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Categorizing Skewed, Limited Dependent Variables

Using Multivariate Probit Regression to Evaluate the California Civil Addict Program

University of California, Los Angeles

George Speckart

University of California, Los Angeles

Probit analysis is applied in a situation where analysis of covariance (ANCOVA) would customarily be used. The dichotomous dependent variables arise from dichotomizations of skewed continuous variables recorded as the proportion of time certain activities are observed. The probit approach avoids the biases of ordinary A NCO VA that arise due to skewness (limited variation). To illustrate this, data from 225 experiments and 214 control subjects in a drug treatment program was analyzed. It was found that the probit approach was able to reveal more substantial treatment effects than the ordinary A NCO VA.

Evaluation Review, Vol. 7, No. 2, 257-269 (1983)
DOI: 10.1177/0193841X8300700207


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