BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260430T102714Z
DTSTART:20260611T120000Z
DTEND:20260611T153000Z
SUMMARY:Introduction to time diary data (part two)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}j25c-molcas
 6t-41i3vy
DESCRIPTION:This free online short course introduces participants to time
  diary data analysis\, a multidisciplinary field that has made a sustain
 ed contribution to the social sciences for over 50 years. The course com
 bines an introduction to the basic concepts of time use analysis with ha
 nds-on practical sessions using R. Exercises will draw on data from the 
 Multinational Time Use Study (MTUS) and the UK Time Use Study. Participa
 nts will also have opportunities to discuss their own research ideas and
  applications.\n\nEvent Format \n\nThe course consists of two sessions. 
 This is the second session in the series\, the first session is on 4 Jun
 e. Attendance at both is not mandatory but is strongly encouraged if you
  are new to time diaries. Each afternoon includes two to three online se
 ssions\, combining presentations\, live coding demonstrations and Q&A. P
 articipants are encouraged to follow and reproduce the code on their own
  computers during the sessions.\n\nPrerequisites \n\nParticipants should
  have:\n\n- Basic to intermediate knowledge of statistics.\n- Some exper
 ience with programming/using syntax (Stata\, R\, Python).\n- Familiarity
  with R is desirable but not essential.\n\nTopics covered \n\n- A brief 
 history of time use research.\n- Activity classifications\, survey desig
 ns\, and the structure of time diary datasets.\n- Estimating duration of
  and participation in activities.\n- Multivariate analysis of aggregated
  time diary data.\n- Weekly work schedules and working time patterns.\n-
  Weighting procedures and accounting for clustering in time diary data.\
 n\nTarget audience: The course is aimed at academics\, doctoral and post
 -doctoral researchers\, and analysts who are interested in studying how 
 people spend their time.\n\nPresenter: Pierre Walthéry\, UK Data Service
 . Pierre is part of the Training and User Support team at the UK Data Se
 rvice and is the organiser of this course. He holds a PhD in Social Stat
 istics\, and his work focuses on skills at the intersection of tradition
 al and emerging data analysis techniques.\n\nParticipants will receive c
 opies of slides and R syntax files after the course.\n\nRecordings of UK
  Data Service events are made available on our YouTube channel and\, tog
 ether with the slides\, on our past events pages soon after the event ha
 s taken place.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Online
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