The Adequacy of Statistically Derived Prediction Instruments in the Face of Sample Selectivity
- 1 June 1985
- journal article
- other
- Published by SAGE Publications in Evaluation Review
- Vol. 9 (3) , 369-382
- https://doi.org/10.1177/0193841x8500900309
Abstract
Prediction of success in a special program is often used to guide the selection of program participants and the treatment that they receive. Statistical analysis can be instrumental in developing such predictions, but if the analysis is based on data that resulted from the special selectivity built into the program, the predictions can be misleading and validation tests can be less informative than is commonly realized. This argument is developed and applied to problems in criminal justice administration. Data from pretrial release in federal district court is used as an illustration.Keywords
This publication has 7 references indexed in Scilit:
- Regression, Prediction and ShrinkageJournal of the Royal Statistical Society Series B: Statistical Methodology, 1983
- An Introduction to Sample Selection Bias in Sociological DataAmerican Sociological Review, 1983
- Limited-dependent and qualitative variables in econometricsPublished by Cambridge University Press (CUP) ,1983
- Selection biases in sociological dataSocial Science Research, 1982
- Sample Selection Bias as a Specification ErrorEconometrica, 1979
- Multi-Variate Probit AnalysisPublished by JSTOR ,1970