The objective of this research is to investigate the problem of goodness of fit testing based on nonparametric density estimation with a data-driven smoothing parameter. The small and large smaple properties of the proposed test statistic $Z_{mn}$ are investigated with the minimizer $widehat{m}$ of the estimated mean integrated squared error by the Diggle and Hall (1986) method.