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. 2018 Oct 22;51(1):126–137. doi: 10.3758/s13428-018-1149-x

Table 5.

Bayes factors and posterior model probabilities for the school-based smoking prevention intervention

Hypothesis Complexity Fit BF ia PMP i
H1 : μCON < μIN < μOUT < μBOTH 1/24 .6351 15.242 .89
H2 : μCON < μOUT < μIN < μBOTH 1/24 .0675 1.620 .09
H3 : complement of H1, H2 22/24 .2974 0.324 .02

BFia, Bayes factor for Hi versus unconstrained hypothesis Hα; PMPi, posterior model probability of Hi