u/adankishmeme

Participants	Football	Baseball	Tennis	Result
1	Yes	No	No	0
2	No	Yes	No	1
3	No	No	Yes	-1
4	Yes	No	Yes	3
5	No	Yes	Yes	-2

Here I have a list of participants (1-5) who did a survey and produced "results". Group membership is my independent variable, and the results column is my dependent. If there was no group overlap I would simply use an ANOVA and be done with it, but because I have participants in multiple groups (4 and 5) I fail the independence assumption.

I could create new "combo" categories for the cases in which there is multiple group membership and only count those participants in those new categories, but I was wondering if something else could be used instead.

What is the right stat to use here? Running in Jasp, but can use SPSS too.

Participants	Football	Baseball	Tennis	Result
1	Yes	No	No	0
2	No	Yes	No	1
3	No	No	Yes	-1
4	Yes	No	Yes	3
5	No	Yes	Yes	-2

Here I have a list of participants (1-5) who did a survey and produced "results". Group membership is my independent variable, and the results column is my dependent. If there was no group overlap I would simply use an ANOVA and be done with it, but because I have participants in multiple groups (4 and 5) I fail the independence assumption.

I could create new "combo" categories for the cases in which there is multiple group membership and only count those participants in those new categories, but I was wondering if something else could be used instead.

What is the right stat to use here? Running in Jasp, but can use SPSS too.

So I don't own the borellus connection book, but I was wondering if anyone has experience running it as a DG game rather than gumshoe/FoDG. Would it require a complete reworking, or are there pretty good bones for a 60s/70s DG system campaign there? If so, I'll probably grab the book, but I was hoping someone else could warn me about what I have ahead of me lol