I am analyzing the safety aspects of two food production sites producing similar products. I wish to compare these geographically distinct sites across seasons as well as processing steps. I have 4 independent variables (none of which are continuous) and 10 dependent variables. I am not looking for interrelationships between the dependent variables. I have explored the Multivariate analysis in SPSS to analyze my data. Is this the correct choice of statistical test for the above problem? Is there a more suitable test for the same? There are suggestions for Regression and Repeated measures. Any thoughts?
Hi,
In case of multiple dependent variables and multiple independent ones, we use the Multivariate Multiple Regression*
You can find more information here: Chapter Multivariate Multiple Regression
Best regards,
Note: Multivariate Multiple Regression should not be confused with Multivariate Regression which is used in the case of one independant variable and 2 or more dependant ones.
I am not sure of the goal of your analysis(prediction or explanation-see Shmueli below). However it sounds like you may need to do variable selection on both the DVs and IVs independently. These references may help you. Best David Booth
https://www.researchgate.net/publication/48178170_To_Explain_or_to_Predict
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