The focus of the session is to
The tutorial is a step by step guide on how to design a simple structural model in SmartPLS4.
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The beta coefficient is the degree of change in the outcome variable for every 1-unit of change in the predictor variable.The beta value shows that weight of impact, the standardized beta is in the range of +/-1. The close to 1, the higher is the impact of IV on DV. Normally, a beta value over 0.10 means significant relationship between the variables.
A measure of the statistical accuracy of an estimate, equal to the standard deviation of the theoretical distribution of a large population of such estimates. In simple terms, It refers to how far is the sample mean from the population mean. The lower it is, the better.
It describes how far your observed data is from the null hypothesis of no relationship between variables. A values greater than 1.96 (two-tailed) shows significant relationship.
P value is the probability value. The statistics helps establish if the relationship between two variables is significant or not. In social sciences research a p value < 0.05, is referred to as significant. Hence, the hypothesis is supported (the null hypothesis is rejected)