Dear statisticians,
Iam doing analysis of a paper contains some variabes as following:
Y: dependent variable
and these are the independent variables:
1. Political influences which contain 3 varialbes: ( p1, p2, p3 )
2. Economic influences which contain 2 varialbes: ( e1, e2 )
3. Organizational influences contain 2 varialbes: ( o1, o1 )
4. Individual influences which contain 3 varialbes: (i1, i2, i3 )
I'm wondering how to run this analysis by SPSS according to the previous classification of independent variables, Also I want to know how much the variance component of Political, Economic, organizational, and individual influences on the dependent variable.
I would be grateful if you help me in this issue.
Can you explain what is your multilevel structure ; the term does not relate to groups of predictor variables.
Dear Dr. Kelvyn
Thanks for reply
If that is not a multilevel modeling, so what is the appropriate technique to analyze the dependent varible with the predictors (Political, Economic, Organizational and Individual influences)
and also Does the Random intercept model is the appropriate method to do this issue?
what is your advise?
It would be good, if you could draw a picture of your model or write an equation.
Have a look ta this discusssion
https://www.researchgate.net/post/Guidance_about_HLM_for_Cross-Sectional_Data2
it too confuses variables and levels
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