5th July – WZB, Berlin
The methodological workshop provided a one-day introduction to sequence analysis, a methodological framework to study sequences (or trajectories) of categorical states, such as familial or professional trajectories. The workshop began with a global overview of the uses of sequences analysis in the social sciences before providing a practical introduction on how to run the analysis in R with TraMineR using examples from GGS data. After a short introduction to R, methods available to describe and visualize sets of sequences of categorical states were reviewed. The creation of a typology of trajectories was then discussed.
Bio of the instructor
Matthias Studer is Senior Researcher at the Swiss NCCR program “LIVES overcoming vulnerability: life course perspectives,” and is one of the developers of the TraMineR, an R library for sequence analysis. His research interests include sequence analysis, gendered career inequalities, labor market and social policy evaluation. He published several papers on sequences analysis in international journal such as in Sociological Methods and Research, and more recently a comparison of sequence analysis distance measures in the Journal of the Royal Statistical Society: Series A.
The course was mainly based on the following articles:
Gabadinho, A., G. Ritschard, N. S. Müller and M. Studer (2011). Analyzing and Visualizing State Sequences in R with TraMineR. Journal of Statistical Software 40 (4), 1-37.
Studer, M. (2013).WeightedCluster library manual: A practical guide to creating typologies of trajectories in the social sciences with R. LIVES Working Papers 24, NCCR LIVES, Switzerland.
Studer, M. and Ritschard, G. (2016), What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures. Journal of the Royal Statistical Society: Series A, 179: 481–511. doi:10.1111/rssa.12125
Venue: Campus WU (Vienna University of Economics and Business), Welthandelsplatz 1, 1020 Vienna, Austria
The Vienna Institute of Demography, in cooperation with the Consortium Board of the Generations and Gender Programme, hosted the 3rd GGP User Conference. This international conference brought together researchers working with data from the Generations and Gender Survey and the GGP Contextual Database to present and discuss their most recent methodological approaches and empirical findings. The conference provided a forum for exchange of ideas among existing as well as new GGP users, policy makers and the research community at large.
Papers covered a range of substantive and methodological issues including Survey methods and implementation, Data quality and validation, Methodological considerations in studying demographic behaviour (e.g. accounting for contextual influences), Subjective wellbeing and demographic outcomes, Labour market and economic well-being, Intergenerational relationships, Grandparenthood, Retirement, Fertility of subpopulations and different social groups, Fertility intentions and their realization, Division of (un)paid work, Cohabitation, Fertility, Union formation and dissolution.
Local Organizing Committee: Isabella Buber-Ennser, Éva Beaujouan, Maria Winkler-Dworak, Lisa Janisch, Inga Freund
Scientific Committee: Isabella Buber-Ennser (ViD), Tom Emery (NIDI), Anne Gauthier (NIDI), Karel Neels (University of Antwerp), Monika Mynarska (Warsaw School of Economics)
The DONDENA centre in Milan– in cooperation with the Consortium Board of the Generations and Gender Programme and the Population Unit of the UNECE – is organizing the2nd User Conference of the GGP.
This international conference aims to bring together researchers working with data from the Generations and Gender Survey and the GGP Contextual Database, and invites them to present and discuss their most recent methodological approaches and empirical findings. The conference provides a forum for exchange of ideas among existing as well as new potential GGP users, policy makers and the research community at large.
Papers will cover a wide range of substantive and methodological issues: Survey methods and implementation, Data quality and validation, Methodological considerations in studying demographic behaviour (e.g. accounting for contextual influences), Subjective wellbeing and demographic outcomes, Labour market and economic well-being, Intergenerational relationships, Grandparenthood, Retirement, Fertility of subpopulations and different social groups, Fertility intentions and their realization, Division of (un)paid work, Cohabitation, Fertility, Union formation and dissolution, The organizers especially encourage the submission of papers using longitudinal data.
Arnstein Aassve (DONDENA, Bocconi University)
Pearl Dykstra (Erasmus University)
Anne Gauthier (NIDI)
Sebastian Klüsener (MPIDR)
Trude Lappegård (Statistics Norway)
Anna Matysiak (Warsaw School of Economics)
Cornelia Mureşan (Babeş-Bolyai University)
Elizabeth Thomson (SUDA, University of Stockholm)
This GGP methodological workshop is organized to familiarize the GGP country teams and users with the lessons learnt in the GGP re-design study (2009-2012). During the period of last four years a decade of GGP experiences have been evaluated and necessary enhancements proposed in order to prepare the GGP as a sustainable research infrastructure of the decades to come. The workshop will introduce one of the major proposed innovations of the GGP in the new future – a mixed mode survey design.
When planning a survey, many decisions have to be made and one of the most important decisions concerns the choice of data collection mode. Data collection in surveys can be carried out in several modes, such as face-to-face, telephone, self-administered mail questionnaires, and web surveys. The availability of different modes of data collection leads to the methodological question: which method is best? Each method has its advantages and disadvantages; each method also makes different logistic demands. Sometimes the choice for a particular data collection is easy and straightforward. But often the situation is more complex and one single method will not suffice. Therefore multiple modes of data collection or mixed modes have become more and more popular in survey practice. Recommendations for the future implementations of the GGP also call for the use of multiple modes of data collection in order to reduce the cost of data collection, while retaining the high level of data quality.
The topic of this workshop is the methodology for mixed-mode surveys. We will provide an introduction and overview of methodological issues involved in the design, implementation, and evaluation of mixed mode surveys. We will discuss advantages and disadvantages of mixed-mode survey design and review common forms of mixed-mode design, reasons for using more than one mode in a survey and the consequences of mixed-mode. The emphasis will be on data quality and on ensuring measurement equivalence in a mixed-mode design. Practical and theoretical considerations for the design and implementation of mixed-mode surveys will be discussed, we will not focus on the ICT aspects of mixed-mode design (software, programming) nor on the statistical models for adjustment, although general principles of adjustment will be reviewed.
The objective is to provide the participants with a thorough background on mixed mode methodology and with an empirical knowledge base on the implications of mixed-mode for questionnaire design, total survey error and logistics. A text on mixed-mode design and a power-point handout will be available for all participants.
The organizers and principal lecturers are prof. dr. Edith de Leeuw and prof. dr. Joop Hox.
Participation is free of charge. Priority will be given to the representatives of the GGP National teams (members of the NNFP). Participants are expected to cover their own travel and accommodation costs.
To apply, please write an e-mail to: firstname.lastname@example.org