Correct analysis in SPSS?

[anotherstatistic]

Hi

I have a data set containing;
• 3 IV's of interest (2 scale items, 1 nominal item)
• 1 DV on interest (scale item)

1) First I need to examine the potential effect of the (3 level) Nominal IV on the (scale) DV.

2) Then I need to examine any potential effects of the 2 (scale) IV's on the (scale) DV.

Examining all 3 IV’s for potential interactions effecting is the DV would also potentially be useful.

What might be the best way to set this out in SPSS?

(M)ANOVA with a priori, 3 way with interaction effects etc. etc.?

A nudge in the right direction episode be immensely appreciated

 

[Karabiner]

Examining all 3 IV’s for potential interactions effecting is the DV would also potentially be useful.

You could use multiple linear regression. In SPSS, you will have to turn a nominal variable
with 3 leveles into 2 dummy-variables first (the third level needs no dummy variable), and
you will have to compute the interaction variables first by hand before including them
into the analysis.

Alternatively, you could consider univariate analyis of variance with 2 factors and an interval
scaled "covariate". Both types of analysis require an adequate sample size (e.g. each of the
3*3 cells in the ANOVA should contain at least 5 or better 8 observations or so).

With kind regards

Karabiner