Comparing Survey Sampling Strategies: Random-Digit Dial vs. Voter Files
A new telephone survey experiment finds that an opinion poll drawn from a commercial voter file produces results similar to those from a sample based on random-digit dialing.
Numbers, Facts and Trends Shaping Your World
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Methodology
About Pew Research Center’s Mobile Technology and Its Social Impact Survey 2018 Results for the survey are based on face-to-face interviews conducted under the direction of D3 Systems, Inc. The results are based on national samples. More details about our international survey methodology and country-specific sample designs are available here.
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Part Two: Taking a closer look at local news attitudes and behaviors within individual local areas
Residents of two areas – San Antonio-New Braunfels, TX and Minneapolis-St. Paul-Bloomington, MN-WI – see their local news media as notably more connected to the community than U.S. adults overall, and they also give their local media better ratings. Residents of the other two – Riverside-San Bernardino-Ontario, CA and Cincinnati, OH-KY-IN – show more negative attitudes and lower interest in local news.
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Methodology – Spring 2018 Global Attitudes Survey
About the Pew Research Center’s Spring 2018 Global Attitudes Survey Results for the survey are based on telephone interviews conducted under the direction of Kantar Public UK and Langer Research Associates. The results are based on national samples, unless otherwise noted. More details about our international survey methodology and country-specific sample designs are available here. […]
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3. How strongly are religious, social and demographic factors linked with religious knowledge?
The results of the survey suggest that there are many traits that are linked with levels of religious knowledge. These include demographic factors, such as age and education, as well as religious affiliation. But which of these traits are strongly connected with greater knowledge, and which are related only tangentially, if at all? This chapter […]
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Appendix: Measures and scales
County-level 2016 vote classification Respondents’ county-level 2016 vote share is used throughout this analysis. Counties were classified according to the proportion of the two-party vote (i.e., excluding third party candidate vote totals from the denominator), using county vote totals found in Dave Leip’s Atlas of U.S. Presidential Elections. For instance, Trump by 10+ counties are […]