@@AlexanderSwan According to Andrew FIeld, for contigency tables bigger than 2x2, the significant chi-square test should be broken down with standardized residuals. These are interpreted like z values. That is, a standardized residual > 1.96 or < -1.96 is analogous to a p-value < 0.05. These cells would be "driving" the significant result in the table.
Super helpful video as always!
Is there actually a way to do post hoc testing on Jamovi after a significant chi-square test?
Thanks! Not to my knowledge at this point. What post-hoc test were you thinking?
@@AlexanderSwan According to Andrew FIeld, for contigency tables bigger than 2x2, the significant chi-square test should be broken down with standardized residuals. These are interpreted like z values. That is, a standardized residual > 1.96 or < -1.96 is analogous to a p-value < 0.05. These cells would be "driving" the significant result in the table.
@@cristinagarciamata5081 ah gotcha - yeah nothing like that to my knowledge in Jamovi
saved my ass man, what a great vid!
Hi pls help on my jamovi it is showing
This is expected behavior. This means your p-value is really small and you report it as such (p < .001)
hello! can i have the raw data please, thankyou!
The data is freely available if you download the package "lsj" within Jamovi.
Excellent