The rise of cross-national survey data harmonization in the social sciences: emergence of an interdisciplinary methodological field

2015 ◽  
Vol 50 (4) ◽  
pp. 1449-1467 ◽  
Author(s):  
Joshua Kjerulf Dubrow ◽  
Irina Tomescu-Dubrow
Keyword(s):  
Social Sciences ◽  
Survey Data ◽  
National Survey ◽  
Data Harmonization ◽  
The Social ◽  
Cross National

East Asian Social Survey (EASS), Cross-National Survey Data Sets: Culture and Globalization in East Asia, 2008

2013 ◽  
Author(s):  
Ying-Hwa Chang (TSCS) ◽  
Noriko Iwai (JGSS) ◽  
Lulu Li (CGSS) ◽  
Sang-Wook Kim (KGSS)
Keyword(s):  
East Asia ◽  
Survey Data ◽  
National Survey ◽  
East Asian ◽  
Data Sets ◽  
Social Survey ◽  
Cross National

scholarly journals Transparency and Replication in Cross-national Survey Research: Identification of Problems and Possible Solutions

2019 ◽  
pp. 004912411988245
Author(s):  
Elena Damian ◽  
Bart Meuleman ◽  
Wim van Oorschot
Keyword(s):  
Social Sciences ◽  
Theoretical Model ◽  
Survey Research ◽  
National Survey ◽  
Great Majority ◽  
Sufficient Information ◽  
Validity And Reliability ◽  
Research Transparency ◽  
National Studies ◽  
Cross National

In this article, we examine whether cross-national studies disclose enough information for independent researchers to evaluate the validity and reliability of the findings (evaluation transparency) or to perform a direct replication (replicability transparency). The first contribution is theoretical. We develop a heuristic theoretical model including the actors, factors, and processes that influence the transparency of cross-national studies and provide an overview of the measures currently taken to improve research transparency. The second contribution is empirical, in which we analyze the level of transparency in published cross-national studies. Specifically, using a random sample of 305 comparative studies published in one of 29 peer-reviewed social sciences journals (from 1986 to 2016), we show that, even though all the articles include some methodological information, the great majority lack sufficient information for evaluation and replication. Lastly, we develop and propose a set of transparency guidelines tailored for reporting cross-national survey research.

scholarly journals International Students’ Perceptions of Service Quality in the UK Banking Sector: An Exploratory Study

2011 ◽  
Vol 1 (2) ◽  
pp. 50-58
Author(s):  
Christopher Bond ◽  
Marc Ting-Chun Hsu
Keyword(s):  
Social Sciences ◽  
International Students ◽  
Service Quality ◽  
Survey Data ◽  
Exploratory Study ◽  
Banking Sector ◽  
Specific Research ◽  
The Social ◽  
The Uk ◽  
Physical Layout

This study reviews and evaluates international students’ perceptions of UK banks. The specific research objectives were to identify international students’ expectations and perceptions of service quality from UK banks and to assess the quality GAP or dissonance between these. A total of 297 international students studying in the UK responded to the survey. Data gathered was analyzed using Statistical Package for the Social Sciences (SPSS 16). The study reveals that the main areas of service quality with which international students are generally satisfied relates to tangibles such as physical layout and appearance. The key areas of dissatisfaction that the study identified were with factors related to reliability and empathy. This appears to be the first study in the UK banking sector that has focused on service quality with respect to international students. 

scholarly journals Sampling and fieldwork practices in Europe: Analysis of methodological documentation from 1,537 surveys in five cross-national projects, 1981-2017

Methodology ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 186-207
Author(s):  
Piotr Jabkowski ◽  
Marta Kołczyńska
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Comparative Analyses ◽  
National Surveys ◽  
Samples And Sampling ◽  
Survey Methodologies ◽  
Over Time ◽  
Selection Of ◽  
Cross National

This article addresses the comparability of sampling and fieldwork with an analysis of methodological data describing 1,537 national surveys from five major comparative cross-national survey projects in Europe carried out in the period from 1981 to 2017. We describe the variation in the quality of the survey documentation, and in the survey methodologies themselves, focusing on survey procedures with respect to: 1) sampling frames, 2) types of survey samples and sampling designs, 3) within-household selection of target persons in address-based samples, 4) fieldwork execution and 5) fieldwork outcome rates. Our results show substantial differences in sample designs and fieldwork procedures across survey projects, as well as changes within projects over time. This variation invites caution when selecting data for analysis. We conclude with recommendations regarding the use of information about the survey process to select existing survey data for comparative analyses.

Key Questions and Methodological Preliminaries

2017 ◽  
Author(s):  
Detlef Pollack ◽  
Gergely Rosta
Keyword(s):  
Social Sciences ◽  
Survey Data ◽  
Functional Differentiation ◽  
Religious Communities ◽  
Representative Survey ◽  
The Social ◽  
Negative Effect ◽  
Religious Landscape ◽  
Special Case ◽  
Key Questions

Chapter 3 outlines the key questions of the book and the methodology that the book uses to deal with these questions. The questions are as follows: 1. To what extent are functional differentiation and religion compatible? 2. How does vertical differentiation affect the religious landscape? 3. Does the increasing diversity of the religious have a positive or a negative effect on the vitality of religious communities, organizations and markets? Is there a connection here at all? Can we understand the effects of religious pluralization as the relativization of religious claims to validity? Or does the competition between different religious and ideological providers trigger particular efforts to preserve and expand customer bases? In its methodology, the book relies on special case studies and comparative analyses; it integrates studies from the social sciences and history; it uses statistics and representative survey data; and it includes archival research.

East Asian Social Survey (EASS), Cross-National Survey Data Sets: Health and Society in East Asia, 2010

2013 ◽  
Author(s):  
Noriko Iwai (JGSS) ◽  
Lulu Li (CGSS) ◽  
Sang-Wook Kim (KGSS) ◽  
Ying-Hwa Chang (TSCS)
Keyword(s):  
East Asia ◽  
Survey Data ◽  
National Survey ◽  
East Asian ◽  
Data Sets ◽  
Social Survey ◽  
Cross National

East Asian Social Survey (EASS), Cross-National Survey Data Sets: Health and Society in East Asia, 2010

2013 ◽  
Author(s):  
Noriko Iwai (JGSS) ◽  
Lulu Li (CGSS) ◽  
Sang-Wook Kim (KGSS) ◽  
Ying-Hwa Chang (TSCS)
Keyword(s):  
East Asia ◽  
Survey Data ◽  
National Survey ◽  
East Asian ◽  
Data Sets ◽  
Social Survey ◽  
Cross National

Request Fulfilling: When Citizens Demand Clientelist Benefits

2016 ◽  
Vol 50 (8) ◽  
pp. 1086-1117 ◽  
Author(s):  
Simeon Nichter ◽  
Michael Peress
Keyword(s):  
Latin America ◽  
Survey Data ◽  
National Survey ◽  
Top Down ◽  
Material Benefits ◽  
Client Relations ◽  
Call Request ◽  
Cross National

Traditional accounts of clientelism typically focused on patron–client relations with minimal scope for citizen autonomy. Despite the heightened agency of many contemporary citizens, most studies continue to depict clientelism as a phenomenon that is firmly under elite control. The prevailing tendency is to view clientelism as a top-down process in which machines target citizens with offers of material benefits. Without denying the importance of elites, we emphasize the role of citizen demands in clientelism. Citizens often approach machines of their own volition to ask for help and may vote for a competitor if requests are unfulfilled. In response to these citizens, machines often engage in what we call “request fulfilling.” Interviews with citizens and politicians, coupled with cross-national survey data from Africa and Latin America, suggest the importance of this phenomenon. In addition, Argentine survey data in studies by Stokes and Nichter are better explained by request fulfilling than alternative explanations.

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