Time-Use Data and Research (online)

Date:

17/11/2022

Organised by:

The University of Edinburgh

Presenter:

Dr Stella Chatzitheochari is Reader in Sociology at the University of Warwick

Level:

Intermediate (some prior knowledge)

Contact:

Laura Marshall @ Usher Communications
Usher.communications@ed.ac.uk
Working Week: Monday - Thursday

video conference logo

Venue: Online

Description:

This one day-course is designed for researchers that are interested in time-use research. Participants will be introduced to the state of art in time-use research and the analytical opportunities provided by existing time-use resources in the United Kingdom. The course will also cover topics surrounding time-use data collection, including diary design as well as advantages and disadvantages of different modes of time-diary data collection, including web and app technologies. The course will also cover the main statistical modelling techniques that can be applied to time-use data. The course is suitable for researchers interested in collecting time-use data as well as those interested in secondary analyses of large-scale time-use surveys.

Course Timings: 10:00 - 16:00

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 foundation for future engagement at practical workshops that are designed to provide hands-on training in time-use 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-level degree)

Cost:

The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £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:

Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Digital, Descriptive research, exploratory research, survey research, secondary analysis, diary methods, online data collection, quality in quantitative research

Related publications and presentations:

Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis

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