Suchergebnisse

This article examines the role of news exposure and political trust in the decision to vote in European Parliament (EP) elections in established (EU-15) and new member states of the 2004/2007 enlargement. News coverage of EP elections tends to differ among established and new member states. News in new members contains more coverage of EP elections and the European Union (EU) and tends to also be more positive than in established members. The difference in coverage may play a role in how European institutions are trusted, and ultimately, in election participation. A moderated mediation model is proposed to test whether trust in the EP mediates the relationship between news exposure and voting in EP elections, and whether the relationship between news exposure and trust is stronger among new member states. Using two methods, an experiment conducted in four EU states and a structural equation model of 2004 European Election Studies survey data, support is found for the model. The results also suggest that while European-level considerations account for some of the variance in voting, they cannot be a substitute for national-level considerations. [Reprinted by permission; copyright Sage Publications Inc.]

This article examines the role of news exposure and political trust in the decision to vote in European Parliament (EP) elections in established (EU-15) and new member states of the 2004/2007 enlargement. News coverage of EP elections tends to differ among established and new member states. News in new members contains more coverage of EP elections and the European Union (EU) and tends to also be more positive than in established members. The difference in coverage may play a role in how European institutions are trusted, and ultimately, in election participation. A moderated mediation model is proposed to test whether trust in the EP mediates the relationship between news exposure and voting in EP elections, and whether the relationship between news exposure and trust is stronger among new member states. Using two methods, an experiment conducted in four EU states and a structural equation model of 2004 European Election Studies survey data, support is found for the model. The results also suggest that while European-level considerations account for some of the variance in voting, they cannot be a substitute for national-level considerations.

Survey research using nationally representative samples is growing substantially in the rapidly developing countries of the Gulf Cooperation Council (GCC). However, in such countries the population and their demographic makeup change at some of the fastest rates in the world. In Qatar for instance, government censuses tend to be undertaken every five to six years, while the population and its demographic composition change very quickly (Alrouh, Ismail & Cheema, 2013). In 2004, the population of Qatar was just 798,000 and Qataris represented 24% of the country's residents. The 2010 census measured the population at 1,699,000, only 17% of which were Qataris.In such countries therefore, sampling frames based on censuses may quickly become outdated as demographic compositions change considerably over short time periods, more so than in other countries. These contexts present a challenge for survey research, as the target population may differ significantly from the sampling frame shortly after it is constructed. Outdated frames may lead to coverage and content errors that not only affect the estimates produced by a survey but also operational processes associated with data collection. Frame error can negatively impact time spent in the field and survey costs. Periodic evaluation of the quality of a sampling frame used between censuses is required for estimating coverage bias and informing researchers about the quality of the frame data. Adjustments in field operations can then be made to improve the effectiveness and efficiency of data collection.This paper describes the Post-Frame update Survey method conducted by the Social and Economic Survey Research Institute (SESRI) at Qatar University. It aims to assess the accuracy and coverage of its housing units sampling frame and improve field operations. This method of evaluating sampling frames could be applicable to other research organizations that survey rapidly changing populations.

Survey research using nationally representative samples is growing substantially in the rapidly developing countries of the Gulf Cooperation Council (GCC). However, in such countries the population and their demographic makeup change at some of the fastest rates in the world. In Qatar for instance, government censuses tend to be undertaken every five to six years, while the population and its demographic composition change very quickly (Alrouh, Ismail & Cheema, 2013). In 2004, the population of Qatar was just 798,000 and Qataris represented 24% of the country's residents. The 2010 census measured the population at 1,699,000, only 17% of which were Qataris.In such countries therefore, sampling frames based on censuses may quickly become outdated as demographic compositions change considerably over short time periods, more so than in other countries. These contexts present a challenge for survey research, as the target population may differ significantly from the sampling frame shortly after it is constructed. Outdated frames may lead to coverage and content errors that not only affect the estimates produced by a survey but also operational processes associated with data collection. Frame error can negatively impact time spent in the field and survey costs. Periodic evaluation of the quality of a sampling frame used between censuses is required for estimating coverage bias and informing researchers about the quality of the frame data. Adjustments in field operations can then be made to improve the effectiveness and efficiency of data collection.This paper describes the Post-Frame update Survey method conducted by the Social and Economic Survey Research Institute (SESRI) at Qatar University. It aims to assess the accuracy and coverage of its housing units sampling frame and improve field operations. This method of evaluating sampling frames could be applicable to other research organizations that survey rapidly changing populations.Â

Researchers and policymakers often rely on executive surveys to understand and promote good governance. In doing so, they assume that the evaluations provided by these well‐informed respondents are not systematically influenced by regime type. However, regime‐embedded executives often have a personal stake in the survey outcomes, incentivizing them to exaggerate good governance. This paper compares World Economic Forum Executive Opinion Survey responses to corollary measures of key governance concepts in democracies, anocracies, and autocracies. It finds evidence of significant score inflation among executives in closed regimes. The individual‐level mechanisms are explored in one autocracy by comparing responses from regime‐embedded informants based at firms headquartered within the country with those managing businesses headquartered abroad. These micro‐level data likewise reveal evidence of widespread inflation, particularly on items related to governance. Finally, a closer look at Transparency International's Corruption Perceptions Index demonstrates the broader impact Executive Opinion Survey inflation for measuring governance within closed regimes.