Hi Chaps,
I am trying to run a comparison between two groups - patients and staff - ratings of the quality of life on a ward.
Simple enough, but the answers come from five different wards, and unfortunately the number of staff and number of patients recruited from each ward is not equal.
If I just do an ANOVA or Independent Samples t-test comparing Quality of Life between staff and patients, I will get biased results because there are a higher portion of staff from a ward which would be expected to be 'nicer'.
Is there a way I can adjust for this? I've been looking into using an ANCOVA but note I need a continuous variable rather than a categorical one.
Any clues greatfully appreciated. I've got access to both SPSS and STATA.
Thanks
I am trying to run a comparison between two groups - patients and staff - ratings of the quality of life on a ward.
Simple enough, but the answers come from five different wards, and unfortunately the number of staff and number of patients recruited from each ward is not equal.
If I just do an ANOVA or Independent Samples t-test comparing Quality of Life between staff and patients, I will get biased results because there are a higher portion of staff from a ward which would be expected to be 'nicer'.
Is there a way I can adjust for this? I've been looking into using an ANCOVA but note I need a continuous variable rather than a categorical one.
Any clues greatfully appreciated. I've got access to both SPSS and STATA.
Thanks