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We launched this website in order to showcase our election research, and our suite of polling technologies including Probit and IVR. We will be updating this site frequently with new polls, analysis and insight into Canadian politics. EKOS's experience, knowledge and sophisticated research designs have contributed positively to many previous elections.

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Daily Tracking: August 31, 2021

This survey was conducted using High Definition Interactive Voice Response (HD-IVR™) technology, which allows respondents to enter their preferences by punching the keypad on their phone, rather than telling them to an operator. In an effort to reduce the coverage bias of landline only RDD, we created a dual landline/cell phone RDD sampling frame for this research. As a result, we are able to reach those with a landline and cell phone, as well as cell phone only households and landline only households.

The field dates for this survey are August 28-30, 2021. In total, a random sample of 942 Canadians aged 18 and over responded to the survey. The margin of error associated with the total sample is +/- 3.2 percentage points, 19 times out of 20.

Please note that the margin of error increases when the results are sub-divided (i.e., error margins for sub-groups such as region, sex, age, education). All the data have been statistically weighted by age, gender, and region to ensure the sample’s composition reflects that of the actual population of Canada according to Census data.

EKOS follows the CRIC Public Opinion Research Standards and Disclosure Requirements.

Please click here for a copy of the data tables.

Please click here for a copy of the questionnaire that was used for this survey.

3 comments to Daily Tracking: August 31, 2021

  • Joseph Henkle

    More statistics for Reddit users to jam their heads in the sand to ignore. Wonder where the goalpost for the polls being predictive will move to this time!

  • Larry Gold

    I think this may be the only poll that shows the Cons ahead in Atlantic by 6 points. and at 49 % in BC.

  • I wonder if your attribution of description in Table 5 could be revised. The word class doesn’t help determine whether its a revenue/income base measure or wealth measure. Further, most people don’t like to be referred to as “poor”.
    You could use income quartiles or wealth quartiles (if this is the measure), to present a less “emotional” profile of your respondents.
    Other expressions we are used to are also, bottom, lower middle, upper middle and upper.

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