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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20160802T155442Z
DTSTART;VALUE=DATE:20161129
DTEND;VALUE=DATE:20161130
SUMMARY:Short Course: Latent Factor Analysis (intermediate)
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}bct-ipy3h9v
 y-nqdcc3
DESCRIPTION:This short course covers latent variables and factor analysis
  at an introductory and intermediate level. A latent variable is somethi
 ng invisible (such as a concept\, an attitude\, or an illness) that cann
 ot be measured directly\, but that has been measured using a set of rela
 ted observed indicators.\n\nFactor analysis is one way to derive a facto
 r from a set of variables\, and is thus called a data reduction method. 
 Other data reduction methods include principal components analysis\, whi
 ch is very closely related to factor analysis\, and multiple corresponde
 nce analysis.\n\nWe will cover both exploratory and confirmatory factor 
 analysis\, and highlight their differences. More advanced topics\, such 
 as testing for measurement equivalence\, will also be touched upon. The 
 course is suitable both for primary-data collection researchers (who may
  need to write a suitable questionnaire)\, and for those who want to ana
 lyse data sets\, with a focus on measurement issues.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Humanities Bridgeford Street\, Manchester
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