The European Social Survey
An NTTS 2017 satellite session; Brussels 16 March 2017 (18:30-20:30).
The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted across Europe since 2001. It’s aim is to measure attitudes, beliefs and behaviour patterns in a changing world, and to improve survey methodology in cross-national studies.
Both the ESS and the European Statistical System attach great importance to minimizing survey errors. Another quality criterion for European statistics is comparability across countries and over time. In the ESS this is one of the main quality criteria. Other key characteristics of the ESS are total transparency of methods and documentation, and free access to the data for everybody.
The session will give an overview of the design aspects of the ESS, and will provide the opportunity to discuss the pros and cons of the approaches of both ESS’s.
- The other ESS: the European Social Survey and the European Statistical System
Ineke Stoop (The Netherlands Institute for Social Research/SCP)
- A Model for the Cross-National Questionnaire Design Lifecycle
Diana Zavala-Rojas (Universitat Pompeu Fabra), Rory Fitzgerald (City University)
- Using mixed modes in survey data research: Results from six experiments
Rory Fitzgerald (European Social Survey ERIC)
- A new Fieldwork Management and Monitoring Tool for the European Social Survey
Sarah Butt (City, University of London)
- Weighting and reweighting in surveys
Seppo Laaksonen (University of Helsinki)
- A clustering view on ESS measures of political interest: an EM-MML approach
Cláudia Silvestre (Escola Superior de Comunicação Social, Instituto Politécnico de Lisboa, Portugal), Margarida M. G. Cardoso (Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL), Lisboa, Portugal), Mário A.T. Figueiredo (Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Portugal)
- General discussion on the similarities and dissimilarities between the statistical and academic/comparative approach to surveys