Learn about the editing and statistical imputation procedures that were applied to respondent data for the 2021 National Survey on Drug Use and Health (NSDUH). Logical editing resolves inconsistencies or ambiguous data based on a respondent’s answers to other questions in the survey. Statistical imputation uses mathematical techniques to assign values when they are missing in the data.Introductory Chapters:An introduction, including a discussion of changes from the 2020 to 2021 survey.A description of the procedures and general principles for editing the NSDUH data.A description of the general imputation procedures used in NSDUH.Remaining chapters are descriptions of the editing and imputation for the following types of variables:Front-end demographics.Back-end demographics.Substance use.Special drugs and substance use disorder.Additional substance use, including treatment and emerging issues.Substance use risk and protective factors.Physical and mental health.Roster variables.Income.Health insurance.Pair variables.

2014 NSDUH MRB Data Collection Final Report

This report describes the procedures used for editing interviewer-administered data in the 2011 National Survey on Drug Use and Health (NSDUH) computer-assisted interview (CAI).

This report describes the imputation procedures used in the 2011 National Survey on Drug Use and Health (NSDUH).

2014 NSDUH MRB Showcards

NSDUH 2014 Methodological Resource Book (MRB)

2012-2013 NSDUH State Methodology

2018 Methodological Resource Book

This report describes the procedures for editing supplementary self-administered data in the 2011 National Survey on Drug Use and Health (NSDUH) computer-assisted interview (CAI).

Learn about the editing and statistical imputation procedures that were applied to respondent data for the 2022 National Survey on Drug Use and Health (NSDUH). Logical editing resolves inconsistencies or ambiguous data based on a respondent’s answers to other questions in the survey. Statistical imputation uses mathematical techniques to assign values when they are missing in the data.Introductory Chapters:An introduction, including a discussion of changes from the 2021 to 2022 survey.A description of the procedures and general principles for editing the NSDUH data.A description of the general imputation procedures used in NSDUH.Remaining chapters are descriptions of the editing and imputation for the following types of variables:Front-end demographics.Back-end demographics.Substance use.Special drugs and substance use disorder.Additional substance use, including treatment and emerging issues.Substance use risk and protective factors.Physical and mental health.Roster variables.Income.Health insurance.Pair variables.