BEGIN:VCALENDAR
PRODID:NingEventWidget-v1
VERSION:2.0
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Pacific/Gambier
X-LIC-LOCATION:Pacific/Gambier
BEGIN:STANDARD
TZOFFSETFROM:-0900
TZOFFSETTO:-0900
TZNAME:GAMT
DTSTART:19700101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:6448529:Event:372930
DTSTAMP:20190720T002627Z
SUMMARY:Mediation, Moderation, and Conditional Process Analysis
DESCRIPTION:Taught byÂ Andrew Hayes, Ph.D.Â \nThis seminar focuses on
two topics in causal analysis that are closely related and often confu
sed. Suppose we have three variables, X, M and Y. We say that M is aÂ
mediatorÂ of the effect of X on Y if X carries its influence on Y at l
east partly by influencing M, which then influences Y. This is also kn
own as anÂ indirect effectÂ of X on Y through M. On the other hand, we
say that MÂ moderatesÂ the effect of X on Y if that effect varies in
size, sign, or strength as a function of M. This is also known asÂ int
eraction.Â \nAlthough these concepts are fairly simple, the statistica
l issues that arise in estimating and testing mediation and moderation
effects turn out to be rather complex and subtle.Â Andrew HayesÂ hasÂ
been among the leading recent contributors to the literature on these
methods. He has developed methods and easy-to-use tools for estimatin
g mediation and moderation effects that can be used with SAS and SPSS.
\nIn this seminar, you will learn about the underlying principles and
the practical applications of these methods. The seminar is divided ro
ughly into three parts:\n1. Partitioning effects into direct and indir
ect components, and how to quantify and test hypotheses about indirect
effects.\n2. Estimating, testing, probing, and visualizing interactio
ns in linear models.\n3. Integrating moderation and mediation by discu
ssing how a mechanism can be contingent and how to determine statistic
ally whether an indirect effect is moderated.\nComputer applications w
ill focus on the use of OLS regression and computational modeling tool
s for SPSS and SAS (including the PROCESS add on developed by Hayes).Â
When appropriate, some Mplus code will be provided for those interes
ted, but structural equation modeling and Mplus will not be the emphas
is of this seminar.\nBecause this is a hands-on course, participants a
re strongly encouraged to bring their own laptops (Mac or Windows) wit
h a recent version of SPSS Statistics (version 19 or later) or SAS (re
lease 9.2 or later) installed. SPSS users should ensure their installe
d copy is patched to its latest release. SAS users should ensure that
the IML product is part of the installation. You should have good fami
liarity with the basics of ordinary least squares regression (although
an overview of OLS will be the first topic of the course), as well as
the use of SPSS or SAS. You are also encouraged to bring your own dat
a to apply what youâ€™ve learned.\n\nFor more information visit https:
//www.datasciencecentral.com/events/mediation-moderation-and-condition
al-process-analysis
DTSTART;TZID=Pacific/Gambier:20160711T090000
DTEND;TZID=Pacific/Gambier:20160715T170000
CATEGORIES:training, seminar
LOCATION:The Gleacher Center at The University of Chicago Booth School
of Business
WEBSITE:http://statisticalhorizons.com/seminars/public-seminars/medand
mod-chi16
URL:http://statisticalhorizons.com/seminars/public-seminars/medandmod-
chi16
CONTACT:610-642-1941
ORGANIZER;CN="Statistical Horizons LLC":https://www.datasciencecentral
.com/profile/MaryKiely
ATTACH;FMTTYPE="image/jpeg":
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Statisti
cal Horizons LLC":https://www.datasciencecentral.com/profile/MaryKiely
END:VEVENT
END:VCALENDAR