National Alcohol and Drug Survey

Detailed information for 1989

The purpose of this survey was to collect data on the negative consequences associated with drug and alcohol use.

Data release - -

• Description
• Data sources and methodology
• Data accuracy

Description

Conducted on behalf of the Health Promotion Studies Unit of Health and Welfare Canada, this voluntary survey collected data on the negative consequences associated with drug and alcohol use.

The survey collected information about: 1) attitudes and beliefs concerning the consequences of drug and alcohol use, 2) individual's experiences and behaviour in relation to their own use of alcohol, medications and illegal drugs, 3) other's use of the above substances and the effect on the respondent, and 4) demographic characteristics.

Subjects

• Children and youth
• Health
• Lifestyle and social conditions
• Risk behaviours

Data sources and methodology

Sampling

This is a sample survey with a cross-sectional design.

Estimation

Non-response codes used for partial non-response. Weighted to Canadian population using age-sex-provincial adjustments.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Data accuracy

Young people aged 15-24 years old are slightly under represented in unweighted figures, weights are adjusted to account for this difference.