Structural equation models (SEMs) are statistical models that aim to capture the complex relationships between multiple variables. They are used in a variety of fields, including social science, psychology, ecology, and economics. SEMs can be used for a range of purposes, such as testing theories or hypotheses, predicting outcomes, and identifying causal relationships. They allow researchers to examine the direct and indirect effects of variables, and to account for measurement error. SEMs also enable researchers to evaluate the goodness of fit of their models, and to compare the fit of different models. Overall, SEMs are a powerful tool for understanding complex relationships between variables and for testing hypotheses in many fields.
This mind map was published on 19 June 2023 and has been viewed 112 times.