]>
Fecha: Miércoles, Septiembre 6, 2006 12:47 pm
Asunto: Using factor scores
> Hi,
>
> I have 20 questions (variables) where likert scale ( 1 to 5 ) is used.
> I have got four factors.
> One of the variable should be in factor 1 (loading = 0.527)but the
> loading for the same variable is higher in factor 2 (loading = 0.547).
> Can I retain this variable in factor 1?
>
> I have saved the factor scores. Do I have to give any weights because
> I forced this variable to be in factor1?
>
> Can I use my a variable which is also measured on likert scale as
> outcome variable and use linear regression?
> OR
> Neglecting Neutral, can I use logistic regression for disagree (after
> combinig strongly disagree and disagree) and agree?(after combinig
> strongly agree and agree).
>
> Regds
>
> Veena
>
Locked
