Prepared for Health Canada
Supplier name: Ipsos Public Affairs
Contract Number: HT372-215150/001/CY
Contract value: $64,534.07
Award Date: January 20, 2022
Delivery Date: April 20, 2022
Registration number: POR-108-21
For more information on this report, please contact Health Canada at:
hc.cpab.por-rop.dgcap.sc@canada.ca.
Ce rapport est aussi disponible en français
I hereby certify as Senior Officer of Ipsos that the deliverables fully comply with the Government of Canada political neutrality requirements outlined in the Communications Policy of the Government of Canada and Procedures for Planning and Contracting Public Opinion Research. Specifically, the deliverables do not include information on electoral voting intentions, political party preferences, standings with the electorate or ratings of the performance of a political party or its leaders.
Mike Colledge
President
Ipsos Public Affairs
April 2022
Prepared for Health Canada and the Public Health Agency of Canada
Supplier name: Ipsos Public Affairs
This public opinion research report presents the methodology of the ACET Surveys for the COVID-19 Vaccination for Children and Vaccine Booster Advertising Campaigns conducted by Ipsos Public Affairs on behalf of Health Canada and the Public Health Agency of Canada. The research study for the for the Vaccination for Children advertising campaign was conducted with n=1,016 Canadian parents of Children between March 14th and March 24th, 2022, while the study for the Vaccine Booster advertising campaign was conducted with n=2,052 Canadians aged 18+ between March 8th and March 25th, 2022.
Cette publication est aussi disponible en français sous le titre : Sondages OECP pour les campagnes sur la COVID-19 concernant la vaccination des enfants et la dose de rappel
This publication may be reproduced for non-commercial purposes only. Prior written permission must be obtained from Health Canada. For more information on this report, please contact Health Canada at hc.cpab.por-rop.dgcap.sc@canada.ca or at:
Communications Branch
Health Canada
200 Eglantine Driveway
AL 1915C, Tunney's Pasture
Ottawa, ON K1A 0K9
Catalogue Number:
H14-401/2022E-PDF
International Standard Book Number (ISBN):
978-0-660-43756-9
Related publications (registration number: POR 108-21)
Catalogue Number H14-401/2022F-PDF (Final Report, French)
ISBN 978-0-660-43757-6
©Her Majesty the Queen in Right of Canada, as represented by the Minister of Health, 2022
In December 2019, a cluster of cases of pneumonia was reported in Wuhan, China; the cause was confirmed as a new coronavirus (COVID-19) that had not previously been identified in humans. The situation quickly evolved into a worldwide pandemic. As of late February 2021, there were more than 852,000 confirmed cases in Canada and over 21,000 deaths. COVID-19 daily epidemiology update - Canada.ca
As part of the Government of Canada's COVID-19 response a series of advertising campaigns were launched aimed at encouraging eligible Canadians to be vaccinated. One of these campaigns sought to encourage parents and guardians to learn more about the COVID-19 vaccines for children 5-17, including how to book an appointment for eligible children, to help kids get back to being kids. Another campaign sought to encourage people living in Canada 18 plus who are fully vaccinated and eligible for a third shot to get their booster shots when they are available to them.
Two separate online surveys were conducted to assess the impact of the campaigns. The Vaccination for Children survey was conducted between March 14th and March 24th, 2022, and the Vaccine Booster survey was conducted between March 8th and March 25th, 2022. Both surveys were conducted in English and French.
Ipsos programmed, hosted, and provided sample management services, while Health Canada and Public Health Agency of Canada provided the online questionnaires. Ipsos was responsible for data collection and data storage in Canada, data processing and data weighting. The total contract value of this research was $64,534.07, including HST (which encompassed both studies).
The research involved conducting an online post-campaign survey to evaluate the campaign using the Government of Canada's ACET (Advertising Campaign Evaluation Tool). The objectives of the post-campaign survey were as follows:
The target audience of the research was as follows:
COVID-19 Vaccination for Children Campaign:
Vaccine Booster Campaign:
The survey for the Vaccination for Children campaign was conducted online with a sample of n=1,016 Canadian parents of children under age 18. Quotas were set to ensure representation by region according to the latest Census information. Respondents were drawn from a partner vendor panel, Canadian Viewpoint.
The survey for the Vaccine Booster campaign was conducted online with a sample of n=2,052 Canadians ages 18+. Quotas were set to ensure representation by region, age, and gender according to the latest Census information. Respondents were drawn from a partner vendor panel, Dynata.
For Vaccine Booster, within the sample of n=2,052, we obtained our targeted sub-groups through natural fallout, without having to oversample (note that one person can fall into more than one category).
Indigenous peoples and ethnic communities were identified using the following question:
Both surveys were conducted in English and French, with respondents being able to complete the survey in either official language of their choice.
The sampling methodology utilized email invitations + router technology to invite participants. Each participant received a unique URL link. This link could only be used once, with respondents being allowed to pause during completion and return to complete. On average, the online survey for Vaccination for Children took 9 minutes to complete, while Vaccine Booster took 6 minutes to complete.
A pre-test for Vaccination for Children was conducted on March 15th with a sample of n=16 respondents (12 in English and 4 in French), to confirm survey length or any data issues before fully deploying the questionnaire. A pre-test for Vaccine Booster was conducted on March 8th with a sample of n=45 respondents (23 in English and 22 in French). No issues were flagged during either pre-test.
Vaccination for Children
For the Vaccination for Children survey Ipsos partnered with Canadian Viewpoint Inc., on the fieldwork and in obtaining the required sample. Ipsos and Canadian Viewpoint have over 200,000 active panelists. Like Ipsos, Canadian Viewpoint uses mixed-mode strategies (phone/online/in-person) to build its panel permitting more representative samples. Canadian Viewpoint's online consumer panel is also recruited using post screeners during telephone surveys, Facebook, online vetted list and during in-person studies. Incentives are not used for recruitment purposes to ensure quality, but respondents are incentivized for completing survey directly proportionate to the amount of time taken to complete the survey and with comparable incentives offered by other online panel sources.
The comprehensive background profiling data gathered when respondents join a panel allows for the targeting of respondents based on key criteria, such as region, age, gender, education and income level, intention to buy a home within 12 months, profession, and other characteristics.
The data excludes any duplicate respondents based on IP capture and excludes panelists who have completed another Government of Canada survey in the previous 30 days as a member of that panel.
Sample Weighting
The table below shows the unweighted and weighted distributions of the online sample. Weighting was applied to the sample by gender and region to ensure that the final data reflects the 2016 Census. Age was not weighted. A Random Iterative Method (RIM) technique was applied for weighting. Note: totals may not add to 100% due to rounding.
Weighted and Unweighted Online Sample
| Unweighted Sample Size | Weighted Sample Size | |
| Canada | 1016 | 1016 |
| Region | ||
| British Columbia/Territories | 144 | 138 |
| Alberta | 110 | 114 |
| Prairies (MB/SK) | 59 | 66 |
| Ontario | 405 | 390 |
| Quebec | 234 | 238 |
| Atlantic Canada | 64 | 69 |
| Gender | ||
| Male | 477 | 496 |
| Female | 536 | 517 |
| Diverse | 3 | 3 |
Age |
||
| 18-34 | 265 | 263 |
| 35-54 | 656 | 657 |
| 55+ | 95 | 96 |
The figures presented in the table above show minimal differences between the unweighted and weighted samples. As a result of the strong representativeness of the unweighted data the largest weight factor that was applied for any respondent is 1.1, which is well within acceptable ranges for a survey of the general population.
Email Statistics
For this survey, a non-probability sample was used. Therefore, a response rate cannot be calculated.
However, the participation rate for the survey was 91%. Participation rate is calculated as follows:
Participation Rate = R/(R+IS+U).
| Completions | Post-campaign Survey |
| Invalid Cases | 1675 |
| Unresolved (U) | 0 |
| In-scope non-responding (IS) | 338 |
| Responding units (R) | 1673 |
| Participation Rate | 83% |
Online survey cases can be broken down into four broad categories:
Invalid Cases
These can include only clearly invalid cases (for example, invitations mistakenly sent to people who did not qualify for the study, incomplete or missing email addresses in a client-supplied list).
Unresolved (U)
These include all the cases where it cannot be established whether the invitation was sent to an eligible or an ineligible respondent or unit (for example, when email invitations bounce back or remain without an answer before the candidate could be qualified).
In-scope non-responding (IS)
These include all refusals, either implicit or explicit; all non-contacts and early break-offs of known eligible cases; and other eligible non-respondents (due to illness, leave of absence, vacation or other).
Responding units (R)
These include cases who have participated but who were disqualified afterwards (for example, when admissible quotas have been reached). It also includes all completed surveys or partially completed surveys that meet the criteria set by the researcher to be included in the analysis of the data.
Unresolved (U), in-scope (IS), and responding units (R) are all included in the broad category of "potentially eligible" cases. However, invalid cases are not included in the calculation of outcome rates.
For this survey a router was used to screen potential respondents and assign them to one of several surveys. Given this, it is not possible to estimate the number of cases "invited" to participate and whether they were eligible or not. Therefore, it is not possible to estimate the "unresolved" cases. For this survey, responding units is broken out as follows.
| Completions | Post-campaign Survey |
| - Over quota | 657 |
| - Qualified Completes | 1016 |
| Responding units (R) | 1673 |
The sample routing technology uses weighted randomization to assign surveys to participants. Upon entry into the system, panelists are checked to ensure they have not exceeded survey participation limits. A list of potential survey matches is determined for each panelist based upon the information we know about them. Panelists may be asked additional screening questions within the system to ensure they meet the project criteria. Priority may be given to surveys that are behind schedule; however, this is kept to a minimum as survey randomization must remain in place as a key element for preventing bias. In this case, limited prioritization was applied during the field window, therefore there is a low chance of sample bias.
Non-Response Analysis`1
The results of this survey are not statistically projectable to the target population because the sampling method used does not ensure that the sample represents the target population with a known margin of sampling error. Reported percentages are not generalizable to any group other than the sample studied, and therefore no formal statistical inferences can be drawn between the sample results and the broader target population it may be intended to reflect.
The table below compares the unweighted survey samples to the 2016 Census results of parents of children by region, age, gender. Overall, the sample is highly representative of national population of parents of children.
| Unweighted Percentage | Census 2016 Proportions (parents with children under 18) |
|
| Region* | ||
| British Columbia/Territories | 14% | 13% |
| Alberta | 11% | 11% |
| Prairies (MB/SK) | 6% | 7% |
| Ontario | 40% | 38% |
| Quebec | 23% | 23% |
| Atlantic | 7% | 7% |
| Gender* | ||
| Male | 47% | 49% |
| Female | 53% | 51% |
| Diverse | <1% | <1% |
| Age | ||
| 18-34 | 26% | 26% |
| 35-54 | 65% | 65% |
| 55+ | 9% | 9% |
* Denotes variables included in the weighting scheme.
Differences among the variables used in the weighting scheme are minimal. The distribution in the sample is consistent, with only slight differences observed between the unweighted percentages and the 2016 Census data.
Vaccine Booster
Ipsos partnered with Dynata on the fieldwork and in obtaining the required sample. Ipsos and Dynata have over 300,000 active panelists. Dynata's panels are continually refreshed and recruited through various channels including 1) loyalty program sourcing across travel, entertainment and other sectors; 2) online banners, cable TV advertising, mailings, social media influencers, mobile app, etc.; 3) integrated channels including access to online communities, social media platforms, publishers and others (this last group has not opted into a panel) but each participant has a Dynata profile.
Dynata's panel includes members who have opted in and receive a form of incentive. Incentives are based on a point-based system cashed in for rewards (electronic gift certificates, high street vouchers, charity donations, and long-term loyalty rewards), as well as sweepstakes. The amount of incentives is based on the specific requirements of each survey, depending on the length and complexity of the survey, the subject matter of the study, and the time required to complete a minimum number of interviews.
The comprehensive background profiling data gathered when respondents join a panel allows for the targeting of respondents based on key criteria, such as region, age, gender, education and income level, intention to buy a home within 12 months, profession, and other characteristics.
The data excludes any duplicate respondents based on IP capture and excludes panelists who have completed another Government of Canada survey in the previous 30 days as a member of that panel.
Sample Weighting
The table below shows the unweighted and weighted distributions of the online sample. Weighting was applied to the sample to ensure that the final data reflects the general adult population by region, age, and gender according to the 2016 Census. A Random Iterative Method (RIM) technique was applied for weighting. Note: totals may not add to 100% due to rounding.
Weighted and Unweighted Online Sample
| Unweighted Sample Size | Weighted Sample Size | |
| Canada | 2052 | 2052 |
| Region | ||
| British Columbia/Territories | 261 | 278 |
| Alberta | 251 | 230 |
| Prairies (MB/SK) | 138 | 134 |
| Ontario | 785 | 788 |
| Quebec | 475 | 482 |
| Atlantic Canada | 142 | 140 |
| Gender | ||
| Male | 986 | 996 |
| Female | 1054 | 1036 |
| Diverse | 12 | 20 |
Age |
||
| 18-34 | 575 | 575 |
| 35-54 | 703 | 698 |
| 55+ | 774 | 780 |
The figures presented in the table above show minimal differences between the unweighted and weighted samples. As a result of the strong representativeness of the unweighted data the largest weight factor that was applied for any respondent is 1.66, which is well within acceptable ranges for a survey of the general population.
Email Statistics
For this survey, a non-probability sample was used. Therefore, a response rate cannot be calculated.
However, the participation rate for the survey was 91%. Participation rate is calculated as follows:
Participation Rate = R/(R+IS+U).
| Completions | Post-campaign Survey |
| Invalid Cases | 239 |
| Unresolved (U) | 0 |
| In-scope non-responding (IS) | 170 |
| Responding units (R) | 2463 |
| Participation Rate | 94% |
Online survey cases can be broken down into four broad categories:
Invalid Cases
These can include only clearly invalid cases (for example, invitations mistakenly sent to people who did not qualify for the study, incomplete or missing email addresses in a client-supplied list).
Unresolved (U)
These include all the cases where it cannot be established whether the invitation was sent to an eligible or an ineligible respondent or unit (for example, when email invitations bounce back or remain without an answer before the candidate could be qualified).
In-scope non-responding (IS)
These include all refusals, either implicit or explicit; all non-contacts and early break-offs of known eligible cases; and other eligible non-respondents (due to illness, leave of absence, vacation or other).
Responding units (R)
These include cases who have participated but who were disqualified afterwards (for example, when admissible quotas have been reached). It also includes all completed surveys or partially completed surveys that meet the criteria set by the researcher to be included in the analysis of the data.
Unresolved (U), in-scope (IS), and responding units (R) are all included in the broad category of "potentially eligible" cases. However, invalid cases are not included in the calculation of outcome rates.
For this survey a router was used to screen potential respondents and assign them to one of several surveys. Given this, it is not possible to estimate the number of cases "invited" to participate and whether they were eligible or not. Therefore, it is not possible to estimate the "unresolved" cases. For this survey, responding units is broken out as follows.
| Completions | Post-campaign Survey |
| - Over quota | 411 |
| - Qualified Completes | 2052 |
| Responding units (R) | 2463 |
The sample routing technology uses weighted randomization to assign surveys to participants. Upon entry into the system, panelists are checked to ensure they have not exceeded survey participation limits. A list of potential survey matches is determined for each panelist based upon the information we know about them. Panelists may be asked additional screening questions within the system to ensure they meet the project criteria. Priority may be given to surveys that are behind schedule; however, this is kept to a minimum as survey randomization must remain in place as a key element for preventing bias. In this case, limited prioritization was applied during the field window, therefore there is a low chance of sample bias.
Non-Response Analysis
The results of this survey are not statistically projectable to the target population because the sampling method used does not ensure that the sample represents the target population with a known margin of sampling error. Reported percentages are not generalizable to any group other than the sample studied, and therefore no formal statistical inferences can be drawn between the sample results and the broader target population it may be intended to reflect.
The table below compares the unweighted survey samples to the 2016 Census results of Canadian adults ages 18+ by region, age, gender. Overall, the sample is highly representative of national population of Canadian adults ages 18+
| Unweighted Percentage | Census 2016 Proportions (Canadian adults 18+) |
|
| Region* | ||
| British Columbia/Territories | 13% | 14% |
| Alberta | 12% | 11% |
| Prairies (MB/SK) | 7% | 7% |
| Ontario | 38% | 38% |
| Quebec | 23% | 23% |
| Atlantic | 7% | 7% |
| Gender* | ||
| Male | 48% | 49% |
| Female | 51% | 50% |
| Diverse | <1% | 1% |
| Age* | ||
| 18-34 | 28% | 28% |
| 35-54 | 34% | 34% |
| 55+ | 13% | 14% |
* Denotes variables included in the weighting scheme.
Differences among the variables used in the weighting scheme are minimal. The distribution in the sample is consistent, with only slight differences observed between the unweighted percentages and the 2016 Census data.
INTRODUCTION
Thank you for taking a few minutes to complete this survey on current issues that matter to Canadians. Si vous préférez répondre à ce sondage en français, veuillez cliquer sur français [SWITCH TO FRENCH VERSION].
Your participation is voluntary and your responses will be kept entirely confidential. The survey takes about10 minutes to complete.
START SURVEY
Click here if you wish to verify the authenticity of this survey. To view our privacy policy, click here.
If you require any technical assistance, please contact daniel.kunasingam@ipsos.com.
SELECT ALL THAT APPLY
IF "NONE OF THESE ORGANIZATIONS" CONTINUE, OTHERWISE THANK AND TERMINATE.
YYYY
Refused
ADMISSIBLE RANGE 1900-2004
IF > 2004, THANK AND TERMINATE
ASK D IF QUESTION C IS LEFT BLANK
SELECT ONE ONLY
IF "LESS THAN 18 YEARS OLD" OR "Refused", THANK AND TERMINATE
SELECT ONE ONLY
IF NO PROVINCE OR TERRITORY IS SELECTED, THANK AND TERMINATE
SCREENER QUESTIONS TO IDENTIFY IF PARENTS OF CHILDREN
1- Yes
2- No
99- Prefer not to answer
IF "NO" OR "PREFER NOT TO ANSWER" THANK AND TERMINATE
ASK IF 1 at QF
1- Under 5
2- 5 to 11
3- 12 to 17
99- Prefer not to answer
SCREENER QUESTIONS TO IDENTIFY IF INDIGENOUS POPULATIONS OR ETHNIC/RACIALIZED POPULATIONS
CORE QUESTIONS
ASK ALL RESPONDENTS
Q1:
Over the past three months, have you seen, read or heard any advertising from the Government of Canada?
Q2:
Think about the most recent Government of Canada ad that comes to mind. What do you remember about this ad?
CAMPAIGN-SPECIFIC QUESTIONS [ASK IN BASELINE AND POST-CAMPAIGN SURVEYS]
ASK ALL RESPONDENTS
T1A:
Over the past three months, have you seen, read or heard any Government of Canada advertising about COVID-19 vaccination for children?
T1B:
Where have you seen, read or heard this ad about COVID-19 vaccination for children?
SELECT ALL THAT APPLY
T1C:
What do you remember about this ad?
[IF QG = 5-11 AND/OR QG = 12-17 ASK QT1D]
T1D: Thinking about your child(ren) aged 5-17, have they received at least one dose of a COVID-19 vaccine? (Select all that apply)
Yes
No, I will wait a bit before getting my child(ren) vaccinated
No, I will not get my child(ren) vaccinated
Not sure
[IF QG= Less than 5 ASK QT1E]
T1E: Thinking about your child(ren) under 5, if a COVID-19 vaccine becomes available to your child(ren), would you choose to get your child(ren) under 5 vaccinated? (Select all that apply)
Yes, as soon as it is available
Yes, but will wait a bit before getting my child(ren) vaccinated
No, I will not get my child(ren) vaccinated
I do not make these decisions
Not sure
AD RECALL QUESTIONS
T1H:
Here are some ads that have recently been broadcast on various media. Click here to watch.
[CLICK TO GO TO THE NEXT PAGE]
Over the past three months, have you seen, read or heard any of these ads?
T1I:
Where have you seen, read or heard these ads? SELECT ALL THAT APPLY
T1J:
What do you think is the main point these ads are trying to get across?
T1K:
Please indicate your level of agreement with the following statements about these ads?
RANDOMIZE STATEMENTS
| 1 Strongly Disagree |
2 | 3 | 4 | 5 Strongly Agree |
|
| These ads catch my attention | o | o | o | o | o |
| These ads are relevant to me | o | o | o | o | o |
| These ads are difficult to follow | o | o | o | o | o |
| These ads do not favour one political party over another | o | o | o | o | o |
| These ads talk about an important topic | o | o | o | o | o |
| These ads provide new information | o | o | o | o | o |
| These ads clearly convey that getting children vaccinated can contribute to improving their mental health by getting them back to the things they love | o | o | o | o | o |
| These ads clearly convey why children should get vaccinated. | o | o | o | o | o |
[ASK IF YES AT T1H]
T1LA. Did you do any of the following as a result of seeing the ad? Please select all that apply
[RANDOMIZE]
DEMOGRAPHIC QUESTIONS [ASK IN BASELINE AND POST-CAMPAIGN SURVEYS]
D1:
Which of the following categories best describes your current employment status? Are you…
SELECT ONE ONLY
D2:
What is the highest level of formal education that you have completed?
SELECT ONE ONLY
D4:
Which of the following categories best describes your total annual household income, including income from all household members, before taxes are deducted?
SELECT ONE ONLY
D5:
Where were you born?
ASK IF D5=BORN OUTSIDE CANADA
D6:YYYY
ADMISSIBLE RANGE: 1900-2022
D7:
What is (are) the language(s) you first learned at home as a child and still understand?
SELECT UP TO TWO
That concludes the survey. This survey was conducted on behalf of Health Canada. In the coming months the report will be available from Library and Archives Canada. We thank you very much for taking the time to answer this survey, it is greatly appreciated.
INTRODUCTION
Thank you for taking the time to complete this survey dealing with current issues of interest to Canadians. Do you prefer to continue in English or French? / Préférez-vous continuer en français ou en anglais ?
Your participation is voluntary, and your responses will be kept entirely confidential. The survey takes about 10 minutes to complete.
START SURVEY
To view our privacy policy, click here.
If you require any technical assistance, please contact Daniel Kunasingam at daniel.kunasingam@ipsos.com
IF "NONE OF THESE ORGANIZATIONS" CONTINUE, OTHERWISE THANK AND TERMINATE.
YYYY
Refused
ADMISSIBLE RANGE 1900-2004
IF > 2004, THANK AND TERMINATE
ASK D IF QUESTION C IS LEFT BLANK
PN: 2022 to convert year of birth to age
SELECT ONE ONLY
IF "LESS THAN 18 YEARS OLD" OR "Refused", THANK AND TERMINATE
SELECT ONE ONLY
IF NO PROVINCE OR TERRITORY IS SELECTED, THANK AND TERMINATE
SCREENER QUESTIONS TO IDENTIFY IF INDIGENOUS POPULATIONS OR ETHNIC/RACIALIZED POPULATIONS
CORE QUESTIONS
ASK ALL RESPONDENTS
Q1:
Over the past three months, have you seen, read or heard any advertising from the Government of Canada?
Q2:
Think about the most recent Government of Canada ad that comes to mind. What do you remember about this ad?
CAMPAIGN-SPECIFIC QUESTIONS [ASK IN BASELINE AND POST-CAMPAIGN SURVEYS]
ASK ALL RESPONDENTS
T1A:
Over the past three months, have you seen, read or heard any Government of Canada advertising about COVID-19 booster doses?
T1B:
Where have you seen, read or heard this ad about COVID-19 booster doses? Select all that apply.
T1C:
What do you remember about this ad?
ASK ALL RESPONDENTS
T1D: Have you received a COVID-19 vaccine (at least one dose)?
Yes
No
ASK IF "YES" IN T1D
T1E: How many doses have you received?
1 dose
2 doses
3 doses
4 doses
ASK IF "1 DOSE" OR "2 DOSES" in T1E
T1F: How likely are you to get the booster dose of the COVID-19 vaccine?
Very likely
Somewhat likely
Not very likely
Not at all likely
Don't know
T1H:
Here are some ads that have recently been broadcast on various media. Click next to watch.
Video (1):
Banner (1):
Social Media (1):
OOH (1):
[CLICK TO GO TO THE NEXT PAGE]
Over the past three weeks, have you seen any of these ads?
T1I:
Where have you seen, these ads?Select all that apply.
T1J:
What do you think is the main point these ads are trying to get across?
T1K:
Please indicate your level of agreement with the following statements about these ads?
RANDOMIZE STATEMENTS
| 1 Strongly Disagree |
2 | 3 | 4 | 5 Strongly Agree |
|
| These ads catch my attention | o | o | o | o | o |
| These ads are relevant to me | o | o | o | o | o |
| These ads are difficult to follow | o | o | o | o | o |
| These ads do not favour one political party over another | o | o | o | o | o |
| These ads talk about an important topic | o | o | o | o | o |
| These ads provide new information | o | o | o | o | o |
| These ads clearly convey a booster dose can help strengthen your protection against severe illness from COVID-19 | o | o | o | o | o |
[ASK IF YES AT T1H]
T1LA. Did you do any of the following as a result of seeing the ad? Please select all that apply
[RANDOMIZE]
DEMOGRAPHIC QUESTIONS
D1:
Which of the following categories best describes your current employment status? Are you…
SELECT ONE ONLY
D2:
What is the highest level of formal education that you have completed?
SELECT ONE ONLY
D3:
Are there any children under the age of 18 currently living in your household?
IF YES CONTINUE, OTHERWISE SKIP TO QD4
D3a How old is/are the child/children? Select all that apply
4- Under 5
5- 5 to 11
6- 12 to 17
99- Prefer not to answer
D4:
Which of the following categories best describes your total annual household income, including income from all household members, before taxes are deducted?
SELECT ONE ONLY
D5: Where were you born?
ASK IF D5=BORN OUTSIDE CANADA
D6:
In what year did you first move to Canada?
YYYY
ADMISSIBLE RANGE: 1900-2022
D7:
What is the language you first learned at home as a child and still understand?
SELECT UP TO TWO
English
French
Other language, specify ___________________
That concludes the survey. This survey was conducted on behalf of Health Canada. In the coming months the report will be available from Library and Archives Canada. We thank you very much for taking the time to answer this survey, it is greatly appreciated.
Please click "Continue" to submit your answers