Path analysis model is a statistical method used for establishing a causal relationship between variables. It is used when there are multiple variables in a study.
Structural Equation Modeling (SEM) analysis is a statistical method used in social science studies for testing the linkage between multiple variables at any point in time. SEM analysis is an extension of the simple linear model.
Partial Least Square Structural Equation Modeling (PLS-SEM) is a statistical multivariate analysis method which combines linear relationship and regression analysis methodologies.
Structural equation modelling (SEM) is a century-old statistical method that witnessed progression over time. Initially, the model focused only on path analysis. However, with the growth in usage of SEM in social science, the factor analysis technique was integrated into it. Presently SEM is a powerful multivariate technique applicable in scientific investigations to evaluate and test the multivariate casual relationships. The challenge today is that research problems are of different kinds and there are multiple models. Therefore, it is essential to understand the basics before applying structural equation modelling in research.
Structural equation modeling (SEM) is a powerful multivariate technique used increasingly in scientific investigations for evaluating and testing the relationships between variables.
The critical component to practice HRM in any environment is organisational justice, i.e. the notion of fairness or justice. Depending on an employee’s work and accomplishment, performance results such as bonuses and penalties are administered under organisational justice.