Quantitative Methods in the Social Sciences 2 (QMSS 2)

Activities

This Research Networking Programme will be organised in teams, each of which will be in charge of organising workshops and summer schools. For a list of themes and team leaders, please see below.

More information is available on the dedicated QMSS 2 website.

Social interactions and social networks

The study of social interactions, or social networks, is central to understanding the dynamics of the relations between social actors, as well as their behaviour and performance. Social actor as used here can refer to individuals, companies, associations, countries, etc. Basic to the study of social networks is the insight that a dyadic focus is not enough for understanding social interactions, but indirect ties, third party-effects, and other more complex patterns of ties between multiple actors have profound consequences for their behaviour. Furthermore, interactions between social actors lead to feedback patterns and phenomena that can be studied only longitudinally.

Team Leaders

AnuskaFerligojE-Mail
University of LjubljanaFaculty of Social SciencesCenter of Methodology and InformaticsLjubljanaSlovenia
TomSnijdersE-Mail
University of GroningenFaculty of Behavioural and Social SciencesDepartment of SociologyInteruniversity Center for Social Science Theory and Methodology (ICS)GroningenNetherlands



Analysing the lifecourse

Lifecourse analysis is vital to understanding the relationship between life events (e.g., migration, parenthood, partnerships, employment) and long-term outcomes over lifecourse trajectories. The lifecourse consists of repeated events (i.e., multiple episodes) and dynamic interrelated processes with a focus often on the frequency, timing and duration, sequencing, causality and status dependence of events.

Team Leader

Hans-PeterBlossfeldE-Mail
Otto-Friedrich-Universität BambergFakultät Sozial- und WirtschaftswissenschaftenLehrstuhl für Soziologie IBambergGermany



Cross-national comparisons

Cross-national comparative analysis is increasingly important for understanding particularities, communalities, and change in European societies and for testing theories in the fields of sociology, political science, and (social) psychology. A growing number of datasets (three waves of ESS, several waves of EVS, ISSP, WVS) designed to provide comparability over most European countries, open new opportunities for substantive and methodological research – but also raise challenges.

Team Leader

JaakBillietE-Mail
Katolieke Universiteit LeuvenFaculty of Social SciencesCentre for Sociological Research (CeSO)LeuvenBelgium



Immigration and population dynamics

The research group will focus on methodological challenges related to the impact of world migration on European countries’ population composition and distribution. Debates over segregation, integration and social cohesion make the study of the demographic consequences of immigration and the population dynamics of ethnic minorities a central concern of European social policy.

Team Leader

LudiSimpsonE-Mail
University of ManchesterHumanitiesCCSRManchesterUnited Kingdom



Survey design and quality

In terms of Total Survey Error (TSE) - sampling error plus non-sampling errors – error due to the design and low quality of surveys is much greater than sampling error. However, assessing the contribution of the major sources of non-sampling error (frame, non-response, measurement, or processing) plus sampling error is a major challenge inherent in the concept of TSE. If TSE is not known then substantive analyses are open to serious methodological criticism. Therefore an understanding of TSE should be part of the basic knowledge of all survey researchers and analysts.

Team Leaders

DominiqueJoyeE-Mail
Université de LausanneFaculté des sciences sociales et politiquesInstitut des sciences socialesLausanneSwitzerland
PeterMohlerE-Mail
Mannheim UniversityFakultät für SozialwissenschaftenSoziologieLeinsweilerGermany