Since 2021, aggregated from related topics
Structural equation modeling (SEM) is a statistical method used to analyze complex relationships between variables in a research study. It allows researchers to examine and test theoretical models that hypothesize how different variables are related to each other. SEM combines elements of factor analysis and regression analysis to evaluate causal relationships between variables while accounting for measurement error. SEM can be used in a wide range of disciplines, such as psychology, sociology, education, and business, to test and validate theoretical models and hypotheses. It is a powerful tool for understanding complex relationships and patterns within data.