Hello,
I have data in SPSS from a scale I did, I have 1 variable which is age (separated into 3 categories using values of 1-3), a 2nd variable which is gender (again separated into 3 categories using value), and finally, I have a 3rd IV of education level (this is separated into 5 categories), I need to compare each category against their scores on a 10 item scale.
I am measuring attitudes, each person completed the same scale and I have input them into SPSS but I am unsure which test I need to do to see if there is a difference between each variable's category and their scale scores.
To compare the scale scores across different categories of age, gender, and education level, you can use analysis of variance (ANOVA) or its non-parametric counterpart, the Kruskal-Wallis test, depending on the assumptions of your data. If you're interested in pairwise comparisons between categories after running ANOVA, you can use post hoc tests like Bonferroni, Tukey, or LSD to identify which specific categories differ significantly from each other. These tests help avoid the issue of multiple comparisons inflating the Type I error rate.
using Multinomial logistic regression in SPSS (analyze, Regression, Multinomial logistic,Reference category’ tab under ‘Dependent’ to re-set the reference category to the first group,Click on Statistics for Classification Table and Goodness of fit)
In your case, you have one dependent variable and three independent variables, which will result in comparing a scale variable between different groups resulting from different combinations of variables. For this analysis,you need to use Independent Factorial ANOVA. Another option is to use the multiple regression analysis. Best wishes
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