This book explains harmonisation techniques that can be used in survey research to align national systems of categories and definitions in such a way that comparison is possible across countries and cultures. It provides an introduction to instruments for collecting internationally comparable data of interest to survey researchers. It shows how seven key demographic and socio-economic variables can be harmonised and employed in European comparative surveys. The seven key variables discussed in detail are: education, occupation, income, activity status, private household, ethnicity, and family. These demographic and socio-economic variables are background variables that no survey can do without. They frequently have the greatest explanatory capacity to analyse social structures, and are a mirror image of the way societies are organised nationally. This becomes readily apparent when one attempts, for example, to compare national education systems. Moreover, a comparison of the national definitions of concepts such as "private household" reveals several different historically and culturally shaped underlying concepts. Indeed, some European countries do not even have a word for "private household". Hence such national definitions and categories cannot simply be translated from one culture to another. They must be harmonised. ​

Above all, this book focuses on the application of sociodemographic survey questions. Based on theoretical foundations, it addresses the operationalization of variables and presents socio-demographic questionnaire modules for within- and across-country comparative survey research. The book pursues three main objectives: to provide a thorough and comprehensive overview of the survey instruments currently available for the measurement of sociodemographic variables in cross-national comparative research; to offer the reader a set of harmonized international demographic standards; and to show how these standards can be implemented by the various parties involved in international comparative surveys – from the central project coordinators, to the researchers on the national survey teams, to the fieldwork agencies and their interviewers, to respondents, and eventually, to the data processing experts preparing the datasets for comparative analysis. The book offers a valuable resource for researchers, practitioners and students actively involved in producing and analyzing sociodemographic survey data. The typical readers will be social science researchers, qualified consultants and professionals interested in the field of (comparative) survey research. The book can also serve as a useful supplement to introductory textbooks on survey methodology and is suitable for Bachelor and Master students of the social sciences.

This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as well as the potential opportunities presented by new approaches to survey research, including in the development of policy. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data. The Handbook is divided into four key sections: the challenges faced in conventional survey research; opportunities to expand data collection; methods of linking survey data with external sources; and, improving research transparency and data dissemination, with a focus on data curation, evaluating the usability of survey project websites, and the credibility of survey-based social science. Chapter 23 of this book is open access under a CC BY 4.0 license at link.springer.com.

The book consists of five parts and a concluding chapter. Part 1 covers general problems and presents solutions for the harmonisation of data from different national and/or cultural contexts. In the second part EUROSTAT and ESOMAR present their established standard instruments. Tested instruments each covering one variable (i.e. occupation, education) are presented in the third part. The fourth part again includes suggested tools for the harmonisation of single variables for which standardised instruments are not yet available (i.e. age, religion, ethnicity, household, family, income). The last part presents selected empirical analyses demonstrating the use and fruitfulness of instruments presented before. This book is mainly written for two groups. First, researchers and practitioners involved in comparative research in Europe. Second, researchers working with data of the statistical offices of European countries and data from institutions of the European Union.

This book presents an integrated international exploration of social well-being from a comparative standpoint: how it is framed, how it is perceived by the people, and how it is exploited by the state. It provides a genuine multicultural and multidimensional understanding of social well-being in an Asian context by showing the strength of comparative analysis. The idiosyncrasy of an individual society is reinterpreted through the universality of harmonized data analysis and imaginative discussion of the findings. The book offers the reader a deep understanding of how social well-being is framed in eight Asian countries, how it is contextualized in each society, and how it is correlated with the concept of development and sustainability. Articulated by carefully chosen examples, historical background, and interpretation of the latest data analysis, this book is highly recommended to readers who seek to understand the relationship among the well-being of individuals, national development, and global sustainability.

Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.

Exploring how family life has radically changed in recent decades, this comprehensive Research Handbook tracks the latest developments and trends in scholarly work on the family. With a particular focus on the European context, it addresses current debates and offers insights into key topics including: the division of housework, family forms and living arrangements, intergenerational relationships, partner choice, divorce and fertility behaviour.

First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series. Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their requirements, statistical properties and their substantive contribution.

Drawing upon perspectives from across the globe and employing an interdisciplinary life course approach, this handbook explores the production and reproduction of different types of inequality across a variety of social contexts. Inequalities are not static, easily measurable, and essentially quantifiable circumstances of life. They are processes which impact on individuals throughout the life course, interacting with each other, accumulating, attenuating, reproducing, or distorting themselves along the way. The chapters in this handbook examine various types of inequality, such as economic, gender, racial, and ethnic inequalities, and analyse how these inequalities manifest themselves within different aspects of society, including health, education, and the family, at multiple levels and dimensions. The handbook also tackles the global COVID-19 pandemic and its striking impact on the production and intensification of inequalities. The interdisciplinary life course approach utilised in this handbook combines quantitative and qualitative methods to bridge the gap between theory and practice and offer strategies and principles for identifying and tackling issues of inequality. This book will be indispensable for students and researchers as well as activists and policy makers interested in understanding and eradicating the processes of production, reproduction, and perpetuation of inequalities.

Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research.