Christof Wolf – författare

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:

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.

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:

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.

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.

'The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.'

- John Fox, Professor, Department of Sociology, McMaster University

'The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.'

- Ben Jann, Executive Director, Institute of Sociology, University of Bern

'Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.'

-Tom Smith, Senior Fellow, NORC, University of Chicago

Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities.

Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.  

Survey Methodology is becoming a more structuredfield of research, deserving of more and more academic attention. TheSAGE Handbook of Survey Methodology explores boththe increasingly scientific endeavour of surveys and their growing complexity,as different data collection modes and information sources are combined.

The handbooktakes a global approach, with a team of international experts looking at localand national specificities, as well as problems of cross-national, comparativesurvey research. The chapters are organized into seven major sections, each ofwhich represents a stage in the survey life-cycle:

The SAGE Handbook of SurveyMethodology is a landmark andessential tool for any scholar within the social sciences.

′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′

- John Fox, Professor, Department of Sociology, McMaster University

′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′

- Ben Jann, Executive Director, Institute of Sociology, University of Bern

′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′

-Tom Smith, Senior Fellow, NORC, University of Chicago

Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities.

Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.  

Survey Methodology is becoming a more structuredfield of research, deserving of more and more academic attention. TheSAGE Handbook of Survey Methodology explores boththe increasingly scientific endeavour of surveys and their growing complexity,as different data collection modes and information sources are combined.

The handbooktakes a global approach, with a team of international experts looking at localand national specificities, as well as problems of cross-national, comparativesurvey research. The chapters are organized into seven major sections, each ofwhich represents a stage in the survey life-cycle:

The SAGE Handbook of SurveyMethodology is a landmark andessential tool for any scholar within the social sciences. 

Die Qualitätssicherung sozialwissenschaftlicher Umfragen ist in den letzten Jahren zu einem großen Thema geworden. Bilden Stichproben mit vergleichsweise geringer Beteiligungsquote noch die Lebenslagen, Einstellungen und Verhaltensweisen der jeweiligen Grundgesamtheit ab? Wie groß ist ihre Selektivität bzw. ihre Verzerrung, also der Nonresponse Bias? Wie geeignet sind Gewichtungs- und Hochrechnungsverfahren, um trotz geringer Ausschöpfungsquoten gleichwohl verallgemeinerbare Schlüsse auf die Grundgesamtheit ziehen zu können?

Das Buch bereichert den Stand der Forschung im Bereich Surveymethodologie und leistet einen lesenswerten Beitrag zur gesamten surveydatengestützten quantitativen empirischen Sozialforschung.