She is an enthusiastic R and Python developer in the field of data analysis. Preliminary considerations are summarized first, including reasons for choosing PLS-SEM, recommended sample size in selected. Ajna Toth is an Environmental Engineer and she has a PhD in Chemical Sciences. The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Lilliefors (Kolmogorov-Smirnov) normality testĪll of the advanced tests are supported that we fail to reject the null hypothesis, so the water level of Lake Huron is normally distributed.ĭr. Not significantly different from the normal distribution. It is not so sensitive to duplicate data then Kolmogorov–Smirnovįrom the output, the p-value > 0.05 shows that weįail to reject the null hypothesis, which means the distribution of our data is The Sapiro-Wilk method is widely used to check If the test is significant/we reject the null hypothesis, the If we fail to reject the null hypothesis, the The null hypothesis of these tests is the In case of significance tests sample distribution isĬompared the normal distribution. Statistical tests are much more reliable than only LakeHuron dataset is normally distributed and ChickWeight is not. Whether the sample distribution is normal because the grey area shows theĪcceptable deviation from the normal line. This approach gives you more power to visually determine Q-Q plot of LakeHuron dataset (a) and ChickWeight (b) with qqpubr library
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