Structural Equation Modeling: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 4: | Line 4: | ||
SEM is similar, but more powerful than [[Regression Analysis|Regression Analyses]]. | SEM is similar, but more powerful than [[Regression Analysis|Regression Analyses]]. | ||
SEM examines linear causal relationships among variables, while simultaneously accounting for measurement error. | SEM examines linear causal relationships among variables, while simultaneously accounting for measurement error. | ||
[[Category: ISM Terminology]] | |||
Latest revision as of 05:27, 10 January 2022
Structural Equation Modeling (SEM) is a set of statistical techniques used to measure and analyze the relationships of observed and latent variables.
SEM is similar, but more powerful than Regression Analyses.
SEM examines linear causal relationships among variables, while simultaneously accounting for measurement error.