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UID:pretalx-sips2026-dc-7PRU8J@pretalx.com
DTSTART;TZID=EST:20260608T113500
DTEND;TZID=EST:20260608T114000
DESCRIPTION:What do you do with participants who don't cooperate with instr
 uctions in a given condition? We examined an intention-to-treat (ITT) appr
 oach alongside what happens when noncomplying participants are dropped fro
 m the analysis to demonstrate how results change under these circumstances
 \; specifically\, how findings are pushed into statistical significance wh
 ere there otherwise would not be any. But the problem with using an ITT ap
 proach is that it can weaken statistical power and make effect sizes appea
 r smaller. As an alternate approach\, we describe a way of keeping everyon
 e while maintaining the ability to claim causality using a method borrowed
  from econometrics\, an instrumental variable (IV). Using examples from pr
 eviously published research\, we explain this concept in nontechnical lang
 uage\, so that researchers in the psychological sciences can adapt and imp
 lement IV analyses in their own experiments\, avoiding altogether the erro
 r of breaking randomization as a result of dropping participants.
DTSTAMP:20260524T183855Z
LOCATION:AUDITORIUM
SUMMARY:Don't Drop Noncompliers: Instrumental Variables and Encouragement D
 esigns Explained Clearly - Samantha James-Brown
URL:https://pretalx.com/sips2026-dc/talk/7PRU8J/
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