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these statistical methods are powerful in identifying the contributing factors and examining the indirect effects of the variables, commonly known as mediation effects. despite the popularity of mr and sem, limited studies have discussed and highlighted the modelling process of mr and sem in detail, including their underlying assumptions and procedural steps, as well as their respective strengths and limitations, especially in the education context.
multiple regression (mr) and structural equation modelling (sem) are statistical techniques commonly used in various fields, including sociology, consumer behaviour, environmental science, psychology, and education. these statistical methods are powerful in identifying the contributing factors and examining the indirect effects of the variables, commonly known as mediation effects.