Some, but not all, of our international analyses and reports use demographic variables or categorizations based on external data. We explain these more below:<\/p>\n\n\n\n
Ideology<\/h4>\n\n\n\n
We analyze respondents\u2019 attitudes based on where they place themselves on an ideological scale. We asked about political ideology using several slightly different scales and categorized people as being on the ideological left, center or right.<\/p>\n\n\n\n
- \n
- In most countries, we asked people to place themselves on a scale ranging from \u201cExtreme left\u201d to \u201cExtreme right.\u201d The question was asked this way in Argentina, Australia, Bangladesh, Brazil, Canada, Chile, Colombia, France, Germany, Greece, Hungary, Israel, Italy, Mexico, the Netherlands, Nigeria, Peru, the Philippines, Poland, South Africa, Spain, Sweden, Turkey and the U.K.<\/li>\n\n\n\n
- In Japan, Singapore, South Korea and Thailand ideology was measured on a scale from \u201cExtremely progressive\u201d to \u201cExtremely conservative.\u201d<\/li>\n\n\n\n
- In the U.S., ideology is defined as conservative (right), moderate (center) and liberal (left).<\/li>\n\n\n\n
- We did not ask about ideology in Ghana, India, Indonesia, Kenya, Malaysia, Pakistan, Sri Lanka or the West Bank and East Jerusalem.\u00a0<\/li>\n<\/ul>\n\n\n\n
Education<\/h4>\n\n\n\n
To compare educational groups across countries, we standardize education levels based on the United Nations\u2019 International Standard Classification of Education<\/a> (ISCED).<\/p>\n\n\n\n
High- and middle-income countries<\/h4>\n\n\n\n
Countries are classified as either high or middle income based on categories from the World Bank<\/a>\u00a0that rely on per capita gross national income. This is a classification we have used in other Pew Research Center analyses, including when looking at\u00a0global views of China<\/a>,\u00a0satisfaction with democracy<\/a>,\u00a0globalization<\/a>\u00a0and\u00a0national identity<\/a>.<\/p>\n\n\n\n
The American Trends Panel survey methodology<\/h3>\n\n\n\n
Overview<\/h4>\n\n\n\n
Data in this report comes from Wave 190 of the American Trends Panel (ATP), Pew Research Center\u2019s nationally representative panel of randomly selected U.S. adults. The survey was conducted from March 23 to March 29, 2026. A total of 3,507 panelists responded out of 4,046 who were sampled, for a survey-level response rate of 87%.<\/p>\n\n\n\n
The cumulative response rate accounting for nonresponse to the recruitment surveys and attrition is 3%. The break-off rate among panelists who logged on to the survey and completed at least one item is 1%. The margin of sampling error for the full sample of 3,507 respondents is plus or minus 1.9 percentage points.<\/p>\n\n\n\n
The survey includes an oversample<\/a> of Muslim, Jewish and non-Hispanic Asian adults in order to provide more precise estimates of the opinions and experiences of these smaller demographic subgroups. These oversampled groups are weighted back to reflect their correct proportions in the population.<\/p>\n\n\n\n
SSRS conducted the survey for Pew Research Center via online (n=3,377) and live telephone (n=130) interviewing. Interviews were conducted in both English and Spanish.<\/p>\n\n\n\n
To learn more about the ATP, read \u201cAbout the American Trends Panel<\/a>.\u201d<\/p>\n\n\n\n
Panel recruitment<\/h4>\n\n\n\n
Since 2018, the ATP has used address-based sampling (ABS) for recruitment. A study cover letter and a pre-incentive are mailed to a stratified, random sample of households selected from the U.S. Postal Service\u2019s Computerized Delivery Sequence File. This Postal Service file has been estimated to cover 90% to 98% of the population.[1. AAPOR Task Force on Address-based Sampling. 2016. \u201cAAPOR Report: Address-based Sampling<\/a>.\u201d] Within each sampled household, the adult with the next birthday is selected to participate. Other details of the ABS recruitment protocol have changed over time but are available upon request.[2. Email pewsurveys@pewresearch.org<\/a>.] Prior to 2018, the ATP was recruited using landline and cellphone random-digit-dial surveys administered in English and Spanish.<\/p>\n\n\n\n
A national sample of U.S. adults has been recruited to the ATP approximately once per year since 2014. In some years, the recruitment has included additional efforts (known as an \u201coversample\u201d) to improve the accuracy of data for underrepresented groups. For example, Hispanic adults, Black adults and Asian adults were oversampled in 2019, 2022 and 2023, respectively.<\/p>\n\n\n\n
Sample design<\/h4>\n\n\n\n
The overall target population for this survey was noninstitutionalized persons ages 18 and older living in the United States. It featured a stratified random sample from the ATP in which Muslim, Jewish and non-Hispanic Asian adults were selected with certainty. The remaining panelists were sampled at rates designed to ensure that the share of respondents in each stratum is proportional to its share of the U.S. adult population to the greatest extent possible. Respondent weights are adjusted to account for differential probabilities of selection as described in the Weighting section below.<\/p>\n\n\n\n
Questionnaire development and testing<\/h4>\n\n\n\n
The questionnaire was developed by Pew Research Center in consultation with SSRS. The web program used for online respondents was rigorously tested on both PC and mobile devices by the SSRS project team and Pew Research Center researchers. The SSRS project team also populated test data that was analyzed in SPSS to ensure the logic and randomizations were working as intended before launching the survey.<\/p>\n\n\n\n
Incentives<\/h4>\n\n\n\n
All respondents were offered a post-paid incentive for their participation. Respondents could choose to receive the post-paid incentive in the form of a check or gift code to Amazon.com, Target.com or Walmart.com. Incentive amounts ranged from $5 to $20 depending on whether the respondent belongs to a part of the population that is harder or easier to reach. Differential incentive amounts were designed to increase panel survey participation among groups that traditionally have low survey response propensities.<\/p>\n\n\n\n
Data collection protocol<\/h4>\n\n\n\n
The data collection field period for this survey was March 23 to March 29, 2026. Surveys were conducted via self-administered web survey or by live telephone interviewing.\u00a0<\/p>\n\n\n\n
For panelists who take surveys online:<\/strong>[3. The ATP does not use routers or chains in any part of its online data collection protocol, nor are they used to direct respondents to additional surveys.] Postcard notifications were mailed to a subset<\/a> on March 23.[4. Postcard notifications for web panelists are sent to 1) panelists who were recruited within the last two years and 2) panelists recruited prior to the last two years who opt to continue receiving postcard notifications.] Survey invitations were sent out in two separate launches: soft launch and full launch. Sixty panelists were included in the soft launch, which began with an initial invitation sent on March 23. All remaining English- and Spanish-speaking sampled online panelists were included in the full launch and were sent an invitation on March 24.<\/p>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_01.png?w=420\")
<\/a><\/figure>\n\n\n\nPanelists participating online were sent an email invitation and up to two email reminders if they did not respond to the survey. ATP panelists who consented to SMS messages were sent an SMS invitation with a link to the survey and up to two SMS reminders.<\/p>\n\n\n\n
For panelists who take surveys over the phone with a live interviewer:<\/strong> Prenotification postcards were mailed on March 20. Soft launch took place on March 23 and involved dialing until a total of three interviews had been completed. All remaining English- and Spanish-speaking sampled phone panelists\u2019 numbers were dialed throughout the remaining field period. Panelists who take surveys via phone can receive up to six calls from trained SSRS interviewers.<\/p>\n\n\n\n
Data quality checks<\/h4>\n\n\n\n
To ensure high-quality data, Center researchers performed data quality checks to identify any respondents showing patterns of satisficing. This includes checking for whether respondents left questions blank at very high rates or always selected the first or last answer presented. As a result of this checking, five ATP respondents were removed from the survey dataset prior to weighting and analysis.<\/p>\n\n\n\n
Weighting<\/h4>\n\n\n\n
The ATP data is weighted in a process that accounts for multiple stages of sampling and nonresponse that occur at different points in the panel survey process. First, each panelist begins with a base weight that reflects their probability of recruitment into the panel. These weights are then calibrated to align with the population benchmarks in the accompanying table to correct for nonresponse to recruitment surveys and panel attrition. If only a subsample of panelists was invited to participate in the wave, this weight is adjusted to account for any differential probabilities of selection.<\/p>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_02.png?w=420\")
<\/a><\/figure>\n\n\n\nAmong the panelists who completed the survey, this weight is then calibrated again to align with the population benchmarks identified in the accompanying table and trimmed at the 1st and 99th percentiles to reduce the loss in precision stemming from variance in the weights. Sampling errors and tests of statistical significance take into account the effect of weighting.<\/p>\n\n\n\n
The following table shows the unweighted sample sizes and the error attributable to sampling that would be expected at the 95% level of confidence for different groups in the survey.<\/p>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_03.png?w=420\")
<\/a><\/figure>\n\n\n\nSample sizes and sampling errors for other subgroups are available upon request. In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.<\/p>\n\n\n\n
2026 National Public Opinion Reference Survey Methodology<\/h3>\n\n\n\n
Summary<\/h4>\n\n\n\n
SSRS conducted the National Public Opinion Reference Survey (NPORS) for Pew Research Center using address-based sampling and a multimode protocol. The survey was fielded from Jan. 30, 2026, to June 18, 2026. Participants were first mailed an invitation to complete an online survey. A paper survey was later mailed to those who did not respond. Additionally, the mailings invited participants to call a toll-free number to take the survey over the phone with a live interviewer. In total, 2,473 respondents completed the survey online, 2,694 respondents completed the paper survey, and 344 respondents completed the survey over the phone (total n=5,511). The survey was administered in English and Spanish. The AAPOR Response Rate 1 was 30%.<\/p>\n\n\n\n
Sample definition<\/h4>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_04.png?w=640\")
<\/a><\/figure>\n\n\n\nThe sample drawn was a national, stratified random sample of U.S. addresses, with differential probabilities of selection across the mutually exclusive strata. Strata were defined by census block groups, based on the population density of racial\/ethnic groups and educational attainment. The sample was drawn from the U.S. Postal Service Computerized Delivery Sequence File and was provided by MSG (Marketing Systems Group). Occupied residential addresses (including \u201cdrop points\u201d) in all U.S. states (including Alaska and Hawaii) and the District of Columbia had a nonzero chance of selection. SSRS designed the sample plan as shown in the table above.<\/p>\n\n\n\n
Mailing protocol<\/h4>\n\n\n\n
SSRS sent initial mailings in a 9-by-12-inch window envelope via first-class mail to the 19,860 sampled households. These packets included two $1 bills (visible from the outside of the envelope) and a letter that asked a member of the household to complete the survey. The letter provided a URL and a QR code for the online survey; a toll-free call-in number; a password to enter on the online survey\u2019s landing page, or tell the telephone interviewers if they chose to call in; and a FAQ section printed on the reverse side. If two or more adults were in the household, the letter asked the adult with the next birthday to complete the survey. Nonresponding households were later sent a reminder postcard and then a reminder letter via first-class mail.<\/p>\n\n\n\n
After the web portion of the data collection period had ended, SSRS sent nonresponding households with a deliverable address a 9-by-12-inch Priority Mail window envelope. The Priority envelope contained a letter with a FAQ section printed on the reverse side, a visible $5 bill, a paper version of the survey and a postage-paid return envelope. The paper survey was one 11-by-17-inch page folded booklet-style. The within-household selection instructions were identical to those used in the earlier online survey request. The same households were later sent a second envelope containing another copy of the paper questionnaire by first-class mail.<\/p>\n\n\n\n
The initial mailing was sent out in two separate launches: soft launch and full launch. The soft launch made up 5% of the sample and was sent out several days earlier than the full launch. The full launch consisted of the remaining sample.<\/p>\n\n\n\n
Households in Hispanic strata, and additional sample records predicted to likely be Hispanic, received all materials in English and Spanish. All other households received materials in English only. Those who completed the survey online, on the phone, or returned the completed paper survey were sent a $10 post-paid incentive.<\/p>\n\n\n\n
Questionnaire development and testing<\/h4>\n\n\n\n
Pew Research Center developed the questionnaire in consultation with SSRS. The online questionnaire was tested on both desktop and mobile devices. The test data was analyzed to ensure the logic and randomizations were working as intended before the survey was launched. <\/p>\n\n\n\n
Weighting<\/h4>\n\n\n\n
The survey was weighted to support reliable inference from the sample to the target population of U.S. adults. The weight was created using a multistep process that includes a base weight adjusting for differential probabilities of selection and a raking calibration that aligns the survey with the population benchmarks. The process starts with the base weight, which accounted for the probability of selection of the address from the U.S. Postal Service Computerized Delivery Sequence File frame, as well as the number of adults living in the household, and incorporated an adaptive mode adjustment<\/a> for cases that responded in an offline mode.<\/p>\n\n\n\n
Then the base weights are calibrated to population benchmarks using raking, or iterative proportional fitting. The raking dimensions and the source for the population parameter estimates are reported in the table below. All raking targets are based on the noninstitutionalized U.S. adult population (ages 18 and older). These weights are trimmed at the 1st and 99th percentiles to reduce the loss in precision stemming from variance in the weights.<\/p>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_05.png?w=640\")
<\/a><\/figure>\n\n\n\nDesign effect and margin of error<\/h4>\n\n\n\n
Weighting and survey design features that depart from simple random sampling tend to result in an increase in the variance of survey estimates. This increase, known as the design effect, or \u201cdeff,\u201d should be incorporated into the margin of error, standard errors and tests of statistical significance. The overall design effect for a survey is commonly approximated as 1 plus the squared coefficient of variation of the weights.<\/p>\n\n\n\n
For this survey, the margin of error (half-width of the 95% confidence interval) incorporating the design effect for full sample estimates at 50% is plus or minus 1.8 percentage points. Estimates based on subgroups will have larger margins of error. It is important to remember that random sampling error is only one possible source of error in a survey estimate. Other sources, such as question wording and reporting inaccuracy, may contribute additional error. A summary of the weights and their associated design effect is reported in the table below.<\/p>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_06.png?w=640\")
<\/a><\/figure>\n\n\n\nDispositions<\/h4>\n\n\n\n
![\"A](\"https:\/\/alpha.pewresearch.org\/pewresearch-org\/wp-content\/uploads\/sites\/20\/2026\/09\/pg_2026.09.30_social-media-democracy_m_07.png?w=420\")
<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"