How can I fit a Hierarchical regression with 2 categorical and multiple scale variables in SPSS?
in hierarchical regression
1. The DV should be continuous (interval or ratio level of measurement)
2. The IV can be any level including categorical,
3. if the IV is nominal level with 3 or more categories, then you need to do dummy coding for these variables. the purpose from dummy coding to attain linearity assumption which is a must in regression.
4. if you are going to use hierarchical regression, then you need to decide which variables to be entered in each step. this could be based on either a) if you want to adjust for certain variables, then you enter them in the first step. b) depending on chronological order of variables, you may do hierarchical regression based on which variables append first.
hope this is helpful
good luck
in hierarchical regression
1. The DV should be continuous (interval or ratio level of measurement)
2. The IV can be any level including categorical,
3. if the IV is nominal level with 3 or more categories, then you need to do dummy coding for these variables. the purpose from dummy coding to attain linearity assumption which is a must in regression.
4. if you are going to use hierarchical regression, then you need to decide which variables to be entered in each step. this could be based on either a) if you want to adjust for certain variables, then you enter them in the first step. b) depending on chronological order of variables, you may do hierarchical regression based on which variables append first.
hope this is helpful
good luck
Could you please provide details on what are independent variables (are they categorical or scale [interval or ratio]) and just in case if the dependent variable is interval or ratio. Then it would be easier to provide the answer. On the other hand Muayyad provided very useful general principles.
Good luck
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