Training and Events
Longitudinal Data and Research (postponed)
|The University of Edinburgh|
Professor Vernon Gayle is a Co-Director of the ESRC National Centre for Research Methods.
08/04/2020 - 09/04/2020
Day 1: Old Medical School, Teviot Place, Edinburgh
View in Google Maps (EH8 9LD)
Across the social sciences there is widespread agreement that longitudinal data (e.g. studies that repeatedly contact individuals) provides powerful research resources to examine both social change and social stability. There is now a broad portfolio of longitudinal data available to social science researchers. Many social science research questions can be adequately answered without longitudinal data; however, most research projects will bene?t from the addition of longitudinal data analysis, and some research questions can only feasibly be answered using longitudinal data.
This is a two day workshop on longitudinal data and research using statistical methods.
The workshop is specifically designed for social scientists, and social science data and examples will be showcased throughout the workshop. The workshop will focus on the research value of longitudinal data and explore sources of longitudinal data. Participants will be introduced to the analysis of repeated cross-sectional data, duration models and models for panel data. The emphasis will be on interpreting outputs (e.g. from data analysis software packages) and understanding results (e.g. in published papers).
The event is intended to be engaging and informative and there will be audience participation and practical demonstrations.
This is not a practical workshop and it does not provide training in the use of data analysis software. It will however provide a strong theoretical foundation for future engagement at practical workshops that are designed to provide hands-on training in data analysis.
A high level of mathematical ability is not required, but participants should ideally have undertaken an introductory statistics and data analysis course (e.g. a semester long module as part of a Masters degree) or have attended the one day workshop on Statistical Modelling (held the day before).
Intermediate (some prior knowledge)
The fee per teaching day is:
Website and registration
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