Introduction to quantitative time-diary analysis
Date:
03/11/2022 - 10/11/2022
Organised by:
NCRM/UCL
Presenter:
Dr Pierre Walthéry
Level:
Intermediate (some prior knowledge)
Contact:
IOE, UCL's Faculty of Education and Society
Delia Maria Mihoc - Short Course Coordinator
ioe.shortcourses@ucl.ac.uk
Venue: Online
Description:
Description
This online short course aims to introduce participants to time diary analysis, a multidisciplinary field which has made a sustained contribution to social science over the last 50 years. It is targeted at academics, doctoral students, post-doctoral as well as public or private sector researchers interested in studying the way people spend their time throughout the day.
This course has the support of the UK Data Service.
It requires basic to intermediate knowledge of statistics and a basic experience of statistical programming. This short course aims to introduce participants to time diary analysis, a multidisciplinary field which has made a sustained contribution to social science over the last 50 years. It is targeted at academics, doctoral students, post-doctoral as well as public or private sector researchers interested in studying the way people spend their time throughout the day.
This course requires basic to intermediate knowledge of statistics and a basic experience of statistical programming.
Course structure
The course covers:
- Historical outline of time-diaries and time use research
- Nomenclatures of activities, survey designs & time diary dataset structure
- Deriving duration of and participation in activities from datasets in long and wide formats
- Multivariate analysis of aggregate time diary data
- Weekly work schedules and working time
- Weighting and accounting for clustering of time diary data
Event Outline
- The course will consist of two afternoons which can be taken either as a whole or separately
- Each afternoon will consist of 2-3 sessions, online via Zoom with a presentation followed by a computer demonstration and questions and answers
- Participants are invited to follow and replicate on their own computer the code demonstrated during the session
Thursday 3 November 2022 2 PM- Introduction to time diary data analysis
Session 1
2.00 Session 1 Origins and milestones of time diary analysis; structure and design of time diary surveys
2.45 Questions and answers, break
Session 2
3.00 Structure and design of time diary surveys (continued). Estimating duration and participation: day- and person-level aggregate statistics
3.45 Q&A, break
Session 3
4.00 Estimating duration and participation (continued); tempograms
4.30 Q&A; discussion of participants research ideas and interest
Thursday 10 November 2022 2PM- Working with time diary data
Session 1
2.00 Multivariate analysis of time-diary data: modelling duration and participation
2.45 Questions and answers, break
Session 2
3.00 Special topics: work schedule; weighting; robust estimates
3.45 Q&A, break
Session 3
4.00 Estimating duration and participation (continued); Q&A; discussion of participants research ideas and interest
Learning Outcomes
By the end of the course participants will be able to:
- identify significant milestones and contributions to time diary research
- identify the main characteristics of time diaries, time diary surveys, and datasets
- derive estimates from time diary data and use them in their own analysis.
Participants will receive written slides and syntax files electronically after the course (by email).
Participants are advised to use their own laptop with the latest version of the R software and the dplyr and ggplot2 packages installed.
No preparatory readings are required. People can visit the CTUR website for general information: https://www.timeuse.org
Presenter
Dr Pierre Walthéry is a Senior Research Fellow at the Centre for Time Use Research (CTUR), part of the Social Research Institute (UCL). His research cover work and employment, gender inequality and subjective wellbeing through the prism of time diary. Recent work includes exploring enjoyment at work and the sharing of childcare using the 2015 UK Time Use Survey, and more recently, occupational risk associated with COVID 19.
Cost:
The fee per teaching day is £30 for students registered at UK/EU University, £60 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 and £100 for all other participants. The course is run across two afternoons and equates to one teaching day for payment purposes. 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.
Cost:
• £30 per day for students registered at University. • £60 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions. • £100 per day for all other participants
Website and registration:
Region:
International
Keywords:
Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, time use, time diary research, secondary analysis, Survey Data Analysis and Estimation, Multinational Time Use Study (MTUS), Daily activity duration
Related publications and presentations:
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis