Tracking Study of Federal Employees

Detailed information for 1994

The objective of this survey is to evaluate the human, social, and economic impacts of employee departures from the federal public service under the Federal Workforce Adjustment Program, with specific focus on labour market behaviour, counselling and training assistance, financial and health situation and potential impact on the community.

Data release - July 7, 1995

• Description
• Data sources and methodology

Description

The objective of this survey is to evaluate the human, social, and economic impacts of employee departures from the federal public service under the Federal Workforce Adjustment Program, with specific focus on labour market behaviour, counselling and training assistance, financial and health situation and potential impact on the community.

This survey is being funded jointly by the Treasury Board of Canada and a consortium of six government bodies (Public Service Commission, Industry Canada, Canada Employment Centre [Human Resources Development], Ontario Ministry of Economic Development and Trade Regional Municipality of Ottawa-Carleton Social Services Department and the Outaouais Urban Community) coordinated by the Ottawa-Carleton Board of Trade.

Subjects

• Labour
• Work transitions and life stages

Data sources and methodology

Sampling

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

Stratified sample design. Tracing through T1 tax records and finally telephone numbers through telephone books.

Estimation

Sample weighted up to stratum population. Hot deck imputation used to complete item non-response in main variables. There were few missing variable cases.

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.