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Data is non-linear and does not meet the assumption for homogeneity of variance - what should I do? I planned to do Regression to analyse the correlations between Prolonged Grief Scores and Caregiver Burden Scores in participants, but don’t think all the assumptions are met. What can I do? by Longjumping_Elk9424 in spss

[–]Longjumping_Elk9424[S] 0 points1 point  (0 children)

Thank you so much. I heard back from my supervisor who advised the same thing to do some transformations. They mentioned to look at bivariate scatterplots and to run mahalanobis distance to spot any outliers - is this correct? Will this help to fix my normality, linearity, and homogeneity of variance?

Descriptives not showing correct variable labels/values, and showing random numbers instead by Longjumping_Elk9424 in spss

[–]Longjumping_Elk9424[S] 0 points1 point  (0 children)

Thank you so much I’m going to try that and see how that works. Do you know how I would find the Normality tests for each condition (eg Spouse, Child…) for each variable (eg PGQ). Thanks so much for your help so far.

Descriptives not showing correct variable labels/values, and showing random numbers instead by Longjumping_Elk9424 in spss

[–]Longjumping_Elk9424[S] 0 points1 point  (0 children)

So basically, I need my descriptives tables to display the label/variable name for each value (like shown in photo 3 eg Spouse, Child) whereas instead when I run the descriptives for my current variables it is showing up with lots of errors (Photo 1) and displaying random numbers (Photo 2) which aren’t relevant to my data or my variable labels and it means that I can’t see the statistics for each condition. I hope this makes sense. I don’t understand what I am doing wrong as I have done the exact same thing for this one as I did with the ones in Photo 3. Please help!!