I am testing for the power of art therapy to improve level of motivation in substance abusers in drug treatment.
Using a matched pairs experimental/control design. total sample=34, 17 per group.
Would testing for confounding demographic variables: age, education, and employment- which are identified as indicators of higher level of motivation - be useful in addition to standard t-test comparison? Is the sample big enough? What test would you use for confounding variables? Thanks- Mollie
It is certainly possible. one model you could use is post=a +bpre + c1V1 +c2V2 +error a,b,c's are regression coefficients V1 and V2 are the possible confounding variables. run this in a regression program. I would not be surprised if you found something. Best wishes, David Booth
Hi! @ David,
What statistical test would you apply for best results? How does the formula apply to multi-variate analysis? What is the test actually doing?
I looked up the formula, and found referrals to c1v1+ c2v2 used in diluting chemicals and in dividing matter. Really fascinated by your answer. Please explain more. Thanks so much! Mollie
Sorry, let me send you some notes that may help. Look at chapters 1 and 2. See if this helps. Do ask again if you don't follow something. Best wishes, David Booth
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