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perception of randomness) (Figure ?Figure11) was statistically significant, ��2(239, N = 254) = 371.92 p 0.001). Furthermore, TPB had a significant negative effect on both perception of randomness (�� = -0.39, p Fulvestrant SRMR = 0.11. Referring to the AIC statistic for the mediation model vs. the constrained SB203580 molecular weight model for TPB, the mediation model demonstrated superior fit, as the AIC is 541.93, which is lower than the constrained model (AIC = 582.59). FIGURE 1 Model 1 �C Mediation model depicting the relationship between unusual experiences and standard problem types, as mediated by traditional paranormal belief. Latent variables are represented by ellipses, measured variables are represented by squares, ... The constrained model indicated a significant negative path between UnExp and PR (�� = -0.23, p 0.05). In the final model, however, the path from UnExp to PR was non-significant (�� = -0.10, p > 0.05). Bootstrapping Alizarin estimates indicated that UnExp had a lower-bounds indirect effect on PR of -0.25 and upper-bounds indirect effect of -0.07 with p influence CF through TPB. These latter findings suggest that TPB mediated the effect of UnExp on PR, but not CF. An alternative model was tested in which statistical bias (CF and PR) was proposed to mediate the relationship between UnExp and TPB. Paths between TPB and statistical bias were reversed in this model. Fit indices remained the same, given only direction was adjusted. However, inspection of the paths suggested statistical bias did not fully mediate the relationship between UnExp and TPB, as the path between TPB and UE remained significant (�� = 0.20, p