Employment and Social Development Canada Employee Wellness Survey (EWS)

Detailed information for 2022

Status:

Active

Frequency:

One Time

Record number:

5379

Employment and Social Development Canada (ESDC) employees can help identify the key factors in the work environment that affect their well-being by taking part in the ESDC Employee Wellness Survey. Topics include work-life balance, job satisfaction and performance, as well as training and development opportunities.

Data release - Scheduled for March 2023

Description

The ESDC Employee Wellness Survey collects information on specific factors in the work environment which affect employee wellbeing including work-life balance, job satisfaction, and performance.

The results from this survey will be used to assess conditions in the work environment at ESDC and inform strategies that meet the needs of employees and optimize their well-being. Although voluntary, your participation is important in order to collect information that is as accurate and complete as possible.

Reference period: In the last 6 months

Collection period: Early Fall

Subjects

  • Hours of work and work arrangements
  • Mental health and well-being
  • Workplace organization, innovation, performance

Data sources and methodology

Target population

The survey targets active employees of Employment and Social Development Canada (ESDC), including indeterminate, term, seasonal, casual and student employees.

Instrument design

This methodology does not apply.

Sampling

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

Sampling unit
The sampling unit is defined as an employee of Employment and Social Development Canada.

Stratification method
Not applicable

Sampling and sub-sampling
This survey is a census of approximately 37,000 employees. Data are collected for all units of the target population; therefore, no sampling is done.

Data sources

Data collection for this reference period: 2022-10-03 to 2022-10-31

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

The sample frame is built from lists of employees provided by human resource services from Employment and Social Development Canada. In doing this, they have to provide a list of fields requested by Statistics Canada to conduct the survey and to include employees meeting the in-scope population criteria. These lists were then verified, cleaned and combined by Statistics Canada to form the final survey frame.

Each person in the survey frame is contacted by e-mail and invited to complete an electronic questionnaire available on the Statistics Canada website. During collection, reminder e-mails will be sent on a regular basis to participants who have not submitted their completed electronic questionnaire.

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

Error detection

This methodology does not apply.

Imputation

This methodology does not apply.

Estimation

When there are people who were invited to participate in the survey but did not respond, the principle behind estimation is that each respondent represents (in addition to himself/herself) the other people not responding. For example, if we obtain a 50% response rate, each person in the sample represents two people. The number of persons represented by a given respondent is usually known as the weight or weighting factor.

This is a survey of individuals and the analytic files contain questionnaire responses and associated information from the respondents. A weighting factor is available on the microdata file and is called WTPM. This is the basic weighting factor for analysis at the employee level, i.e. to calculate estimates of the number of employees having one or several given characteristics.

In addition to the estimation weights, bootstrap weights have been created for the purpose of design-based variance estimation.

Quality evaluation

This methodology does not apply.

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.

Revisions and seasonal adjustment

This methodology does not apply.

Data accuracy

Estimates of the sampling variability of estimates can be produced with the bootstrap method using bootstrap weights that have been created for this survey. The bootstrap method was used to estimate the sampling variability for all of the estimates.

The sample error is quantified by the coefficient of variation (CV) with the following guidelines:
- 16.5% and below: Acceptable estimate;
- 16.6% to 33.3%: Marginal estimate, with cautionary note;
- Above 33.3%: Unacceptable estimate.

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