Open Access. Powered by Scholars. Published by Universities.®

Social Work Commons

Open Access. Powered by Scholars. Published by Universities.®

2004

External Link

Articles 1 - 1 of 1

Full-Text Articles in Social Work

Detecting And Statistically Correcting Sample Selection Bias, Gary Cuddeback, Elizabeth Wilson, John Orme, Terri Combs-Orme Dec 2003

Detecting And Statistically Correcting Sample Selection Bias, Gary Cuddeback, Elizabeth Wilson, John Orme, Terri Combs-Orme

Terri Combs-Orme

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-participation as the dependent variable). Neither of these methods can be used to correct substantive results for selection bias. Sample selection models are a well-developed class of econometric models that can be used to ...