Hello,
I am comparing men and women on outcomes of their diagnostic assessment (autism). there are approx 600 men and 200 women. I have used t-tests adn chi-squared analyses to compare outcomes, and then a multivariate ANOVA with sex and diagnostic outcome (also unequal sample sizes) as fixed factors to compare scores on individual symptom measures. The data is normally distributed, but I don´t know whether the unequal sample sizes are problematic here.
a colleague suggested using weighted means in SPSS - if I choose the 'weighted means - weight by sex' option in SPSS it seems to simply double the sample size of the women group, so teh groups are still not actually even (600 : 400). Maybe it is more complex than this, but I don't really understand if this is a sensibe thing to do, and if it is how do I report the N values for these analyses?
any advice at all would be greatly appreciated!
Thanks - ellie
I am comparing men and women on outcomes of their diagnostic assessment (autism). there are approx 600 men and 200 women. I have used t-tests adn chi-squared analyses to compare outcomes, and then a multivariate ANOVA with sex and diagnostic outcome (also unequal sample sizes) as fixed factors to compare scores on individual symptom measures. The data is normally distributed, but I don´t know whether the unequal sample sizes are problematic here.
a colleague suggested using weighted means in SPSS - if I choose the 'weighted means - weight by sex' option in SPSS it seems to simply double the sample size of the women group, so teh groups are still not actually even (600 : 400). Maybe it is more complex than this, but I don't really understand if this is a sensibe thing to do, and if it is how do I report the N values for these analyses?
any advice at all would be greatly appreciated!
Thanks - ellie