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Longitudinal Data and Research - A deep dive (online)

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Course Information

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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 benefit from the addition of longitudinal data analysis, and some research questions can only feasibly be answered using longitudinal data.

This is an intensive one-day wokshop on longitudinal data and research using statistical methods. The event is intended to be engaging and informative and there will be audience participation and opportunities to ask questions.

Researchers who are at any career stage are welcome.

Course Timings: 09:00 - 16:00

 

Course Code

NCRMEDLDR

Course Leader

Professor Vernon Gayle
Course Description

 

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).

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.

Access to specialist software and a high level of mathematical ability are 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.

This workshop will be at an intermediate level and will cover the following ideas and concepts:

•    The research value of longitudinal data
•    Sources of longitudinal data
•    Analysing repeated cross-sectional data
•    Duration models
•    Panel data models
•    The workflow in longitudinal data analysis
•    Statistical data analysis software

By the end of the course participants will:

•    Have an understanding of longitudinal data
•    Have an understanding of statistical approaches to analysing longitudinal data
•    Understand how to analyse repeated cross-sectional data
•    Understand duration models
•    Understand panel data models
•    Be aware of some statistical data analysis software solutions

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27/02/202427/02/20240[Read More]

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