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In addition, for both sexes, significant associations were found between any two of the total score of EIS, the score of the Vigor subscale of POMS, and the score of the S-A creativity test. For statistical values, see Table ?Table22. Path analysis involving CPMDT, motivational state, EI, and the DRD2 polymorphism The eight initial models created to generate the model involving CPMDT, motivational state, EI, and the DRD2 polymorphism were presented in Figure ?Figure1A1A (males) and Figure ?Figure2A2A (females). For females, from each initial model (AIC = 28, CFI = 1.0, RMSEA = 0.111), the paths with the highest P-values were deleted recursively [http://www.selleckchem.com/products/iwr-1-endo.html IWR-1 cost] one [http://www.selleckchem.com/products/cilengitide-emd-121974-nsc-707544.html Cilengitide order] by one, and analyses were rerun after each path was removed, until the model fit stopped improving. One of the final models showed the best statistic for the fit of the models (Figure ?(Figure1B,1B, chi-squared statistic = 3.284, df = 2, P = 0.194, AIC = 27.284, CFI = 0.973, RMSEA = 0.041). In this final model, all the paths reached significance. In this final model, (a) the DRD2 polymorphism primarily facilitated EI (the total score of EIS), (b) EI in turn facilitated CPMDT (the score of the S-A creativity test) and led to a better motivational state (the score of the Vigor subscale of POMS), and (c) the better motivational state also directly facilitated CPMDT. For males, from each initial model (AIC = 28, CFI = 1.0, RMSEA = 0.142), the paths with the highest P-values were deleted recursively one by one, and analyses were rerun after each path was removed, until the model fit stopped improving. The three paths from the DRD2 polymorphism were removed. However, the directions of the paths among the three psychological variables could not be determined [http://en.wikipedia.org/wiki/Non-specific_serine/threonine_protein_kinase Non-specific serine/threonine protein kinase] and there were eight final models that showed the same statistics for the fit of the models (Figure ?(Figure2B,2B, chi-squared statistic = 1.303, df = 3, P = 0.728, AIC = 23.303, CFI = 1.0, RMSEA