Detecting and Statistically Correcting Sample Selection Bias

@article{Cuddeback2004DetectingAS,
  title={Detecting and Statistically Correcting Sample Selection Bias},
  author={Gary S. Cuddeback and Elizabeth E. Wilson and John G. Orme and Terri Combs-Orme},
  journal={Journal of Social Service Research},
  year={2004},
  volume={30},
  pages={19 - 33}
}
ABSTRACT Researchers seldom realize 100% participation for any research study. If participants and non-participants are systematically different, substantive results may be biased in unknown ways, and external or internal validity may be compromised. Typically social work researchers use bivariate tests to detect selection bias (e.g., χ2 to compare the race of participants and non-participants). Occasionally multiple regression methods are used (e.g., logistic regression with participation/non… 

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