Poll Toplines and Methodology

October 2019 Poll

Grinnell College National Poll October 2019 Toplines with Methodology and Crosstabs

The Grinnell College National Poll, conducted Oct. 17-23 for Grinnell College by Selzer & Co. of Des Moines, Iowa, is based on telephone interviews with 1,003 U.S. adults ages 18 or older, including 806 likely voters in the 2020 general election.

Interviewers with Quantel Research contacted households with randomly selected landline and cell phone numbers supplied by Dynata. Interviews were administered in English. Responses were adjusted by sex, age, and race to reflect the general population based on recent census data.

Percentages based on the full probability sample of 1,003 respondents may have a maximum margin of error of plus or minus 3.1 percentage points. This means that if this survey were repeated using the same questions and the same methodology, 19 times out of 20, the findings would not vary from the true population value by more than plus or minus 3.1 percentage points. Results based on smaller samples of respondents — such as by gender or age — have a larger margin of error. Results based on likely voters in the 2020 general election have a maximum margin of error of plus or minus 3.5 percentage points.

November 2018 Poll

Grinnell College National Poll November 2018 Toplines with Methodology and Crosstabs

The Grinnell College National Poll, conducted Nov. 24-27 for Grinnell College by Selzer & Co. of Des Moines, Iowa, is based on telephone interviews with 1,000 U.S. adults ages 18 or older, including 828 likely voters in the 2020 general election and 769 self-identified voters in the 2018 midterm election.

Interviewers with Quantel Research contacted households with randomly selected landline and cell phone numbers supplied by Survey Sampling International. Interviews were administered in English. Responses were adjusted by age, race, and educational attainment to reflect the general population based on recent census data.

Percentages based on the full probability sample of 1,000 respondents may have a maximum margin of error of plus or minus 3.1 percentage points. This means that if this survey were repeated using the same questions and the same methodology, 19 times out of 20, the findings would not vary from the true population value by more than plus or minus 3.1 percentage points. Results based on smaller samples of respondents — such as by gender or age — have a larger margin of error. Results based on likely voters in the 2020 general election have a maximum margin of error of plus or minus 3.4 percentage points, and results based on the self-identified voters in the 2018 midterm election have a maximum margin of error of plus or minus 3.5 percentage points.

August/September 2018 Poll

Grinnell College National Poll Sept 2018 Toplines with Methodology

The Grinnell College National Poll, conducted Aug. 29-Sept. 2 for Grinnell College by Selzer & Co. of Des Moines, Iowa, is based on telephone interviews with 1,002 U.S. adults ages 18 or older, including 779 likely voters in the 2018 general election.

Interviewers with Quantel Research contacted households with randomly selected landline and cell phone numbers supplied by Survey Sampling International. Interviews were administered in English. Responses were adjusted by age, sex, race, and educational attainment to reflect the general population based on recent census data.

Percentages based on the full probability sample of 1,002 respondents may have a maximum margin of error of plus or minus 3.1 percentage points. This means that if this survey were repeated using the same questions and the same methodology, 19 times out of 20, the findings would not vary from the true population value by more than plus or minus 3.1 percentage points. Results based on smaller samples of respondents — such as by gender or age — have a larger margin of error. Results based on likely voters in the 2018 general election have a maximum margin of error of plus or minus 3.5 percentage points.

 

For media inquiries, contact Andy Garman.

For additional technical information about this study, contact Michelle Yeoman.

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