scholarly journals Η ευρωπαϊκή κοινωνική έρευνα: Οργανωτική δομή και μεθοδολογικό πλαίσιο

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Γιάννης Νικ. Υφαντόπουλος
Keyword(s):  
Response Rate ◽  
Social Values ◽  
European Social Survey ◽  
Scientific Instrument ◽  
Economic Policies ◽  
Lisbon Strategy ◽  
Data Set ◽  
Social Survey ◽  
Policy Documents ◽  
Face To Face

<p>Over the last three to four decades, the European Commission and Eurostat have developed harmonized methodologies aiming at the collection and statistical analysis of European data. This process has contributed enormously to<br />the shaping and evaluation of social and economic policies as well as to the assessment of the Lisbon Strategy. The European Social Survey (ESS) constitutes a “New Scientific Instrument” for the investigation of beliefs, attitudes, ideas and social values of the Europeans. Currently, the total number of participating countries amounts to 32 and the data set includes more than 30,000 face to face interviews. The ESS data base is explored by more than 10,000 registered users, producing books, scientific articles, papers and policy documents. In Greece the first round (2002-2003) was conducted by face to face interviews in a random sample of 3.227 households and a response rate of 80%. The second round (2004-2003) was launched to 3.002 households and the response rate accounted to 74,2%. Greece, in comparison with the rest of the participating countries in the ESS study, fulfilled all the strict scientific criteria and achieved the highest response rates.</p>

scholarly journals Improving Data Quality with Sociodemographic Matching?: About the Effects and Implications of Age and Gender Matching in Face-to-Face Interviews

2021 ◽  
pp. 193672442199825
Author(s):  
Felix Bittmann
Keyword(s):  
Data Quality ◽  
European Social Survey ◽  
Item Nonresponse ◽  
Age And Gender ◽  
Social Survey ◽  
Face To Face ◽  
Dependent Variables ◽  
And Gender ◽  
High Degree ◽  
Gender Matching

According to the theory of liking, data quality might be improved in face-to-face survey settings when there is a high degree of similarity between respondents and interviewers, for example, with regard to gender or age. Using two rounds of European Social Survey data from 25 countries including more than 70,000 respondents, this concept is tested for the dependent variables amount of item nonresponse, reluctance to answer, and the probability that a third adult person is interfering with the interview. The match between respondents and interviewers is operationalized using the variables age and gender and their statistical interactions to analyze how this relates to the outcomes. While previous studies can be corroborated, overall effect sizes are small. In general, item nonresponse is lower when a male interviewer is conducting the interview. For reluctance, there are no matching effects at all. Regarding the presence of other adults, only female respondents profit from a gender match, while age is without any effect. The results indicate that future surveys should weigh the costs and benefits of sociodemographic matching as advantages are probably small.

Political Support

2007 ◽  
Vol 40 (12) ◽  
pp. 1511-1532 ◽  
Author(s):  
Henar Criado ◽  
Francisco Herreros
Keyword(s):  
Political Institutions ◽  
European Social Survey ◽  
Political Support ◽  
Policy Outcomes ◽  
Attribution Of Responsibility ◽  
Data Set ◽  
Social Survey ◽  
Individual Variables ◽  
The Government

The analysis of the causes of political support for political institutions has been focused either on one-case studies that stress the relevance of individual variables or cross-national studies that stress the role of institutions. In this article, the authors suggest that to understand the logic of political support, it is necessary to combine both types of explanations. Using evidence from 17 European countries of the 2002 to 2003 European Social Survey data set, the authors show that the effect of the performance of the institution on political support is higher in majoritarian democracies, where the attribution of responsibility for policy outcomes is clear, than in proportional democracies. They also show that the effect of ideology on political support depends on the type of democracy: Those citizens ideologically far from the government will show higher levels of political support in proportional democracies than in majoritarian ones.

scholarly journals Decomposing Attitude Distributions to Quantify Mass Polarization in Europe

2021 ◽  
Author(s):  
Martin Gestefeld ◽  
Jan Lorenz ◽  
Klaus Boehnke ◽  
Nils Tobias Henschel
Keyword(s):  
Data Analysis ◽  
Empirical Evidence ◽  
Empirical Data ◽  
Time Trends ◽  
General Trend ◽  
Attitude Scale ◽  
European Social Survey ◽  
Data Set ◽  
Social Survey ◽  
Election Results

In recent years, political discourse and election results appear to be morepolarized than in the years before. Empirical evidence for opinion polarization hasbeen found regarding specific topics but is there a general trend in society? Wecompare various polarization measures and find that in empirical data most ofthem correlate strongly with the average attitude discrepancy between randomlyselected pairs which we propose as a catch-all measure for polarization. In anexploratory data analysis of the European Social Survey, we analyze distributionsof individual responses on the left-right political self-placements and several otherattitudes. We find that distributions are typically not unimodal or bimodal, butshow more structure with up to five modes.We exploit this structure by fitting a new model to distributions of answers onan eleven-point attitude scale, and demonstrate that distributions can beapportioned into moderates, extremists, and centrists. We use the model todecompose general polarization into empirically meaningful components which weuse to analyze the complete data set across topics, across countries, and withrespect to time-trends establishing an overview and new perspectives onpolarization in Europe.

scholarly journals CLUSTERING OF UKRAINIAN REGIONS BASED ON VALUE ORIENTATIONS AND POLITICAL CHOICE OF THE POPULATIONS: METHODOLOGICAL RATIONALE AND ANALYSIS USING COMBINING DATA SOURCES

2019 ◽  
pp. 123-132
Keyword(s):  
Political Parties ◽  
European Social Survey ◽  
Value Orientations ◽  
Sample Survey ◽  
Data Set ◽  
Social Survey ◽  
Parliamentary Elections ◽  
Openness To Change ◽  
Combining Data ◽  
Self Transcendence

The aim of this study is clustering of administrative-territorial units of Ukraine on the basis of value orientations and the electoral choice of the population of these units. The k-means method is used. Creation of macroregions basing on the political orientations of the population is quite widespread, but such approaches have a number of limitations, primarily due to the fact that the list of political leaders or political parties can change significantly in rather short periods of time and because of difficulties with using of several political parties/leaders simultaneously in the analysis. The «value» in this article is defined within Schwartz's theory as desirable goals that go beyond specific situations, differ in importance from each other and are guiding principles in human life. The analysis uses the ten Schwartz's values, which are grouped into four dimensions: «Conservation», «Self-Enhancement», «Self-Transcendence» and «Openness to Change». The data set for this study is combination of two sources of data – sample survey and electoral statistics. Thus, the data set in this study is formed by a combination of the results of the Ukrainian vote in the Parliamentary elections in 2012 and sample survey – European Social Survey – the latest wave of which was held in Ukraine in 2012. The European Social Survey is the most actual source of data on the value orientations of Ukrainians which is in free access. After 2012 this study in Ukraine was no longer conducted. The main result of this study is the creation of clusters of administrative-territorial units based on the similarity of the results of voting and value orientations of population in these units. The first cluster includes administrative-territorial units, where population has more expressed values of Self-transcendence than in Ukraine as a whole. In the second cluster there are units where population has more expressed values of Self-enhancement and Openness to change. The third cluster is characterized by more expressive values of Self-transcendence and Conservation. Except of different levels of expression values, clusters differ by the level of support of political parties that participated in Parliamentary elections. This approach allows evaluate the received cluster structure in dynamics, use in analysis results of national and local elections in different years. Also it makes clustering space two-dimensional, which enables not only to discover similar administrative-territorial units, but also, for example, to identify groups of parties whose supporters share similar values. Although the article uses data from 2012, the successful application of this approach to the clustering of administrative-territorial units opens up the ways for such clustering on more recent data.

Can a Non-Probabilistic Online Panel Achieve Question Quality Similar to that of the European Social Survey?

2015 ◽  
Vol 57 (3) ◽  
pp. 395-412 ◽  
Author(s):  
Melanie Revilla ◽  
Willem Saris ◽  
Germán Loewe ◽  
Carlos Ochoa
Keyword(s):  
Reliability And Validity ◽  
European Social Survey ◽  
The Other ◽  
Social Survey ◽  
Face To Face ◽  
Online Panel ◽  
Survey Round ◽  
Using Data ◽  
Online Panels

Recently, Revilla and Saris (2012) showed, using data from the Netherlands, that the quality of responses (product of reliability and validity) in a probability-based online panel (LISS) can be similar to those from face-to-face surveys (European Social Survey round 4). However, most online panels select their members in a non probability-based way. They usually also send many more surveys per month to their panellists. Both together can generate professional respondents whose quality of answers may be different. Therefore, it makes sense to make a similar comparison for a nonprobability-based online panel (Netquest). Although differences are found, the similarities prevail. Overall, we cannot say that one of the surveys has higher estimates of quality, when defined as the product of reliability and validity, than the other.

scholarly journals The distribution of wellbeing in Ireland

2009 ◽  
Vol 26 (3) ◽  
pp. 119-126 ◽  
Author(s):  
Liam Delaney ◽  
Orla Doyle ◽  
Kenneth McKenzie ◽  
Patrick Wall
Keyword(s):  
Mental Health ◽  
Social Capital ◽  
Linear Regression ◽  
Large Scale ◽  
Linear Regression Analysis ◽  
Psychiatric Morbidity ◽  
European Social Survey ◽  
Mental Wellbeing ◽  
Data Set ◽  
Social Survey

AbstractObjectives: There is a substantial knowledge gap about the distribution of mental health in community populations. The European Social Survey is particularly useful as it contains information on over 40,000 individuals, including 2,286 Irish adults. The objective of this study is to conduct a large scale statistical analysis to examine the distribution and determinants of mental wellbeing in a large representative sample of the Irish population.Method: Analysis of the European Social Survey using robust multiple linear and non-linear regression techniques. The data-set contains WHO-Five scores and subjective wellbeing for a sample of 2,286 Irish people interviewed in their homes in 2005.Results: Ireland has the second highest average WHO-Five score among the 22 countries in the European Social Survey. Multiple linear regression analysis across the distribution of WHO-Five reveals a wellbeing gradient largely related to education and social capital variables. A probit model examining the determinants of vulnerability to psychiatric morbidity reveals that a similar set of factors predict scores below the threshold point on the WHO-Five scale.Conclusions: The results are consistent with marked differences in mental wellbeing across education levels and variables relating to social capital factors. Such indicators provide a useful index for policy-makers and researchers. However, much further work is needed to identify causal mechanisms generating observed differences in mental health across different socioeconomic groups.

scholarly journals Assessing Interviewer Performance in Approaching Reissued Initial Nonrespondents

2020 ◽  
Vol 36 (3) ◽  
pp. 589-607
Author(s):  
Laurie Peeters ◽  
David De Coninck ◽  
Celine Wuyts ◽  
Geert Loosveldt
Keyword(s):  
Survey Research ◽  
Initial Phase ◽  
Response Rate ◽  
European Social Survey ◽  
High Response Rate ◽  
High Response ◽  
Social Survey ◽  
Phase Sample ◽  
Using Data

AbstractNonresponse is a repeatedly reported concern in survey research. In this article, we investigate the technique of reissuing nonrespondents to another interviewer and attempting to convert them into respondents, using data of Rounds 7 and 8 of the European Social Survey (ESS) in Belgium. The results show no marked differences between respondents interviewed by the more and the less successful interviewers, indicating that the latter are not more successful in persuading more reluctant respondents to participate. Sample units that were unsuccessfully approached in the initial phase by an interviewer with a high response rate are more difficult to convert during the reissue phase. Sample units that were unsuccessfully approached in the initial phase by an interviewer with a low response rate are easier to convert during the reissue phase.

Recovery Self Assessment – Übersetzung und kulturelle Anpassung eines recovery-orientierten Einschätzungsinstrumentes

Pflege ◽  
2015 ◽  
Vol 28 (4) ◽  
pp. 233-243 ◽  
Author(s):  
Gianfranco Zuaboni ◽  
Luciana Degano Kieser ◽  
Bernd Kozel ◽  
Katharina Glavanovits ◽  
Jörg Utschakowski ◽  
...  
Keyword(s):  
European Social Survey ◽  
Assessment Scale ◽  
Self Assessment ◽  
Social Survey

Zusammenfassung. Hintergrund: Der Recovery-Ansatz gewinnt in der psychiatrischen Forschung und Praxis zunehmend an Bedeutung. Im englischen Sprachraum ist die praktische Etablierung und wissenschaftliche Auseinandersetzung fortgeschritten. Um die Implementierung des Ansatzes zu unterstützen, sind Einschätzungsinstrumente notwendig. Ein verbreitetes und anerkanntes Instrument ist die Recovery Self Assessment Scale (RSA). Diese besteht aus vier Versionen eines Fragebogens, welche die Perspektiven von Nutzenden, Fachpersonen, Angehörigen und dem Management erfassen. Ziel/Methode: In diesem Artikel werden die Entwicklung des Instrumentes und der Übersetzungsprozess dargestellt. Zwei voneinander unabhängige Arbeitsgruppen verwendeten unterschiedliche Übersetzungsverfahren: Die Arbeitsgruppe aus der Schweiz (AGS) orientierte sich an den ISOR-Prinzipien, die Arbeitsgruppe aus Norddeutschland (AGN) an den Richtlinien des European Social Survey Programme zur Übersetzung von Fragebögen – TRAPD. Die Methoden unterscheiden sich darin, dass die TRAPD Fokusgruppen vorsieht. Die Ergebnisse der Arbeitsgruppen wurden mittels eines Konsensusverfahrens zur RSA-D zusammengeführt. Ergebnisse: Bei der Übersetzung und kulturellen Anpassung der RSA-D wurde die Nähe zum theoretischen Bezugsrahmen der RSA gewahrt und die Übertragbarkeit in den deutschsprachigen Kontext berücksichtigt. Schlussfolgerung: Bevor die RSA-D in der Praxis und Forschung eingesetzt werden kann, sollte in weiterführenden Studien die psychometrische Testung erfolgen.

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