BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//sips2026-dc//talk//ETME9K
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-sips2026-dc-ETME9K@pretalx.com
DTSTART;TZID=EST:20260609T143000
DTEND;TZID=EST:20260609T143500
DESCRIPTION:I will briefly present archival and survey evidence to argue th
 at we should be attending more to situations where measurement is not only
  imprecise but systematically skewed through the self-reporting process. T
 ake participants’ age as an example: if research participants who are as
 ked their age responded by rounding systematically to the nearest whole ye
 ar\, then means reported to 1-2 decimal places (the field’s norm) might 
 technically be too precise\, but they would at least be more or less accur
 ate. Instead\, what we see in practice is that the age mean computed from 
 participant reports is approximately half a year lower than the age mean c
 omputed from their real dates of birth.  As researchers handling self-repo
 rted age and similar types of data (e.g.\, length of relationships\; durat
 ion of schooling) will naturally want to avoid this\, I will conclude with
  practice recommendations.
DTSTAMP:20260524T192111Z
LOCATION:AUDITORIUM
SUMMARY:Managing the risk of spurious precision and accidental inaccuracy w
 ith certain types of self-report data - Jessica Salvatore
URL:https://pretalx.com/sips2026-dc/talk/ETME9K/
END:VEVENT
END:VCALENDAR