Special Eurobarometer 509 Social Issues

Total Page:16

File Type:pdf, Size:1020Kb

Special Eurobarometer 509 Social Issues Special Eurobarometer 509 Report Social Issues Fieldwork November - December 2020 Survey requested by the European Commission, Directorate-General for Justice and Consumers and co-ordinated by the Directorate-General for Communication This document does not represent the point of view of the European Commission. The interpretations and opinions contained in it are solely those of the authors. Special Eurobarometer 509 – Wave EB94.2 – Kantar Special Eurobarometer 509 Report Social Issues November - December 2020 Survey conducted by Kantar on behalf of Kantar Belgium at the request of the European Commission, Directorate-General for Employment, Social Affairs and Inclusion Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Media monitoring and Eurobarometer” Unit) Project title Special Eurobarometer 509 – November - December 2020 “Social Issues” Report Linguistic version EN Catalogue number KE-02-21-136-EN-N ISBN 978-92-76-29820-5 doi:10.2767/14984 © European Union, 2021 http://ec.europa.eu/commfrontoffice/publicopinion Social Issues Special Eurobarometer 509 November - December 2020 Report TABLE OF CONTENTS INTRODUCTION 2 KEY FINDINGS 4 I. VIEWS OF PEOPLE ON SOCIAL ISSUES AT EU LEVEL 6 1. Importance of a social Europe 6 2. Decision-making on social issues at EU level 21 II. AWARNESS AND VIEWS ON EUROPEAN PILLAR OF SOCIAL RIGHTS 32 III. VIEWS OF PEOPLE ON THE FUTURE OF SOCIAL EUROPE 41 1. Importance of social rights for the future of Europe 41 2. Actions to be taken by national governments for building the future of Europe 52 3. Actions to be taken by the EU for building the future of Europe 59 4. Europeans’ predictions for the future of Social Europe 69 CONCLUSIONS 73 ANNEXES Technical specifications Questionnaire Tables 1 Social Issues Special Eurobarometer 509 November - December 2020 Report INTRODUCTION Social justice is the foundation of the European Social market economy and is at the heart of our Union.1 It underpins the idea that social fairness and prosperity are the cornerstones for building a resilient society with the highest standards of well-being in the world. All Europeans should have the same opportunities to thrive. Many still struggle to make ends meet or face barriers due to inequalities. Many children and young people, often from disadvantaged socio-economic backgrounds, do not have access to quality education or healthcare. There are still many elderly without access to care services. Inequality is a brake on growth and threatens social cohesion. To address these challenges, the EU institutions jointly proclaimed the European Pillar of Social Rights in November 20172. The Pillar is about delivering new and more effective rights for citizens. It builds upon 20 key principles, structured around three categories: equal opportunities and access to the labour market; fair working conditions; and social protection and inclusion. Three years after the launch of the European Pillar of Social Rights, it is relevant to explore Europeans’ attitudes towards social issues in the European Union as a whole also in the context of the announced action plan to further implement the Pillar. This survey was commissioned by the Directorate-General for Employment, Social Affairs and Inclusion to explore public opinion about social issues in the European Union. It covers the following topics: . The importance of a social Europe to Europeans personally; . The most important elements for the EU’s economic and social development; . Assessment of a lack of social rights as a serious problem; . More or less decision-making at European level regarding 15 key principles of the European Pillar of Social Rights; . Europeans’ awareness of the European Pillar of Social Rights; . Views on the impact of the European Pillar of Social Rights on employment and social inclusion in the EU and on its chances of success; . Opinions about the possibility of a more social Europe in 2030; . Key principles of the European Pillar of Social Rights which are the most important for the future of Europe; . On which of these principles should national governments and the European Union take action to prepare the future of Europe; . The role of social rights issues in building a stronger European Union in the future. Almost all of the questions in this survey are new questions. However, where possible, the results of this survey are compared with those of a previous survey on Future of Europe – Social Issues conducted in September-October 20173. This survey was carried out by the Kantar network in the 27 Member States of the European Union between 20 November and 21 December 2020. 27,213 EU citizens from different social and demographic categories were interviewed face-to-face, by telephone or online in their native language on behalf of the Directorate-General for Employment, Social Affairs and Inclusion. 1 https://ec.europa.eu/commission/presscorner/detail/en/fs_20_49 2 https://ec.europa.eu/commission/priorities/deeper-and-fairer-economic-and-monetary-union/european-pillar-social-rights/european- pillar-social-rights-20-principles_en 3 https://ec.europa.eu/commfrontoffice/publicopinion/index.cfm/Survey/getSurveyDetail/instruments/SPECIAL/surveyKy/2179 2 Social Issues Special Eurobarometer 509 November - December 2020 Report The methodology used is that of Eurobarometer surveys as carried out for the Directorate-General for Communication (“Media monitoring and analysis” Unit). A technical note on the way the interviews were conducted by the institutes within the Kantar network is appended as an annex to this report. Also included are the interview methods and the confidence intervals. Note: In this report, countries are referred to by their official abbreviation. The abbreviations used in this report correspond to: Belgium BE Lithuania LT Bulgaria BG Luxembourg LU Czechia CZ Hungary HU Denmark DK Malta MT Germany DE The Netherlands NL Estonia EE Austria AT Ireland IE Poland PL Greece EL Portugal PT Spain ES Romania RO France FR Slovenia SI Croatia HR Slovakia SK Italy IT Finland FI Republic of Cyprus CY * Sweden SE Latvia LV European Union – weighted average for the 27 Member States EU27 BE, FR, IT, LU, DE, AT, ES, PT, IE, NL, FI, EL, EE, SI, CY, MT, SK, LV, LT Euro area BG, CZ, DK, HR, HU, PL, RO, SE Non-euro area * Cyprus as a whole is one of the 27 European Union Member States. However, the “acquis communautaire” has been suspended in the part of the country which is not controlled by the government of the Republic of Cyprus. For practical reasons, only the interviews carried out in the part of the country controlled by the government of the Republic of Cyprus are included in the “CY” category and in the EU27 average. We wish to thank the people throughout the European Union who have given their time to take part in this survey. Without their active participation, this study would not have been possible. 3 Social Issues Special Eurobarometer 509 November - December 2020 Report KEY FINDINGS Close to nine in ten Europeans say that a social Europe is important to them personally, particularly equal opportunities and access to the labour market, just ahead of fair working conditions . Nearly nine in ten Europeans (88%) say that a social Europe is important to them personally; . Over two-thirds of respondents share this opinion in every Member State of the European Union; . More than four in ten Europeans consider that four elements are among the most important for the EU’s economic and social development: equal opportunities and access to the labour market (46%), fair working conditions (45%), access to quality health care and the standard of living of people in the EU (41% for both elements); . Just over seven in ten respondents (71%) believe that a lack of social rights is a serious problem right now; . Large majorities of Europeans believe that there should be more decision-making at European level for eight areas tested: around three-quarters hold this view as regards protecting the environment and reducing climate change (76%), and promoting decent working conditions in the EU and abroad (74%); . In all 27 EU Member States, more than half of respondents think that promoting decent working conditions in the EU and abroad, protecting the environment and reducing climate change, and promoting equal treatment of women and men need more decision-making at European level. Nearly three in ten respondents had heard of the European Pillar of Social Rights before the interview . Close to three in ten respondents (29%) say that they had heard, read or seen something about the European Pillar of Social Rights before the interview; . Greece is the only EU Member State where a majority of respondents (53%) had been aware of the European Pillar of Social Rights before the interview; . Nearly eight in ten Europeans who had heard about the European Pillar of Social Rights (79%) agree that this initiative will strengthen employment and social inclusion in the EU as a whole; . More than six in ten respondents hold this view in the 27 EU Member States; . More than three-quarters of respondents who were aware of the European Pillar of Social Rights before the interview (76%) agree that the success of the European Pillar of Social Rights will depend on the implementation of these rights in their country; . In all 27 EU Member States, more than six in ten respondents agree with this statement. 4 Social Issues Special Eurobarometer 509 November - December 2020 Report More than six in ten Europeans think there will be a more social Europe in 2030; and health care is by far the most important area for this future, where both their national government and the EU should take action . Just over half of Europeans (51%) think that social rights issues will play a more important role in building a stronger EU in the future; .
Recommended publications
  • Hypothesis Testing with Two Categorical Variables 203
    Chapter 10 distribute or Hypothesis Testing With Two Categoricalpost, Variables Chi-Square copy, Learning Objectives • Identify the correct types of variables for use with a chi-square test of independence. • Explainnot the difference between parametric and nonparametric statistics. • Conduct a five-step hypothesis test for a contingency table of any size. • Explain what statistical significance means and how it differs from practical significance. • Identify the correct measure of association for use with a particular chi-square test, Doand interpret those measures. • Use SPSS to produce crosstabs tables, chi-square tests, and measures of association. 202 Part 3 Hypothesis Testing Copyright ©2016 by SAGE Publications, Inc. This work may not be reproduced or distributed in any form or by any means without express written permission of the publisher. he chi-square test of independence is used when the independent variable (IV) and dependent variable (DV) are both categorical (nominal or ordinal). The chi-square test is member of the family of nonparametric statistics, which are statistical Tanalyses used when sampling distributions cannot be assumed to be normally distributed, which is often the result of the DV being categorical rather than continuous (we will talk in detail about this). Chi-square thus sits in contrast to parametric statistics, which are used when DVs are continuous and sampling distributions are safely assumed to be normal. The t test, analysis of variance, and correlation are all parametric. Before going into the theory and math behind the chi-square statistic, read the Research Examples for illustrations of the types of situations in which a criminal justice or criminology researcher would utilize a chi- square test.
    [Show full text]
  • Esomar/Grbn Guideline for Online Sample Quality
    ESOMAR/GRBN GUIDELINE FOR ONLINE SAMPLE QUALITY ESOMAR GRBN ONLINE SAMPLE QUALITY GUIDELINE ESOMAR, the World Association for Social, Opinion and Market Research, is the essential organisation for encouraging, advancing and elevating market research: www.esomar.org. GRBN, the Global Research Business Network, connects 38 research associations and over 3500 research businesses on five continents: www.grbn.org. © 2015 ESOMAR and GRBN. Issued February 2015. This Guideline is drafted in English and the English text is the definitive version. The text may be copied, distributed and transmitted under the condition that appropriate attribution is made and the following notice is included “© 2015 ESOMAR and GRBN”. 2 ESOMAR GRBN ONLINE SAMPLE QUALITY GUIDELINE CONTENTS 1 INTRODUCTION AND SCOPE ................................................................................................... 4 2 DEFINITIONS .............................................................................................................................. 4 3 KEY REQUIREMENTS ................................................................................................................ 6 3.1 The claimed identity of each research participant should be validated. .................................................. 6 3.2 Providers must ensure that no research participant completes the same survey more than once ......... 8 3.3 Research participant engagement should be measured and reported on ............................................... 9 3.4 The identity and personal
    [Show full text]
  • Lecture 1: Why Do We Use Statistics, Populations, Samples, Variables, Why Do We Use Statistics?
    1pops_samples.pdf Michael Hallstone, Ph.D. [email protected] Lecture 1: Why do we use statistics, populations, samples, variables, why do we use statistics? • interested in understanding the social world • we want to study a portion of it and say something about it • ex: drug users, homeless, voters, UH students Populations and Samples Populations, Sampling Elements, Frames, and Units A researcher defines a group, “list,” or pool of cases that she wishes to study. This is a population. Another definition: population = complete collection of measurements, objects or individuals under study. 1 of 11 sample = a portion or subset taken from population funny circle diagram so we take a sample and infer to population Why? feasibility – all MD’s in world , cost, time, and stay tuned for the central limits theorem...the most important lecture of this course. Visualizing Samples (taken from) Populations Population Group you wish to study (Mostly made up of “people” in the Then we infer from sample back social sciences) to population (ALWAYS SOME ERROR! “sampling error” Sample (a portion or subset of the population) 4 This population is made up of the things she wishes to actually study called sampling elements. Sampling elements can be people, organizations, schools, whales, molecules, and articles in the popular press, etc. The sampling element is your exact unit of analysis. For crime researchers studying car thieves, the sampling element would probably be individual car thieves – or theft incidents reported to the police. For drug researchers the sampling elements would be most likely be individual drug users. Inferential statistics is truly the basis of much of our scientific evidence.
    [Show full text]
  • Eurobarometer 513 Climate Change
    Special Eurobarometer 513 Climate Change Report Fieldwork: March - April 2021 This document does not represent the point of view of the European Commission. The interpretations and opinions contained in it are solely those of the authors. Project title Special Eurobarometer 513 Climate, Report Language version EN Catalogue number ML-03-21-256-EN-N ISBN 978-92-76-38399-4 DOI 10.2834/437 © European Union, 2021 https://www.europa.eu/eurobarometer Photo credit: Getty Images Special Eurobarometer 513 TABLE OF CONTENTS INTRODUCTION 4 EXECUTIVE SUMMARY 7 I. EUROPEAN PERCEPTIONS OF CLIMATE CHANGE 8 1. Perceptions of climate change as a global problem 9 2. Perceived seriousness of climate change 22 II. TAKING ACTION TO TACKLE CLIMATE CHANGE 26 1. Responsibility for tackling climate change 27 2. Personal action to tackle climate change 34 3. Types of individual action 39 III. ATTITUDES TO FIGHTING CLIMATE CHANGE AND THE TRANSITION TO CLEAN ENERGIES 49 1. Attitudes towards taking action on climate change 51 2. Attitudes towards reducing fossil fuel imports 54 3. Attitudes towards the economic benefits of promoting EU expertise in clean technologies outside the EU 57 4. Attitudes to public financial support for clean energies as opposed to fossil fuel subsidies 60 5. Attitudes to adapting to the adverse impacts of climate change 64 6. Attitudes to tackling climate change and environmental issues as a priority to improve public health 67 7. Attitudes on the trade-off between costs caused by climate change versus the costs of a green transition 69 IV. LOOKING TO THE FUTURE 72 1. Current national governments action to tackle climate change 73 2.
    [Show full text]
  • Assessment of Socio-Demographic Sample Composition in ESS Round 61
    Assessment of socio-demographic sample composition in ESS Round 61 Achim Koch GESIS – Leibniz Institute for the Social Sciences, Mannheim/Germany, June 2016 Contents 1. Introduction 2 2. Assessing socio-demographic sample composition with external benchmark data 3 3. The European Union Labour Force Survey 3 4. Data and variables 6 5. Description of ESS-LFS differences 8 6. A summary measure of ESS-LFS differences 17 7. Comparison of results for ESS 6 with results for ESS 5 19 8. Correlates of ESS-LFS differences 23 9. Summary and conclusions 27 References 1 The CST of the ESS requests that the following citation for this document should be used: Koch, A. (2016). Assessment of socio-demographic sample composition in ESS Round 6. Mannheim: European Social Survey, GESIS. 1. Introduction The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted every two years across Europe since 2002. The ESS aims to produce high- quality data on social structure, attitudes, values and behaviour patterns in Europe. Much emphasis is placed on the standardisation of survey methods and procedures across countries and over time. Each country implementing the ESS has to follow detailed requirements that are laid down in the “Specifications for participating countries”. These standards cover the whole survey life cycle. They refer to sampling, questionnaire translation, data collection and data preparation and delivery. As regards sampling, for instance, the ESS requires that only strict probability samples should be used; quota sampling and substitution are not allowed. Each country is required to achieve an effective sample size of 1,500 completed interviews, taking into account potential design effects due to the clustering of the sample and/or the variation in inclusion probabilities.
    [Show full text]
  • EFAMRO / ESOMAR Position Statement on the Proposal for an Eprivacy Regulation —
    EFAMRO / ESOMAR Position Statement on the Proposal for an ePrivacy Regulation — April 2017 EFAMRO/ESOMAR Position Statement on the Proposal for an ePrivacy Regulation April 2017 00. Table of contents P3 1. About EFAMRO and ESOMAR 2. Key recommendations P3 P4 3. Overview P5 4. Audience measurement research P7 5. Telephone and online research P10 6. GDPR framework for research purposes 7. List of proposed amendments P11 a. Recitals P11 b. Articles P13 2 EFAMRO/ESOMAR Position Statement on the Proposal for an ePrivacy Regulation April 2017 01. About EFAMRO and ESOMAR This position statement is submitted In particular our sector produces research on behalf of EFAMRO, the European outcomes that guide decisions of public authorities (e.g. the Eurobarometer), the non- Research Federation, and ESOMAR, profit sector including charities (e.g. political the World Association for Data, opinion polling), and business (e.g. satisfaction Research and Insights. In Europe, we surveys, product improvement research). represent the market, opinion and In a society increasingly driven by data, our profession ensures the application of appropriate social research and data analytics methodologies, rigour and provenance controls sectors, accounting for an annual thus safeguarding access to quality, relevant, turnover of €15.51 billion1. reliable, and aggregated data sets. These data sets lead to better decision making, inform targeted and cost-effective public policy, and 1 support economic development - leading to ESOMAR Global Market Research 2016 growth and jobs. 02. Key Recommendations We support the proposal for an ePrivacy Amendment of Article 8 and Recital 21 to enable Regulation to replace the ePrivacy Directive as research organisations that comply with Article this will help to create a level playing field in a true 89 of the General Data Protection Regulation European Digital Single Market whilst increasing (GDPR) to continue conducting independent the legal certainty for organisations operating in audience measurement research activities for different EU member states.
    [Show full text]
  • 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.
    [Show full text]
  • Chapter 3: Simple Random Sampling and Systematic Sampling
    Chapter 3: Simple Random Sampling and Systematic Sampling Simple random sampling and systematic sampling provide the foundation for almost all of the more complex sampling designs that are based on probability sampling. They are also usually the easiest designs to implement. These two designs highlight a trade-off inherent in all sampling designs: do we select sample units at random to minimize the risk of introducing biases into the sample or do we select sample units systematically to ensure that sample units are well- distributed throughout the population? Both designs involve selecting n sample units from the N units in the population and can be implemented with or without replacement. Simple Random Sampling When the population of interest is relatively homogeneous then simple random sampling works well, which means it provides estimates that are unbiased and have high precision. When little is known about a population in advance, such as in a pilot study, simple random sampling is a common design choice. Advantages: • Easy to implement • Requires little advance knowledge about the target population Disadvantages: • Imprecise relative to other designs if the population is heterogeneous • More expensive to implement than other designs if entities are clumped and the cost to travel among units is appreciable How it is implemented: • Select n sample units at random from N available in the population All units within the population must have the same probability of being selected, therefore each and every sample of size n drawn from the population has an equal chance of being selected. There are many strategies available for selecting a random sample.
    [Show full text]
  • Solvay 224 Avenue Louise 1050 Brussels
    Mobilise! Incorporating Mobile Phones in Social and Policy-oriented Surveys ALEC M GALLUP FUTURE OF 1SURVEY RESEARCH FORUM 14 October, 2009 Hôtel Solvay 224 Avenue Louise 1050 Brussels % Dear Attendee, Mobile phones have had a remarkable impact on the world in a relatively short period of time. In all surveys, the overriding consideration is to reach all members of the public, young or old, male or female, employed or self- employed. In the nineties, fixed-line telephone coverage reached almost saturation point, but times are changing. In Europe, countries such as Finland and the Czech Republic now have a majority of citizens who are "mobile-only". Furthermore, as mobile phone ownership and usage is currently higher among certain groups, such as younger members of the population, the potential arises for mobile-phone non- coverage bias. This was a topic widely debated during the 2004 US Presidential election. Further discussion and research on the topic is vital. That's why Gallup has brought together the world's leading experts to thrash out issues that will undoubtedly impact the future of social research. Earlier this year, we were saddened by the death of Alec Gallup, a consummate polling professional who served the company for 60 years. If he was still with us, he would be watching the increase of the mobile-phone population with interest. Alec Gallup understood polling from A to Z and he knew that that the future of survey research depended on methodologies that would continue to give an equal opportunity of being polled … to all members of the public Bi-annual series of seminars: Future of Surveys We would therefore like to welcome you to "The 1st Alec Gallup Future of Survey Research Forum: Incorporating Mobile Phones in Social and Policy-oriented Surveys.
    [Show full text]
  • 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.
    [Show full text]
  • The Eu and Public Opinions: a Love-Hate Relationship?
    THE EU AND PUBLIC OPINIONS: A LOVE-HATE RELATIONSHIP? Salvatore Signorelli Foreword by Julian Priestley NOVEMBER 2012 STUDIES & REPORTS 93 The EU and public opinions: A love-hate relationship? TABLE OF CONTENTS FOREWORD 4 EXECUTIVE SUMMARY 7 INTRODUCTION 9 1. European public opinion analysis instruments 12 1.1. The origins of the Eurobarometer: a brief overview 12 1.2. Deciphering European public opinion: quantitative polls 19 1.2.1. Standard EBS: regular public opinion monitoring 20 1.2.2. Special EB: in-depth thematic surveys 26 1.2.3. EB Flash: rapid thematic surveys 29 1.2.4. Sociological criticism of quantitative opinion polls 31 1.3. Qualitative Studies: analysis of reactions, feelings and motivations 33 1.4. Deliberative Polling® 37 1.5. National polls of the 27 Member States 43 2. The work of public opinion analysis within the institutions 44 2.1. The change in political context and in objectives for the EU: the rise of public opinion 44 The EU and public opinions: A love-hate relationship? 2.2. The European Commission: “driving force” of public opinion analysis in the EU 47 2.2.1. A role of interface in drafting Eurobarometer surveys 50 2.2.2. The “national” level of public opinion analysis at the Commission 52 2.3. The work of public opinion analysis at the European Parliament 54 2.3.1. An information tool 56 2.3.2. The “national” level of public opinion analysis at the European Parliament 57 2.4. The role of the other institutions 58 2.4.1. European Council 58 2.4.2.
    [Show full text]
  • Categorical Data Analysis
    Categorical Data Analysis Related topics/headings: Categorical data analysis; or, Nonparametric statistics; or, chi-square tests for the analysis of categorical data. OVERVIEW For our hypothesis testing so far, we have been using parametric statistical methods. Parametric methods (1) assume some knowledge about the characteristics of the parent population (e.g. normality) (2) require measurement equivalent to at least an interval scale (calculating a mean or a variance makes no sense otherwise). Frequently, however, there are research problems in which one wants to make direct inferences about two or more distributions, either by asking if a population distribution has some particular specifiable form, or by asking if two or more population distributions are identical. These questions occur most often when variables are qualitative in nature, making it impossible to carry out the usual inferences in terms of means or variances. For such problems, we use nonparametric methods. Nonparametric methods (1) do not depend on any assumptions about the parameters of the parent population (2) generally assume data are only measured at the nominal or ordinal level. There are two common types of hypothesis-testing problems that are addressed with nonparametric methods: (1) How well does a sample distribution correspond with a hypothetical population distribution? As you might guess, the best evidence one has about a population distribution is the sample distribution. The greater the discrepancy between the sample and theoretical distributions, the more we question the “goodness” of the theory. EX: Suppose we wanted to see whether the distribution of educational achievement had changed over the last 25 years. We might take as our null hypothesis that the distribution of educational achievement had not changed, and see how well our modern-day sample supported that theory.
    [Show full text]