piecewiseSEM Std.Estimate
时间: 2023-10-19 19:06:14 浏览: 227
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piecewiseSEM (Piecewise Structural Equation Modeling) is a statistical technique used to estimate the direct and indirect effects of predictor variables on an outcome variable, while accounting for possible dependencies and feedback loops among the predictors themselves.
The Std.Estimate in piecewiseSEM refers to the standardized estimate of the regression coefficients, which indicates the magnitude and direction of the effect of each predictor variable on the outcome variable, after controlling for the effects of all other predictors in the model.
Standardized estimates are useful because they express the effect of each predictor variable in units of standard deviation of the predictor and the outcome variables, making them comparable across different variables and models. Moreover, standardized estimates can reveal which predictor variables have the strongest and weakest effects on the outcome variable, and whether their effects are positive or negative.
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