Hi, I’m struggling in terms of inputting my data into prism and figuring out which analysis to do, whether thats one-way anova or the chi-square test etc.
I’m doing a research project linking dog characteristics with aspects of animal welfare/behaviour on walks: The effect of size on activity levels in dogs.
Using an excel table I jotted down the size of the dog (small/medium/large) and noted what activity the dog was doing and how much It, using a 1-5 scale where each number represented a different activity.
Out of the activities, I noted down the activity it was doing the most as the overall scale rating.
Now the issue is originally I thought I’d do the chi-square test but when I inputted the data after selecting contingency (I put large medium and small down the left and across it was titled scale where I added up how many large dogs did scale 1 and wrote it down, how many did 2 etc.), it gives results and a p value of 0.00002 and then at the bottom there’s this orange box says the calculations are not valid and suggests I merge two columns eyc.
One-way anova compares significant differences so it seems better but when I select the column option It only allows me to enter numbers so I can’t write down the size of the dogs. So I’m a little lost now!
Any help would be appreciated as well as steps on how to do it, thank you!