(JASP) interpretation of sequential analysis
Hi all, I did some searches to try and figure out how to interpret the sequential analysis panel that is generated by JASP (I'm looking at the bayesian one sample t-test for now) but I can't see to find much, past a suggestion that looking at it would be informative (whatever that means).
Here is an example I'm running, where I input my test value at the actual mean of the dataset I'm analyzing
From another post in this forum, I found out that the sequential analysis uses sequential adding of observations, in the same order as the data are found. This suggests to me that in my data, the first half of the data is very skewed away from the mean of the whole dataset. Is there any other interpretation of this graph? I'm looking at data that is not by its nature sequential, so if that's the case, is this plot not useful at all?
I originally was hoping that this was a way of projecting the possible result of increasing sampling. Put another way, is there a way to forecast how many MORE observations I need, or if I've reached saturation? Pardon the naiveté of my question, I'm still working my way through some early intro books on bayesian statistics before I decided to just dip my toes in it.
Thanks for any help you can provide!