Statistical Problems Caused by Sample Censoring and Their Solutions -Focused on the application to consumer research-

표본중도절단에 따른 통계학적 문제와 교정방법에 관한 고찰 -소비자분야 연구에의 적용을 중심으로-

This paper discusses the bias that results from using nonrandomly selectd samples of consumer research. A two stage system (maximum likelihood probit analysis and ordinary least square analysis) is a solution to sample selection bias. Empirical results show that correcting for sample selection bias improves the validity of consumer research results.