The focus of this report is to describe the statistical inference procedures used to produce design-based estimates as presented in the 2019 detailed tables and the 2019 FFR, which are based on restricted-use data.
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Use this collection to provide context for estimates from the 2019 National Survey on Drug Use and Health (NSDUH). This collection includes materials used to conduct the survey, reports on how the survey was conducted, and reports on how the data were processed. The Statistical Inference Report details how the...
Browse the English interview questionnaire for the 2019 National Survey on Drug Use and Health (NSDUH). The document provides the exact questions given to respondents in their full context, along with the skip patterns that determined whether a person was asked a question or not. There is also information on...
These are the 2019 showcards field interviewers use during the interview.
This is the 2019 NSDUH questionnaire used for screening respondents.
These are the pill images used in the prescription drug use items within the 2019 NSDUH Questionnaire.
This detailed manual was used as a training guide for the Field Interviewers (FIs) who conducted the in-person 2019 National Survey on Drug Use and Health (NSDUH). It covers the information presented at the intensive training for new FIs. Although it is written for NSDUH FIs, researchers may find it...
Guide to using the p-value tables to compare substate estimates within and across states for 2018-2019.
This document provides information on the model-based small area estimates of substance use and mental disorders in states based on data from the combined 2018-2019 National Surveys on Drug Use and Health (NSDUHs).
Use this summary report to properly interpret 2019 NSDUH estimates of substance use and mental health issues. The report accompanies the annual detailed tables and covers overall methodology, key definitions for measures and terms used in 2019 NSDUH reports and tables, and selected analyses of the measures and how they...
This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2018 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined...
NSDUH allows for estimating characteristics at the person level, pair level, and household or QDU level. This report describes the weight calibration methods used for the pair- and QDU-level respondents. As described in the person-level report, NSDUH is an annual survey of about 67,500 people selected from the civilian, noninstitutionalized...
This report contains a brief review of the sampling weight calibration methodology used for the 2018 National Survey on Drug Use and Health (NSDUH). This report also lists detailed documentation on the implementation steps and evaluation results from the weight calibration application. The constrained exponential modeling (CEM) method used in...
This report provides a guide to the development and presentation of 2016-2018 NSDUH substate estimates. A summary of the estimation methodology is included as well as sample sizes, response rates, and population estimates.
Use these maps and tables to understand the geographic boundaries used in the 2016-2018 National Surveys on Drug Use and Health (NSDUH) substate estimates. The resource is available as a PDF or HTM file. There is also additional documentation in SAS and Excel.