100+ datasets found
  1. Forecast: Number of Persons Employed in Market Research and Public Opinion...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in France 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/5e84496e338b1f6a41d7ae72547781d3df183214
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    France
    Description

    Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in France 2024 - 2028 Discover more data with ReportLinker!

  2. Forecast: Number of Persons Employed of Market Research and Public Opinion...

    • reportlinker.com
    Updated Apr 5, 2024
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    ReportLinker (2024). Forecast: Number of Persons Employed of Market Research and Public Opinion Polling in Italy 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/487741953388084ecbc5e819b05782967bdc1943
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    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Italy
    Description

    Forecast: Number of Persons Employed of Market Research and Public Opinion Polling in Italy 2024 - 2028 Discover more data with ReportLinker!

  3. United States Employment: NF: PB: Marketing Research & Public Opinion...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Employment: NF: PB: Marketing Research & Public Opinion Polling [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm/employment-nf-pb-marketing-research--public-opinion-polling
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    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: PB: Marketing Research & Public Opinion Polling data was reported at 90.300 Person th in May 2018. This records a decrease from the previous number of 91.400 Person th for Apr 2018. United States Employment: NF: PB: Marketing Research & Public Opinion Polling data is updated monthly, averaging 103.700 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 119.400 Person th in Dec 2000 and a record low of 75.000 Person th in Jan 1991. United States Employment: NF: PB: Marketing Research & Public Opinion Polling data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

  4. Pulse of the Nation

    • kaggle.com
    Updated Dec 21, 2017
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    Cards Against Humanity (2017). Pulse of the Nation [Dataset]. https://www.kaggle.com/cardsagainsthumanity/pulse-of-the-nation/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 21, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Cards Against Humanity
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    THE POLL

    As part of Cards Against Humanity Saves America, this poll is funded for one year of monthly public opinion polls. Cards Against Humanity is asking the American people about their social and political views, what they think of the president, and their pee-pee habits.

    To conduct their polls in a scientifically rigorous manner, they partnered with Survey Sampling International — a professional research firm — to contact a nationally representative sample of the American public. For the first three polls, they interrupted people’s dinners on both their cell phones and landlines, and a total of about 3,000 adults didn’t hang up immediately. They examined the data for statistically significant correlations which can be found here: [https://thepulseofthenation.com/][1]

    Content

    • Polls are released each month (they are still polling so this will be updated each month)
    • Row one is the header and contains the questions
    • Each row is one respondent's answers

    Questions in the Sep 2017 poll:

    • Income
    • Gender
    • Age
    • Age Range
    • Political Affiliation
    • Do you approve or disapprove of how Donald Trump is handling his job as president?
    • What is your highest level of education?
    • What is your race?
    • What is your marital status?
    • What would you say is the likelihood that your current job will be entirely performed by robots or computers within the next decade?
    • Do you believe that climate change is real and caused by people, real but not caused by people, or not real at all?"
    • How many Transformers movies have you seen?
    • Do you agree or disagree with the following statement: scientists are generally honest and are serving the public good.
    • Do you agree or disagree with the following statement: vaccines are safe and protect children from disease.
    • "How many books, if any have you read in the past year?"
    • Do you believe in ghosts?
    • What percentage of the federal budget would you estimate is spent on scientific research?
    • "Is federal funding of scientific research too high too low or about right?"
    • True or false: the earth is always farther away from the sun in the winter than in the summer.
    • "If you had to choose: would you rather be smart and sad or dumb and happy?"
    • Do you think it is acceptable or unacceptable to urinate in the shower?

    Questions from Oct 2017 poll

    • Income
    • Gender
    • Age
    • Age Range
    • Political Affiliation
    • Do you approve or disapprove of how Donald Trump is handling his job as president?
    • What is your highest level of education?
    • What is your race?
    • From what you have heard or seen do you mostly agree or mostly disagree with the beliefs of White Nationalists?
    • If you had to guess what percentage of Republicans would say that they mostly agree with the beliefs of White Nationalists?
    • Would you say that you love America?
    • If you had to guess, what percentage of Democrats would say that they love America?
    • Do you think that government policies should help those who are poor and struggling in America?
    • If you had to guess, what percentage of Republicans would say yes to that question?
    • Do you think that most white people in America are racist?
    • If you had to guess, what percentage of Democrats would say yes to that question?
    • Have you lost any friendships or other relationships as a result of the 2016 presidential election?
    • Do you think it is likely or unlikely that there will be a Civil War in the United States within the next decade?
    • Have you ever gone hunting?
    • Have you ever eaten a kale salad?
    • If Dwayne "The Rock" Johnson ran for president as a candidate for your political party, would you vote for him?
    • Who would you prefer as president of the United States, Darth Vader or Donald Trump?

    Questions from Nov 2017 poll

    • Income
    • Gender
    • Age
    • Age Range
    • In politics today, do you consider yourself a Democrat, a Republican or Independent?
    • Would you say you are liberal, conservative, or moderate?
    • What is your highest level of education? (High school or less, Some college, College degree, Graduate degree)
    • What is your race? (white, black, latino, asian, other)
    • Do you live in a city, suburb, or small town?
    • Do you approve, disapprove, or neither approve nor disapprove of how Donald Trump is handling his job as president?
    • Do you think federal funding for welfare programs in America should be increased, decreased, or kept the same?
    • Do you think poor black people are more likely to benefit from welfare programs than poor white people?
    • Do you think poor people in cities are more likely to benefit from welfare programs than poor people in small towns?
    • If you had to choose, would you rather live in a more equal society or a more unequal society?

    Acknowledgements

    These polls are from Cards Against Humanity Saves America and the raw data can be found here: [https://thepulse...

  5. United States Employment: NF: PW: PB: Marketing Research & Public Opinion...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Employment: NF: PW: PB: Marketing Research & Public Opinion Polling [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-production-worker-non-farm/employment-nf-pw-pb-marketing-research--public-opinion-polling
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    Dataset updated
    Mar 29, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: PW: PB: Marketing Research & Public Opinion Polling data was reported at 70.800 Person th in Oct 2018. This records an increase from the previous number of 69.800 Person th for Sep 2018. United States Employment: NF: PW: PB: Marketing Research & Public Opinion Polling data is updated monthly, averaging 84.750 Person th from Jan 1990 (Median) to Oct 2018, with 346 observations. The data reached an all-time high of 99.600 Person th in Dec 2000 and a record low of 57.300 Person th in Jan 1991. United States Employment: NF: PW: PB: Marketing Research & Public Opinion Polling data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

  6. Forecast: Number of Persons Employed in Market Research and Public Opinion...

    • reportlinker.com
    Updated Apr 12, 2024
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    ReportLinker (2024). Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/8bf9d1a4b926376b93fe16805e3ec44ebee398d9
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    Dataset updated
    Apr 12, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in the UK 2024 - 2028 Discover more data with ReportLinker!

  7. George Washington University Poll: October 2004 [Roper #31109918]

    • ropercenter.cornell.edu
    Updated Nov 1, 2004
    + more versions
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    Roper Center for Public Opinion Research (2004). George Washington University Poll: October 2004 [Roper #31109918] [Dataset]. http://doi.org/10.25940/ROPER-31109918
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    Dataset updated
    Nov 1, 2004
    Dataset provided by
    Roper Center for Public Opinion Researchhttps://ropercenter.cornell.edu/
    License

    https://ropercenter.cornell.edu/roper-center-data-archive-terms-and-conditionshttps://ropercenter.cornell.edu/roper-center-data-archive-terms-and-conditions

    Time period covered
    Oct 27, 2004 - Oct 31, 2004
    Area covered
    United States
    Measurement technique
    Survey sample: National likely voters. Survey based on 1000 telephone interviews.
    Dataset funded by
    George Washington University
    Description

    Public opinion poll on: Congress; Economics; Elections; Ideology; Information; Middle East; Mood; Notable People; Political Partisanship; Presidency; Presidential Approval; Problems; Ratings; Religion; Terrorism; Values; Veterans; Vote for President; War.

  8. Data from: Survey of Young People’s Voting Behaviour After the Introduction...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2025
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    datacite (2025). Survey of Young People’s Voting Behaviour After the Introduction of Votes at 16 in Scotland, 2021 [Dataset]. http://doi.org/10.5255/ukda-sn-857551
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    Dataset updated
    2025
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    Scotland
    Description

    The data collection includes a survey covering aspects of political behaviour among representative samples of cohorts of young people aged 16 to 31 who came of age in the context of and since the lowering of the voting age in Scotland. Additionally, the survey was also conducted among a comparative sample representative of adults aged 32 and older in Scotland. The survey was designed to answer research questions on young people's voting behaviour seven years after the introduction of Votes at 16 in Scotland to assess the longer-term outcomes of the lowering of the voting age to 16 in Scotland. It covered questions on political engagement (both conventional and less conventional), political attitudes (including views on institutions and self-efficacy), family background, experiences with civic education and personal circumstances.

  9. Springtide Research Institute's Annual Religion and Young People Survey,...

    • thearda.com
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    The Association of Religion Data Archives, Springtide Research Institute's Annual Religion and Young People Survey, 2022 [Dataset]. http://doi.org/10.17605/OSF.IO/DWUNY
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    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    LERI
    Springtide Research Institute
    Description

    Each year, the Springtide Research Institute conducts an online national survey to explore a different facet of young people's religious and spiritual lives. In 2022, Springtide turned its attention to exploring young people's perceptions of the sacred. The survey questionnaire included 45 questions and was completed by 4,546 young people between the ages of 13 and 25. Respondents answered questions about religious attendance, identity, beliefs, and practices. Additionally, the survey asked respondents questions about their experiences with sacred moments, spaces, and places.

  10. Research software funding policies and programs: Results from an...

    • zenodo.org
    Updated Dec 5, 2024
    + more versions
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    Eric Allen Jensen; Eric Allen Jensen (2024). Research software funding policies and programs: Results from an international survey (Dataset) [Dataset]. http://doi.org/10.5281/zenodo.14280880
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    Dataset updated
    Dec 5, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Eric Allen Jensen; Eric Allen Jensen
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Measurement technique
    <h1><strong>Consent block of the survey</strong></h1> <p><strong>Thank you for your interest in this research study!</strong></p> <p>This study invites research funder representatives from around the world to share their experiences and perspectives. Our research focuses on how policies and practices can make research software more sustainable and impactful. Specifically, it examines research funders’ expectations, experiences, objectives, and plans related to efforts around software policies and sustainability.</p> <p>This study is aimed at understanding the bigger picture and identifying the factors that lead to successful research funding policy. Your insights will help inform the development of better strategies to improve the longevity and effectiveness of research software. It will also allow us to identify potential roadblocks and devise ways to overcome them, thereby making the research software landscape more conducive to ongoing innovation and improvement.</p> <p>We appreciate your time and valuable contributions to this study. Your participation will go a long way in shaping the future of research software policy.<br><br><strong>Who should participate in this study?</strong><br>This survey is intended for research funder representatives. <br><br><strong>How are you being asked to help?</strong><br><em>Online survey (~15 min.) > Online interview (~45-60 minutes) > online workshop (120-180 minutes)</em></p> <p>If you choose to participate in this study, you will be asked to fill out a survey online about your experiences, expectations, and interactions with efforts to improve research software policies and sustainability (10-15 minutes).</p> <p>Next, you may be invited to participate in a recorded online interview (approx. 45 minutes), where we will discuss in more detail your organization’s past initiatives and future plans to bolster research software’s sustainability and impact.</p> <p>Finally, you may be invited to take part in a recorded online discussion workshop. During these virtual sessions, we'll share our early results and ask for your thoughts on them.</p> <p>We might also invite you to participate in future stages of this project or similar research, but whether you choose to participate is entirely up to you at every stage.</p> <p><strong>Institutional Review Board:</strong></p> <p>If you have any questions about your rights as a research subject, including concerns, complaints, or to offer input, you may call the Office for the Protection of Research Subjects (OPRS) at 217-333-2670 or e-mail OPRS at <a href="mailto:irb@illinois.edu">irb@illinois.edu</a>. If you would like to complete a brief survey to provide OPRS feedback about your experiences as a research participant, please follow the link <a href="https://redcap.healthinstitute.illinois.edu/surveys/?s=47X9T4NE4X">here</a> or through a link on the OPRS website: <a href="https://oprs.research.illinois.edu/">https://oprs.research.illinois.edu/</a>. You will have the option to provide feedback or concerns anonymously or you may provide your name and contact information for follow-up purposes.</p> <p> </p> <p>There are just a few things we would like to point out before you continue:</p> <p>● Your participation in this research is fully voluntary. You can tell us that you don’t want to be in this study. You can start the study and then choose to stop the study later.</p> <p>● Any personally identifiable information you provide will be kept confidential by default. This will be achieved by maintaining data in password-secured digital storage and separating personally identifiable information from the rest of the research data based on your explicit preferences.</p> <p>● The data you submit will be fully anonymized prior to open publication by default.</p> <p>● The data will be analyzed and used to create outputs aimed at research, industry and professional development.</p> <p> </p> <p><strong>At this stage, please download and read the Participant Information Sheet </strong>[link to be embedded].</p> <p><strong>Please indicate whether you understand and agree with the statements above, and are willing to participate in this survey: [Checkbox]</strong></p> <p>o I have read and understood the information contained in the Participant Information Sheet.</p> <p>o Yes, I understand, agree, and am willing to participate in this research.</p> <p> </p> <p><strong>In addition, please also indicate whether you opt-in to these uses of personally identifiable data: [Checkbox]</strong></p> <p><em>(This will not affect your eligibility to participate in the survey.)</em></p> <p>Yes, you may indicate my name (or other professional identifier) as a research participant (e.g., in the acknowledgements of the report not linked to any specific responses).</p> <p>Yes, you may keep me up to date on project results using the contact details I have provided (e.g., an invitation to presentations/webinars on findings).</p> <p>Yes, you may re-contact me for the purposes of this research.</p> <p>Yes, you may re-contact me for future studies on related topics.</p> <div> <p><em>Please note</em>: There is a risk that confidentiality may be lost where personally identifiable data have been contributed, though this is not anticipated. There are no other known risks to your participation.</p> </div> <p> </p> <p><em>This study is funded by The Sloan Foundation. The project researcher, Dr. Eric A. Jensen (</em>ej2021@illinois.edu<em>), and principal investigator, Daniel S. Katz</em> (dskatz@illinois.edu),<em> are based at the National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign.</em></p> <p> </p> <p><strong>Are you currently located in the European Economic Area or the United Kingdom? </strong></p> <p>€ Yes <em>[Form to automatically display the GDPR section that follows and record the answers to the questions as indicated, if selected]</em></p> <p>€ No <em>[Form to automatically skip the GDPR section]</em></p> <p> </p> <p><strong>General Data Protection Regulation (GDPR) Notice/Consent</strong></p> <p>The University of Illinois <a href="https://www.vpaa.uillinois.edu/resources/web_privacy">System Privacy Statement</a> and <a href="https://www.vpaa.uillinois.edu/resources/web_privacy/supplemental_web_privacy_notice">Supplemental Privacy Notice for certain persons in the European Economic Area and the United Kingdom</a> describe in detail how the University processes personal information.</p> <p>Your personal information will be collected for the purpose of research as previously described in this informed consent notice.</p> <p><a name="_Hlk87427727"></a>In addition, your personal information will be processed outside of the European Economic Area and the United Kingdom on University of Illinois servers, other collaborating university servers, and/or with cloud storage services hosted by third parties.</p> <p><strong>I consent to the processing of my personal information for the purpose of research as set forth in this informed consent notice. I understand that I may withdraw my consent at any time, but doing so will not affect the processing of my personal information before my withdrawal of consent.</strong></p> <p>€ Yes</p> <p>€ No</p> <p><strong><u>Research Participation Consent</u></strong></p> <p><strong>I have read and understand the above consent form, I certify that I am 18 years old or older and, by clicking the submit button to enter the survey, I indicate my willingness to voluntarily take part in the study.</strong></p> <p> </p> <p><strong>The University of Illinois System Privacy Statement </strong>(<a href="https://www.vpaa.uillinois.edu/resources/web_privacy">https://www.vpaa.uillinois.edu/resources/web_privacy</a>) and University of Illinois Supplemental Privacy Notice for certain persons in the European Economic Area and the United Kingdom (<a href="http://go.uillinois.edu/GDPR">http://go.uillinois.edu/GDPR</a>) describe in detail how the University processes personal information.</p> <p>In just a minute, I will ask if you consent to my interviewing you and collecting your personal information for the purpose of research as set forth in the Informed Consent Notice I previously emailed to you. If you decide to consent, you may withdraw your consent at any time, but doing so will not affect the processing of your personal information before withdrawing your consent.</p> <p>In addition, your personal information will be processed outside of the European Economic Area and the United Kingdom on University of Illinois servers, other collaborating university servers, and/or with cloud storage services hosted by third parties.</p> <p><strong>Do you have any questions about participating in this study?</strong></p> <p>o Yes</p> <p>o No</p> <p><strong>Do you have any questions about how I will process your personal information?</strong></p> <p>o Yes</p> <p>o No</p> <p><strong>Do you consent to participating in this research and to allowing me to process your personal information for the purpose of my research?</strong></p> <p>o Yes</p> <p>o No</p> <p> </p>
    Description

    Research software is increasingly recognized as critical infrastructure in contemporary science. Research software spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. Research funders have developed programs, initiatives and policies to bolster research software’s role. However, there has been no empirical study of how research funders prioritize support for research software. This information is needed to clarify where current funder support is concentrated and where strategic gaps may exist. Here, we present data from a survey of research software funders (n=36) from around the world. The survey explored these funders’ priorities, finding a strong emphasis on developing skills, software sustainability, embedding open science, building community and collaboration, advancing research software funding, increasing software visibility and use, innovation and security.

    Methods

    This research was carried out using a survey combining qualitative and quantitative items. The survey was designed to investigate how research software funders support research software’s sustainability and impact.

    The study was reviewed and given an exempt determination by the University of Illinois Urbana-Champaign Institutional Review Board (no. 24374).

    Survey design

    The survey designed for this study began by collecting profile information, including institutional affiliation and job title. The survey gathered information about respondents’ organization’s initiatives, policies, or programs to support research software. The range of questions yielded too much data for one article. In this article, we focus exclusively on the results generated via an open-ended question asking about the top priorities for the respondents’ organizations’ support for research software: “What are your organization's top priorities related to research software?”. Four open-response text boxes were provided for respondents to indicate and list these priorities.

    Sampling

    This survey was aimed at international research funders, including governmental and non-governmental (e.g., philanthropic) funders. A list of contacts to invite to participate in this survey was created based on participation in the Research Software Association (ReSA) and responsibility for research software funding known to the authors. This initial list of people was refined, with removals based on individuals having moved to unrelated professional roles or being unavailable long-term, for example, due to personal issues.

    The final, refined contact list comprised 71 people. After removing individuals when a member of their organization already provided a complete answer or when the person turned out to no longer be working on a relevant topic or to be otherwise unavailable (total of n=30), 41 people remained. Five of these individuals did not complete the survey, while 36 people (representing 30 research funding organizations) did, yielding a response rate of 87.8%. Fully completed survey responses were not required for individuals to be retained in the sample, resulting in varied sample bases across survey questions.

    The sample includes research funders in North and South America, Europe, Oceania and Asia, but over-represents North America and European funder representatives. Some participating funders cover a broad spectrum of disciplines, while others focus on a particular domain such as social science, health, environment, physical sciences or humanities.

    Continent

    Count

    North America

    15

    South America

    4

    Europe

    12

    Oceania

    3

    Asia

    1

    The respondents represented research funders supported by governmental (n=26), philanthropic (n=6) and corporate (n=1) resources.

    Respondents’ job titles span the following categories: Senior Leadership and Executive, such as a Vice President of Strategy; Program and Project Management, such as Senior Program Manager; Planning and Business Development; Scientific, Technical and IT, such as Scientific Information Lead.

    Most respondents 72.7% (n=24) answered ‘Yes’ to the question, “Has your organization established any policies, initiatives or programs aimed at supporting research software?”, while 18.2% (n=6) said ‘No’ and 9.1% (n=3) ‘Unsure’.

    Data collection, management and analysis

    Data collection took place from December 2023 to May 2024. The mean completion time for the detailed survey was 28 minutes and 13 seconds.

    The data were cleaned and prepared for analysis by removing any identifiable respondent details. The data analysis process followed a standard thematic qualitative analysis approach (e.g., Jensen & Laurie, 2016). This involved first identifying themes and organizing the data accordingly. Dimensions of each theme were identified where relevant. Then data extracts were selected from the survey responses associated with each theme and theme dimension.

    Additional data: Evolving funding strategies for research software: Insights from an international survey of research funders

    Data were uploaded in December 2024 to support another paper drawing on the same overall survey data. This one is entitled: 'Evolving funding strategies for research software: Insights from an international survey of research funders'. The survey data for this upload were generated using the following survey items.

    Variable

    Survey Item

    Response Options

    Policies, initiatives, or programs aimed at supporting research software

    “Has your organization established any policies, initiatives or programs aimed at supporting research software?”
    (This could include grants, fellowships, funding policies, conference funding, or other kinds of support aimed at bolstering the sustainability or impact of research software)

    Yes, No, Unsure

    (If ‘Yes’, then the next question was asked)

    Number of policies or programs to be reported

    “How many of your organization’s policies, initiatives or programs to support research software are you familiar with?”

    1, 2, 3, 4, 5+

    The following questions were asked for each policy, initiative, or program

    Name of policy or program

    “Please name the policy, initiative or program (starting with the one you are most familiar with):”

    [Text line]

    Status of policy or program

    “What is the status of this policy, initiative or program?”

    Completed/closed, In progress/open, Other (please specify)

    Link(s)/description

    “Please provide link(s) to the policy, initiative or program, upload or email to [the researcher’s contact details].”
    “Link(s)/Description:”
    (If there is no documentation available, please describe it here:)

    [Textarea], [File upload]

    Type of policy or program

    “Which of the following best describes the policy, initiative or program you named above?”

    Funding program, Policy that affects funding decision-making or outcomes (funder side), Policy that affects funding applicants or recipients (applicant/awardee side), Other (please specify)

    If ‘Funding program’ was selected in the previous question, then the next question was asked

    Type of funding

    “Which of the following best describes the available funding?”

    Funding that includes research software, Dedicated funding only for research software, Other (please specify)

    For all categories of policy, initiative or program, the following questions were asked.

    Problem(s) addressed

    “Please summarize the problem(s) this policy, initiative or program is aiming to address from your organization’s perspective:”

    [Text Area]

    Perceived level of program success

    “What factors have contributed to its success or lack of success?”

    Very successful, Successful, Neutral, Unsuccessful, Very unsuccessful, Not applicable / No opinion

  11. u

    OM-OR Conference Value Survey Dataset

    • researchdata.cab.unipd.it
    Updated 2023
    + more versions
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    Antonio Cavallin Toscani; Atalay Atasu; Luk N. Van Wassenhove; Andrea Vinelli (2023). OM-OR Conference Value Survey Dataset [Dataset]. http://doi.org/10.5281/zenodo.8256528
    Explore at:
    Dataset updated
    2023
    Dataset provided by
    Zenodo
    Authors
    Antonio Cavallin Toscani; Atalay Atasu; Luk N. Van Wassenhove; Andrea Vinelli
    Description

    This dataset contains the findings of a global survey conducted with the members of 4 international academic societies from the field of Operations Management & Operations Research (INFORMS, MSOM, POMS, EurOMA) on how scholars perceive the value of in-person and virtual conferences.

    The dataset is provided in both .csv and .xlsx formats.

    The dataset is linked to the article below, where all the details regarding data collection and analysis can be found:

    Cavallin Toscani, A. et Al. (2023). In-Person or Virtual? What Will Operations Management / Research Conferences Look Like?. INSEAD Working Paper No. 2023/07/TOM Available at SSRN: https://ssrn.com/abstract=4374755 or http://dx.doi.org/10.2139/ssrn.4374755

  12. m

    Replication data for the article: How Party-Voter Linkages Increase...

    • data.mendeley.com
    Updated Mar 21, 2018
    + more versions
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    Koba Turmanidze (2018). Replication data for the article: How Party-Voter Linkages Increase Partisanship in Georgia [Dataset]. http://doi.org/10.17632/hgdfn5ctmt.1
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    Dataset updated
    Mar 21, 2018
    Authors
    Koba Turmanidze
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Political polls carried out by the Caucasus Research Resource Centers Georgia (CRRC-Georgia) on behalf of the National Democratic Institute for International Affairs (NDI) in 2012 and 2016. Using these nationally representative survey data, the article combines observational and quasi-experimental research designs and shows significant impact of party-voter linkages on partisanship. Moreover, party contacts benefit the incumbent as well as for the opposition. In practice, this means more people voting in elections, as well as more people voting for each of the two opposed camps. While this effect is not likely to be lasting, over time party-voter linkages could lead to both increased competitiveness of elections and a more institutionalized party system.

  13. g

    Looking for data (Expert interviews)

    • search.gesis.org
    + more versions
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    Friedrich, Tanja, Looking for data (Expert interviews) [Dataset]. https://search.gesis.org/research_data/SDN-10.7802-1.1943
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    Dataset provided by
    GESIS search
    GESIS, Köln
    Authors
    Friedrich, Tanja
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Description

    These interview data are part of the project "Looking for data: information seeking behaviour of survey data users", a study of secondary data users’ information-seeking behaviour. The overall goal of this study was to create evidence of actual information practices of users of one particular retrieval system for social science data in order to inform the development of research data infrastructures that facilitate data sharing. In the project, data were collected based on a mixed methods design. The research design included a qualitative study in the form of expert interviews and – building on the results found therein – a quantitative web survey of secondary survey data users. For the qualitative study, expert interviews with six reference persons of a large social science data archive have been conducted. They were interviewed in their role as intermediaries who provide guidance for secondary users of survey data. The knowledge from their reference work was expected to provide a condensed view of goals, practices, and problems of people who are looking for survey data. The anonymized transcripts of these interviews are provided here. They can be reviewed or reused upon request. The survey dataset from the quantitative study of secondary survey data users is downloadable through this data archive after registration. The core result of the Looking for data study is that community involvement plays a pivotal role in survey data seeking. The analyses show that survey data communities are an important determinant in survey data users' information seeking behaviour and that community involvement facilitates data seeking and has the capacity of reducing problems or barriers. The qualitative part of the study was designed and conducted using constructivist grounded theory methodology as introduced by Kathy Charmaz (2014). In line with grounded theory methodology, the interviews did not follow a fixed set of questions, but were conducted based on a guide that included areas of exploration with tentative questions. This interview guide can be obtained together with the transcript. For the Looking for data project, the data were coded and scrutinized by constant comparison, as proposed by grounded theory methodology. This analysis resulted in core categories that make up the "theory of problem-solving by community involvement". This theory was exemplified in the quantitative part of the study. For this exemplification, the following hypotheses were drawn from the qualitative study: (1) The data seeking hypotheses: (1a) When looking for data, information seeking through personal contact is used more often than impersonal ways of information seeking. (1b) Ways of information seeking (personal or impersonal) differ with experience. (2) The experience hypotheses: (2a) Experience is positively correlated with having ambitious goals. (2b) Experience is positively correlated with having more advanced requirements for data. (2c) Experience is positively correlated with having more specific problems with data. (3) The community involvement hypothesis: Experience is positively correlated with community involvement. (4) The problem solving hypothesis: Community involvement is positively correlated with problem solving strategies that require personal interactions.

  14. Data from: Voice of the People Millennium Survey, 2000

    • icpsr.umich.edu
    • abacus.library.ubc.ca
    ascii, delimited, sas +2
    Updated Aug 18, 2009
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    Gallup International, Inc. (2009). Voice of the People Millennium Survey, 2000 [Dataset]. http://doi.org/10.3886/ICPSR24661.v1
    Explore at:
    ascii, delimited, sas, spss, stataAvailable download formats
    Dataset updated
    Aug 18, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Gallup International, Inc.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/24661/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/24661/terms

    Time period covered
    2000
    Area covered
    Paraguay, Denmark, Netherlands, Finland, Malaysia, Pakistan, France, Taiwan, Cameroon, Switzerland
    Description

    This annual survey, fielded August to October 1999, was conducted in over 50 countries to solicit public opinion on social and political issues. Respondents were asked to give their opinion on the environment. Questions included the overall state that the environment is in, if the government has done too much, too little, or just the right amount concerning the environment, and the biggest threat to the environment for future generations. They were also queried on whether they thought their countries elections were free and fair, and what words best describe their perception of the government. Questions concerning religion were also asked. These focused on whether there is only one true religion, many true religions, or no essential truth in any religion, how important God is in their life, and praying and meditation. Respondents were asked to give their opinion on women's rights. Questions included whether they thought women have equal rights in their country, whether they thought education is more important for boys or girls, whether women need to have children in order to feel fulfilled, and whether women in advanced countries must insist more for the rights of women in the developing world. They were also asked to give their opinion on the issue of crime. They were asked how concerned they were about the level of crime in their country, if crime had increased or decreased in the last five years, how well the government was handling crime, and if they were for or against the death penalty. They were also asked what they thought matters most in life, and what they thought about the United Nations. Questions pertaining to human rights were also asked, such as whether discrimination based on sex, color, language, religion, or political opinion was taking place in their country. They were also asked if they thought that the use of torture was being documented, how effective stricter international laws would be in reducing torture, how effective more prosecutions of those suspected of torture would be in eliminating it, how effective greater public awareness of the incidence of torture would be in helping eliminate it, and how effective a grassroots campaign to eliminate torture would be. Respondents were also queried on the year 2000 computer problem. Demographics include sex, age, education, occupation, marital status, children under 15 living in household, religious denomination, religiosity, and region.

  15. Hybrid Event Audience Poll App Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Hybrid Event Audience Poll App Market Research Report 2033 [Dataset]. https://dataintelo.com/report/hybrid-event-audience-poll-app-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hybrid Event Audience Poll App Market Outlook



    According to our latest research, the global Hybrid Event Audience Poll App market size in 2024 stands at USD 1.12 billion. The market is projected to reach USD 3.76 billion by 2033, growing at a robust CAGR of 14.2% during the forecast period. This remarkable growth is driven by the increasing adoption of hybrid event formats, as organizations and event organizers strive to enhance participant engagement and collect real-time feedback across both physical and virtual audiences.




    One of the primary growth factors fueling the Hybrid Event Audience Poll App market is the accelerating shift toward hybrid and virtual events. The COVID-19 pandemic fundamentally transformed the events industry, prompting a surge in demand for digital solutions that bridge the gap between in-person and remote attendees. As organizations seek to maximize reach and inclusivity, hybrid event formats have become the new standard, necessitating advanced polling and engagement tools. Hybrid Event Audience Poll Apps enable real-time interaction, instant feedback, and data-driven decision-making, which are now essential for successful event outcomes. The integration of interactive features such as live polls, Q&A sessions, and surveys not only boosts attendee participation but also offers valuable analytics for organizers, further driving market expansion.




    Another significant driver is the technological advancements in cloud computing and mobile applications. The proliferation of high-speed internet and the widespread use of smartphones have made it easier for event organizers to deploy audience poll apps that work seamlessly across multiple platforms. Cloud-based solutions, in particular, offer scalability, flexibility, and cost-effectiveness, allowing organizations of all sizes to access sophisticated polling features without heavy upfront investments. Moreover, the integration of artificial intelligence and machine learning into these apps is enabling more personalized and adaptive engagement strategies, which enhances user experience and increases the value proposition of Hybrid Event Audience Poll Apps in the market.




    Additionally, the growing emphasis on data-driven event management is propelling the market forward. Event organizers are increasingly recognizing the importance of collecting and analyzing attendee feedback to improve event quality, tailor content, and demonstrate ROI to stakeholders. Hybrid Event Audience Poll Apps provide comprehensive analytics dashboards, real-time reporting, and actionable insights, empowering organizers to make informed decisions. The ability to segment data by audience type, session, or engagement level allows for targeted follow-ups and improved future planning. This analytical capability is becoming a critical differentiator, especially in highly competitive sectors such as corporate events, education, and exhibitions.




    Regionally, North America continues to dominate the Hybrid Event Audience Poll App market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of major technology providers, high digital literacy, and a culture of early adoption contribute to North America’s leadership. Europe is witnessing steady growth driven by increased investments in digital infrastructure and the rise of hybrid corporate and educational events. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, a burgeoning events industry, and expanding internet penetration. Latin America and the Middle East & Africa are gradually catching up as event organizers in these regions embrace digital transformation and hybrid event formats.



    Component Analysis



    The Hybrid Event Audience Poll App market by component is segmented into software and services, each playing a pivotal role in driving overall market growth. The software segment, which includes standalone polling applications, integrated event management platforms, and mobile apps, holds the largest share of the market. The demand for intuitive, feature-rich, and scalable software solutions is rising as event organizers seek to deliver seamless experiences to both in-person and virtual attendees. These software solutions offer functionalities such as live polling, instant feedback, real-time analytics, and integration with other event technologies, making them indispensable for modern hybrid events. The trend toward cloud-based software furth

  16. NCHS Survey Data Linked to Centers for Medicare & Medicaid Services (CMS)...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    html
    Updated Apr 21, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). NCHS Survey Data Linked to Centers for Medicare & Medicaid Services (CMS) Medicare Data Files [Dataset]. https://data.virginia.gov/dataset/nchs-survey-data-linked-to-centers-for-medicare-medicaid-services-cms-medicare-data-files
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    NCHS has linked data from various surveys with Medicare program enrollment and health care utilization and expenditure data from the Centers for Medicare & Medicaid Services (CMS). Linkage of the NCHS survey participants with the CMS Medicare data provides the opportunity to study changes in health status, health care utilization and costs, and prescription drug use among Medicare enrollees. Medicare is the federal health insurance program for people who are 65 or older, certain younger people with disabilities, and people with End-Stage Renal Disease.

  17. u

    People in Germany 2021 - Experiment

    • fdr.uni-hamburg.de
    dta
    Updated Jun 5, 2024
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    Endtricht, Rebecca (2024). People in Germany 2021 - Experiment [Dataset]. http://doi.org/10.25592/uhhfdm.14358
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    dtaAvailable download formats
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    Universität Hamburg
    Authors
    Endtricht, Rebecca
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    This data set contains a subset of variables and respondents of the representative population survey "People in Germany 2021". A survey experiment integrated into the questionnaire explored the role of social crises and threat perception in fostering hostility towards out-groups. Participants were randomly assigned to one of four groups (splits 1 to 4), with three groups receiving different threat scenarios presented as conspiracy theories related to diseases, economic crises, and wars. The fourth group serves as a control group. Following the treatments, respondents’ general attitudes toward various ethnic and religious groups were assessed using a ‘feeling thermometer’, aiming to investigate the emergence of group-related intolerance as a consequence of perceived threats during crises. The data set contains all variables that were part of the experiment as well as control variables (age, gender, educational level, migration background, religious affiliation, survey mode, region of living, and political self-positioning on the left-right-scale.

    Information on methodology, survey design and sampling of the survey can be found in the technical report: http://doi.org/10.25592/uhhfdm.12244

  18. A

    ‘Young People Survey’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 12, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Young People Survey’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-young-people-survey-04b9/01af2b48/?iid=033-554&v=presentation
    Explore at:
    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Young People Survey’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/miroslavsabo/young-people-survey on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    Introduction

    In 2013, students of the Statistics class at "https://fses.uniba.sk/en/">FSEV UK were asked to invite their friends to participate in this survey.

    • The data file (responses.csv) consists of 1010 rows and 150 columns (139 integer and 11 categorical).
    • For convenience, the original variable names were shortened in the data file. See the columns.csv file if you want to match the data with the original names.
    • The data contain missing values.
    • The survey was presented to participants in both electronic and written form.
    • The original questionnaire was in Slovak language and was later translated into English.
    • All participants were of Slovakian nationality, aged between 15-30.

    The variables can be split into the following groups:

    • Music preferences (19 items)
    • Movie preferences (12 items)
    • Hobbies & interests (32 items)
    • Phobias (10 items)
    • Health habits (3 items)
    • Personality traits, views on life, & opinions (57 items)
    • Spending habits (7 items)
    • Demographics (10 items)

    Research questions

    Many different techniques can be used to answer many questions, e.g.

    • Clustering: Given the music preferences, do people make up any clusters of similar behavior?
    • Hypothesis testing: Do women fear certain phenomena significantly more than men? Do the left handed people have different interests than right handed?
    • Predictive modeling: Can we predict spending habits of a person from his/her interests and movie or music preferences?
    • Dimension reduction: Can we describe a large number of human interests by a smaller number of latent concepts?
    • Correlation analysis: Are there any connections between music and movie preferences?
    • Visualization: How to effectively visualize a lot of variables in order to gain some meaningful insights from the data?
    • (Multivariate) Outlier detection: Small number of participants often cheats and randomly answers the questions. Can you identify them? Hint: [Local outlier factor][1] may help.
    • Missing values analysis: Are there any patterns in missing responses? What is the optimal way of imputing the values in surveys?
    • Recommendations: If some of user's interests are known, can we predict the other? Or, if we know what a person listen, can we predict which kind of movies he/she might like?

    Past research

    • (in slovak) Sleziak, P. - Sabo, M.: Gender differences in the prevalence of specific phobias. Forum Statisticum Slovacum. 2014, Vol. 10, No. 6. [Differences (gender + whether people lived in village/town) in the prevalence of phobias.]

    • Sabo, Miroslav. Multivariate Statistical Methods with Applications. Diss. Slovak University of Technology in Bratislava, 2014. [Clustering of variables (music preferences, movie preferences, phobias) + Clustering of people w.r.t. their interests.]

    Questionnaire

    MUSIC PREFERENCES

    1. I enjoy listening to music.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    2. I prefer.: Slow paced music 1-2-3-4-5 Fast paced music (integer)
    3. Dance, Disco, Funk: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    4. Folk music: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    5. Country: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    6. Classical: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    7. Musicals: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    8. Pop: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    9. Rock: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    10. Metal, Hard rock: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    11. Punk: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    12. Hip hop, Rap: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    13. Reggae, Ska: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    14. Swing, Jazz: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    15. Rock n Roll: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    16. Alternative music: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    17. Latin: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    18. Techno, Trance: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    19. Opera: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)

    MOVIE PREFERENCES

    1. I really enjoy watching movies.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    2. Horror movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    3. Thriller movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    4. Comedies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    5. Romantic movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    6. Sci-fi movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    7. War movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    8. Tales: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    9. Cartoons: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    10. Documentaries: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    11. Western movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)
    12. Action movies: Don't enjoy at all 1-2-3-4-5 Enjoy very much (integer)

    HOBBIES & INTERESTS

    1. History: Not interested 1-2-3-4-5 Very interested (integer)
    2. Psychology: Not interested 1-2-3-4-5 Very interested (integer)
    3. Politics: Not interested 1-2-3-4-5 Very interested (integer)
    4. Mathematics: Not interested 1-2-3-4-5 Very interested (integer)
    5. Physics: Not interested 1-2-3-4-5 Very interested (integer)
    6. Internet: Not interested 1-2-3-4-5 Very interested (integer)
    7. PC Software, Hardware: Not interested 1-2-3-4-5 Very interested (integer)
    8. Economy, Management: Not interested 1-2-3-4-5 Very interested (integer)
    9. Biology: Not interested 1-2-3-4-5 Very interested (integer)
    10. Chemistry: Not interested 1-2-3-4-5 Very interested (integer)
    11. Poetry reading: Not interested 1-2-3-4-5 Very interested (integer)
    12. Geography: Not interested 1-2-3-4-5 Very interested (integer)
    13. Foreign languages: Not interested 1-2-3-4-5 Very interested (integer)
    14. Medicine: Not interested 1-2-3-4-5 Very interested (integer)
    15. Law: Not interested 1-2-3-4-5 Very interested (integer)
    16. Cars: Not interested 1-2-3-4-5 Very interested (integer)
    17. Art: Not interested 1-2-3-4-5 Very interested (integer)
    18. Religion: Not interested 1-2-3-4-5 Very interested (integer)
    19. Outdoor activities: Not interested 1-2-3-4-5 Very interested (integer)
    20. Dancing: Not interested 1-2-3-4-5 Very interested (integer)
    21. Playing musical instruments: Not interested 1-2-3-4-5 Very interested (integer)
    22. Poetry writing: Not interested 1-2-3-4-5 Very interested (integer)
    23. Sport and leisure activities: Not interested 1-2-3-4-5 Very interested (integer)
    24. Sport at competitive level: Not interested 1-2-3-4-5 Very interested (integer)
    25. Gardening: Not interested 1-2-3-4-5 Very interested (integer)
    26. Celebrity lifestyle: Not interested 1-2-3-4-5 Very interested (integer)
    27. Shopping: Not interested 1-2-3-4-5 Very interested (integer)
    28. Science and technology: Not interested 1-2-3-4-5 Very interested (integer)
    29. Theatre: Not interested 1-2-3-4-5 Very interested (integer)
    30. Socializing: Not interested 1-2-3-4-5 Very interested (integer)
    31. Adrenaline sports: Not interested 1-2-3-4-5 Very interested (integer)
    32. Pets: Not interested 1-2-3-4-5 Very interested (integer)

    PHOBIAS

    1. Flying: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    2. Thunder, lightning: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    3. Darkness: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    4. Heights: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    5. Spiders: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    6. Snakes: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    7. Rats, mice: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    8. Ageing: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    9. Dangerous dogs: Not afraid at all 1-2-3-4-5 Very afraid of (integer)
    10. Public speaking: Not afraid at all 1-2-3-4-5 Very afraid of (integer)

    HEALTH HABITS

    1. Smoking habits: Never smoked - Tried smoking - Former smoker - Current smoker (categorical)
    2. Drinking: Never - Social drinker - Drink a lot (categorical)
    3. I live a very healthy lifestyle.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)

    PERSONALITY TRAITS, VIEWS ON LIFE & OPINIONS

    1. I take notice of what goes on around me.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    2. I try to do tasks as soon as possible and not leave them until last minute.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    3. I always make a list so I don't forget anything.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    4. I often study or work even in my spare time.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    5. I look at things from all different angles before I go ahead.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    6. I believe that bad people will suffer one day and good people will be rewarded.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    7. I am reliable at work and always complete all tasks given to me.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    8. I always keep my promises.: Strongly disagree 1-2-3-4-5 Strongly agree (integer)
    9. **I can fall for someone very quickly and then
  19. Springtide Survey of Young People and Civic Life, 2024

    • thearda.com
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    The Association of Religion Data Archives, Springtide Survey of Young People and Civic Life, 2024 [Dataset]. http://doi.org/10.17605/OSF.IO/ATYBS
    Explore at:
    Dataset provided by
    Association of Religion Data Archives
    Dataset funded by
    Springtide Research Institute
    Description

    Each year, "https://www.springtideresearch.org" Target="_blank">Springtide Research Institute conducts an online national survey to explore a different facet of young people's religious and spiritual lives. In 2024, Springtide turned its attention to exploring young people's experiences of and opinions about civic engagement and politics. The survey questionnaire included 72 questions and was completed by 6,669 young people between the ages of 13 and 25. Respondents answered questions about political identities, behaviors, and engagement, as well as religious identity, beliefs, and practices.

  20. Voice of the People End of Year Survey, 2013

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 17, 2015
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    WIN/Gallup International Association (2015). Voice of the People End of Year Survey, 2013 [Dataset]. http://doi.org/10.3886/ICPSR35202.v1
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    stata, ascii, sas, spss, delimited, rAvailable download formats
    Dataset updated
    Apr 17, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    WIN/Gallup International Association
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/35202/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/35202/terms

    Time period covered
    2013
    Area covered
    Finland, Iceland, China (Peoples Republic), France, Colombia, United Kingdom, Pakistan, Afghanistan, Ukraine, Japan
    Description

    The Voice of the People Survey Series is WIN/Gallup International Association's End of Year survey and is a global study that collects the public's view on the challenges that the world faces today. Ongoing since 1977, the purpose of WIN/Gallup International's End of Year survey is to provide a platform for respondents to speak out concerning government and corporate policies. The Voice of the People, End of Year Surveys for 2013, fielded September to December 2013, were conducted in 66 countries to solicit public opinion on social and political issues. Respondents were asked to give their opinion in regards to how the economic situation in their country would fluctuate over the next year, as well as rate their personal happiness. Additional questions included what respondents felt was the most important problem facing the world today, and whether religion plays a positive or negative role in their country. Respondents were also queried on what country they would like to live in, whether more women politicians would make the world a better place, which country they believe is the greatest threat to world peace, and corruption within their country. Demographic information includes age, income, education level, employment status, religious affiliation, and household family composition.

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ReportLinker (2024). Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in France 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/5e84496e338b1f6a41d7ae72547781d3df183214
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Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in France 2024 - 2028

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Dataset updated
Apr 8, 2024
Dataset authored and provided by
ReportLinker
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Area covered
France
Description

Forecast: Number of Persons Employed in Market Research and Public Opinion Polling Sector in France 2024 - 2028 Discover more data with ReportLinker!

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