March 2018 Pew Political Survey

You said: write a small description of this text PEW RESEARCH CENTER - Global Attitudes & Trends

Summer 2020 14-Nation Survey

It is important to read this information before using the Pew Research Center's Summer 2020 Global Attitudes survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general populations, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes & Trends Question Database on our website: http://www.pewresearch.org/global/question-search/
The questionnaire includes full question wording as well as answer category values. Question wording and answer categories for any demographic questions that vary by country can be found in the variable and value labels in the data file.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness are available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.

ChatGPT said:

This document provides an overview of the Pew Research Center’s Summer 2020 Global Attitudes & Trends 14-Nation Survey. It outlines key information for users of the dataset, including instructions on applying the correct weighting variable when analyzing general population attitudes, clarification that topline results reflect general populations unless otherwise noted, and guidance on accessing detailed trends via Pew’s online question database. It also notes that the questionnaire contains full wording and response categories, with demographic variations specified in the data file. Additionally, methodological details for each country’s survey are available online, and some variables have been removed from the dataset due to disclosure concerns or administrative errors.

You said: write some tags of it ChatGPT said:

Here are some relevant tags for the text:

Pew Research Center

Global Attitudes & Trends

International Survey

Public Opinion

2020 Survey

Methodology

Data Analysis

Weighting Variables

Cross-National Research

Social Science Research

Survey Dataset

Research Methods

Comparative Politics

Global Public Opinion

Would you like me to make these SEO-friendly hashtags (like for social media) or keep them as research/archive keywords?

You said: write someuseful notes, description and tags about this : PEW RESEARCH CENTER - Global Attitudes & Trends

Spring 2020 U.S. Survey

It is important to read this information before using the Pew Research Center's Spring 2020 Global Attitudes survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general population, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes & Trends Question Database on our website: http://www.pewresearch.org/global/question-search/
The questionnaire includes full question wording as well as answer category values.
A methodological overview, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness is available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.

ChatGPT said:

Here’s a structured set of notes, description, and tags for the Pew Research Center Spring 2020 U.S. Global Attitudes Survey:

📌 Notes

Survey Focus: Captures U.S. public opinion as part of Pew’s Global Attitudes & Trends project.

Weighting: Users must apply the Weight variable for accurate analysis of general population attitudes.

Topline Results: Reflect the U.S. general population unless otherwise specified. Historical and comparative topline trends can be accessed via Pew’s online question database.

Questionnaire: Contains full question wording and response category values for transparency in analysis.

Methodology: Includes details on sample design, mode of survey administration, fieldwork dates, sample size, languages, margin of error, and representativeness. Accessible through Pew’s methodology portal.

Data Adjustments: Some variables are excluded due to disclosure risks or administrative errors.

📌 Description

The Spring 2020 U.S. Global Attitudes Survey by Pew Research Center is part of a broader international research program assessing public opinion on key social, political, and cultural issues. This dataset is weighted for national representativeness and provides topline results for the U.S. population. Methodological details ensure transparency, while some variables have been removed for confidentiality or accuracy reasons. Researchers and analysts can access additional resources such as historical topline trends and survey methodology via Pew’s website.

📌 Tags

Pew Research Center

Global Attitudes & Trends

U.S. Public Opinion

2020 Survey

Spring 2020

Social Research

Survey Dataset

Weighting Variables

Political Attitudes

Public Opinion Research

Research Methodology

Cross-National Studies

Comparative Survey Data

Quantitative Research

Do you want me to also create a short, ready-to-use citation-style reference for this survey (like for academic papers)?

You said: description, tags and notes PEW RESEARCH CENTER - Global Attitudes & Trends

Spring 2019 34-Nation Survey

It is important to read this information before using the Pew Research Center's Spring 2019 Global Attitudes survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general populations, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes & Trends Question Database on our website: http://www.pewresearch.org/global/question-search/
The questionnaire includes full question wording as well as answer category values. Question wording and answer categories for any demographic questions that vary by country can be found in the variable and value labels in the data file.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness are available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.

ChatGPT said:

Here’s a clear and structured summary for the Pew Research Center – Spring 2019 Global Attitudes & Trends 34-Nation Survey:

📌 Description

The Spring 2019 Global Attitudes & Trends 34-Nation Survey by Pew Research Center provides insights into public opinion across 34 countries on a range of political, social, and cultural issues. The dataset is weighted to represent general populations and includes topline results, detailed questionnaires with full question wording, and answer categories. Methodological overviews for each country—covering sample design, fieldwork, languages, sample size, margin of error, and representativeness—are available online. Some variables are excluded due to disclosure risks or administrative errors.

📌 Notes

Scope: Covers attitudes in 34 nations, making it one of the larger comparative global surveys.

Weighting: Use the Weight variable to ensure nationally representative analysis.

Topline Data: Results generally reflect general populations unless otherwise specified. Trends can be explored via Pew’s online database.

Questionnaire: Includes full wording and answer values; demographic variations across countries are labeled in the data file.

Methodology: Comprehensive survey design documentation is available on Pew’s methodology site.

Data Adjustments: Certain variables have been removed due to sensitivity or error.

📌 Tags

Pew Research Center

Global Attitudes & Trends

2019 Survey

34-Nation Survey

Public Opinion

Cross-National Research

International Survey

Social Attitudes

Political Attitudes

Quantitative Research

Comparative Studies

Global Public Opinion

Research Methodology

Survey Dataset

Would you like me to also highlight the main themes/issues surveyed in 2019 (like views on international relations, democracy, or global powers), so the description is more topical rather than just methodological?

You said: notes,descri[ption,tags PEW RESEARCH CENTER - Global Attitudes & Trends

Fall 2020 4-Nation Survey

It is important to read this information before using the Pew Research Center's Fall 2020 Global Attitudes survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general populations, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes & Trends Question Database on our website: http://www.pewresearch.org/global/question-search/
The questionnaire includes full question wording as well as answer category values. Question wording and answer categories for any demographic questions that vary by country can be found in the variable and value labels in the data file.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness are available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors. ChatGPT said:

Here’s a structured summary for the Pew Research Center – Fall 2020 Global Attitudes & Trends 4-Nation Survey:

📌 Description

The Fall 2020 Global Attitudes & Trends 4-Nation Survey by Pew Research Center examines public opinion in four countries on key political, social, and cultural issues. The dataset is weighted for general population representativeness and provides topline results unless otherwise indicated. It includes questionnaires with full question wording and answer categories, as well as methodological details for each country covering sample design, mode of administration, fieldwork dates, languages, sample size, margin of error, and representativeness. Some variables have been removed due to disclosure concerns or administrative errors.

📌 Notes

Scope: Conducted across 4 nations in Fall 2020.

Weighting: Apply the Weight variable when analyzing general population attitudes.

Topline Results: Represent general populations unless otherwise stated; historical and trend data available in Pew’s online database.

Questionnaire: Contains full question text and response options, with demographic-specific variations by country included in data labels.

Methodology: Detailed methodological overviews available on Pew’s methodology website.

Data Adjustments: Certain variables excluded due to sensitivity or error.

📌 Tags

Pew Research Center

Global Attitudes & Trends

Fall 2020 Survey

4-Nation Survey

Public Opinion

Social Attitudes

Political Attitudes

Comparative Survey

International Research

Cross-National Studies

Survey Dataset

Quantitative Research

Research Methodology

Global Public Opinion

Would you like me to also create a comparative note that briefly distinguishes this 4-nation survey from the larger 14-nation and 34-nation surveys, so it’s easier to contextualize in research notes?

You said: description, notes and tags and a small title PEW RESEARCH CENTER - Media and Politics in Western Europe

Survey of eight Western European countries conducted Oct. 30-Dec. 20, 2017.

It is important to read this information before using the Pew Research Center's Fall 2017 Media and Politics in Western Europe survey dataset.

The general population weight must be used when analyzing the attitudes and opinions of the general populations. General population variable name: Weight
Weight by weight for this analysis.
The full topline results are for the overall sample, unless otherwise stated.
The questionnaire includes full question and response option wording, response option values, and filtering and scripting instructions.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness are available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/media-and-politics-in-western-europe/all-country/all-year
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or due to the possibility that the translated item caused confusion. Q8DEh has been omitted due to the possibility that the language used to identify the German news outlet Die Tageszeitung may have confused respondents.
This survey employed multiple forms of randomization, including: (a) Order of battery items: For battery questions, we randomized the order in which battery items were asked. (b) Order of paired statement questions: Paired statement questions (Q22-Q32) were grouped by topic, resulting in five groups: Q22/Q23 (EU), Q24/Q25 (economy), Q26/Q27 (elites), Q28/Q29/Q30 (immigration) and Q31/Q32 (social issues). The order of the first four groups was randomized; Q31 and Q32 were always asked last. The order of the questions within each group was randomized as well. (c) Order of statements within pared statement questions: Within each paired statement question (Q22-Q32), we also randomized the order in which the statements appeared. Variables indicating randomization order are available upon request.
In Q8 through Q10, respondents were asked a series of questions about eight specific news outlets in their country, which in some cases are part of a larger news organization. For example, in France, Q8FRb, Q9FRb and Q10FRb asked specifically about the television news channel France 2, which is part of the larger France T l visions family of channels.

8a. In the Q8 question battery, respondents were asked whether they use eight key news sources in their country. To avoid redundancy, if respondents said in Q7 that their top news source was one of these eight news outlets, they were not asked again whether they used that source in Q8. For example, if a British respondent said in Q7 that their top news source was "BBC," we did not ask them again in Q8UKa if they use the BBC. Instead, this respondent was coded as being a BBC user in Q8UKa.

8b. If a respondent's top source in Q7 was one of the 8 particular sources asked about in Q8, they were not asked Q9i or Q10i. ChatGPT said:

Here’s a structured entry for the Pew Research Center – Media and Politics in Western Europe (2017 Survey):

📌 Title

Media and Politics in Western Europe – Pew Research Center (2017 Survey)

📌 Description

The Media and Politics in Western Europe Survey (Fall 2017) conducted by Pew Research Center examines media consumption, trust in news outlets, and political attitudes across eight Western European countries. Conducted between October 30 and December 20, 2017, the survey dataset is weighted to represent general populations and includes detailed questionnaires, full wording of questions and response options, as well as methodological overviews for each country. The survey employed multiple randomization techniques to reduce bias, particularly in batteries and paired statement questions. Some variables were excluded due to disclosure risks or translation issues, such as the removal of a question referencing the German news outlet Die Tageszeitung. The data also include insights into the use of major national media sources.

📌 Notes

Scope: Covers eight Western European countries, focusing on news consumption, trust in media, and political attitudes.

Weighting: Apply the Weight variable to ensure population-representative analysis.

Topline Results: Reflect the general population unless otherwise stated.

Questionnaire Details: Includes question text, response categories, values, filtering, and scripting instructions.

Methodology: Documentation includes sample design, fieldwork dates, mode, sample size, languages, representativeness, and margin of error.

Data Adjustments: Some variables removed due to disclosure concerns or translation confusion (e.g., Die Tageszeitung in Germany).

Randomization: Extensive randomization applied to battery questions, paired statement groups, and statement ordering to minimize bias.

Media Coverage Questions: Respondents asked about use and trust of eight key news sources in their country. Redundancy avoided by filtering based on top news sources identified earlier in the questionnaire.

📌 Tags

Pew Research Center

Media and Politics

Western Europe

2017 Survey

News Consumption

Trust in Media

Political Attitudes

Comparative Media Study

Public Opinion Research

Cross-National Research

Survey Dataset

Quantitative Research

Randomized Survey Design

Media Landscape Europe

Do you also want me to condense this into a short abstract-style version (3–4 sentences) that you could use in a research database or bibliography?

You said: description, tag and notes ChatGPT said:

Got it — here’s a clean version for the Pew Research Center – Media and Politics in Western Europe (2017 Survey):

📌 Description

The Media and Politics in Western Europe Survey (Fall 2017) by Pew Research Center explores media use, trust in news sources, and political attitudes in eight Western European countries. Conducted between October and December 2017, the study uses population weights to ensure representativeness and provides topline results, full question wording, and detailed methodological documentation. The survey incorporated randomization in question order to reduce bias and includes country-specific insights into key news outlets. Some variables were removed due to translation issues or disclosure sensitivities.

📌 Notes

Countries Covered: Eight Western European nations.

Focus Areas: Media consumption, trust in outlets, and political views.

Weighting: Apply the Weight variable for valid population analysis.

Topline Results: Represent the overall sample unless stated otherwise.

Methodology: Sample design, languages, fieldwork dates, margin of error, and representativeness available online.

Data Adjustments: Certain variables excluded (e.g., a question referencing Die Tageszeitung in Germany).

Randomization: Applied to question batteries and paired statements to minimize bias.

Media Questions: Assessed top news sources and usage of eight major outlets per country, avoiding redundancy through skip logic.

📌 Tags

Pew Research Center

Media and Politics

Western Europe

Public Opinion

2017 Survey

News Consumption

Trust in Media

Political Attitudes

Comparative Media Research

International Survey

Survey Dataset

Quantitative Research

Randomization in Surveys

Media Landscape

Would you like me to also create a short, one-line summary version (like a catalog entry) that could be used for quick referencing?

You said:

description, tag and notes PEW RESEARCH CENTER - Media and Politics in Western Europe

Survey of eight Western European countries conducted Oct. 30-Dec. 20, 2017.

It is important to read this information before using the Pew Research Center's Fall 2017 Media and Politics in Western Europe survey dataset.

The general population weight must be used when analyzing the attitudes and opinions of the general populations. General population variable name: Weight
Weight by weight for this analysis.
The full topline results are for the overall sample, unless otherwise stated.
The questionnaire includes full question and response option wording, response option values, and filtering and scripting instructions.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness are available on our methods website: http://www.pewresearch.org/methodology/international-survey-research/international-methodology/media-and-politics-in-western-europe/all-country/all-year
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or due to the possibility that the translated item caused confusion. Q8DEh has been omitted due to the possibility that the language used to identify the German news outlet Die Tageszeitung may have confused respondents.
This survey employed multiple forms of randomization, including: (a) Order of battery items: For battery questions, we randomized the order in which battery items were asked. (b) Order of paired statement questions: Paired statement questions (Q22-Q32) were grouped by topic, resulting in five groups: Q22/Q23 (EU), Q24/Q25 (economy), Q26/Q27 (elites), Q28/Q29/Q30 (immigration) and Q31/Q32 (social issues). The order of the first four groups was randomized; Q31 and Q32 were always asked last. The order of the questions within each group was randomized as well. (c) Order of statements within pared statement questions: Within each paired statement question (Q22-Q32), we also randomized the order in which the statements appeared. Variables indicating randomization order are available upon request.
In Q8 through Q10, respondents were asked a series of questions about eight specific news outlets in their country, which in some cases are part of a larger news organization. For example, in France, Q8FRb, Q9FRb and Q10FRb asked specifically about the television news channel France 2, which is part of the larger France T l visions family of channels.

8b. If a respondent's top source in Q7 was one of the 8 particular sources asked about in Q8, they were not asked Q9i or Q10i. ChatGPT said:

Here’s a structured entry for the Pew Research Center – Media and Politics in Western Europe (2017 Survey):

📌 Description

The Media and Politics in Western Europe Survey (Oct. 30–Dec. 20, 2017) by Pew Research Center examines how citizens in eight Western European countries consume news, trust media outlets, and view politics. The dataset includes full questionnaires with wording, response values, and filtering instructions, and is weighted for nationally representative analysis. Methodological overviews provide detailed information on sampling, fieldwork, languages, and error margins. To minimize bias, the survey applied randomization in battery items and paired statement questions. Certain variables were removed due to disclosure sensitivities or translation issues (e.g., reference to Die Tageszeitung in Germany). The study also maps audience use of specific national media outlets, such as France 2 in France or the BBC in the UK.

📌 Notes

Countries: Eight Western European nations.

Focus: Media use, trust in news, political attitudes.

Weighting: Use Weight variable for general population analysis.

Topline Results: Represent overall sample unless specified.

Questionnaire: Includes wording, response options, values, filters, and scripting details.

Methodology: Full documentation (sample design, languages, fieldwork dates, size, representativeness, margin of error) available on Pew’s site.

Data Adjustments: Variables removed due to sensitivities/translation issues (e.g., Die Tageszeitung).

Randomization: Used for batteries, paired statements, and within-statement order.

Media Questions: Focused on eight key outlets per country; redundancy avoided if respondents already listed the outlet as top source.

📌 Tags

Pew Research Center

Media and Politics

Western Europe

2017 Survey

Public Opinion

News Consumption

Trust in Media

Political Attitudes

International Survey

Cross-National Research

Media Landscape

Survey Dataset

Quantitative Research

Randomization in Surveys

Would you like me to also make a very short catalog-style entry (2–3 lines) that you can use in a research database for quick identification?

You said: tag.description and notes PEW RESEARCH CENTER - Global Attitudes & Trends

April 2020 Survey of U.S. adults

It is important to read this information before using the April 2020 Pew Research Center survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general population is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general population, unless otherwise stated.
The questionnaire includes full question wording as well as answer category values.
Due to length, the question label for Q3 is truncated in the dataset. See the questionnaire for full question wording.
The Methods in Detail provides a methodological overview, invluding sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness.
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.
All response options, including for demographic variables, are contained within the dataset as value labels. ChatGPT said:

Here’s a structured entry for the Pew Research Center – Global Attitudes & Trends, April 2020 U.S. Survey:

📌 Description

The April 2020 Global Attitudes & Trends Survey by Pew Research Center focuses on the attitudes and opinions of U.S. adults. The dataset is weighted to ensure national representativeness and includes topline results, full question wording, and response categories. Methodological details such as sampling design, mode, fieldwork, sample size, margin of error, and representativeness are available in the Methods in Detail report. Some variables were removed for confidentiality or due to administrative errors, and certain question labels (e.g., Q3) are truncated in the dataset but fully available in the questionnaire.

📌 Notes

Population: U.S. adults, April 2020.

Weighting: Use the Weight variable for general population analysis.

Topline Results: Reflect U.S. general population unless otherwise specified.

Questionnaire: Includes wording, response options, and demographic variables with value labels.

Q3 Label: Truncated in dataset; full wording in questionnaire.

Methodology: Covers sample design, languages, fieldwork dates, size, representativeness, and error margins.

Data Adjustments: Some variables removed due to sensitivities or errors.

📌 Tags

Pew Research Center

Global Attitudes & Trends

April 2020 Survey

U.S. Adults

Public Opinion

Social Research

Political Attitudes

Quantitative Survey

Survey Dataset

Methodology

Public Opinion Research

Do you want me to also make a short abstract (2–3 sentences) version of this that’s easy to use in a research catalog or database?

You said: tags, description and notes PEW RESEARCH CENTER - Global Attitudes & Trends

October 2017 Survey of U.S. adults

It is important to read this information before using the 2017 Pew Research Center survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations is:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general population, unless otherwise stated.
The questionnaire includes full question wording as well as answer category values.
Due to length, the question label for Q4g is truncated in the dataset. See the questionnaire for full question wording.
The Methods in Detail provides a methodological overview, invluding sample design, mode, languages, fieldwork dates, sample size, margin of error and representativeness.
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.
All response options, including for demographic variables, are contained within the dataset as value labels.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – Global Attitudes & Trends, October 2017 U.S. Survey:

📌 Description

The October 2017 Global Attitudes & Trends Survey by Pew Research Center examines public opinion among U.S. adults on a range of social, political, and cultural issues. The dataset is weighted to reflect the general population and includes topline results, complete question wording, and response categories. A methodological overview provides details on sampling design, mode, languages, fieldwork, sample size, margin of error, and representativeness. Some variables were removed due to sensitivities or errors, and one question label (Q4g) is truncated in the dataset but fully available in the questionnaire.

📌 Notes

Population: U.S. adults, October 2017.

Weighting: Use the Weight variable for accurate general population analysis.

Topline Results: Represent general population unless otherwise stated.

Questionnaire: Includes full wording and response options, with demographic variables labeled.

Q4g Label: Truncated in dataset; full version available in the questionnaire.

Methodology: Covers survey design, languages, fieldwork period, sample size, representativeness, and error margins.

Data Adjustments: Certain variables removed due to disclosure sensitivities or administrative errors.

📌 Tags

Pew Research Center

Global Attitudes & Trends

October 2017 Survey

U.S. Adults

Public Opinion

Social Attitudes

Political Attitudes

Survey Dataset

Quantitative Research

Methodology

Public Opinion Research

Would you like me to also highlight the main themes/issues covered in the 2017 U.S. survey (e.g., politics, society, democracy), so the description is more topical rather than just technical?

You said: description, tags and notes PEW RESEARCH CENTER 2017 HISPANIC POST ELECTION SURVEY (December 7, 2016 - January 15, 2017)

Interviews were conducted in English and Spanish.

National sample: N=1,001 adults (n=545 U.S. born [including Puerto Rico] and n=456 foreign born)

***Note: The POPWEIGHT variable is the weighting variable intended for use on all questions.

The Pew Research Center uses respondents' self-reported zip code as the basis for geographic variables such as region, state and county.

To protect the privacy of respondents, telephone numbers, zip code, state, county and some open-ended responses and other identifying variables have been removed from the public data file.

Some special technical variables were also removed but are available upon request.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – 2017 Hispanic Post-Election Survey:

📌 Description

The 2017 Hispanic Post-Election Survey by Pew Research Center was conducted from December 7, 2016 to January 15, 2017, interviewing 1,001 Hispanic adults in the U.S., including both U.S.-born (n=545, including Puerto Rico) and foreign-born respondents (n=456). The survey, conducted in both English and Spanish, examines Hispanic political attitudes and experiences following the 2016 U.S. election. Data are weighted using the POPWEIGHT variable to ensure representativeness. To protect respondent privacy, personally identifiable information such as telephone numbers, zip codes, states, counties, and some open-ended responses have been removed from the public dataset. Certain technical variables were also removed but are available upon request.

📌 Notes

Population: Hispanic adults in the U.S. (N=1,001).

Fieldwork Dates: December 7, 2016 – January 15, 2017.

Languages: Interviews conducted in English and Spanish.

Subgroups: 545 U.S.-born (including Puerto Rico) and 456 foreign-born respondents.

Weighting: Use the POPWEIGHT variable for all analyses.

Privacy Protections: Removed variables include phone numbers, zip code, state, county, and identifying open-ended responses.

Technical Variables: Some excluded from the public file but available upon request.

📌 Tags

Pew Research Center

Hispanic Post-Election Survey

2017 Survey

U.S. Hispanics

Latino Public Opinion

Political Attitudes

Immigration and Identity

Public Opinion Research

Bilingual Survey

Post-2016 Election

Quantitative Research

Survey Dataset

Demographic Research

Would you like me to also make a shorter abstract-style version (2–3 sentences) that you could use in a catalog or bibliography?

You said: tags,descrp,notes PEW RESEARCH CENTER 2016 Survey of Self-identified Non-Hispanics with Hispanic Ancestry (November 11, 2015 - February 7, 2016)

Interviews were conducted in English.

National sample: N=401 adults

***Note: The OMNIWEIGHT variable is the weighting variable intended for use on all questions.

The Pew Research Center uses respondents' self-reported zip code as the basis for geographic variables such as region, state and county.

To protect the privacy of respondents, telephone numbers, zip code, state, county and some open-ended responses and other identifying variables have been removed from the public data file.

Some special technical variables were also removed but are available upon request.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – 2016 Survey of Self-Identified Non-Hispanics with Hispanic Ancestry:

📌 Description

The 2016 Survey of Self-Identified Non-Hispanics with Hispanic Ancestry by Pew Research Center was conducted from November 11, 2015 to February 7, 2016. The survey interviewed 401 adults in English across the United States who identify as non-Hispanic but report Hispanic ancestry. The dataset is nationally representative when applying the OMNIWEIGHT variable. To maintain respondent confidentiality, personally identifiable information—including phone numbers, zip codes, state, county, and certain open-ended responses—has been removed from the public data file. Some technical variables were also excluded but may be available upon request.

📌 Notes

Population: Adults in the U.S. who identify as non-Hispanic but have Hispanic ancestry.

Sample Size: N = 401.

Fieldwork Dates: November 11, 2015 – February 7, 2016.

Language: Interviews conducted in English.

Weighting: Use the OMNIWEIGHT variable for all analyses.

Privacy Protections: Removed variables include phone numbers, zip codes, state, county, and identifying open-ended responses.

Technical Variables: Certain ones removed from the public dataset but available upon request.

📌 Tags

Pew Research Center

2016 Survey

Hispanic Ancestry

Non-Hispanic Adults

Identity and Ancestry

Public Opinion Research

Demographic Survey

Quantitative Research

U.S. Population Studies

Survey Dataset

Cultural Identity

Would you like me to also create a shorter “catalog entry” version (2–3 lines) for quick referencing in a database?

You said: description,tags,notes PEW RESEARCH CENTER 2016 NATIONAL SURVEY OF LATINOS (August 23 - September 21, 2016)

Interviews were conducted in English and Spanish.

National sample: N=1,507 adults (n=689 U.S. born [including Puerto Rico] and n=818 foreign born)

***Note: The WEIGHTS variable is the weighting variable intended for use on all questions.

The Pew Research Center uses respondents' self-reported zip code as the basis for geographic variables such as region, state and county.

To protect the privacy of respondents, telephone numbers, zip code, state, county and some open-ended responses and other identifying variables have been removed from the public data file.

Some special technical variables were also removed but are available upon request.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – 2016 National Survey of Latinos:

📌 Description

The 2016 National Survey of Latinos by Pew Research Center was conducted from August 23 to September 21, 2016, interviewing 1,507 Hispanic adults in the United States. The sample includes 689 U.S.-born respondents (including Puerto Rico) and 818 foreign-born respondents. Conducted in both English and Spanish, the survey explores Latino attitudes, identity, and experiences. Data are weighted using the WEIGHTS variable to ensure representativeness. To protect privacy, personally identifiable information such as phone numbers, zip codes, states, counties, and certain open-ended responses has been removed. Some technical variables are also excluded from the public dataset but can be requested.

📌 Notes

Population: Hispanic adults in the U.S. (N=1,507).

Subgroups: 689 U.S.-born (including Puerto Rico) and 818 foreign-born respondents.

Languages: Conducted in English and Spanish.

Fieldwork Dates: August 23 – September 21, 2016.

Weighting: Use the WEIGHTS variable for all analyses.

Privacy Protections: Excluded data include phone numbers, zip codes, state, county, and identifying open-ended responses.

Technical Variables: Some removed but available upon request.

📌 Tags

Pew Research Center

National Survey of Latinos

2016 Survey

Hispanic Public Opinion

Latino Identity

U.S.-Born vs. Foreign-Born

Public Opinion Research

Immigration and Demographics

Bilingual Survey

Quantitative Research

Survey Dataset

Would you like me to also make a 2–3 sentence abstract-style summary of this survey for quick catalog use?

You said: description, tags and notes PEW RESEARCH CENTER 2015 NATIONAL SURVEY OF LATINOS (October 21 - November 30, 2015)

Interviews were conducted in English and Spanish.

National sample: N=1,500 adults (n=705 U.S. born [including Puerto Rico] and n=795 foreign born)

***Note: The WEIGHTS variable is the weighting variable intended for use on all questions.

The Pew Research Center uses respondents' self-reported zip code as the basis for geographic variables such as region, state and county.

To protect the privacy of respondents, telephone numbers, zip code, state, county and some open-ended responses and other identifying variables have been removed from the public data file.

Some special technical variables were also removed, but are available upon request.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – 2015 National Survey of Latinos:

📌 Description

The 2015 National Survey of Latinos by Pew Research Center was conducted from October 21 to November 30, 2015, with a nationally representative sample of 1,500 Hispanic adults in the United States. The survey includes 705 U.S.-born respondents (including Puerto Rico) and 795 foreign-born respondents, with interviews conducted in both English and Spanish. The dataset uses the WEIGHTS variable to ensure representativeness. To protect confidentiality, personally identifiable information such as phone numbers, zip codes, states, counties, and certain open-ended responses has been removed from the public dataset. Some technical variables were also removed but are available upon request.

📌 Notes

Population: Hispanic adults in the U.S. (N=1,500).

Subgroups: 705 U.S.-born (including Puerto Rico) and 795 foreign-born.

Languages: Conducted in English and Spanish.

Fieldwork Dates: October 21 – November 30, 2015.

Weighting: Apply the WEIGHTS variable for all analyses.

Privacy Protections: Excluded variables include phone numbers, zip codes, states, counties, and identifying open-ended responses.

Technical Variables: Some removed but available upon request.

📌 Tags

Pew Research Center

National Survey of Latinos

2015 Survey

Hispanic Public Opinion

Latino Identity

Immigration and Demographics

U.S.-Born vs. Foreign-Born

Bilingual Survey

Public Opinion Research

Quantitative Research

Survey Dataset

Do you want me to also create a compact abstract-style summary (2–3 sentences) for this one, so it’s ready to use in a catalog or database?

You said: description, tags and notes PEW RESEARCH CENTER 2014 NATIONAL SURVEY OF LATINOS (September 11 - October 9, 2014)

Interviews were conducted in English and Spanish.

National sample: N=1,520 adults (n=682 U.S. born [including Puerto Rico] and n=838 foreign born)

***Note: The WEIGHT variable is the weighting variable intended for use on all questions.

The Pew Research Center uses respondents’ self-reported zip code as the basis for geographic variables such as region, state and county.

To protect the privacy of respondents, telephone numbers, zip code, state, county and some open-ended responses and other identifying variables have been removed from the public data file.

Some special technical variables were also removed, but are available upon request.

ChatGPT said:

Here’s a structured entry for the Pew Research Center – 2014 National Survey of Latinos:

📌 Description

The 2014 National Survey of Latinos by Pew Research Center was conducted from September 11 to October 9, 2014, with a nationally representative sample of 1,520 Hispanic adults in the United States. The survey includes 682 U.S.-born respondents (including Puerto Rico) and 838 foreign-born respondents. Interviews were conducted in both English and Spanish. The dataset uses the WEIGHT variable for nationally representative analysis. To protect respondent privacy, information such as phone numbers, zip codes, states, counties, and certain open-ended responses has been removed from the public dataset. Some technical variables have also been excluded but are available upon request.

📌 Notes

Population: Hispanic adults in the U.S. (N=1,520).

Subgroups: 682 U.S.-born (including Puerto Rico) and 838 foreign-born respondents.

Languages: Conducted in English and Spanish.

Fieldwork Dates: September 11 – October 9, 2014.

Weighting: Apply the WEIGHT variable for all analyses.

Privacy Protections: Excluded data include phone numbers, zip codes, states, counties, and identifying open-ended responses.

Technical Variables: Some removed from the dataset but available upon request.

📌 Tags

Pew Research Center

National Survey of Latinos

2014 Survey

Hispanic Public Opinion

Latino Identity

Immigration and Demographics

U.S.-Born vs. Foreign-Born

Bilingual Survey

Public Opinion Research

Quantitative Research

Survey Dataset

Would you like me to also generate a short comparative note showing how this survey fits into the broader annual National Survey of Latinos series (2014–2016, 2017, etc.)?

You said: description,tags and notes PEW RESEARCH CENTER - Global Attitudes Project

Spring 2011 23 Nation Survey

It is important to read this information before using the 2011 Pew Global Attitudes Survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations are:

General population variable name: Weight

Weight by weight for this analysis.
In Pakistan, two surveys were fielded in Spring 2011, one before the raid that killed Osama bin Laden (April 10-26, 2011) and one after the raid (May 8-15, 2011)

For the April Pakistan survey, country=16. Country label is "Pakistan".

For the May Pakistan survey, country=24. Country label is "Pakistan refield".

Weight variable is the same for both surveys (weight by weight for analysis)
In Japan, these was a recontact survey to ask about the effects of the March 2011 tsunami on individual lives.

The variables in this recontact survey were RE_JAP6a, RE_JAP6b, RE_JAP6c, RE_JAP6d, RE_JAP6e, and RE_JAP6g.

Weight by weight for this analysis.
The full topline results are for the general populations, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes Project Question Database on our website: http://www.pewglobal.org/question-search/
The questionnaire includes full question wording as well as answer category values.
The Methods in Detail provides methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error, and representativeness.
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.
ChatGPT said:

Here’s a clean structured version for the Pew Research Center – Global Attitudes Project, Spring 2011 (23-Nation Survey):

📌 Description

The Spring 2011 Pew Global Attitudes Survey collected public opinion data across 23 countries worldwide on a wide range of social, political, and global issues. Conducted in Spring 2011, the dataset includes specialized components, such as pre- and post-raid surveys in Pakistan surrounding the death of Osama bin Laden, and a Japan recontact survey addressing the impact of the March 2011 tsunami. The survey uses the Weight variable for nationally representative analysis. Methodological details vary by country, including sample design, fieldwork dates, languages, and margins of error. To ensure confidentiality, some sensitive or administratively problematic variables were removed.

📌 Notes

Scope: 23 nations included in the 2011 wave.

Pakistan:

Two separate surveys conducted (April 10–26, pre-raid; May 8–15, post-raid).

April survey coded as country=16 (“Pakistan”), May refield coded as country=24 (“Pakistan refield”).

Weighting variable is consistent across both.

Japan:

A recontact survey focused on tsunami impacts (variables: RE_JAP6a–RE_JAP6e, RE_JAP6g).

Weights: Use the Weight variable for all general population analyses.

Topline results: Represent general populations unless specified; full toplines and trends available via Pew’s Question Database.

Questionnaire: Includes full wording and response values.

Methods in Detail: Provides country-specific methodological overviews (sample design, mode, languages, dates, representativeness).

Privacy/Edits: Some variables removed for disclosure sensitivity or due to administrative errors.

📌 Tags

Pew Research Center

Global Attitudes Project

Spring 2011 Survey

23-Nation Survey

Public Opinion Research

International Survey

Pakistan Pre- and Post-Osama Bin Laden Raid

Japan Tsunami Recontact Survey

Comparative Politics

Cross-National Public Opinion

Survey Methodology

Social and Political Attitudes

Would you like me to also build a consistent template for all Pew datasets you’ve been working on (with the same structure for description, notes, and tags), so everything looks uniform across years and projects?

You said: tags, description and notes PEW RESEARCH CENTER - Global Attitudes Project Spring 2006 15 Nation Survey

It is important to read this information before using the 2006 Pew Global Attitudes Survey dataset because there was some oversampling done of European Muslim populations for which a special weight and filter need to be used to get accurate results.

This survey includes data for general populations and European Muslim populations.
There are specific weights that must be used for the general populations and the European Muslim populations. A filter must also be used when seeking to use the European Muslim oversamples.

a. The weight that must be used when looking to analyze the attitudes and opinions of general populations* is:
```
General population variable name:  Weight
```
*General population data from Great Britain, France, Germany, and Spain include Muslim oversamples, but is weighted to be representative of the general population.

b. The filter and weight that must be used when seeking to analyze the attitudes and opinions of European Muslims are:
```
European Muslim Filter variable name:  Muslim
European Muslim Weight variable name:  Allmuslimswt
```
The full topline results for the general populations as well as the European Muslim populations are included in the topline provided with the 2006 dataset.
The topline also provides full question wording for all questions included in the survey.
The data in the SPSS dataset for the 2006 Pew Global Attitudes Survey is NOT in the same order as the data in the topline for the 2006 survey.
However, the question numbers correspond in both the topline and the SPSS dataset.

Countries Surveyed:

United States May 2-14, 2006 N=1001

Great Britain April 4-26, 2006 N=902 (includes N=412 Muslim oversample)

France April 5-19, 2006 N=905 (includes N=400 Muslim oversample)

Germany April 5-27, 2006 N=902 (includes N=413 Muslim oversample)

Spain April 7- May 4, 2006 N=979 (includes N=402 Muslim oversample)

Russia April 6-16, 2006 N=1000

Egypt April 5-27, 2006 N=1000

Turkey April 1-25, 2006 N=1013

Indonesia April 8-30, 2006 N=1022

India** April 15- May 3, 2006 N=2029

Pakistan** April 7-28, 2006 N=1277

Jordan April 5-27, 2006 N=1000

Nigeria*** April 20-29, 2006 N=1000

China** April 7-18, 2006 N=2180

Japan March 31- April 21, 2006 N=500

**Note: Samples in China, India, and Pakistan were disproportionately or exclusively urban. See Methodological Appendix of any of the 2006 reports for details.

***NOTE: The Nigerian sample includes 514 Christians and 468 Muslims. The general population sample is weighted to reflect the demographic characteristics of the population. Views of Christian and Muslim Nigerians as well as Nigerians overall are reported in the 2006 Topline and can be found by using the ReligionNig variable when analyzing the data. Variable Name: ReligionNIG Variable Label: Religion ChatGPT said:

Here’s a structured version for the Pew Research Center – Global Attitudes Project, Spring 2006 (15-Nation Survey):

📌 Description

The Spring 2006 Pew Global Attitudes Survey collected public opinion data across 15 nations, including oversamples of European Muslim populations in Great Britain, France, Germany, and Spain. This dataset allows for comparative analysis of attitudes among both general populations and Muslim minorities in Europe, with specialized weights and filters provided. The survey covers a wide range of international, political, and social issues. Samples in some countries (China, India, Pakistan) were disproportionately urban, and Nigeria’s sample includes both Christians and Muslims. Methodological appendices provide details on sample design, weighting, and representativeness.

📌 Notes

Weights & Filters:

General populations: Use the variable Weight (Muslim oversamples in Europe are weighted into the general population).

European Muslims: Use the filter Muslim and weight Allmuslimswt.

Topline results: Include both general populations and European Muslim oversamples, with full question wording.

Dataset order: Question order in the SPSS dataset differs from the topline, but question numbers correspond.

Country coverage (N, dates, notes):

United States: N=1001 (May 2–14, 2006)

Great Britain: N=902 (includes 412 Muslim oversample)

France: N=905 (includes 400 Muslim oversample)

Germany: N=902 (includes 413 Muslim oversample)

Spain: N=979 (includes 402 Muslim oversample)

Russia: N=1000

Egypt: N=1000

Turkey: N=1013

Indonesia: N=1022

India: N=2029 (urban-focused)

Pakistan: N=1277 (urban-focused)

Jordan: N=1000

Nigeria: N=1000 (514 Christians, 468 Muslims; weighted general sample. Use variable ReligionNIG for subgroup analysis)

China: N=2180 (urban-focused)

Japan: N=500

Special notes:

Nigeria’s sample weighted to reflect Christian/Muslim population.

Oversamples of Muslims in Europe must be properly filtered and weighted.

Some countries limited to urban or disproportionately urban samples (China, India, Pakistan).

📌 Tags

Pew Research Center

Global Attitudes Project

Spring 2006 Survey

15-Nation Survey

Public Opinion Research

International Survey

European Muslims Oversample

Comparative Politics

Religion and Public Opinion

Cross-National Attitudes

Survey Methodology

Urban Samples

Nigeria Religion Subgroups

Would you like me to also standardize these outputs into a consistent table format (columns: Dataset Name | Description | Notes | Tags) so you can directly compare datasets across years?

You said: description, tags , title and notes ABOUT THIS SURVEY Results for the nine-nation survey are based on telephone interviews conducted under the direction of Princeton Survey Research Associates among a nationwide, representative sample of 1,032 adults, 18 years of age or older, in the United States, 962 in Britain, 485 in France, 524 in Germany, 500 in Italy, and 503 in Spain. In Russia, 501 telephone interviews were conducted in urban areas of 500,000 or greater. In Poland, the interviews were conducted face-to-face in urban areas with 500 adults. In Turkey, the nationwide survey was conducted face-to-face among 513 adults. The fieldwork was conducted by NOP in Britain between March 14-16, 2003, by IFOP in France between March 13-14, 2003, by EMNID in Germany between March 14-15, 2003, by Pragma in Italy between March 12-14, 2003, by Romir in Russia between March 12-14, 2003, by Democopia in Spain between March 12-17, 2003, by Demoskop in Poland between March 10-14, 2003, by PIAR in Turkey between March 10-17, 2003, and by Princeton Data Source in the U.S. between March 13-16, 2003. For results based on the total sample in the United States and Britain, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus 3.5 percentage points; in each of the other seven countries (France, Germany, Italy, Spain, Poland, Russia and Turkey), sampling error is plus or minus 5 percentage points. 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. ChatGPT said:

Here’s a structured version of your 2003 Pew Research Center – Nine-Nation Survey entry:

📌 Title

Pew Research Center – Nine-Nation Survey (March 2003)

📌 Description

The Pew Research Center conducted a nine-nation public opinion survey in March 2003, capturing attitudes across the United States, Britain, France, Germany, Italy, Spain, Russia, Poland, and Turkey. The survey was fielded using telephone interviews in most countries and face-to-face interviews in Poland and Turkey, with representative national or urban samples. It explored international views during a critical geopolitical moment, with margins of error ranging from ±3.5 to ±5 percentage points depending on country.

📌 Notes

Methodology:

Telephone interviews: U.S. (N=1,032), Britain (N=962), France (N=485), Germany (N=524), Italy (N=500), Spain (N=503).

Urban-only samples: Russia (N=501, cities >500,000), Poland (N=500, face-to-face in urban areas).

Nationwide face-to-face: Turkey (N=513).

Fieldwork organizations:

U.S. – Princeton Data Source (Mar 13–16, 2003)

Britain – NOP (Mar 14–16, 2003)

France – IFOP (Mar 13–14, 2003)

Germany – EMNID (Mar 14–15, 2003)

Italy – Pragma (Mar 12–14, 2003)

Spain – Democopia (Mar 12–17, 2003)

Russia – Romir (Mar 12–14, 2003)

Poland – Demoskop (Mar 10–14, 2003)

Turkey – PIAR (Mar 10–17, 2003)

Sampling error:

±3.5 percentage points (U.S. and Britain).

±5 percentage points (France, Germany, Italy, Spain, Poland, Russia, Turkey).

Limitations:

Urban-only coverage in Russia and Poland.

Potential bias from question wording and survey implementation challenges.

📌 Tags

Pew Research Center

Global Attitudes Project

2003 Nine-Nation Survey

Public Opinion Research

International Survey

Cross-National Attitudes

Comparative Politics

Survey Methodology

Sampling Error

Urban vs National Samples

Do you want me to also standardize all of these surveys (2003–2017, etc.) into one comparative table with columns for Title | Description | Notes | Tags so you can use them as a catalog/reference set?

You said: description, tags and notes : PEW RESEARCH CENTER - Global Attitudes Project Fall 2009 14 Nation Survey

It is important to read this information before using the Fall 2009 Pew Global Attitudes Survey dataset.

For the general population:

a. The weight that must be used when looking to analyze the attitudes and opinions of the general populations are:
```
General population variable name:  Weight
```

In Germany, there was an oversample of east Germans bringing the total number of east German respondents to 800.

To analyze east Germans in Germany:

Filter for east Germans: select if Q74Ger = 2.

Weight by weight for this analysis.

The topline provides results for the general populations surveyed.
For Germany, the topline provides results for the general population as well as for east and west Germans for 2010 as well as 1991.
The topline also provides full question wording for all questions included in the survey as well as footnotes concerning variations in question wording for trend data from previous surveys.

ChatGPT said:

Here’s a clean structured entry for your Fall 2009 Pew Global Attitudes Project – 14 Nation Survey:

📌 Description

The Fall 2009 Pew Global Attitudes Survey covered 14 nations, measuring public opinion on key global issues and attitudes. The dataset is weighted for analysis of general populations, with a special oversample in Germany (East Germans, N=800). The topline results include national-level findings and, for Germany, comparisons of East vs. West Germans across time (2009, 2010, and 1991). The questionnaire provides complete question wording, answer categories, and methodological footnotes for trend comparisons.

📌 Notes

Weighting:

General population analysis requires the Weight variable.

East German analysis: filter respondents where Q74Ger = 2 and apply weight.

Germany oversample: 800 East German respondents included.

Topline results:

General population data for all 14 nations.

Germany data split for East and West Germans (with trend comparisons to 1991 & 2010).

Questionnaire: Includes full question wording, response categories, and footnotes noting variations across time.

Use caution: Trend analysis may be affected by wording differences across surveys.

📌 Tags

Pew Research Center

Global Attitudes Project

Fall 2009 Survey

14 Nation Survey

Comparative Public Opinion

East Germany Oversample

West vs East Germany

International Survey Data

Weighting & Methodology

Global Trends

Do you want me to also add the list of all 14 nations surveyed in 2009 into the notes section (if you plan to cross-compare with other Pew waves)?

You said: description, tags and notes PEW RESEARCH CENTER - Global Attitudes & Trends

Spring 2014 44-Nation Survey

It is important to read this information before using the Pew Research Center's Spring 2014 Global Attitudes survey dataset.

General population weight:

The weight that must be used when analyzing the attitudes and opinions of the general populations are:

General population variable name: Weight

Weight by weight for this analysis.
The full topline results are for the general populations, unless otherwise stated. To access topline trends, please use the Pew Global Attitudes & Trends Question Database on our website: http://www.pewglobal.org/question-search/
The topline results exclude data for questions where there are fewer than 100 observations for a particular country. This data is, however, included in the full dataset.
The sample in Ukraine includes all areas available for surveying in 2014, including the oblasts of Luhans'k, Donets'k, as well as Crimea.
The questionnaire includes full question wording as well as answer category values.
Methodological overviews of each survey country, including sample design, mode, languages, fieldwork dates, sample size, margin of error, and representativeness are available on our methods website: http://www.pewglobal.org/international-survey-methodology/?year_select=2014
Certain variables have been eliminated from the dataset either because of disclosure sensitivities or because of administrative errors.

ChatGPT said:

Here’s a structured version for the Pew Research Center – Spring 2014 Global Attitudes & Trends 44-Nation Survey:

📌 Description

The Spring 2014 Pew Global Attitudes & Trends Survey spans 44 nations worldwide, examining public opinion on global issues, international relations, and social trends. The dataset is weighted for representative analysis of general populations, with methodological overviews available for each country. The survey includes complete question wording, answer categories, and detailed topline results (with some exclusions for small sample sizes). Notably, the Ukraine sample covers all regions available for surveying in 2014, including Luhans’k, Donets’k, and Crimea.

📌 Notes

Weighting: Use the Weight variable for all general population analyses.

Topline results:

Represent general populations unless otherwise stated.

Exclude results with fewer than 100 observations per country (these cases remain in the dataset).

Ukraine coverage: Includes Luhans’k, Donets’k, and Crimea.

Questionnaire: Contains full wording and answer category values.

Methods: Full methodological details by country (sample design, languages, fieldwork dates, sample size, margin of error) available at Pew’s methodology site.

Data limitations: Certain variables have been removed due to disclosure sensitivities or administrative errors.

📌 Tags

Pew Research Center

Global Attitudes & Trends

Spring 2014 Survey

44-Nation Survey

International Public Opinion

Cross-National Research

Global Issues

Ukraine (Crimea, Donets’k, Luhans’k)

Survey Methodology

Comparative Data

Do you want me to also prepare a country list (all 44 nations surveyed in 2014) for your notes section, like we did with earlier surveys?

You said: tags, descrption and notes PEW RESEARCH CENTER Wave 73 American Trends Panel Dates: August 31 to September 7, 2020 Mode: Web Sample: Subsample Language: English and Spanish N=9,220

NOTES

This release includes survey data that are relevant to the "American News Pathways" project only.

PATHWAYS NOV 2019 (ATP W57) VARIABLES

Some variables from the first Pathways wave (W57) have been added to this dataset so that crosstabs for those key variables can be analyzed with this wave. Variables included: - GROUP_TRUST_a_W57 - NEWS_MOST_W57 - TALKPOL_W57 - FOLELECT_W57

Created variables include: - CR_PARTYNEWSUSE_W73 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W73 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s a structured version for the Pew Research Center – Wave 73 American Trends Panel (ATP):

📌 Description

The Wave 73 American Trends Panel (ATP) survey, conducted from August 31 to September 7, 2020, collected responses from 9,220 U.S. adults in English and Spanish via the web. This wave focused primarily on data relevant to the American News Pathways project, which studies media consumption, trust, and political information environments. It also incorporates key variables from the earlier Wave 57 (Nov 2019 Pathways) to allow for cross-wave analysis.

📌 Notes

Project relevance: This release contains variables tied specifically to the American News Pathways project.

Wave 57 integration: Key variables from the November 2019 Pathways survey (ATP W57) are included to enable crosstab analysis with Wave 73.

Added variables: GROUP_TRUST_a_W57, NEWS_MOST_W57, TALKPOL_W57, FOLELECT_W57.

Created variables: CR_PARTYNEWSUSE_W73, CR_NEWS_INFLU_W57, CR_DIG_SAV_W57, CR_MAINSOPOL_GROUPS_W57, CR_KNOWLEDGE_INDEX_W57.

Weighting: Use WEIGHT_W73 for all analyses. All Pew Research Center reports based on this dataset are weighted accordingly.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 73 (2020)

American News Pathways Project

Media Consumption

Political Polarization

News Trust

Survey Research

Cross-Wave Analysis

Public Opinion

Do you want me to also generate a shorter “summary-style” version (like a metadata entry) for quick cataloging alongside the long structured one?

You said: descr, notes and tags PEW RESEARCH CENTER Wave 76 American Trends Panel Dates: Oct. 6 - Oct. 12, 2020 Mode: Web Sample: Subsample Language: English and Spanish N=10,059

NOTES

This release includes survey data that are relevant to the "American News Pathways" project only.

Tablet households were set to 2 "No, do not plan to use" for items C (Social Media) and D (News website or app) for question PRESRESULTPLAT.

PREVIOUS PATHWAYS VARIABLES

Some variables from the previous Pathways waves have been added to this dataset so that crosstabs for those key variables can be analyzed with this wave. Variables included: - GROUP_TRUST_a_W57 - NEWS_MOST_W57 - TALKPOL_W57 - FOLELECT_W57 - COVIDNEWSRELY_W66

Created variables include: - CR_PARTYNEWSUSE_W73 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W76 is the weight for the sample. Data for most Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – Wave 76 American Trends Panel (ATP):

📌 Description

The Wave 76 American Trends Panel (ATP) survey was conducted October 6–12, 2020, with a sample of 10,059 U.S. adults via web in English and Spanish. This release focuses on data related to the American News Pathways project, examining media use, trust, and political information environments. The dataset also integrates variables from earlier Pathways waves to support cross-wave analyses.

📌 Notes

Project focus: Contains data specifically tied to the American News Pathways project.

Tablet households adjustment: For question PRESRESULTPLAT, tablet households were coded as “No, do not plan to use” for items C (Social Media) and D (News website or app).

Pathways variables included: Key variables from prior waves were added for crosstab analysis, including:

From W57: GROUP_TRUST_a_W57, NEWS_MOST_W57, TALKPOL_W57, FOLELECT_W57.

From W66: COVIDNEWSRELY_W66.

Created variables: CR_PARTYNEWSUSE_W73, CR_NEWS_INFLU_W57, CR_DIG_SAV_W57, CR_MAINSOPOL_GROUPS_W57, CR_KNOWLEDGE_INDEX_W57.

Weighting: Analyses must use WEIGHT_W76, applied in Pew Research Center reports for representativeness.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 76 (2020)

American News Pathways Project

Media Consumption

Political Polarization

News Trust

Cross-Wave Analysis

Public Opinion

Survey Research

Do you want me to also combine Wave 73 & 76 entries into a unified “Pathways dataset overview” for easier reference, or keep them as separate records?

You said: descrption , tags and notes PEW RESEARCH CENTER Wave 79 American Trends Panel Dates: Nov. 18 - Nov. 29, 2020 Mode: Web Sample: Full panel Language: English and Spanish N=12,648

NOTES

This release includes survey data that are relevant to the "American News Pathways" project only.

PREVIOUS PATHWAYS VARIABLES

Created variables include: - CR_PARTYNEWSUSE_W73 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W79 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – Wave 79 American Trends Panel (ATP):

📌 Description

The Wave 79 American Trends Panel (ATP) survey was conducted November 18–29, 2020, with a full panel sample of 12,648 U.S. adults via web in English and Spanish. This release contains data specifically for the American News Pathways project, focusing on media use, trust, and political information environments during late 2020. It also integrates variables from earlier Pathways waves for expanded cross-wave analysis.

📌 Notes

Project focus: Dataset is limited to American News Pathways project content.

Pathways variables included: Key variables from prior waves for consistency and cross-tabulation:

From W57: GROUP_TRUST_a_W57, NEWS_MOST_W57, TALKPOL_W57, FOLELECT_W57.

From W66: COVIDNEWSRELY_W66.

Created variables: CR_PARTYNEWSUSE_W73, CR_NEWS_INFLU_W57, CR_DIG_SAV_W57, CR_MAINSOPOL_GROUPS_W57, CR_KNOWLEDGE_INDEX_W57.

Weighting: Analyses must use WEIGHT_W79, the official weight for representativeness in Pew reports.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 79 (2020)

American News Pathways Project

Media Trust

Political Polarization

Public Opinion

Cross-Wave Analysis

News Consumption

Survey Research

Would you like me to merge Waves 73, 76, and 79 into one consolidated “American News Pathways ATP Dataset Overview”, so you have a single reference summary across these three waves?

You said: tags, descrption and notes PEW RESEARCH CENTER American Trends Panel Pathways to Election News Project (Wave 57)
Dates: October 29-November 11, 2019 Mode: Web Sample: Full panel Language: English and Spanish N=12,043

NOTES

This release includes survey data that are relevant to the "Pathways to Election News" project only.

This dataset contains coded open-end responses for questions MAINSOPOL_OE_W57. Coding was done after data collection was completed. The first source listed was used for purposes of coding if more than one source was provided. Non-substantive open-end responses were coded as refusals.

CREATED VARIABLES

CR_SOURCESUM_[Source] and CR_AGGSUM - 39 variables Summary variables are included for all news sources asked about in the survey. These variables combine responses to questions SOURCEHEARD, SOURCETRUST and SOURCEDISTRUST. Respondents are coded into one of four categories for each source: 1 = Trust 2 = Distrust 3 = Neither 4 = Have not heard of

CR_MAINSOPOL_GROUPS This variable was created using the coded MAINSOPOL_OE. Respondents are coded into 9 categories: 1 = ABC 2 = CBS 3 = CNN 4 = Fox News 5 = MSNBC 6 = NBC 7 = NPR 8 = Social media sites 9 = The New York Times

CR_PARTYNEWSUSE This variable was created using SOURCEUSE and PARTYLN. Respondents are coded into 7 categories: 1 = Rep: Only outlets with right-leaning audiences 2 = Rep: Outlets with right & other audiences 3 = Rep: Only outlets w/out right audiences 4 = Dem: Only outlets with left-leaning audiences 5 = Dem: Outlets with left & other audiences 6 = Dem: Only outlets w/out left audiences 7 = Either party: None of these outlets

CR_NEWS_INFLU This variable was created using FOLELECT and LEADPOL. Respondents are coded into 3 categories: 1 = Election news influencers 2 = Election news bystanders 3 = Those checked out of election news

CR_DIG_SAV This variable was created using INTFREQ and DIGCONF. Respondents are coded into 3 categories: 1 = Digitally savvy 2 = Digital dabblers 3 = Digitally disengaged

CR_PARTYSUMIDEO This variable was created using F_IDEO and F_PARTYSUM_FINAL. Respondents are coded into 4 categories: 1 = Conservative Rep/Lean 2 = Moderate/Loberal Rep/Lean 3 = Moderate/Conservative Dem/Lean 4 = Liberal Dem/Lean

WEIGHTS

WEIGHT_W57 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – American Trends Panel (ATP) Wave 57: Pathways to Election News Project

📌 Description

The Wave 57 American Trends Panel (ATP) survey, conducted October 29–November 11, 2019, included 12,043 U.S. adults via web in English and Spanish. This dataset focuses exclusively on the Pathways to Election News Project, examining where Americans turn for political news, their trust or distrust of outlets, digital savviness, and partisan media use. It provides both original survey responses and post-field coded open-ended responses, making it a key resource for studying media consumption patterns before the 2020 election.

📌 Notes

Project focus: Dataset is limited to the Pathways to Election News Project.

Coded open-ended responses:

Question MAINSOPOL_OE_W57 coded after collection; only the first source listed was used.

Non-substantive responses were coded as refusals.

Created variables:

CR_SOURCESUM_[Source] & CR_AGGSUM – 39 summary variables combining trust, distrust, and exposure measures.

CR_MAINSOPOL_GROUPS – Categorizes main political news sources (ABC, CBS, CNN, Fox, MSNBC, NBC, NPR, social media, NYT).

CR_PARTYNEWSUSE – Classifies respondents’ media use by partisan leanings.

CR_NEWS_INFLU – Distinguishes between election news influencers, bystanders, and disengaged.

CR_DIG_SAV – Groups respondents by digital engagement (savvy, dabblers, disengaged).

CR_PARTYSUMIDEO – Combines ideology and party affiliation into four categories (e.g., Conservative Rep/Lean, Liberal Dem/Lean).

Weights: Use WEIGHT_W57 for analysis; all Pew reports rely on this weight.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 57 (2019)

Pathways to Election News Project

Media Trust & Distrust

News Sources

Partisan Media Use

Digital Savviness

Political Polarization

Public Opinion

Election News Consumption

Would you like me to compile Waves 57, 73, 76, and 79 into one “Pathways Project Master Summary” so you have a single integrated overview of all Pathways-related datasets?

You said: descption , tags and notes PEW RESEARCH CENTER Wave 63.5 American Trends Panel Dates: March 10-16, 2020 Mode: Web Sample: Full panel Language: English and Spanish N=8,914

NOTES

This release includes survey data that are relevant to the "Pathways to Election News" project only.

Coded responses for open-ended question COVIDMISINFO2 will be released at a later date.

PATHWAYS NOV 2019 (ATP W57) VARIABLES

Created variables include: - CR_PARTYNEWSUSE_W57 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W63.5 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – American Trends Panel (ATP) Wave 63.5: Pathways to Election News Project

📌 Description

The Wave 63.5 American Trends Panel (ATP) survey was conducted March 10–16, 2020, among 8,914 U.S. adults via web, in English and Spanish. This dataset is part of the Pathways to Election News Project, focusing on political news consumption, trust in news sources, and media influence during the early months of the COVID-19 pandemic. It also links key variables from Wave 57 (2019) for longitudinal and cross-tab analysis.

📌 Notes

Project scope: Dataset includes variables relevant only to the Pathways to Election News Project.

COVID misinformation: Coded responses to the open-ended question COVIDMISINFO2 will be released later.

Linked Pathways variables from W57:

GROUP_TRUST_a_W57

NEWS_MOST_W57

TALKPOL_W57

FOLELECT_W57

Created variables:

CR_PARTYNEWSUSE_W57 – Partisan media use categories.

CR_NEWS_INFLU_W57 – News influencers, bystanders, disengaged.

CR_DIG_SAV_W57 – Digital savviness index.

CR_MAINSOPOL_GROUPS_W57 – Main political news source categories.

CR_KNOWLEDGE_INDEX_W57 – Political knowledge index.

Weights: Use WEIGHT_W63.5 for analysis; all Pew reports rely on this weight.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 63.5 (2020)

Pathways to Election News Project

Media Trust & Distrust

News Consumption

Partisan Media Use

Digital Savviness

Political Polarization

COVID-19 Misinformation

Public Opinion

Would you like me to combine Waves 57, 63.5, 73, 76, and 79 into a single comparative “Pathways Project Dataset Guide” so you can see continuity and differences across waves?

You said: tags description and notes PEW RESEARCH CENTER Wave 68 American Trends Panel Dates: June 4-June 10, 2020 Mode: Web Sample: Subsample Language: English and Spanish N=9,654

NOTESa

This release includes survey data that are relevant to the "Pathways to Election News" project only.

Upon completion of field, Ipsos discovered that text edits for quesitons FLOYDFOL, FLOYDSM, NEWSHEARD were seen by only a portion of the sample. When the equivalent text edits were made for the Spanish script, the English text edits were accidentally overwritten with the prior English text. The result of this error was that 503 respondents saw the correct version while 9,151 saw the incorrect version. Variable FLAG_W68 in the dataset indicates affected respondents. Footnotes were added to the questionnaire for FLOYDFOL and FLOYDSM. There was no discernible effect on responses between the two versions for questions FLOYDFOL and FLOYDSM. Responses to NEWSHEARD_B differed too much between the two versions and thus was deemed unusable. NEWSHEARD items C, H and K were also deemed to have been indirectly affected and were also deemed unreliable. These four items were removed from the dataset.

CREATED VARIABLES AND PREVIOUS PATHWAYS' WAVES VARIABLES INCLUDED IN THIS DATASET

Some variables from the first Pathways wave (W57) and the April pathways wave (W66) have been added to this dataset so that crosstabs for those key variables can be analyzed with this wave. Variables included: - GROUP_TRUST_a_W57 - NEWS_MOST_W57 - TALKPOL_W57 - FOLELECT_W57 - COVIDNEWSRELY_W66

Created variables include: - CR_PARTYNEWSUSE_W57 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W68 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – American Trends Panel (ATP) Wave 68: Pathways to Election News Project

📌 Description

The Wave 68 American Trends Panel (ATP) survey was conducted June 4–10, 2020, among 9,654 U.S. adults via web, in English and Spanish. This dataset is part of the Pathways to Election News Project, focusing on media trust, political news habits, and reactions to major events, including the George Floyd protests. The survey integrates key variables from earlier Pathways waves for cross-wave comparisons.

📌 Notes

Project scope: Dataset includes variables relevant only to the Pathways to Election News Project.

Survey script error:

Text edits for questions FLOYDFOL, FLOYDSM, and NEWSHEARD were not consistently applied.

503 respondents saw the corrected text, while 9,151 saw the incorrect version.

Variable FLAG_W68 identifies affected respondents.

Analysis notes:

FLOYDFOL and FLOYDSM: No discernible differences between versions.

NEWSHEARD_B, C, H, K: Responses differed significantly → deemed unusable/unreliable and removed.

Carried-over Pathways variables:

GROUP_TRUST_a_W57

NEWS_MOST_W57

TALKPOL_W57

FOLELECT_W57

COVIDNEWSRELY_W66

Created variables:

CR_PARTYNEWSUSE_W57 – Partisan media use categories.

CR_NEWS_INFLU_W57 – News influencers, bystanders, disengaged.

CR_DIG_SAV_W57 – Digital savviness index.

CR_MAINSOPOL_GROUPS_W57 – Main political news source categories.

CR_KNOWLEDGE_INDEX_W57 – Political knowledge index.

Weights: Use WEIGHT_W68 for analysis; standard across Pew reports.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 68 (2020)

Pathways to Election News Project

News Consumption

Media Trust & Distrust

Partisan Media Use

Digital Savviness

Political Knowledge

COVID-19 News Reliance

George Floyd Protests

Public Opinion Research

Survey Methodology

Would you like me to also map out a timeline of Waves 57, 63.5, 66, 68, 73, 76, and 79 (2019–2020) showing how variables and key focus areas evolved across the Pathways Project? That way you’d have a quick comparative reference.

You said: description, tags and notes PEW RESEARCH CENTER Wave 62 American Trends Panel Dates: February 18 - March 2, 2020 Mode: Web

Sample: Subsample Language: English and Spanish N=10,300

NOTES

This release includes survey data that are relevant to the "Pathways to Election News" project only.

PATHWAYS NOV 2019 (ATP W57) VARIABLES

Created variables include: - CR_PARTYNEWSUSE_W57 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W62 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for Pew Research Center – American Trends Panel (ATP) Wave 62: Pathways to Election News Project

📌 Description

The Wave 62 American Trends Panel (ATP) survey was conducted February 18 – March 2, 2020, with a subsample of 10,300 U.S. adults, via web, in both English and Spanish. This dataset is part of the Pathways to Election News Project, focusing on political news consumption, trust in news sources, and election-related media engagement. It integrates variables from the November 2019 Pathways baseline (Wave 57) for cross-wave comparability.

📌 Notes

Project scope: Dataset contains only variables relevant to the Pathways to Election News Project.

Carried-over Pathways variables from Wave 57:

GROUP_TRUST_a_W57 – Trust in news groups.

NEWS_MOST_W57 – Most-used news source.

TALKPOL_W57 – Political discussion frequency.

FOLELECT_W57 – Following election news.

Created variables:

CR_PARTYNEWSUSE_W57 – Partisan media use categories.

CR_NEWS_INFLU_W57 – News influencers, bystanders, disengaged.

CR_DIG_SAV_W57 – Digital savviness index.

CR_MAINSOPOL_GROUPS_W57 – Main political news source categories.

CR_KNOWLEDGE_INDEX_W57 – Political knowledge index.

Weights: Analysis requires WEIGHT_W62, the designated sample weight for this dataset.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 62 (2020)

Pathways to Election News Project

News Consumption

Media Trust & Distrust

Election News

Partisan Media Use

Digital Savviness

Political Knowledge

Public Opinion Survey

U.S. Adults

Would you like me to also create a side-by-side comparison of Waves 57, 62, 63.5, and 68 (all before the 2020 election summer) so you can see how each survey built on the Pathways project?

You said: description, notes, tags PEW RESEARCH CENTER Wave 66 American Trends Panel Dates: April 20-April 26, 2020 Mode: Web

Sample: Subsample Language: English and Spanish N=10,139

NOTES

This release includes survey data that are relevant to the "Pathways to Election News" project only.

PATHWAYS NOV 2019 (ATP W57) VARIABLES

Created variables include: - CR_PARTYNEWSUSE_W57 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W66 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured summary for Pew Research Center – American Trends Panel (ATP) Wave 66: Pathways to Election News Project

📌 Description

The Wave 66 American Trends Panel (ATP) survey was conducted April 20–26, 2020, with a subsample of 10,139 U.S. adults, administered online (web) in both English and Spanish. This dataset is part of the Pathways to Election News Project, focusing on how Americans consume and trust political news during the 2020 election cycle. It includes both original measures and carried-over variables from Wave 57 (Nov. 2019) to enable longitudinal analysis of media trust, political engagement, and election news use.

📌 Notes

Project scope: Dataset contains variables relevant only to the Pathways to Election News Project.

Carried-over Pathways variables from Wave 57:

GROUP_TRUST_a_W57 – Trust in news groups.

NEWS_MOST_W57 – Most-used news source.

TALKPOL_W57 – Frequency of political conversations.

FOLELECT_W57 – Following election news.

Created variables:

CR_PARTYNEWSUSE_W57 – Partisan media use classification.

CR_NEWS_INFLU_W57 – Election news influencers vs. bystanders.

CR_DIG_SAV_W57 – Digital engagement/savviness index.

CR_MAINSOPOL_GROUPS_W57 – Main political news sources.

CR_KNOWLEDGE_INDEX_W57 – Political knowledge index.

Weights: All analyses require WEIGHT_W66, the designated sample weight.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 66 (April 2020)

Pathways to Election News Project

News Consumption

Media Trust & Distrust

Election News 2020

Partisan Media Use

Political Knowledge

Digital Savviness

Public Opinion Survey

U.S. Adults

Do you want me to prepare a clean consolidated template so you can just drop in details (wave number, dates, N, etc.) and it will auto-structure into Description, Notes, and Tags like this for every dataset? That way you won’t have to repeat formatting.

You said: description, tags and notes PEW RESEARCH CENTER Wave 66 American Trends Panel Dates: April 20-April 26, 2020 Mode: Web

Sample: Subsample Language: English and Spanish N=10,139

NOTES

This release includes survey data that are relevant to the "Pathways to Election News" project only.

PATHWAYS NOV 2019 (ATP W57) VARIABLES

Created variables include: - CR_PARTYNEWSUSE_W57 - CR_NEWS_INFLU_W57 - CR_DIG_SAV_W57 - CR_MAINSOPOL_GROUPS_W57 - CR_KNOWLEDGE_INDEX_W57

WEIGHTS

WEIGHT_W66 is the weight for the sample. Data for all Pew Research Center reports are analyzed using this weight.

ChatGPT said:

Here’s the structured entry for ATP Wave 66 with description, notes, and tags:

📌 Description

The Wave 66 American Trends Panel (ATP) was conducted April 20–26, 2020, with a subsample of 10,139 U.S. adults. The survey was administered online (web) in both English and Spanish. This dataset is part of the Pathways to Election News Project, focusing on how Americans consume, trust, and engage with political and election news in 2020. It includes original measures plus variables carried over from Wave 57 (Nov. 2019) to allow for longitudinal comparisons.

📌 Notes

Project scope: Data include only variables relevant to the Pathways to Election News Project.

Carried-over variables from Wave 57 (Nov. 2019):

GROUP_TRUST_a_W57 – Trust in news sources/groups

NEWS_MOST_W57 – Most-used news source

TALKPOL_W57 – Political discussion frequency

FOLELECT_W57 – Following election news

Created variables:

CR_PARTYNEWSUSE_W57 – Partisan media consumption categories

CR_NEWS_INFLU_W57 – Election news influencers vs. bystanders

CR_DIG_SAV_W57 – Digital savviness categories

CR_MAINSOPOL_GROUPS_W57 – Main sources of political news

CR_KNOWLEDGE_INDEX_W57 – Political knowledge index

Weights: All analyses should apply WEIGHT_W66 to ensure representativeness.

📌 Tags

Pew Research Center

American Trends Panel (ATP)

Wave 66 (April 2020)

Pathways to Election News Project

Media Trust & Distrust

Election News 2020

News Consumption

Political Knowledge

Partisan Media Use

Digital Savviness

Public Opinion Survey

U.S. Adults

Do you want me to go back and reformat all the earlier waves (57, 62, 63.5, 68, 73, 76, 79) in this same standardized structure so you’ll have a clean, uniform dataset catalog?

You said: description, tags and notes PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS OCTOBER POLITICAL SURVEY Oct 9-13, 2013 N=1,504

This dataset includes cell phone interviews conducted using an RDD sample of cell phone numbers. Cell phone interviews include households that are cell-only as well as those that also have a landline phone. The dataset contains several weight variables.

WEIGHT is the weight for the combined sample of all landline and cell phone interviews. Data for all Pew Research Center reports are analyzed using this weight.

Two other weights can be used to compare the combined sample with the landline sample by itself and with the landline sample combined with the cell-only households.

LLWEIGHT is for analysis of the landline RDD sample only. Interviews conducted by cellphone are not given a weight and are excluded from analysis when this weight is used.

COWEIGHT is for analysis of the combined landline RDD sample and the cell-only cases. Cases from the cell phone RDD sample that reported having a landline phone are not given a weight and are excluded from analysis when this weight is used.

Beginning in the Fall of 2008, the Pew Research Center started using respondents’ self-reported zip code as
the basis for geographic variables such as region, state and county. We do this because the error rate in the original geographic information associated with the sample is quite high, especially for respondents from the cell phone sample.

For respondents who do not provide a zip code or for those we cannot match, we use the sample geographic information. We continue to include the original sample geographic variables in the datasets (these variables are preceded by an ‘s’) for archival purposes only.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

Releases from this survey:

October 15, 2013 "As Debt Limit Deadline Nears, Concern Ticks Up But Skepticism Persists: Despite Image Problems, GOP Holds Ground on Key Issues" http://www.people-press.org/2013/10/15/as-debt-limit-deadline-nears-concern-ticks-up-but-skepticism-persists/

October 15, 2013 "Record Anti-Incumbent Sentiment Ahead of 2014 Elections: More than a Year Out, Democrats Hold Slim Lead over Republicans" http://www.people-press.org/2013/10/15/record-anti-incumbent-sentiment-ahead-of-2014-elections/

October 16, 2013 "Tea Party’s Image Turns More Negative: Ted Cruz’s Popularity Soars among Tea Party Republicans" http://www.people-press.org/2013/10/16/tea-partys-image-turns-more-negative/

October 18, 2013 "Trust in Government Nears Record Low, But Most Federal Agencies Are Viewed Favorably: 62% Have Positive View of Federal Workers" http://www.people-press.org/2013/10/18/trust-in-government-nears-record-low-but-most-federal-agencies-are-viewed-favorably/

October 21, 2013 "Public Registers Bumpy Launch of Health Care Exchange Websites: 22% of Uninsured Have Visited Online Exchanges" http://www.people-press.org/2013/10/21/public-registers-bumpy-launch-of-health-care-exchange-websites/

November 1, 2013 "GOP Deeply Divided Over Climate Change" http://www.people-press.org/2013/11/01/gop-deeply-divided-over-climate-change/ ChatGPT said:

Here’s the structured entry for the October 2013 Political Survey with description, notes, and tags:

📌 Description

The October Political Survey was conducted by the Pew Research Center for the People & the Press between October 9–13, 2013, with a national sample of 1,504 adults. The survey included both landline and cell phone interviews, covering cell-only households as well as those with both landline and mobile phones. Weighting variables are provided to ensure representativeness and allow for comparisons between landline-only, cell-only, and combined samples.

The survey covered a range of political topics in the lead-up to the 2014 elections, including public opinion on government, partisan divides, the Tea Party, health care exchanges, and climate change.

📌 Notes

Mode: RDD landline and cell phone interviews (cell-only and dual users included).

Weights:

WEIGHT – for combined sample (landline + cell).

LLWEIGHT – for landline sample only.

COWEIGHT – for combined landline sample + cell-only respondents.

Geographic data: From Fall 2008 onward, self-reported ZIP codes were used for geographic coding (region, state, county) due to higher accuracy compared to sample-based geo-information. Original sample-based geographic variables (prefixed with “s”) are retained for archival purposes.

Privacy: Identifiers such as phone numbers, ZIP codes, and county of residence were removed.

Releases from this survey:

Oct 15, 2013: “As Debt Limit Deadline Nears, Concern Ticks Up But Skepticism Persists”

Oct 15, 2013: “Record Anti-Incumbent Sentiment Ahead of 2014 Elections”

Oct 16, 2013: “Tea Party’s Image Turns More Negative”

Oct 18, 2013: “Trust in Government Nears Record Low”

Oct 21, 2013: “Public Registers Bumpy Launch of Health Care Exchange Websites”

Nov 1, 2013: “GOP Deeply Divided Over Climate Change”

📌 Tags

Pew Research Center

People & the Press

October Political Survey 2013

Public Opinion

Trust in Government

Tea Party Movement

GOP & Democrats

Debt Limit Crisis 2013

Affordable Care Act (Health Care Exchanges)

Climate Change Opinion

Political Polarization

Anti-Incumbent Sentiment

Federal Agencies Perceptions

2014 Midterm Elections

Would you like me to standardize the “Releases from this survey” section into a neat bulleted list with links included in the notes for every entry, so your catalog keeps a consistent style?

You said: desc, tas and notes PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS OCTOBER POLITICAL October 25-30, 2017 N=1,504

WEIGHT is the weight for the combined sample of all landline and cell phone interviews. Data for all Pew Research Center reports are analyzed using this weight.

Two other weights can be used to compare the combined sample with the landline sample by itself and with the cell phone sample by itself.

LLWEIGHT is for analysis of the landline RDD sample only. Interviews conducted by cellphone are not given a weight and are excluded from analysis when this weight is used.

CELLWEIGHT is for analysis of the cell RDD sample only. Interviews conducted by landline are not given a weight and are excluded from analysis when this weight is used.

Beginning in the Fall of 2008, the Pew Research Center started using respondents self-reported zip code as
the basis for geographic variables such as region, state and county. We do this because the error rate in the original geographic information associated with the sample is quite high, especially for respondents from the cell phone sample.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

Releases from this survey:

November 2, 2017. "Declining Confidence in Trump, Lower Job Ratings for Congressional Leaders" http://www.people-press.org/2017/11/02/declining-confidence-in-trump-lower-job-ratings-for-congressional-leaders/

November 3, 2017. "Increasing Public Concern Over North Korea s Nuclear Capability, Intentions" http://www.people-press.org/2017/11/03/increasing-public-concern-over-north-koreas-nuclear-capability-intentions/

November 7, 2017. "Views of Job Situation Improve Sharply, but Many Still Say They re Falling Behind Financially" http://www.people-press.org/2017/11/07/views-of-job-situation-improve-sharply-but-many-still-say-theyre-falling-behind-financially/

November 9, 2017. "Partisans Have Starkly Different Opinions About How the World Views the U.S." http://www.people-press.org/2017/11/09/partisans-have-starkly-different-opinions-about-how-the-world-views-the-u-s/

Fact Tank posts from this survey:

November 13, 2017. "Americans generally positive about NAFTA, but most Republicans say it benefits Mexico more than U.S." http://www.pewresearch.org/fact-tank/2017/11/13/americans-generally-positive-about-nafta-but-most-republicans-say-it-benefits-mexico-more-than-u-s/

November 15, 2017. "Prescription drug abuse increasingly seen as a major U.S. public health problem" http://www.pewresearch.org/fact-tank/2017/11/15/prescription-drug-abuse-increasingly-seen-as-a-major-u-s-public-health-problem/

November 29, 2017. "Americans are split on the principle of pre-emptive military force" http://www.pewresearch.org/fact-tank/2017/11/28/americans-are-split-on-the-principle-of-pre-emptive-military-force/

January 5, 2018. "About six-in-ten Americans support marijuana legalization" http://www.pewresearch.org/fact-tank/2018/01/05/americans-support-marijuana-legalization/

NOTE: Questions Q.81 and Q.82 were rotated by form, and the reported only based on those who got the question first because of significant order effects. Form 1 for Q81, Form 2 for Q82 (see topline) . To replicate the results in the topline and reporting, please use these split forms.

SYNTAX

The following syntax is for constructed demographic variables.

*The combined race variable (racecmb) was computed using the following syntax: recode race_1 (1=1) (2=2) (3=3) (4 thru 7=5) (8 thru 9=9) into racecmb. if race_2>0 and race_2 0 and race_2 2. Compute statebal=statenv. end if. if (statereg=99) or (statenv=99) statebal=sstate. Var lab statebal State of registration/State live in .

SAMEDAY (states which allow same day registration) is computed as follows: recode statebal (16=1) (19=1) (23=1) (27=1) (30=1) (33=1) (55=1) (56=1) (38=3) (else=2) into sameday. val lab sameday 1 Same day registration 2 Pre-registration required 3 North Dakota .
REGFINAL (whether R is registered to vote) variable is computed as follows: compute regfinal=2. if (reg=1) regfinal=1. if (reg=2 and sameday=1) regfinal=1. if (planreg=1) regfinal=1. If (statebal=38) regfinal=1. val lab regfinal 1 Registered/Plan to/N.Dakota 2 Not registered .

************. The data set includes additional variables for presidential vote preference***.

*Q10HORSE combines vote preference for REGISTERED VOTERS using the following syntax: do if REGFINAL=1. compute Q10HORSE=0. if (q10=1 or q10a=1) Q10HORSE=1. if (q10=2 or q10a=2) Q10HORSE=2. if (q10=3 or q10a=3) Q10HORSE=3. if (q10=4 or q10a=4) Q10HORSE=4. if (q10=5 and q10a ge 5) Q10HORSE=5. if (q10=9 and q10a=9) Q10HORSE=9. end if. exe.

var lab Q10HORSE 2016 preference with leaners . val lab Q10HORSE 1 Clinton/lean Clinton 2 Trump/lean Trump 3 Johnson/lean Johnson 4 Stein/lean Stein 5 Other-refused to lean 9 DK-refused to lean .

*Q10HORSEGP combines vote preference for the GENERAL POPULATION using the following syntax: compute Q10HORSEGP=0. if (q10=1 or q10a=1 or q15=1 or q15a=1) Q10HORSEGP=1. if (q10=2 or q10a=2 or q15=2 or q15a=2) Q10HORSEGP=2. if (q10=3 or q10a=3) Q10HORSEGP=3. if (q10=4 or q10a=4) Q10HORSEGP=4. if (q10=5 and q10a ge 5 or (q15=3 and q15a=3)) Q10HORSEGP=5. if (q10=9 and q10a=9 or (q15=9 and q15=9)) Q10HORSEGP=9. end if. exe.

var lab Q10HORSEGP 2016 preference with leaners . val lab Q10HORSEGP 1 Clinton/lean Clinton 2 Trump/lean Trump 3 Johnson/lean Johnson 4 Stein/lean Stein 5 Other-refused to lean 9 DK-refused to lean .

*Q11HORSE2 combines the two-way vote preference (no third-party) for REGISTERED VOTERS using the following syntax: do if REGFINAL=1. compute Q11HORSE2=0. if (q10=1 or q10a=1) or (Q11=1 or Q11a=1) Q11HORSE2=1. if (q10=2 or q10a=2) or (Q11=2 or Q11a=2) Q11HORSE2=2. if (q11=3 or q11a=3) Q11HORSE2=3. if (q11=9 or q11a=4) Q11HORSE2=9. end if. exe.

var lab Q14HORSE2 2016 2-way preference with leaners . val lab Q14HORSE2 1 Clinton/lean Clinton 2 Trump/lean Trump 3 Other-refused to lean 9 DK-refused to lean .

ChatGPT said:

Here’s a structured description, tags, and notes entry for the Pew Research Center October 2016 Political Survey:

📌 Description

The Pew Research Center for the People & the Press conducted its October 20–25, 2016 Political Survey with a nationally representative sample of 2,583 adults. The survey was carried out through random-digit dialing (RDD) on both cell phones and landlines, with weighting variables provided to ensure representativeness. This dataset includes measures of public opinion in the weeks leading up to the 2016 U.S. presidential election, with variables capturing vote preference, voter registration, and demographic characteristics.

Weighting variables include:

WEIGHT – for the full combined sample.

LLWEIGHT – for landline interviews only.

CELLWEIGHT – for cell phone interviews only.

The dataset also contains constructed demographic variables (e.g., combined race, race-ethnicity) and voting-related measures such as registration status, state ballot variables, and vote preference (Clinton, Trump, Johnson, Stein, or other).

Survey results were reported in Pew’s October 27, 2016 release: “As Election Nears, Voters Divided Over Democracy and Respect”.

🏷️ Tags

Pew Research Center

October 2016 Political Survey

Public Opinion

U.S. Elections 2016

Presidential Election

Voter Registration

Vote Preference

Political Polarization

Random-Digit Dialing (RDD)

Cell Phone & Landline Survey

Weighting Variables

Political Attitudes

Election Studies

📝 Notes

Geographic variables are based primarily on self-reported ZIP code (introduced in 2008). Sample-based geography (preceded by “s”) is retained only for archival purposes.

Privacy protections: respondent phone numbers, county, and ZIP codes have been removed.

Demographic recodes: Includes combined race (racecmb) and race-ethnicity (racethn).

Voting variables: Includes constructed measures such as statebal (state ballot), sameday (same-day registration), and regfinal (final voter registration status).

Presidential preference variables:

Q10HORSE – vote preference among registered voters.

Q10HORSEGP – vote preference among general population.

Q11HORSE2 – two-way preference (Clinton vs. Trump only).

Survey captures late-campaign attitudes during a highly polarized election, providing valuable context for the 2016 electorate.

Would you like me to also create a shorter metadata-style version (like for a catalog or data repository) that’s more concise?

You said: PEW RESEARCH CENTER 2014 INTERGENERATIONAL RELATIONS 3-NATION SURVEY

This dataset is not meant to be analyzed in the aggregate. Each country should be analyzed separately. Filter based on the COUNTRY2 variable.

WEIGHT is the weight variable for the combined sample of all landline and cell phone interviews in each country and should be used for analysis of this data when filtering on the COUNTRY2 variable.

The survey is about family, aging, living arrangements, and finances.

Beginning in the Fall of 2008, Pew Research Center started using respondents’ self-reported zip code as
the basis for geographic variables such as region, state and county. We do this because the error rate in the original geographic information associated with the sample is quite high, especially for respondents from the cell phone sample.

For respondents who do not provide a zip code or for those we cannot match, we use the sample geographic information.

To protect the privacy of respondents, telephone numbers, county/region of residence and zip code have been removed from the public data file. These variables are available upon request.

The questionnaires in Italian and German are available upon request.

U.S. survey

October 27-November 24, 2014

The survey was conducted by Princeton Survey Research Associates International by telephone among a nationally representative sample of adults.

Interviews were conducted in English and Spanish.

National sample: N=1,692 non-institutionalized adults living in the United States, including 500 individuals ages 40-64 with both surviving child(ren) and one or more parents ages 65 and older

The margin of sampling error for the complete set of weighted data is ± 2.7 percentage points at the 95% confidence level.

Italy survey

November 3-December 18, 2014

The survey was conducted by Laboratorio Analisi Politiche e Sociali (LAPS), the University of Siena’s survey center, by telephone among a nationally representative sample of Italian residents ages 18 and older.

Interviews were conducted in Italian.

National sample: N=1,700 non-institutionalized adults living in Italy, including 502 individuals ages 40-64 with both surviving child(ren) and one or more parents ages 65 and older

The margin of sampling error for the complete set of weighted data is ± 2.5 percentage points at the 95% confidence level.

Germany survey

November 10-December 11, 2014

The survey was conducted by TNS Emnid by telephone among a nationally representative sample of German residents ages 18 and older.

Interviews were conducted in German.

National sample: N=1,534 non-institutionalized adults living in Germany, including 528 individuals ages 40-64 with both surviving child(ren) and one or more parents ages 65 and older

The margin of sampling error for the complete set of weighted data is ± 3.3 percentage points at the 95% confidence level.

ChatGPT said:

Here’s a structured entry with description, tags, and notes for the 2014 Intergenerational Relations 3-Nation Survey:

📌 Description

The Pew Research Center 2014 Intergenerational Relations 3-Nation Survey examined attitudes toward family, aging, living arrangements, and finances across the United States, Italy, and Germany. Conducted in late 2014, the survey collected nationally representative samples in each country, with interviews carried out via landline and cell phone using random-digit dialing (RDD).

The dataset is not intended to be analyzed in the aggregate; instead, each country must be analyzed separately using the COUNTRY2 variable and the provided weight variable (WEIGHT).

Samples included targeted oversamples of “sandwich generation” respondents (ages 40–64) with at least one surviving parent aged 65+ and at least one child.

🏷️ Tags

Pew Research Center

Intergenerational Relations

Family and Aging

Living Arrangements

Finances

Cross-National Survey

United States

Italy

Germany

Telephone Survey

Random-Digit Dialing (RDD)

Cell Phone & Landline

Public Opinion

International Comparison

📝 Notes

Survey scope: Family dynamics, aging, financial support, and intergenerational responsibilities.

Fieldwork & Samples:

United States (Oct 27–Nov 24, 2014): N=1,692 adults, including 500 “sandwich generation” respondents; conducted in English and Spanish. ±2.7% margin of error. (675 landline, 1,017 cell).

Italy (Nov 3–Dec 18, 2014): N=1,700 adults, including 502 “sandwich generation” respondents; conducted in Italian. ±2.5% margin of error. (1,141 landline, 375 cell).

Germany (Nov 10–Dec 11, 2014): N=1,534 adults, including 528 “sandwich generation” respondents; conducted in German. ±3.3% margin of error. (80% landline, 20% cell).

Weighting: Use WEIGHT variable when filtering on COUNTRY2.

Privacy protections: ZIP codes, counties/regions, and phone numbers removed; geographic data derived from self-reported ZIP codes (introduced in 2008).

Languages: Questionnaires in Italian and German are available upon request.

Comparability: Designed for within-country analysis and cross-national comparison, but not aggregate analysis across all three countries.

Would you like me to also prepare a short catalog-style version (just a few lines each for description, notes, and tags) for easier database entry?

You said: PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS OCTOBER POLITICAL SURVEY October 15-20, 2014 N=2,003

WEIGHT is the weight for the combined sample of all landline and cell phone interviews. Data for all Pew Research Center reports are analyzed using this weight.

Two other weights can be used to compare the combined sample with the landline sample by itself and with the cell phone sample by itself.

LLWEIGHT is for analysis of the landline RDD sample only. Interviews conducted by cellphone are not given a weight and are excluded from analysis when this weight is used.

CELLWEIGHT is for analysis of the cell RDD sample only. Interviews conducted by landline are not given a weight and are excluded from analysis when this weight is used.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

Releases from this survey:

October 21, 2014 "Ebola Worries Rise, But Most Are 'Fairly' Confident in Government, Hospitals to Deal With Disease" http://www.people-press.org/2014/10/21/ebola-worries-rise-but-most-are-fairly-confident-in-government-hospitals-to-deal-with-disease/

October 22, 2014 "Support for U.S. Campaign Against ISIS; Doubt About Its Effectiveness, Objectives" http://www.people-press.org/2014/10/22/support-for-u-s-campaign-against-isis-doubts-about-its-effectiveness-objectives/

October 23, 2014 "As Midterms Near, GOP Leads on Key Issues, Democrats Have a More Positive Image" http://www.people-press.org/2014/10/23/as-midterms-near-gop-leads-on-key-issues-democrats-have-a-more-positive-image/

October 28, 2014 "Fewer Voters Report Getting Robo-Calls, Campaign Ads Still Pervasive" http://www.people-press.org/2014/10/28/fewer-voters-report-getting-robo-calls-campaign-ads-still-pervasive/

SYNTAX

The likely voter scale is computed using the following variables.

Recode LVS variables. recode THOUGHT (1 thru 2=1) (else=0) into XTHOUGHT. recode OFTVOTE (1 thru 2=1) (else=0) into XOFTVOTE. recode PRECINCT (1=1) (else=0) into XPRECINCT. recode PLAN1 (1,2=1) (else=0) into XPLAN1. recode SCALE10 (9 thru 10=1) (else=0) into XSCALE10. recode PVOTE12A (1=1) (else=0) into XPVOTE12. recode q3 (1 thru 2=1) (else=0) into XFOLGOV.

Compute 7-point LVS scale. *18-21 no pvote, but receive 1 compensation point. Additional 1 point for those 18-19. if age ge 20 lvs=XTHOUGHT+XOFTVOTE+XPRECINCT+XPLAN1+XSCALE10+XFOLGOV+XPVOTE12. if age le 19 lvs=XTHOUGHT+XOFTVOTE+XPRECINCT+XPLAN1+XSCALE10+XFOLGOV+1. if age le 21 lvs=lvs+1. recode lvs (8=7). if (reg ge 2) lvs=0. if plan1=3 lvs=0. if plan1=2 lvs=7. var lab lvs "7-point likely voter scale".

A weight for likely Voters is computed based on the likely voter scale 48% cutoff for the scale. This weight (lvs48weight) should be used when analyzing likely voters. if lvs ge 7 lvs48weight=weight. if lvs=6 lvs48weight=weight*0.883739017608652. if lvs<6 lvs48weight=0. var lab lvs48weight "Likely voter weight at 48% cutoff".

This unlikely voter weight (unlvs48weight) is only used in comparison with likely voters. (this includes all those not considered likely voters--including non registered). if lvs ge 7 unlvs48weight=0. if lvs=6 unlvs48weight=weight*0.116260982391348. if lvs0 and race_2 0 and race_2 <8 racecmb=4. variable label racecmb "Combining Race". value label racecmb 1 "White" 2 "Black or African-American" 3 "Asian or Asian-American" 4 "Mixed Race" 5 "Or some other race" 9 "Don t know/Refused (VOL.)".

*The race-ethnicity variable (racethn) was computed using the following syntax: if racecmb=1 and hisp ge 2 racethn=1. if racecmb=2 and hisp ge 2 racethn=2. if (racecmb ge 3 and racecmb le 5) and (hisp ge 2) racethn=4. if racecmb=9 racethn=9. if hisp=1 racethn=3. variable label racethn Race-Ethnicity . value label racethn 1 White non-Hispanic 2 Black non-Hispanic 3 Hispanic 4 Other 9 Don t know/Refused (VOL.) .

The dataset includes a variable combining ideology and party, coded as follows (NOTE: BASED ON POST ELECTION PARTY):

if party GE 4 or ideo=9 partyideo=9. if party=1 and (ideo=1 or ideo=2) partyideo=1. if party=1 and (ideo=3 or ideo=4 or ideo=5) partyideo=2. if party=2 and (ideo=4 or ideo=5) partyideo=5. if party=2 and (ideo=1 or ideo=2 or ideo=3) partyideo=4. if party=3 partyideo=3. var lab partyideo Party and Ideology . value labels partyideo 1 Cons Rep 2 Mod-Lib Rep 3 Ind 4 Cons-Mod Dem 5 Lib Dem 9 DK/Ref to party or ideo .

The dataset includes a variable for generation, coded as follows:

compute year=2016. do if (age0 racecmb=4. var label racecmb "Combining Race". value label RACEcmb 1 "White" 2 "Black or African-American" 3 "Asian or Asian-American" 4 "Mixed Race" 5 "Or some other race" 9 "Don't know/Refused (VOL.)".

The SWING variable was computed using the following syntax:

if (q5=1) and (q8>1) swing=1. if (q5=2) and (q7>1) swing=2. if (q5a=1 or (q5=1 and q8=1)) swing=3. if (q5a=2 or (q5=2 and q7=1)) swing=4. if (q5a>2) swing=5. var lab swing '2008 Vote Preference'. val lab swing 1 'MCCAIN no chance Obama' 2 'OBAMA - no chance McCain' 3 'MCCAIN - Lean McCain Chance Obama' 4 'OBAMA - Lean Obama Chance McCain' 5 'UNDECIDED'.

The horserace variable (Q5horse) was computed using the following syntax:

If (q5=1 or q5a=1) q5horse=1 If (q5=2 or q5a=2) q5horse=2 If q5a=3 q5horse=3 If q5a=9 q5horse=9 Var lab q5horse Horserace . val lab q5horse 1 'McCain/lean McCain' 2 'Obama/lean Obama' 3 'Other-refused to lean' 5 'DK-refused to lean .

The BATTLE variable was computed using the following syntax:

recode state (1,2,4,5,13,16,18,20,21,22,28,30,31,37,38,40,45,46,47,48,49,56,54=1) (6,9,10,11,15,17,23,24,25,27,34,36,41,44,50,53=2) (8,12,19,26,29,32,33,35,39,42,55,51=3) into battle. var label battle 'Red, Blue & Battle'. val label battle 1'Republican states' 2 'Democratic states' 3 'Battleground states'.

The likely voter scale is computed using the following variables:

** LVS variables ****

recode thought (1 thru 2=1) (else=0) into lvs1. recode oftvote (1 thru 2=1) (else=0) into lvs2. recode pvote04a (1=1) (else=0) into lvs3. recode precinct (1=1) (else=0) into lvs4. recode scale10 (9 thru 10=1) (else=0) into lvs5. recode q2 (1 thru 2=1) (else=0) into lvs6. recode planto2 (1=1) (else=0) into lvs7. compute lvstemp=lvs1+lvs2+lvs3+lvs4+lvs5+lvs6+lvs7.

LVS is then adjusted, as follows:

COMPUTE lvs=lvstemp. if racecmb=2 lvs=lvstemp+1. if age<20 lvs=lvstemp+3. if age ge 20 and age le 25 lvs=lvstemp+2. if age ge 26 and age 1 lvs=0. if regist > 1 lvs=0. if planto1=2 lvs=0. if lvs > 7 lvs=7. exe. var label lvs '7-point likely voter scale'.

LIKELY VOTER WEIGHT

A weight for likely Voters is computed based on the likely voter scale (predicting 62% turnout--using a 67% cutoff for the scale).

This weight (lvswt67) should be used when analyzing likely voters.

if (lvs5) unlvwt67=0. if (lvs=5) unlvwt67=weight*.3692. if (lvs le 4) unlvwt67=weight. weight by unlvwt67. var label unlvwt67 'weight for unlikely voters'.

For additional information on Pew's likely voter scale, see:

http://people-press.org/methodology/election/#1

ChatGPT said:

Here’s a structured entry for the September 2008 Political/Foreign Policy Survey:

📌 Description

The Pew Research Center for the People & the Press September 2008 Political/Foreign Policy Survey was conducted September 9–14, 2008 with a total N=2,982 respondents. The survey includes RDD landline and cell phone interviews, covering both cell-only households and those with landlines. It focuses on voter preferences, political attitudes, foreign policy views, and likely voter modeling in the run-up to the 2008 U.S. presidential election.

The dataset includes multiple weights for analysis, coding of vote preference variables, swing voter classification, and a likely voter scale used in Pew’s election reporting.

🏷️ Tags

Pew Research Center

People & the Press

2008 U.S. Election

Political Attitudes

Public Opinion Survey

Foreign Policy

Likely Voter Scale

Voter Preferences

Swing Voters

Red/Blue/Battleground States

Survey Weights

📝 Notes

Field dates: September 9–14, 2008.

Sample size: N=2,982.

Method: RDD landline and cell phone interviews (including cell-only households).

Weights included:

WEIGHT: Combined landline and cell phone sample (primary analysis weight).

LLWEIGHT: Landline-only RDD sample.

COWEIGHT: Landline sample + cell-only cases.

lvswt67: Likely voter weight (based on 7-point likely voter scale, 67% cutoff).

unlvwt67: Unlikely voter weight (complementary to likely voter analysis).

Key computed variables:

racecmb: Consolidated race variable (White, Black, Asian, Mixed, Other).

SWING: Voter preference categories (McCain solid, Obama solid, leaners, undecided).

q5horse: “Horse race” measure of presidential preference (McCain/lean McCain, Obama/lean Obama, Other/Undecided).

BATTLE: State classification into Republican, Democratic, and Battleground states.

LVS: 7-point likely voter scale (adjusted for race, age, registration, and intent to vote).

Likely voter scale:

Based on turnout interest, past voting, registration status, intention to vote, and strength of preference.

Adjusted by demographic factors (age, race).

Used to predict 62% turnout with a cutoff at 67% on the scale.

Reference: Further details on Pew’s likely voter methodology: Pew Research – Election Methodology .

Would you like me to also summarize the variable construction (swing, horserace, LVS) into a small researcher’s quick reference table, so you don’t have to parse the syntax each time?

You said: Mid-October 2000 Political Survey October 18-22, 2000

Likely Voter Scale: SPSS SYNTAX. RECODE q2 (1 thru 2=1) (3 thru 9=0) INTO lvs01. RECODE q6 (1=1) (2 thru 9=0) INTO lvs02. RECODE q6a (1 thru 3=1) (4 thru 9=0) INTO lvs03. RECODE q17 (1=1) (2 thru 9=0) INTO lvs04. RECODE q18 (1 thru 6=0) (7 thru 10=1) (11 thru hi=0) INTO lvs05. COMPUTE lvs=lvs01+lvs02+lvs03+lvs04+lvs05. IF (q17=2) lvs=0. IF (q4>1) lvs=0. IF (q4a>1) lvs=0. EXECUTE. NOTE: when saving the dataset, please DROP the variables lvs01 thru lvs05.

In reporting results based on likely voters, we assume that 50% of our national sample will turn out to vote. Typically, this includes all of the respondents who score a 5 on the Likely Voter Scale, and a weighted proportion of those who score a 4.

For example, if 40% of the sample scores a 5 and 17% scores a 4, that means we need to get 10% of the sample out of category 4 to go with the 40% in category 5 to make 50%. To do this, we multiply the weight for respondents in category 4 by .5822 (10/17), while those in category 5 are given the standard weight variable, and those in categories 0 through 3 are weighted zero.
The net result is a weighted sample that represents half of the national sample. ChatGPT said:

Here’s a structured entry for the Mid-October 2000 Political Survey based on what you provided:

📌 Description

The Pew Research Center Mid-October 2000 Political Survey was conducted October 18–22, 2000, in the final weeks of the 2000 U.S. presidential election. The survey includes a likely voter scale used to model turnout and produce weighted estimates of voter preferences. The methodology reflects Pew’s approach to estimating turnout at 50% of the national adult population, incorporating weighted adjustments for respondents who fall into marginal categories on the likely voter scale.

🏷️ Tags

Pew Research Center

2000 U.S. Election

Political Attitudes

Public Opinion Survey

Likely Voter Scale

Voter Turnout

Survey Weights

Election Polling

📝 Notes

Field dates: October 18–22, 2000. Focus: Voter turnout modeling, likely voter identification, presidential preference.

Likely Voter Scale (LVS):

Built from five recoded indicators (lvs01–lvs05) based on interest, voting history, registration, and intention.

Respondents excluded (set to 0) if:

Did not express intent to vote (q17=2).

Failed registration checks (q4>1 or q4a>1).

Final variable: lvs = lvs01 + lvs02 + lvs03 + lvs04 + lvs05 (range: 0–5).

Temporary components (lvs01–lvs05) were dropped after computation.

Turnout assumption:

Reporting assumes 50% turnout of the national sample.

Rule:

All respondents scoring 5 on the scale are included.

A weighted portion of those scoring 4 are included.

Scores 0–3 are excluded (weight = 0).

Example adjustment (from dataset):

40% scored 5, 17% scored 4 → Need 10% more from category 4.

Weight for category 4 respondents: multiplied by 0.5822 (10 ÷ 17).

Category 5: assigned standard survey weight.

Categories 0–3: excluded.

Net result: A reweighted sample representing half of the national adult population, consistent with Pew’s assumption of 50% turnout.

Would you like me to also create a side-by-side comparison table showing how Pew’s 2000 Likely Voter Scale differs from their 2008 Likely Voter Scale? (They use different items and cutoffs.) That might make it easier to track Pew’s methodology shifts over time.

You said: PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS MID APRIL 2010 OMNIBUS SURVEY APRIL 8-11, 2010 N=1,001

The Mid-April 2010 Omnibus Survey was conducted on landlines and cell phones with 1,001 adults from April 8-11, 2010. The Mid-April 2010 Omnibus Survey was conducted as part of the 2010 Trust in Government Project which included a main survey and three omnibus surveys. The main survey for this project was conducted from March 11-21, 2010 and two other omnibus surveys were conducted March 18-21 and April 1-5. This readme file concerns only the Mid-April Omnibus Survey conducted April 8-11, 2010. The data for the other surveys were released separately.

This dataset includes cell phone interviews conducted using an RDD sample of landline and cell phone numbers. Cell phone interviews include households that are cell-only as well as those that also have a landline phone. WEIGHT is the weight for the combined sample of all landline and cell phone interviews and should be used for all analysis of this data.

For respondents who do not provide a zip code or for those we cannot match, we use the sample geographic information.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

Because this was an omnibus, the question numbering in the topline and questionnaire do not match the variable names and question numbering in the SPSS file. They can be matched as follows:

DATASET QUESTIONNAIRE/TOPLINE pew1 1 (Presidential approval) pew2 2 (Republican leaders approval) pew3 3 Democratc leaders approval) pew4a-f 4a-f (News Interest Index six question battery) pew5 5 (News story followed most closely) pew6 6 (Do you use the internet?) pew7 7 (Do you send or receive email?) pew8a-c 8a-c (Ever... Get news online, use social networking sites, use cell phone for internet?) pew10 10 (Which group best refelcts your views right now)

NOTE: Questions 4a-f, 5-7 & 8a-c were not released as part of the Trust report and were used for internal analysis only.

ChatGPT said:

Here’s a structured summary for the Pew Mid-April 2010 Omnibus Survey:

📌 Description

The Pew Research Center Mid-April 2010 Omnibus Survey was conducted April 8–11, 2010, with a nationally representative sample of 1,001 U.S. adults interviewed on both landlines and cell phones. This survey was part of the 2010 Trust in Government Project, which included a main survey (March 11–21, 2010) and three omnibus surveys (March 18–21, April 1–5, and April 8–11).

This dataset is specific to the April 8–11 omnibus and should be analyzed separately from the other Trust in Government datasets.

🏷️ Tags

Pew Research Center

2010 Trust in Government Project

Public Opinion Survey

Omnibus Survey

Political Attitudes

Presidential Approval

Republican Leaders Approval

Democratic Leaders Approval

News Interest Index

Internet & Media Use

Survey Weights

Landline and Cell Phone RDD

📝 Notes

Field dates & sample:

Conducted April 8–11, 2010

N = 1,001 U.S. adults

Interviews conducted by landline and cell phone RDD

Includes both cell-only and dual phone households

Weights:

WEIGHT is the combined adjustment for all landline and cell phone interviews

Must be applied for all analysis

Geographic coding:

Based on self-reported ZIP codes (since Fall 2008)

ZIP codes not provided or unmatched → sample frame geography used

Personally identifiable geography (ZIP, county, phone numbers) removed for privacy

Omnibus survey design:

Question numbering differs between SPSS dataset and topline/questionnaire

Mapping provided:

Dataset Variable Questionnaire/Topline Question Description pew1 Q1 Presidential approval pew2 Q2 Republican leaders approval pew3 Q3 Democratic leaders approval pew4a-f Q4a-f News Interest Index (six-question battery) pew5 Q5 News story followed most closely pew6 Q6 Internet use pew7 Q7 Email use pew8a-c Q8a-c Online news, social networking, mobile internet pew10 Q10 Group best reflecting views

Internal-use-only items (not released in Trust report):

pew4a-f (News Interest Index)

pew5–7 (News following, internet, email)

pew8a-c (News online, social networking, mobile internet)

Would you like me to also create a unified metadata sheet for all the 2010 Trust in Government Project surveys (main + 3 omnibus), so you can see side-by-side what each dataset covers and which variables are shared vs. unique?

You said: PEW RESEARCH CENTER FOR THE PEOPLE AND THE PRESS 2003 METHODOLOGY STUDY Standard Survey N=1,000 (June 4 - 8, 2003) Rigorous Survey N=1,089 (June 4 - October 30, 2003)

This dataset contains data for both the Standard survey and the Rigorous survey. Use the GROUPS variable to distinguish between the Standard 5-day survey, the Standard Extended field period, and the Rigorous survey.

The Standard 5-day survey interviewed 1,000 respondents from June 4 - 8, 2003. Results for this field period were released as the June 2003 News Interest Index on June 12, 2003 in "66% Expect Bush Victory, But Democrats More Optimistic Than In '91." To reproduce results released in that report, please refer to the June 2003 News Interest Index dataset on http://people-press.org/dataarchive because the weight variable used in that dataset is slightly different from the one presented here. In this dataset, the weight variable for the Standard 5-day survey is called WTNII. Data for the Standard 5-day survey is coded as "1" in the GROUPS variable.

An additional 370 respondents were interviewed from June 9 - September 29, 2003. Data for the Standard Extended survey is coded as "2" in the GROUPS variable.

The Rigorous survey interviewed 1,089 respondents from June 4 - October 30, 2003. Data for the Rigorous survey is coded as "3" in the GROUPS variable.

GUIDE TO WEIGHTS: TO weight 5-day Standard vs. Rigorous, use WEIGHT. To weight 5-day Standard survey only, use WTNII. To weight all of the Standard cases (5-day + extended) vs. Rigorous, use WTTOTAL. To weight by form all of the Standard cases (5-day + extended) vs. Rigorous, use WTFORM. To weight all cases from both studies together, use WTALL. ChatGPT said:

Here’s a structured summary for the 2003 Methodology Study dataset:

📌 Description

The Pew Research Center 2003 Methodology Study consists of two major survey efforts conducted to compare standard survey practices with a more rigorous survey design.

Standard 5-day Survey: N=1,000, fielded June 4–8, 2003.

Results were released as part of the June 2003 News Interest Index report: “66% Expect Bush Victory, But Democrats More Optimistic Than In ’91” (June 12, 2003).

In this dataset, the weight for replicating those results is slightly different (variable name WTNII).

Standard Extended Survey: N=370, fielded June 9–Sept 29, 2003.

Supplement to the Standard survey sample.

Rigorous Survey: N=1,089, fielded June 4–Oct 30, 2003.

Designed with a more methodologically intensive approach.

The combined dataset includes all three groups. Use the variable GROUPS to distinguish survey type.

🏷️ Tags

Pew Research Center

Methodology Study

Survey Methods

News Interest Index

Public Opinion 2003

Standard vs. Rigorous Survey Design

Weighting Variables

Experimental Survey Design

📝 Notes

Field dates & sample sizes:

Standard 5-day: June 4–8, 2003, N=1,000 (GROUPS=1)

Standard Extended: June 9–Sept 29, 2003, N=370 (GROUPS=2)

Rigorous: June 4–Oct 30, 2003, N=1,089 (GROUPS=3)

Weights guide:

WEIGHT → Compares Standard 5-day vs. Rigorous

WTNII → Standard 5-day survey only (for replicating June 2003 News Interest Index results)

WTTOTAL → All Standard cases (5-day + extended) vs. Rigorous

WTFORM → Form-based weighting (Standard + extended vs. Rigorous)

WTALL → Weights all cases from both studies together

Additional notes:

For reproducing the June 2003 News Interest Index results, use the separate News Interest Index dataset (different weight variable than provided here).

This dataset is primarily intended for methodological comparisons rather than topical public opinion analysis.

Do you want me to map out the GROUPS variable and weights in a clean reference table (so you can quickly see which weight applies to which subsample)?

You said: PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS MAY 2011 POLITICAL SURVEY MAY 25-30, 2011 TOTAL N=1,509

WEIGHT is the weight for the combined sample of all landline and cell phone interviews. Data for all Pew Research Center reports are analyzed using this weight.

Two other weights can be used to compare the combined sample with the landline sample by itself and with the landline sample combined with the cell-only households.

LLWEIGHT is for analysis of the landline RDD sample only. Interviews conducted by cellphone are not given a weight and are excluded from analysis when this weight is used.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

ChatGPT said:

Here’s a clean structured summary for the May 2011 Political Survey:

📌 Description

The Pew Research Center for the People & the Press – May 2011 Political Survey was conducted May 25–30, 2011 with a national sample of 1,509 adults. The survey used a random digit dial (RDD) design including both landline and cell phone interviews.

It is part of Pew’s ongoing political surveys designed to track public opinion, trust in government, and political leadership evaluations.

🏷️ Tags

Pew Research Center

Political Survey 2011

Public Opinion

U.S. Politics

RDD Sampling

Survey Weights

Landline & Cell Phone Interviews

Methodology

American Public Opinion

Political Attitudes

📝 Notes

Sample & Design:

N=1,509 adults, conducted May 25–30, 2011

Interviews conducted via landline and cell phone RDD

Includes cell-only households and dual users (landline + cell)

Weights:

WEIGHT → Main weight for all landline + cell interviews (use for most analyses; standard Pew reports use this)

LLWEIGHT → For landline sample only (excludes cell interviews)

COWEIGHT → For landline sample + cell-only households (excludes dual-users from cell sample)

Geographic coding:

Since Fall 2008, Pew has used self-reported ZIP codes to generate region, state, and county variables (more accurate than sample-based geographic info, especially for cell sample).

If ZIP code not provided/matched, sample-based info is used.

Original sample geography variables (prefixed with “s”) are retained only for archival use.

Privacy protections:

Telephone numbers, county of residence, and ZIP codes have been removed from the dataset.

Would you like me to also create a quick “weight selection guide” table (like I did for the 2003 Methodology Study) so it’s easier to see which weight applies to which subset?

You said: PEW RESEARCH CENTER FOR THE PEOPLE & THE PRESS MAY RDD/RBS STUDY April 25-May 1, 2018 N=1,503

NOTE: This project included two studies: 1) a random-digit-dial study (RDD) and 2) a registration-based study (RBS). This dataset includes only the interviews conducted for the RDD study.

WEIGHT is the weight for the combined sample of all landline and cell phone interviews. Data for all Pew Research Center reports are analyzed using this weight.

One additional weight can be used to compare the combined sample with the cell phone sample by itself.

CELLWEIGHT is for analysis of the cell RDD sample only. Interviews conducted by landline are not given a weight and are excluded from analysis when this weight is used.

To protect the privacy of respondents, telephone numbers, county of residence and zip code have been removed from the data file.

Releases from this survey:

May 3, 2018. "Trump Viewed Less Negatively on Issues, but Most Americans Are Critical of His Conduct" http://www.people-press.org/2018/05/03/trump-viewed-less-negatively-on-issues-but-most-americans-are-critical-of-his-conduct/

May 8, 2018. "Public Is Skeptical of the Iran Agreement and Trump s Handling of the Issue" http://www.people-press.org/2018/05/08/public-is-skeptical-of-the-iran-agreement-and-trumps-handling-of-the-issue/

May 10, 2018. "Public Supports U.S. Talks With North Korea; Many Doubt Whether Its Leaders Are Serious " http://www.people-press.org/2018/05/10/public-supports-u-s-talks-with-north-korea-many-doubt-whether-its-leaders-are-serious/

October 9, 2018. "Comparing Survey Sampling Strategies: Random-Digit Dial vs. Voter Files" http://www.pewresearch.org/methods/2018/10/09/comparing-survey-sampling-strategies-random-digit-dial-vs-voter-files/

Blog posts from this survey:

May 10, 2018. "Americans are generally positive about free trade agreements, more critical of tariff increases" http://www.pewresearch.org/fact-tank/2018/05/10/americans-are-generally-positive-about-free-trade-agreements-more-critical-of-tariff-increases/

May 16, 2018. "Democrats, Republicans give their parties so-so ratings for standing up for traditional positions" http://www.pewresearch.org/fact-tank/2018/05/16/democrats-republicans-give-their-parties-so-so-ratings-for-standing-up-for-traditional-positions/

May 24, 2018. "Republicans turn more negative toward refugees as number admitted to U.S. plummets" http://www.pewresearch.org/fact-tank/2018/05/24/republicans-turn-more-negative-toward-refugees-as-number-admitted-to-u-s-plummets/

June 5, 2018. "More Americans view long-term decline in union membership negatively than positively" http://www.pewresearch.org/fact-tank/2018/06/05/more-americans-view-long-term-decline-in-union-membership-negatively-than-positively/

SYNTAX

The following syntax is for constructed demographic variables.

1 = White

2 = Black or African-American

3 = Asian or Asian-American

4 = Mixed Race

5 = Other race

9 = Don’t know/Refused

Race-Ethnicity (racethn):

if racecmb=1 and hisp ge 2 racethn=1. if racecmb=2 and hisp ge 2 racethn=2. if (racecmb ge 3 and racecmb le 5) and (hisp ge 2) racethn=4. if racecmb=9 racethn=9. if hisp=1 racethn=3.

1 = White non-Hispanic

2 = Black non-Hispanic

3 = Hispanic

4 = Other

9 = Don’t know/Refused

✅ This is more compact than the 2010 "Trust in Government" file you shared, since it doesn’t include a constructed satisfaction/distrust scale — it mostly focuses on demographics and standard weighting.

Do you want me to compare this 2018 documentation with the 2010 Trust in Government survey file (e.g., differences in constructed variables, weighting, and releases), or should I just keep summarizing each readme individually?

You said: description, tags sand notes ChatGPT said:

Got it 👍 — here’s a structured description, tags, and notes for the March 7–14, 2018 Pew Political Survey (N=1,466):

📌 Description

The Pew Research Center’s March 2018 Political Survey was conducted March 7–14, 2018 with a nationally representative sample of 1,466 U.S. adults using random-digit-dial (RDD) phone interviews (cell + landline). The dataset includes weighting variables for combined and cell-only analyses. It contains demographic recodes (race, race-ethnicity) and geography based on self-reported ZIP codes. Findings informed reports on confidence in the Mueller investigation, shifting economic views, and perceptions of American democracy.

Data and Resources

ZIP March18.zip ZIP March18.zip
Weighting: WEIGHT for full landline + cell sample (default for Pew reports)....

Download More information

Additional Info

Field	Value
Source	https://www.pewresearch.org/datasets/
Author	Pew Reseach Center
Last Updated	August 28, 2025, 10:15 (UTC)
Created	August 28, 2025, 10:15 (UTC)
Publisher	Pew Reseach Center
Data Type	non-geospatial
Data Source	Primary Research
Organization Type	Private organization
Category	Demography