. Author manuscript; available in PMC: 2011 May 1.

Published in final edited form as: Cogn Neuropsychol. 2010 May;27(3):230–244. doi: 10.1080/02643294.2010.512285

Table 6.

Probabilities from posterior predictive distributions (Bayesian p-values) of the correlation between Sentence Types in SPM and OM in Rasch models with different factors. Observed correlations that fall within the range of posterior predictive distributions found in each model have non-significant p-values (at the 0.05 rejection level) and are shown in bold italic.

		Posterior Predictive Two Sided p-value for Correlation Statistic
Sentence Type	Observed Correlation Across SPM and OM	Simple Rasch models	Sentence Grouping Factor	Task Factor	Sentence Grouping and Task Factor	MGLMM OM K = 3 SPM K = 2
A	0.572	*0.55*	*0.98*	*0.25*	*0.07*	*0.20*
PF	0.654	*0.78*	*0.26*	*0.38*	0.047	*0.26*
PT	0.138	0	0	0.00026	0.007	*0.06*
RG	0.635	*0.24*	*0.082*	*0.63*	*0.28*	*0.62*
RGB	0.518	0.0053	0.0008	*0.31*	*0.74*	*0.76*
RP	0.434	0.055	0.013	*0.49*	*0.84*	*0.94*
RPB	0.52	*0.064*	0.017	*0.68*	*0.86*	*0.89*
CO	0.70	*0.94*	*0.9*	*0.16*	0.02	*0.23*
CS	0.518	*0.64*	*0.63*	*0.3*	*0.14*	*0.21*
SO	0.54	0.0007	0.0013	*0.33*	*0.84*	*0.66*
SS	0.45	0.0009	0.0016	*0.10*	*0.68*	*0.97*
Total number non-significant p values		6	5	9	8	11