I am planning to conduct a study with the following variables:
A - independent variable
B - intervening variable
C - dependent variable
D - moderating variable between B and C
The framework looks like this A-->B-->C. (but with Variable D in a downwards arrow between B and C). I am a little confused as to what I'm supposed to do.
It depends on what you handle better because there is linear regression, logistics, etc
The choice of analysis to be used depends upon the variables. If your dependent variable is a continous, interval outcome, a simple linear regression is appropriate. The moderator variable D can be used as a covariate or factor in linear regression analysis, depending upon the type of variable D is, and an adjusted or unadjusted regression can be performed, depending on your research question. If your dependent variable is a binary outcome (event happens/doesnt happen) then the logistic regression is appropriate.
Ashutosh Kumar Singh is 100% correct. What type of variables do you have? Categorical, continuous? You could do an ANOVA if your independent variable is categorical - e.g., Treatment/NoTreatment - for example, and your dependent variable is continuous - e.g., Body Temperature.
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