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# Structural Equation Modeling Analyse - Research Paper Example

Summary
The Bootstrapping approach uses one figure with 2 models where the exogenous variable (error) and population path value (factor) variances are shown by adjacent letters in the Free State and adjacent numbers is the fixed state. Model 1 with free factor variance is shown on the…

## Extract of sample"Structural Equation Modeling Analyse"

Download file to see previous pages That is, the dependent variable should be predicted by the independent variable. Model 1 covariance results show the following relationship:
With the covariance expression and the derived value of a, a manual approach to the equation system gives the confirmatory and exploratory factor analysis model or structural part. The resulting equation shows the possible causal dependent factors between the exogenous and endogenous variables.
The bootstrapped samples in Model 1 indicates a possible trend of multivariate function for the fit as the parameter value approaches zero. There is also the possibility of deriving sample distributions for parameter estimates from the entire samples bootstrapped.
In the analysis of the covariance matrix indicated in the diagram above, deriving the solution for g considers the use of g2. The arising systematic equations during the setting of corresponding elements for sample covariance gives the following results:
The equation above gives either a positive, or negative value. There are no any other equation that can provide the sign choice given for the resulting parameters of the covariance matrix functions. By using the square root of the value of g2, g will approximately be 2.05. Plugging the new value of g systematically into the equation, the resulting equation sets of parameter approximations are:
Looking at the 2 models, bootstrapped samples of Model 2 possess the capacity to yield the two solution types requires for parameter estimates. That is, the loading signs are different. Generally, relative frequency of both solutions are determined by factors such as start values of SEM software, covariance sign, covariance strength, score distribution shape of parent sample, and sample size. Estimates for the loading parameter should be bimodal since there is the presence of 2 global minima for their multivariate fit ...Download file to see next pagesRead More
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