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NSDUH 2019 Editing And Imputation Report

Description:

This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2019 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 as the replacement of missing values with valid, nonmissing values. Statistical imputation usually involves some randomness to preserve the natural variability in the data.

Publication Date:
May 11, 2021
Collection Date:
2019
Report Type:
Reference Material

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Other Related Reports

Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health
Collected Date: 2019 | Published Date: | Type: National Survey on Drug Use and Health

Report Resources

Find methodology reports, crosswalks, public use files, and more on the Substance Abuse and Mental Health Data Archive (SAMHDA)'s page about NSDUH.
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