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Categorizing Skewed, Limited Dependent Variables

Author

Listed:
  • Bengt Muthén

    (University of California, Los Angeles)

  • George Speckart

    (University of California, Los Angeles)

Abstract

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.

Suggested Citation

  • Bengt Muthén & George Speckart, 1983. "Categorizing Skewed, Limited Dependent Variables," Evaluation Review, , vol. 7(2), pages 257-269, April.
    • Handle: RePEc:sae:evarev:v:7:y:1983:i:2:p:257-269
    DOI: 10.1177/0193841X8300700207
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    References listed on IDEAS

    as
    1. Goldberger, Arthur S., 1981. "Linear regression after selection," Journal of Econometrics, Elsevier, vol. 15(3), pages 357-366, April.
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