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UID:pretalx-2026-HP3PFL@conferences.acspri.org.au
DTSTART;TZID=AEST:20261125T114500
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DESCRIPTION:From among the suite of longitudinal models available\, the ran
 dom-intercept cross-lagged panel model (RI-CLPM) of 2017 stands as the eas
 iest to interpret and most effective model for estimating causal effects. 
 On triangulating\, specifically\, the cross-lagged paths of these RI-CLPM\
 , the is literature evolving before our very eyes. This presentation will 
 review the history of this literature and will unpack the rather technical
  models currently available in a user-friendly way.  The example data will
  be from different sources.
DTSTAMP:20261102T131212Z
LOCATION:Sutherland Room
SUMMARY:Current options available for triangulating the cross-lagged effect
 s of the RI-CLPM - William Coventry
URL:https://conferences.acspri.org.au/2026/talk/HP3PFL/
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