Longitudinal Data and Research (online) (few places remaining)

Date:

13/10/2022 - 14/10/2022

Organised by:

The University of Edinburgh

Presenter:

Professor Vernon Gayle is a Co-Director of the ESRC National Centre for Research Methods. He is Professor of Sociology and Social Statistics at the University of Edinburgh.

Level:

Intermediate (some prior knowledge)

Contact:

Laura Marshall
L.marshall@ed.ac.uk
Working Week: Monday - Thursday

Venue: Online

Description:

Across the social sciences there is widespread agreement that longitudinal data (e.g. studies that repeatedly contact participants) 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 opportunities to asks questions.

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 an NCRM workshop on Statistical Modelling.

Cost:

The fee per teaching day is: £30 per day for students registered at a University / £60 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £100 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Region:

Scotland

Keywords:

Longitudinal Research , Cohort study, Longitudinal Data Analysis, • Longitudinal data, Longitudinal research, Cohort studies, Household panel studies, Repeated cross-sectional data, Panel models, Duration models, The workflow

Related publications and presentations:

Longitudinal Research
Cohort study
Longitudinal Data Analysis

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