Thanks for answer:)
apeape wrote:Once you have a variable that designates products as frequent or non-frequent purchases, it is a simple matter of using the Data -> Split File -> Compare Groups (based on frequency variable) option.
Another thing im having problem with is how to compute my variables, if I need to.. ?
As said before I got a dataset with 2 variables, quality and price. Problem is this: quality only range from 1-100, while price range from 1-35 000 NOK, because of the different productgroups (a HDtv is more expensive than toilettpaper..)
How can I do a correlation study (average correlation) for all the productgroups? Wouldnt it be wrong if I took all and runned a bivariate onetailed spearmans rho, on all these, since it then would corrrelate a steady score agianst different price "ranges"?
The only way I can think of is doing all productgroups seperated, and then add all the correlations and then devide on number of productgroups?
some of the tests i got in the dataset is using a different quality rank, where 5 is max and 1 is the lowest, how can I compute these so that 5 = 100 and 1=1 like my other quality rank? 4,9 = ? 4,8 = ?