Specifying H0 and H1 in Jasp
Apologies in advance if this is an obvious question, I am just trying to get my head around Bayesian methods and JASP.
Using Bayesian methods in JASP we aim to compare how well our data fit some specified alternative hypothesis, relative to the null hypothesis of "no effect."
However, in JASP I am unclear as to how we set up these two competing hypotheses, or where these competing hypotheses may be visualized. Is it the case that the Prior ('Cauchy prior width') relates to the null of no effect, and the 'hypothesis tab' relates to the alternative...? Or is it simply that we infer the presence of an alternative hypothesis (i.e. effect) via the null ('no effect), although this nature of this alternative is unspecified?