- let say if there are X1, X2, X3, X4,....................Xn factors and each factors depends on i (i=1,2,3,4...........) factors and N=25 factors of manufacturing performance.
if let us say
- X1= f (X2, X3, X4, X5............Xn) (i=n)
- X2= f(X1, X3, X4, X5............Xn) (i=n)
- X3 = f(X1, X2, X5, X6............Xn) (i=14)
- and so on.
- I want to know the level of dependence of each factor on other factor. eg what is the dependence level of factor X1 is on factor X2 and how much is the level of dependence of X2 on X1. Level of dependence of factor X1 to X2 and X2 to X1 are different. how such a model can be analyzed using statistical methods. please refer to the figure for further clarity.
- Please suggest some statistical/Mathematical Method or technique. this problem is related with the factors influencing the manufacturing performance but these factors are also influenced by each other to a large extent. so basically if one parameter changes it automatically affects all other performance parameter.
Shahbaz Khan
Dear Abdul Gani,
In this situation you can use structural equation modeling (SEM).
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Abdul Gani
Shahbaz Khan, among Exploratory factor analysis and Confirmatory factor analysis, which approach will be better. what is the data collection method for SEM.
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Shahbaz Khan
Abdul Gani, Questionnaire based survey is used to collect the data for SEM. EFA is the preceding part of CFA. If you are quite sure about the indicator is belongs to that particular factor, then you can skip the part of EFA. However, it is always better to perform the EFA before CFA.
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