Structural equation models are usually divided according to what.

Structural equation models are usually divided according to different structural forms.

Structural equation model is a method of establishing, estimating and testing causality model. It can replace multiple regression, path analysis, factor analysis, covariance analysis and other methods to clearly analyze the role of individual indicators on the population and the relationship between individual indicators.

Many variables involved in social psychology research cannot be measured accurately and directly. These variables are called latent variables, such as job autonomy and job satisfaction. Traditional statistical analysis methods can't handle these potential variables well, while structural equation model can handle these potential variables and their indicators well at the same time.

The advantages of structural equation model are:

1, which can handle multiple groups of dependent variables at the same time;

2. Independent variables and dependent variables are allowed to contain measurement errors;

3. It can estimate the structure and relationship between factors at the same time;

4. Measurement models that allow greater flexibility;

5. The fitting degree of the whole model can be estimated.

From the analysis of the basic characteristics of structural equation model, we can see that structural equation model is widely used in the field of management research. Mainly reflected in the following three aspects:

1, structural equation model provides a conceptual modeling and verification process for many difficult concepts involved in management research.

2. Management activity is a complex system. Structural equation model can consider all the information of exogenous variables and endogenous variables through a systematic structural model, and the fitted model has strong reference value.

3. Structural equation model is especially convenient to deal with some special problems in the field of management research.