Measurement Error Evaluation of Self-Reported Drug Use: A Latent Class Analysis of the US National Household Survey on Drug Abuse

• DOI: 10.1111/1467-985x.00612
• Publication Date: 2003-03-12T19:33:12Z
• Authors: Paul P. Biemer; Christopher Wiesen
• Keywords: Categorical variable; Implementation; Drug class; Survey data collection

Summary Latent class analysis (LCA) is a statistical tool for evaluating the error in categorical data when two or more repeated measurements of same survey variable are available. This paper illustrates an application LCA self-reports drug use using from 1994, 1995 and 1996 implementations US National Household Survey on Drug Abuse. In our application, approach used estimating classification errors which turn leads to identifying problems with questionnaire adjusting estimates prevalence bias. Some indicators particular embedded single questionnaire, as Abuse, also discussed.