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BEGIN:VTIMEZONE
TZID:Asia/Dubai
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:+04
TZOFFSETFROM:+0400
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BEGIN:VEVENT
UID:20261019T005904Z - 15837@srv-erp19-dmz
DTSTART;TZID=Asia/Dubai:20241003T170000
DTEND;TZID=Asia/Dubai:20241003T183000
CREATED:20261019T005904Z
DESCRIPTION:<a href="https://erp.adsm.ac.ae/event/quantitative-analysis-pls
 -sem-method-using-smartpls-112">Quantitative Analysis: PLS-SEM Method usin
 g SmartPLS</a>\nThis training session will provide a comprehensive introdu
 ction to PLS-SEM statistical methods using Smart PLS software\, a popular 
 tool for structural equation modeling in academic research. Participants w
 ill explore the Smart PLS environment\, focusing on both outer (measuremen
 t) model and inner (structural) model testing. Key areas covered include i
 tem loading\, construct validity\, Beta scores\, P-values\, and model fit 
 indices\, along with graphical representation techniques. Designed for Mas
 ter's students who plan to use quantitative methods\, this session will eq
 uip participants with practical skills to analyze survey data and investig
 ate causal relationships among variables effectively. We look forward to w
 elcoming you in our Campus !!
DTSTAMP:20261019T005904Z
LOCATION:ADSM\, Freej Al ʹTeebat St - Al Hisn - W2\, Behind Al-Hosn\, Abu 
 Dhabi AZ 6844\, United Arab Emirates
SUMMARY:Quantitative Analysis: PLS-SEM Method using SmartPLS
X-ALT-DESC;FMTTYPE=text/html:<a href="https://erp.adsm.ac.ae/event/quantita
 tive-analysis-pls-sem-method-using-smartpls-112">Quantitative Analysis: PL
 S-SEM Method using SmartPLS</a>\nThis training session will provide a comp
 rehensive introduction to PLS-SEM statistical methods using Smart PLS soft
 ware\, a popular tool for structural equation modeling in academic researc
 h. Participants will explore the Smart PLS environment\, focusing on both 
 outer (measurement) model and inner (structural) model testing. Key areas 
 covered include item loading\, construct validity\, Beta scores\, P-values
 \, and model fit indices\, along with graphical representation techniques.
  Designed for Master's students who plan to use quantitative methods\, thi
 s session will equip participants with practical skills to analyze survey 
 data and investigate causal relationships among variables effectively. We 
 look forward to welcoming you in our Campus !!
END:VEVENT
END:VCALENDAR