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SUMMARY:Training Session: Structural Equation Modelling – Developing Mod
 els - Dr Zsolt Lavicza\, Faculty of Education
DTSTART:20141106T090000Z
DTEND:20141106T120000Z
UID:TALK55730@talks.cam.ac.uk
CONTACT:Lucian Stephenson
DESCRIPTION:Structural Equation Modelling (SEM)\, also known as analysis o
 f covariance structures\, is a powerful statistical methodology that takes
  confirmatory approach to the analysis of various dataset usually collecte
 d in the Social Sciences. SEM simultaneously uses techniques from multiple
  regression\, path analysis\, and factor analyses. Based on these techniqu
 es researchers can test theories/hypotheses for their work. In the session
 \, we will use the statistical package AMOS to generate and test models. T
 his session will offer a basic introduction to SEM for beginners as well a
 s it will offer opportunities to develop more complex models for those par
 ticipated in last year’s SEM sessions. \nPlease bring your own datasets 
 or research designs with you as I hope to discuss data collection and mode
 ls for participants’ own research. \n\n*Suggested Reading*\n\nBryne\, B.
  (2009) Structural Equation Modelling With AMOS: Basic Concepts\, Applicat
 ions\, and Programming (2nd ed.). Lawrence Erlbraum Associates\, Mahwah\, 
 NJ.\nField\, A. (2013) Discovering Statistics using SPSS (4th ed.). London
 : Sage.\n\n*Register now!*\n
LOCATION:Faculty of Education\, 184 Hills Road\, Cambridge\, CB2 8PQ\, DMB
 \, Room 1S4
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