Critical Realignments and the Public Opinion Poll 435
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Political Socialization, Public Opinion, and Polling
Political Socialization, Public Opinion, and Polling asic Tenants of American olitical Culture iberty/Freedom People should be free to live their lives with minimal governmental interference quality Political, legal, & of opportunity, but not economic equality ndividualism Responsibility for own decisions emocracy Consent of the governed Majority rule, with minority rights Citizen responsibilities (voting, jury duty, etc.) olitical Culture vs. Ideology Most Americans share common beliefs in he democratic foundation of government culture) yet have differing opinions on the proper role & scope of government ideology) olitical Socialization Process through which an individual acquires particular political orientations, beliefs, and values at factors influence political opinion mation? Family #1 source for political identification Between 60-70% of all children agree with their parents upon reaching adulthood. If one switches his/her party affiliation it usually goes from Republican/Democrat to independent hat factors influence political opinion mation? School/level of education “Building good citizens”- civic education reinforces views about participation Pledge of Allegiance Volunteering Civic pride is nation wide Informed student-citizens are more likely to participate/vote as adults Voting patterns based on level of educational attainment hat factors influence political opinion rmation? Peer group/occupation Increases in importance during teen years Occupational influences hat factors influence political opinion mation? Mass media Impact -
10 Questions Opinion Polls
Questions you might have on 10opinion polls 1. What is an opinion poll? An opinion poll is a survey carried out to measure views on a certain topic within a specific group of people. For example, the topic may relate to who Kenyans support in the presidential race, in which case, the group of people interviewed will be registered voters. 2. How are interviewees for an opinion poll selected? The group of people interviewed for an opinion poll is called a sample. As the name suggests, a sample is a group of people that represents the total population whose opinion is being surveyed. In a scientific opinion poll, everyone has an equal chance of being interviewed. 3. So how come I have never been interviewed for an opinion poll? You have the same chance of being polled as anyone else living in Kenya. However, chances of this are very small and are estimated at about 1 in 14,000. This is because there are approximately 14 million registered voters in Kenya and, for practical and cost reasons, usually only between 1,000 and 2,000 people are interviewed for each survey carried out. 4. How can such a small group be representative of the entire population? In order to ensure that the sample/survey group is representative of the population, the surveyors must ensure that the group reflects the characteristics of the whole. For instance, to get a general idea of who might win the Kenyan presidential election, only the views of registered voters in Kenya will be surveyed as these are the people who will be able to influence the election. -
Random Selection in Politics
Random selection in politics Lyn Carson and Brian Martin Published in 1999 by Praeger Publishers, Westport, CT Available for purchase from Praeger This is the text submitted to Praeger in February 1999. It differs from the published version in minor ways, including formatting, copy-editing changes, page numbering (100 pages instead of 161) and omission of the index. This version prepared August 2008 Contents 1. Introduction 1 2. Random selection in decision making 10 3. Direct democracy 26 4. Citizen participation without random selection 36 5. Citizen participation with random selection: the early days 43 6. Citizen participation with random selection: yesterday, today, and tomorrow 52 7. Sortition futures 65 8. Strategies 76 Appendix: Examples of citizen participation 84 Bibliography 93 Acknowledgments Brownlea, John Burnheim, Ned Crosby, Many people we’ve talked to find the Jim Dator, Mary Lane, Marcus Schmidt, idea of random selection in politics and Stuart White. Their input was unnatural and unwelcome. This didn’t valuable even when we decided on an deter us! Fortunately, there were a few alternative approach. Helpful comments enthusiasts who got and kept us going. were also received from Ted Becker, Alan Davies, Fred Emery, and Merrelyn Stephen Healy, Lars Klüver, and Ken Emery provided the original inspiration Russell. Others who provided many years ago as well as ongoing information are acknowledged in the conversations. text. The process of obtaining comments Ted Becker encouraged us to write has been stimulating because not all this book. On drafts, we received readers go with us all the way on extensive comments from Arthur randomness. -
13 Collecting Statistical Data
13 Collecting Statistical Data 13.1 The Population 13.2 Sampling 13.3 Random Sampling 1.1 - 1 • Polls, studies, surveys and other data collecting tools collect data from a small part of a larger group so that we can learn something about the larger group. • This is a common and important goal of statistics: Learn about a large group by examining data from some of its members. 1.1 - 2 Data collections of observations (such as measurements, genders, survey responses) 1.1 - 3 Statistics is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data 1.1 - 4 Population the complete collection of all individuals (scores, people, measurements, and so on) to be studied; the collection is complete in the sense that it includes all of the individuals to be studied 1.1 - 5 Census Collection of data from every member of a population Sample Subcollection of members selected from a population 1.1 - 6 A Survey • The practical alternative to a census is to collect data only from some members of the population and use that data to draw conclusions and make inferences about the entire population. • Statisticians call this approach a survey (or a poll when the data collection is done by asking questions). • The subgroup chosen to provide the data is called the sample, and the act of selecting a sample is called sampling. 1.1 - 7 A Survey • The first important step in a survey is to distinguish the population for which the survey applies (the target population) and the actual subset of the population from which the sample will be drawn, called the sampling frame. -
Summary of Human Subjects Protection Issues Related to Large Sample Surveys
Summary of Human Subjects Protection Issues Related to Large Sample Surveys U.S. Department of Justice Bureau of Justice Statistics Joan E. Sieber June 2001, NCJ 187692 U.S. Department of Justice Office of Justice Programs John Ashcroft Attorney General Bureau of Justice Statistics Lawrence A. Greenfeld Acting Director Report of work performed under a BJS purchase order to Joan E. Sieber, Department of Psychology, California State University at Hayward, Hayward, California 94542, (510) 538-5424, e-mail [email protected]. The author acknowledges the assistance of Caroline Wolf Harlow, BJS Statistician and project monitor. Ellen Goldberg edited the document. Contents of this report do not necessarily reflect the views or policies of the Bureau of Justice Statistics or the Department of Justice. This report and others from the Bureau of Justice Statistics are available through the Internet — http://www.ojp.usdoj.gov/bjs Table of Contents 1. Introduction 2 Limitations of the Common Rule with respect to survey research 2 2. Risks and benefits of participation in sample surveys 5 Standard risk issues, researcher responses, and IRB requirements 5 Long-term consequences 6 Background issues 6 3. Procedures to protect privacy and maintain confidentiality 9 Standard issues and problems 9 Confidentiality assurances and their consequences 21 Emerging issues of privacy and confidentiality 22 4. Other procedures for minimizing risks and promoting benefits 23 Identifying and minimizing risks 23 Identifying and maximizing possible benefits 26 5. Procedures for responding to requests for help or assistance 28 Standard procedures 28 Background considerations 28 A specific recommendation: An experiment within the survey 32 6. -
MRS Guidance on How to Read Opinion Polls
What are opinion polls? MRS guidance on how to read opinion polls June 2016 1 June 2016 www.mrs.org.uk MRS Guidance Note: How to read opinion polls MRS has produced this Guidance Note to help individuals evaluate, understand and interpret Opinion Polls. This guidance is primarily for non-researchers who commission and/or use opinion polls. Researchers can use this guidance to support their understanding of the reporting rules contained within the MRS Code of Conduct. Opinion Polls – The Essential Points What is an Opinion Poll? An opinion poll is a survey of public opinion obtained by questioning a representative sample of individuals selected from a clearly defined target audience or population. For example, it may be a survey of c. 1,000 UK adults aged 16 years and over. When conducted appropriately, opinion polls can add value to the national debate on topics of interest, including voting intentions. Typically, individuals or organisations commission a research organisation to undertake an opinion poll. The results to an opinion poll are either carried out for private use or for publication. What is sampling? Opinion polls are carried out among a sub-set of a given target audience or population and this sub-set is called a sample. Whilst the number included in a sample may differ, opinion poll samples are typically between c. 1,000 and 2,000 participants. When a sample is selected from a given target audience or population, the possibility of a sampling error is introduced. This is because the demographic profile of the sub-sample selected may not be identical to the profile of the target audience / population. -
The Evidence from World Values Survey Data
Munich Personal RePEc Archive The return of religious Antisemitism? The evidence from World Values Survey data Tausch, Arno Innsbruck University and Corvinus University 17 November 2018 Online at https://mpra.ub.uni-muenchen.de/90093/ MPRA Paper No. 90093, posted 18 Nov 2018 03:28 UTC The return of religious Antisemitism? The evidence from World Values Survey data Arno Tausch Abstract 1) Background: This paper addresses the return of religious Antisemitism by a multivariate analysis of global opinion data from 28 countries. 2) Methods: For the lack of any available alternative we used the World Values Survey (WVS) Antisemitism study item: rejection of Jewish neighbors. It is closely correlated with the recent ADL-100 Index of Antisemitism for more than 100 countries. To test the combined effects of religion and background variables like gender, age, education, income and life satisfaction on Antisemitism, we applied the full range of multivariate analysis including promax factor analysis and multiple OLS regression. 3) Results: Although religion as such still seems to be connected with the phenomenon of Antisemitism, intervening variables such as restrictive attitudes on gender and the religion-state relationship play an important role. Western Evangelical and Oriental Christianity, Islam, Hinduism and Buddhism are performing badly on this account, and there is also a clear global North-South divide for these phenomena. 4) Conclusions: Challenging patriarchic gender ideologies and fundamentalist conceptions of the relationship between religion and state, which are important drivers of Antisemitism, will be an important task in the future. Multiculturalism must be aware of prejudice, patriarchy and religious fundamentalism in the global South. -
Indicators for Support for Economic Integration in Latin America
Pepperdine Policy Review Volume 11 Article 9 5-10-2019 Indicators for Support for Economic Integration in Latin America Will Humphrey Pepperdine University, School of Public Policy, [email protected] Follow this and additional works at: https://digitalcommons.pepperdine.edu/ppr Recommended Citation Humphrey, Will (2019) "Indicators for Support for Economic Integration in Latin America," Pepperdine Policy Review: Vol. 11 , Article 9. Available at: https://digitalcommons.pepperdine.edu/ppr/vol11/iss1/9 This Article is brought to you for free and open access by the School of Public Policy at Pepperdine Digital Commons. It has been accepted for inclusion in Pepperdine Policy Review by an authorized editor of Pepperdine Digital Commons. For more information, please contact [email protected], [email protected], [email protected]. Indicators for Support for Economic Integration in Latin America By: Will Humphrey Abstract Regionalism is a common phenomenon among many countries who share similar infrastructures, economic climates, and developmental challenges. Latin America is no different and has experienced the urge to economically integrate since World War II. Research literature suggests that public opinion for economic integration can be a motivating factor in a country’s proclivity to integrate with others in its geographic region. People may support integration based on their perception of other countries’ models or based on how much they feel their voice has political value. They may also fear it because they do not trust outsiders and the mixing of societies that regionalism often entails. Using an ordered probit model and data from the 2018 Latinobarómetro public opinion survey, I find that the desire for a more alike society, opinion on the European Union, and the nature of democracy explain public support for economic integration. -
Public Opinion Survey: Residents of Armenia
Public Opinion Survey: Residents of Armenia February 2021 Detailed Methodology • The survey was conducted on behalf of “International Republican Institute’s” Center for Insights in Survey Research by Breavis (represented by IPSC LLC). • Data was collected throughout Armenia between February 8 and February 16, 2021, through phone interviews, with respondents selected by random digit dialing (RDD) probability sampling of mobile phone numbers. • The sample consisted of 1,510 permanent residents of Armenia aged 18 and older. It is representative of the population with access to a mobile phone, which excludes approximately 1.2 percent of adults. • Sampling frame: Statistical Committee of the Republic of Armenia. Weighting: Data weighted for 11 regional groups, age, gender and community type. • The margin of error does not exceed plus or minus 2.5 points for the full sample. • The response rate was 26 percent which is similar to the surveys conducted in August-September 2020. • Charts and graphs may not add up to 100 percent due to rounding. • The survey was funded by the U.S. Agency for International Development. 2 Weighted (Disaggregated) Bases Disaggregate Disaggregation Category Base Share 18-35 years old n=563 37% Age groups 36-55 years old n=505 34% 56+ years old n=442 29% Male n=689 46% Gender Female n=821 54% Yerevan n=559 37% Community type Urban n=413 27% Rural n=538 36% Primary or secondary n=537 36% Education Vocational n=307 20% Higher n=665 44% Single n=293 19% Marital status Married n=1,059 70% Widowed or divorced n=155 10% Up -
Third Party Election Spending and the Charter
ELECTIONSPENDING AND THE CHARTER 429 LIBERTE, EGALITE, ARGENT: THIRD PARTY ELECTION SPENDING AND THE CHARTER 0 ANDREW GEDDIS Both the federal government and the courts have le gouvernementfederal et /es cours de Justice ont brought about changes in election law. The author apportedes modificationsa la loi electorate.l 'auteur reviews these recent changes In the legal landscape revolt le.r recents changementsdans le cadre legal that surroundelection mies. Inparticular third party entourant/es reg/es electorates, tout particulierement electionspending. Thequestions of "whatrules exist" /es depenseselectorates de tiers. la question,a savoir and "who shall make them" are particularly « quelles sont les reg/es qui existent II et « qui les importantto the discussionas this area of law tries to me/Ira en place ,, est particulierement importante reconcile individual interestsin liberty and equality dans celle discussionetant donne que ce domainedu in a democracy.The trio of SupremeC our/ of Canada droit teme de reconcilierles interets individuelset la decisions, Libman v. Quebec (A.G.), Thomson notion de liberte et d'egalite d'une democralie.Les Newspapersv. Canada (A.G.) and Sauve v. Canada trois dkisions de la Cour supreme du Canada. (Chief Electoral Officer), reveal ambiguity In the notamment Libman c. le Quebec (A.G.). Thomson Court's rationalefor limiting Individual liberty at Newspapersc. le Canada (A.G.)et Sauve c. le Canada electiontime. Thisambiguity Is broachedIn the recent (Directeur general des elections), manlfestent Supreme Court of Canada case of Harper v. Canada I 'amblg1111erelativement au raisonnementde la Cour (A.G.)where the Courtaccepted that Parliamentmay de limiter la liberte individuellependant un scrutm. -
World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook
ICPSR 3975 World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook Ronald Inglehart et al. University of Michigan Institute for Social Research First ICPSR Version May 2004 Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106 www.icpsr.umich.edu Terms of Use Bibliographic Citation: Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Inglehart, Ronald, et al. WORLD VALUES SURVEYS AND EUROPEAN VALUES SURVEYS, 1999-2001 [Computer file]. ICPSR version. Ann Arbor, MI: Institute for Social Research [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. Request for Information on To provide funding agencies with essential information about use of Use of ICPSR Resources: archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Visit the ICPSR Web site for more information on submitting citations. Data Disclaimer: The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses. Responsible Use In preparing data for public release, ICPSR performs a number of Statement: procedures to ensure that the identity of research subjects cannot be disclosed. -
Capturing the Effects of Public Opinion Polls on Voter Support in the NY 25Th Congressional Election
Rochester Institute of Technology RIT Scholar Works Theses 12-23-2014 Capturing the Effects of Public Opinion Polls on Voter Support in the NY 25th Congressional Election Heather Knappen Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Knappen, Heather, "Capturing the Effects of Public Opinion Polls on Voter Support in the NY 25th Congressional Election" (2014). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Capturing the Effects of Public Opinion Polls on Voter Support in the NY 25th Congressional Election By Heather Knappen A Thesis Submitted in Partial Fulfillment of the Graduation Requirements for the Degree of Master of Science Department of Science, Technology and Public Policy College of Liberal Arts Rochester Institute of Technology Rochester, New York December 23, 2014 II Capturing the Effects of Public Opinion Polls on Voter Support in the NY 25th Congressional Election by Heather Knappen Masters of Science Science, Technology and Public Policy Thesis Submitted in Partial Fulfillment of the Graduation Requirements for the College of Liberal Arts/Public Policy Program at ROCHESTER INSTITUTE OF TECHNOLOGY Rochester, New York June 2014 Submitted by: Heather Knappen Signature Date Accepted by: Ron Hira, Thesis Advisor Department of Public Policy, R.I.T Signature Date Franz Foltz, Committee Member Department of Public Policy, R.I.T Signature Date Eric Hittinger, Committee Member Department of Public Policy, R.I.T Signature Date III Table of Contents Abstract ..........................................................................................................................................