Instead of running a certain balanced latin square twice (if you have m experimental conditions but 2 m subjects), what would be a better approach (to cover twice as many of the possible orderings and get the maximum protection against ordering effects etc.)?
...or in general terms, what is a better alternative to running a certain balanced latin square n times in a psychological research experiment with n m subjects (where n is an whole number)? Is there anything better than seeding the first columns (or rows) of other squares randomly?