Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 2 SI
Page No. 5541 - 5546

Mediation Effect in Bootstrap Logistic Regression

Authors : Shrook A.S. AL-Sabbah and Enas Abdu Alhafudh Mohammed

Abstract: In this study applied the method of mediation (indirect effects) which is based on the method of regression analysis and multiple correlations between variables, it was also part of the total effects of independent variables on the dependent variable. The research adopted the method of causal steps to estimate the parameters of the binary logistic regression according to resampling (Bootstrap approach) to extracting the bootstrap estimates values. The data analyzed based on the broad money supply and some variables affecting it, namely the volume of the currency in circulation and the current deposits using the SPSS program. The result showed significant relation between the broad money supply and the independent variables (the volume of the currency) and the (current deposits). Therefore, the estimations can be adopted for using the estimated equation for the forecasting the broad money supply in the future and we concluded that the use of mediation allows the possibility of clarifying the indirect effects of the explanatory variables. The current deposits transferred the indirect effect of the explanatory variables on the broad money supply it is thus, an intermediate variable and the type of mediation is partial.

How to cite this article:

Shrook A.S. AL-Sabbah and Enas Abdu Alhafudh Mohammed, 2019. Mediation Effect in Bootstrap Logistic Regression. Journal of Engineering and Applied Sciences, 14: 5541-5546.

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