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surveyharmonization.bib
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@article{burkhauser_data_harmonization_2005,
title={The contribution and potential of data harmonization for cross-national comparative research},
author={Burkhauser, Richard V and Lillard, Dean R},
journal={Journal of Comparative Policy Analysis},
volume={7},
number={4},
pages={313--330},
year={2005},
publisher={Taylor \& Francis}
}
@article{wysmulek_expost_2022,
title = {Ex-post harmonization of cross-national survey data: advances in methodological and substantive inquiries},
volume = {56},
issn = {1573-7845},
url = {https://doi.org/10.1007/s11135-021-01187-7},
doi = {10.1007/s11135-021-01187-7},
shorttitle = {Ex-post harmonization of cross-national survey data},
pages = {1701--1708},
number = {3},
journaltitle = {Quality \& Quantity},
shortjournal = {Qual Quant},
author = {Wysmułek, Ilona and Tomescu-Dubrow, Irina and Kwak, Joonghyun},
urldate = {2022-05-10},
date = {2022-06-01},
year = 2022,
langid = {english},
file = {Full Text PDF:C\:\\Users\\Daniel Antal\\Zotero\\storage\\CSZNNSAB\\Wysmułek et al. - 2022 - Ex-post harmonization of cross-national survey dat.pdf:application/pdf}
}
@incollection{slomczynski_survey_data_recycling_2018,
title = {Basic Principles of Survey Data Recycling},
isbn = {978-1-118-88499-7},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118884997.ch43},
abstract = {This chapter outlines the basic principles of survey data recycling ({SDR}). {SDR} provides a roadmap for reprocessing extant surveys in ways that account for data quality broadly defined and for recording and revealing the decisions of ex post harmonization. Generally, {SDR} has been developed in view of harmonizing several international survey projects but can be applied to national projects as well. In {SDR}, data processing is documented via different types of metadata. {SDR} draws on the literatures of survey data quality, ex post harmonization, and multilevel modeling to develop formal rules that researchers can employ to do so. For each dimension, {SDR} recommends constructing control variables that reflect methodological variability in the source survey data and to make them available, as metadata, in the harmonized dataset. {SDR} considers information on the transformation of original items into the target variables and the overall quality of the source variables.},
pages = {937--962},
booktitle = {Advances in Comparative Survey Methods},
publisher = {John Wiley \& Sons, Ltd},
author = {Slomczynski, Kazimierz M. and Tomescu-Dubrow, Irina},
urldate = {2022-05-10},
date = {2018},
year = 2018,
langid = {english},
doi = {10.1002/9781118884997.ch43},
note = {Section: 43
\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118884997.ch43},
keywords = {harmonized dataset, international survey projects, metadata variables, methodological variability, multilevel modeling, {SDR} basic principles, {SDR} logic, source variables, survey quality},
file = {Snapshot:C\:\\Users\\Daniel Antal\\Zotero\\storage\\HW3V6MPU\\9781118884997.html:text/html}
}
@incollection{kolczynska_item_2018,
title = {Item Metadata as Controls for Ex Post Harmonization of International Survey Projects},
isbn = {978-1-118-88499-7},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118884997.ch46},
abstract = {This chapter discusses a classification of item metadata that could be useful in assessing the intersurvey reliability and validity of variables created via ex post harmonization of survey data. Harmonization controls and item quality controls are part of this classification. The construction of item metadata is part of the logic of the Survey Data Recycling analytic framework. To illustrate the approach described, the chapter provides two examples of target variables from the Harmonization Project dataset, which was constructed for analyzing determinants of political participation in a cross-national perspective. The first example pertained to controls for the target variable “trust in the national parliament”, which is one of the most popular survey items on political trust in general; it is also theoretically relevant for peoples' propensity to demonstrate. The second example involved controls for the target variable “participation in demonstrations”.},
pages = {1011--1033},
booktitle = {Advances in Comparative Survey Methods},
publisher = {John Wiley \& Sons, Ltd},
author = {Kołczyńska, Marta and Slomczynski, Kazimierz M.},
urldate = {2022-05-10},
date = {2018},
year = 2018,
langid = {english},
doi = {10.1002/9781118884997.ch46},
note = {Section: 46
\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118884997.ch46},
keywords = {ex post harmonization controls, harmonization project dataset, item metadata, item quality controls, national parliament, political participation, political trust, survey data recycling}
}
@article{dubrow_survey_data_harmonization_2016,
title = {The rise of cross-national survey data harmonization in the social sciences: emergence of an interdisciplinary methodological field},
volume = {50},
issn = {1573-7845},
url = {https://doi.org/10.1007/s11135-015-0215-z},
doi = {10.1007/s11135-015-0215-z},
shorttitle = {The rise of cross-national survey data harmonization in the social sciences},
abstract = {Cross-national survey data harmonization combines surveys conducted in multiple countries and across many time periods into a single, coherent dataset. Methodologically, ex post survey data harmonization is especially complex because it combines projects that were not specifically designed to be comparable. We examine the institutional and intellectual history of nine large scale ex post survey data harmonization ({SDH}) projects in the social sciences from the 1980s to the 2010s. An interdisciplinary methodological field of {SDH} slowly emerges, facilitated in part by a partnership between academia and government and from the coordinated contributions of social scientists, survey methodologists and computer scientists. While there has been a learning process, it is in terms of accumulated practicalities, and not with the coordination or institutional apparatus one would expect from a 30 year effort.},
pages = {1449--1467},
number = {4},
journaltitle = {Quality \& Quantity},
shortjournal = {Qual Quant},
author = {Dubrow, Joshua Kjerulf and Tomescu-Dubrow, Irina},
urldate = {2022-05-10},
date = {2016-07-01},
year = 2016,
langid = {english},
keywords = {Cross-national, Harmonization, Interdisciplinary, Methodology, Surveys}
}
@online{re3data_cnef_2017,
author = {re3data.org},
publisher = {re3data.org - Registry of Research Data Repositories},
title = {Cross National Equivalent File {\textbar} {CNEF} editing status 2017-11-21},
url = {https://www.cnefdata.org/},
abstract = {High quality user-friendly household panel data package of equivalently defined variables for 9 general population household panel surveys.},
urldate = {2022-05-10},
year = {2017},
doi = {http://doi.org/10.17616/R3MM2B},
url = {http://doi.org/10.17616/R3MM2B}
}
@incollection{granda_harmonizing_2010,
title = {Harmonizing Survey Data},
isbn = {978-0-470-60992-7},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470609927.ch17},
abstract = {The ability to use population surveys to study social phenomena across time and across countries is a great achievement of the social sciences. To enable valid conclusions from this type of research, data from the respective surveys must be comparable. To ensure comparability, it is often necessary to harmonize data. This chapter distinguishes three approaches to harmonizing survey data. It discusses methods to assess the quality of harmonized data which also lead to specific requirements for the documentation and distribution of harmonized data. The chapter outlines recommendations for producers of harmonized datasets. Whatever the solution selected, comprehensive and structured documentation of all steps in the survey life cycle and all decisions made in the process of harmonizing data is essential. Dissemination of harmonized datasets has to include not only the harmonized data but also the original data and well structured documentation. Controlled Vocabulary Terms structured questionnaires; surveys},
pages = {315--332},
booktitle = {Survey Methods in Multinational, Multiregional, and Multicultural Contexts},
publisher = {John Wiley \& Sons, Ltd},
author = {Granda, Peter and Wolf, Christof and Hadorn, Reto},
urldate = {2022-05-10},
date = {2010},
year = {2010},
langid = {english},
doi = {10.1002/9780470609927.ch17},
note = {Section: 17
\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470609927.ch17},
keywords = {dissemination, harmonizing survey data, structured documentation}
}
@incollection{hoffmeyer-zlotnik_comparing_2003,
location = {Boston, {MA}},
title = {Comparing Demographic and Socio-Economic Variables Across Nations},
isbn = {978-1-4419-9186-7},
url = {https://doi.org/10.1007/978-1-4419-9186-7_21},
abstract = {Equivalence of measures in comparative survey research crossing language, cultural or system barriers is inevitable: Equivalence is the only meaningful criterion if data is to be compared from one context to another. However, equivalence of measures does not necessarily mean that the measurement instruments used in different countries are all the same. Instead it is essential that they measure the same dimension. Thus, functional equivalence is more precisely what is required (Dogan and Pelassy 1990). Using functional equivalent measures in cross-national surveys ensures that data can be compared because the resulting measures reflect the same phenomenon, that is the social circumstances that one wants to measure (see Przeworki and Teune 1970: 39; Wendt-Hildebrandt, Hildebrandt and Krebs 1983: 46). This makes the criterion of functional equivalence to a validity criterion. But how is functional equivalence of measures achieved?},
pages = {389--406},
booktitle = {Advances in Cross-National Comparison: A European Working Book for Demographic and Socio-Economic Variables},
publisher = {Springer {US}},
author = {Hoffmeyer-Zlotnik, Jürgen H. P. and Wolf, Christof},
editor = {Hoffmeyer-Zlotnik, Jürgen H. P. and Wolf, Christof},
urldate = {2022-05-10},
date = {2003},
year = {2003},
langid = {english},
doi = {10.1007/978-1-4419-9186-7_21},
keywords = {Common Definition, European Community Household Panel, Harmonise Measure, Measurement Instrument, National Concept}
}
@article{nissen_eurobarometer_2014,
title = {The Eurobarometer and the process of European integration},
volume = {48},
issn = {1573-7845},
url = {https://doi.org/10.1007/s11135-012-9797-x},
doi = {10.1007/s11135-012-9797-x},
abstract = {For nearly 40 years, the European Commission has observed the development of the European Union as it is reflected in public opinion. The Eurobarometer measures the European population’s attitudes about various issues related to Europe. The informational value of the Eurobarometer is viewed as quite high, since the surveys, which are conducted twice a year, generate a large quantity of data. This article investigates the role of the Eurobarometer in the process of European integration by analysing the methodological foundations of the Eurobarometer and discussing its weaknesses. The final section addresses the issue of whether the European Commission, as the contracting entity, utilizes the Eurobarometer as a political instrument to promote support for the process of European integration. It is argued here that the Commission’s instrumentalisation of the Eurobarometer jeopardizes its informational value, whereas at the same time the political benefits of this shift remain debatable.},
pages = {713--727},
number = {2},
journaltitle = {Quality \& Quantity},
shortjournal = {Qual Quant},
author = {Nissen, Sylke},
urldate = {2022-05-10},
date = {2014-03-01},
data = {2014},
langid = {english},
keywords = {Eurobarometer, European Commission, Influence of contracting entity, Sampling method, Survey methodology}
}
@article{doiron_facilitating_2012,
title = {Facilitating collaborative research: Implementing a platform supporting data harmonization and pooling},
volume = {21},
rights = {Copyright (c) 2015 Norsk epidemiologi},
issn = {0803-2491},
url = {https://www.ntnu.no/ojs/index.php/norepid/article/view/1497},
doi = {10.5324/nje.v21i2.1497},
shorttitle = {Facilitating collaborative research},
abstract = {-},
number = {2},
journaltitle = {Norsk Epidemiologi},
author = {Doiron, Dany and Raina, Parminder and Raina, Parminder and L’Heureux, François and Fortier, Isabel},
urldate = {2022-05-10},
date = {2012-04-13},
year = {2014},
langid = {english},
note = {Number: 2}
}