Order : Compare to best model vs. compare to null model

Comments

• EJ

  April 2021

  Hello Nico,

  These options define the model to which all other models are compared. The fundamental information in the table does not change, however. Because the null model is often very poor, it is usually more interpretable to compare all models against the best one.

  Suppose you select "Compare to null model" and the ordering of the models in the table is

  H0

  HB

  HA

  Suppose HB is the best model, and you are interested in the BF between HB and HA. Then you can select "best model on top" and set the Bayes factor display option to BF_01 (instead of the default BF_10) and you see immediately how much better HB predicted the data. Alternatively, you could take that initial table and manually divide the two Bayes factors for HB and HA versus H0 -- by transitivity the p(data|H0) term drops out.

  Cheers,

  E.J.
• nicolas_m

  April 2021

  Hi E.J,

  thanks for your explanation. When working with BFincl/BFexcl this option doesn't change anything because it doesn't change p(M) and p(M|D) in the model comparison table, is it right?

  Best,

  Nico
• EJ

  April 2021

  Correct

  E.J.
• nicolas_m

  April 2021

  thanks

  Nico
• Katharina

  September 2022

  Hi

  
  

  I know its an old tread, but maybe I can still ask. Why does JASP add random slopes and subject to bayesian rmANOVA? Thanks!
• EJ

  October 2022

  Hi Katharina,

  I am not sure how your question relates to this tread :-) However, we do have a recent paper submitted on this topic: https://psyarxiv.com/fb8zn/

  Cheers,

  E.J.