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Residualized gain (change) score

The residualized gain score is the difference between the actual change score and the predicted change score using a GeneralLinearModel.

The score at time 1 will virtually always be the strongest predictor of scores at later assessments due to regression artifacts and so should be included in the predictive model. Other variables that have been found to be predictive of change scores for the ACORN measures include diagnosis, medical status and prior treatment history.

Other variables to be considered include setting and treatment population. For example, court ordered referrals to substance abuse treatment centers may require different norms for voluntary clients, just as inpatient mental health units will require a different set of norms from outpatient treatment centers.

-- JebBrown - December 1, 2007
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