…and race/ethnicity based on 2022 turnout modeling. It is important to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the…
…of error (MOE) of +/- 3 percentage points. The data sets were weighted by gender, age, education, region and race/ethnicity based on 2022 turnout modeling. It is important to remember…
…data sets were weighted by gender, age, education, and region based on 2022 turnout modeling. It is important to remember that subsets based on gender, age, education, and race/ethnicity carry…
…2022 turnout modeling. It is important to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the sample size is reduced….
…to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the sample size is reduced. Data was collected using a cellphone…
…(MOE) of +/- 3 percentage points. The data sets were weighted by gender, age, education, and party registration based on 2022 turnout modeling. It is important to remember that subsets…
…remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the sample size is reduced. Data was collected using a cellphone sample…
…and race/ethnicity based on 2022 turnout modeling. It is important to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the…
…is important to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error, as the sample size is reduced. Data was collected using…