You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to lavaan
Dear all,
in my understanding, I need to test nomological validity with SEM. But what exactly should I look at in e.g. summary(fit1, standardized=TRUE, fit.measures=TRUE)?
Code for reference:
model1 <-'O =~ o1 + o2 + o3 + o4 + o5
T =~ t1 + t2 + t3 + t4
G =~ g1 + g2 + g3
P =~ p1 + p2 + p3
P ~ OC + TC + TGC'
fit1 <- sem(model1, data=data)
Thank you in advance for your help.
Terrence Jorgensen
unread,
Jun 23, 2019, 2:37:37 PM6/23/19
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to lavaan
I need to test nomological validity with SEM. But what exactly should I look at
Could you ask a more specific question? The section with factor covariances is clearly labeled in the output, and the "Std.all" column displays the standardized covariances (i.e., correlations). That is probably where you will find much of the validity-checking information you want, assuming you know what you want.
Terrence D. Jorgensen
Assistant Professor, Methods and Statistics
Research Institute for Child Development and Education, the University of Amsterdam