Impacts of the COVID-19 pandemic on postsecondary students (ICPPS)

Detailed information for 2020/2021

Status:

Inactive

Frequency:

One Time

Record number:

5320

The purpose of this data collection is to provide early insight into the educational, employment and financial impacts of the COVID-19 pandemic on postsecondary students. Students will be asked about concerns regarding their academic future and financial constraints. This information can be used by governments and other organizations to evaluate the need for services and assistance programs during and after the pandemic.

Data release - May 12, 2020

Description

From April 19 to May 1, 2020, Statistics Canada will conduct a crowdsourcing data collection on the Impacts of the COVID-19 pandemic on postsecondary students (ICPPS).

The COVID-19 pandemic is currently disrupting the lives and habits of all Canadians, including those of postsecondary students. It is therefore necessary to quickly gather information to help understand its impacts on postsecondary students, their education and the impact on the labour market and the ability of students to integrate into it.

These data will be used by government organizations, education institutions and Canadians alike, providing them with the information they need to respond to, and recover from, this pandemic.

In order to implement this crowdsourcing data collection rapidly, it will be conducted online only. Postsecondary students may be invited by their respective postsecondary institution to participate in the Impact of the COVID-19 pandemic on postsecondary students crowdsourcing initiative. Participants may also be recruited through social media, personal social connections, student associations or other academic organizations.

Subjects

Education, training and learning
Labour

Data sources and methodology

Target population

Impacts of the COVID-19 pandemic on postsecondary students in Canada targets all postsecondary students attending colleges or universities in Canada as of March 1st 2020.

Instrument design

The crowdsourcing questionnaire collects data about the educational, labour market and financial impacts of the COVID-19 pandemic on postsecondary students. It also collects their concerns around their academic future as a result of the pandemic.

The questionnaire follows standard practices and wording used in a computer-assisted interviewing environment, such as the automatic control of flows that depend upon answers to earlier questions and the use of edits to check for logical inconsistencies and capture errors. The computer application for data collection was tested extensively.

Sampling

No sample selection is done for this crowdsourcing initiative.

Data sources

Data collection for this reference period: 2020-04-19 to 2020-05-01

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

Data collection will be conducted exclusively online by participant self-completion in a crowdsourcing application.

Prompts to respond are done through social media, student and academic associations, influencers.

There is no follow up.

Data collection is in English and French.

Questionnaire takes approximately 10 minutes to complete.

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

Error detection

Basic error detection will identify inconsistencies or potential outliers.

Imputation

Basic imputation could be done to correct inconsistencies or incomplete data.

Estimation

This methodology does not apply.

Quality evaluation

While an outlier detection process is used on the crowd-sourced data, caution must be exercised when interpreting these data because data collection is conducted on a voluntary basis and therefore subject to multiple biases.

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 to this crowdsourcing initiative.

Data accuracy