Survey on Work Reduction

Detailed information for 1985

The survey collected data to estimate hours of work that would be made available from voluntary work reduction and to determine the preference for various reduced work time patterns.

Data release - December 21, 1995 (see catalogue number 71M0008X)

• Questionnaire(s) and reporting guide(s)
• Description
• Data sources and methodology

Description

To estimate hours of work that would be made available from voluntary work reduction and to determine the preference for various reduced work time patterns. The survey collected data from all civilian household members 18 years of age and over from a randomly selected household sample.

Subjects

• Hours of work and work arrangements
• Labour

Data sources and methodology

Sampling

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

Data sources

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

Mailout, mailback self-enumerated survey with 2 telephone follow-ups.

View the Questionnaire(s) and reporting guide(s) .

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.