Path analysis procedure is a statistical procedure that can be applied to evaluate direct and indirect contributions of independent variables to the dependent variables for better understanding of the relationships between egg quality traits. One hundred and twenty (120) eggs, collected from Shika Brown layers, were used to evaluate the direct and indirect effects of internal and external egg quality parameters on egg weight of Shika Brown layers using Path analysis procedure. Data obtained on individual egg include the following; egg weight (EWT), egg length (ELT), egg width (EWD), shell thickness (STK), shell weight (SWT), albumen weight (AWT) and yolk weight (YWT). Correlation coefficient results show that EWT had a positively significant correlation (P<0.05) with ELT (0.715), EWD (0.758), SWT (0.460) and AWT (0.785). ELT had the greatest direct effect (0.360; P<0.05) on EWT followed by EWD (0.345; P<0.05) while the least of the direct effects on EWT (0.012; P<0.05) was from STK. However, the highest total indirect effect (0.487) on EGW was realised largely via EWD. Therefore, EWT of Shika Brown layer strain had a high positive relationship with ELT, EWD and AWT. The path coefficient analysis revealed that ELT, along with EWD contributed highest direct effect on the EWT. This information could be used in selection programme for the improvement of EWT of Shika Brown layer chickens.