Center for Opinion Research
The Department of Political Science & History operates a full scale polling center, which includes professional computer assisted telephone interviewing (CATI) software and 25 work stations for students to learn about survey research by experiencing how the data is collected.
The June survey by the Dallas Morning News and UT Tyler is the third poll that has studied the views of Texas voters during the 2021 legislative session. The survey also includes 1,090 registered voters to provide insights about the general election.
(Registered Voter Report)
The Dallas Morning News/UT Tyler Poll reflects a statewide random sample of 1,090 registered voters during the eight days between June 22 and June 29. The mixed mode sample includes 256 registered voters who were surveyed over the phone by the Center for Opinion Research with support from ReconMR and 834 registered voters that were randomly selected from Dynata’s panel of registered voters that was stratified to match the demographics of Texas’s registered voter population. The online and phone surveys were conducted in English and Spanish.
Post-stratification weights were calculated for the random telephone sample and web sample separately to be representative of the Texas registered voter population, before the two weighted samples were combined into one standardized sample (see Elliott 2009). To balance sample demographics with the estimated gender, age, race/ethnicity, and education of registered voters in the state we use an iterated process known as raking. These parameters were derived from 2020 Current Population Survey to reflect Texas’s electorate. Also, to account for the influence of urbanization on voter registration the sample is also weighted to reflect the population density of the state using the counts of registered voters in all 254 counties based on data from the Texas Secretary of State. Election data from the Texas Secretary of State is also used to reflect voting patterns in the state. The use of these weights in statistical analysis ensures that the characteristics of the sample closely reflect the characteristics of registered voters in Texas. A second step uses weights from the probability phone sample to standardize the weights for the non-probability online sample to reduce sampling bias (see Elliott 2009).
In this poll, the margin of error for sample of 1,090 registered voters in Texas is +/- 3.4% including design effects in this poll at a 95 percent confidence interval.