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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260430T102529Z
DTSTART:20260604T120000Z
DTEND:20260604T153000Z
SUMMARY:Introduction to time diary data (part one)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}j25b-molc8j
 2v-tkovvu
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\, 
 the first will be held on 4 June and the second on 11 June. Attendance a
 t both is not mandatory but is strongly encouraged if you are new to tim
 e diaries. Each afternoon includes two to three online sessions\, combin
 ing presentations\, live coding demonstrations and Q&A. Participants are
  encouraged to follow and reproduce the code on their own computers duri
 ng the sessions.\n\nPrerequisites \n\nParticipants should have:\n\n- Bas
 ic to intermediate knowledge of statistics.\n- Some experience with prog
 ramming/using syntax (Stata\, R\, Python).\n- Familiarity with R is desi
 rable but not essential.\n\nTopics covered \n\n- A brief history of time
  use research.\n- Activity classifications\, survey designs\, and the st
 ructure of time diary datasets.\n- Estimating duration of and participat
 ion in activities.\n- Multivariate analysis of aggregated time diary dat
 a.\n- Weekly work schedules and working time patterns.\n- Weighting proc
 edures and accounting for clustering in time diary data.\n\nTarget audie
 nce: The course is aimed at academics\, doctoral and post-doctoral resea
 rchers\, and analysts who are interested in studying how people spend th
 eir time.\n\nPresenter: Pierre Walthéry\, UK Data Service. Pierre is par
 t of the Training and User Support team at the UK Data Service and is th
 e organiser of this course. He holds a PhD in Social Statistics and his 
 work focuses on skills at the intersection of traditional and emerging d
 ata analysis techniques.\n\nParticipants will receive copies of slides a
 nd R syntax files after the course.\n\nRecordings of UK Data Service eve
 nts are made available on our YouTube channel and\, together with the sl
 ides\, on our past events pages soon after the event has taken place.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Online
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