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SUMMARY:On Latent Change Model Choice in Longitudinal Studies - Dr. Tenko 
 Raykov\, Michigan State University
DTSTART:20111202T150000Z
DTEND:20111202T160000Z
UID:TALK34460@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:An interval estimation procedure for proportion explained obse
 rved variance in latent curve analysis is discussed\, which can be used as
  an aid in the process of choosing between linear and nonlinear models of 
 change.  The method allows obtaining confidence intervals for the R-square
 d indices associated with repeatedly followed measures in longitudinal stu
 dies.  In addition to facilitating evaluation of local model fit\, the app
 roach is helpful for purposes of differentiating between plausible models 
 stipulating different patterns of change over time\, particularly in empir
 ical situations characterized by large samples and high statistical power.
   The procedure is also applicable in cross-sectional studies\, as well as
  with general structural equation models\, and extends the set of means fo
 r their fit evaluation.  The method is illustrated using data from a natio
 nally representative study of older adults.
LOCATION:Seminar Room\, The Mond Building\, New Museums Site
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