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Steven B. Peutz
Steven B. Peutz
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Usually in designs like yours where you would use multiple categorical predictor variables with a categorical DV (dependent variable) you would indeed not go for ANOVA (since this requires a higher measurement level for your dependent variable), but 'loglinear analysis' instead is commonly used for this and will be appropriate*appropriate here.
Hope this helps and good luck with your reseearchresearch!

*(However, I am not 100% sure you can run this (e.g. in SPSS) with two DV's, and for hypothesis testing simply running two separate tests might not be perfect as you double your chances for a false positive, depending on your exact hypotheses. So that is something to keep in mind)

Usually in designs like yours where you would use multiple categorical predictor variables with a categorical DV (dependent variable) you would indeed not go for ANOVA (since this requires a higher measurement level for your dependent variable), but 'loglinear analysis' instead is commonly used for this and will be appropriate* here.
Hope this helps and good luck with your reseearch!

*(However, I am not 100% sure you can run this (e.g. in SPSS) with two DV's, and for hypothesis testing simply running two separate tests might not be perfect as you double your chances for a false positive, depending on your exact hypotheses. So that is something to keep in mind)

Usually in designs like yours where you would use multiple categorical predictor variables with a categorical DV (dependent variable) you would indeed not go for ANOVA (since this requires a higher measurement level for your dependent variable), but 'loglinear analysis' instead is commonly used for this and will be appropriate here.
Hope this helps and good luck with your research!

Source Link
Steven B. Peutz
Steven B. Peutz
  • 78
  • 7

Usually in designs like yours where you would use multiple categorical predictor variables with a categorical DV (dependent variable) you would indeed not go for ANOVA (since this requires a higher measurement level for your dependent variable), but 'loglinear analysis' instead is commonly used for this and will be appropriate* here.
Hope this helps and good luck with your reseearch!

*(However, I am not 100% sure you can run this (e.g. in SPSS) with two DV's, and for hypothesis testing simply running two separate tests might not be perfect as you double your chances for a false positive, depending on your exact hypotheses. So that is something to keep in mind)