first compute the scale using "compute"Neeks wrote:Hi everyone!
I have trouble choosing the correct tests to carry out my analysis.
My survey consists of:
- 34 items, each with a 5-point interval scale; they all measure 1 construct;
yes, you can do that via univariate anova.- items asking about gender (male or female - nominal), place of birth (3 levels - nominal), education level (4 levels nominal), education type (2 levels - nominal);
I need to find out how the variables interact:
if gender, place of birth, education type, level of education have any effect on the 34-item construct and if so - what is it?
Problem is, I'm not sure which test to choose from. I was thinking about the Univariate analysis (from gen. linear model) with the construct I'm measuring as the dependant variable and the rest as factors. But I'm not sure if that is correct or what other tests to try out.
you can also do that via anova.Also, since the survey is translated into a different language, I was thinking of giving the original survey (in English) to another group of people in the US (via internet) to see if there are any significant differences. How can I compare the results between the 2 tests?
factor analysis does not tell you if the variables measure what they supposed to, it only tells you if the items measure the same thing.Lastly, I should do a factor analysis (I was thinking Pr. Axis factoring) to make sure they do indeed measure what they are supposed to.
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