How can I implement a linear and a logistic regression in a single SEM model?

48 views

Skip to first unread message

gaia...@usal.es

unread,

Apr 4, 2019, 6:22:53 AM4/4/19

to lavaan

Dear users,

how can I define just ONE of the regressions in my SEM model (indeed is a path analyses, no LV's) to be logit (or by using probit if logit is still not developed in lavaan)?

This is my model

Model2<- 'Myc~f* rodens+g*fbrdn <- I want this to be a logit regression, and I realize that I cannot use the family = binomial as in glm

fbrdn ~b* sand +d* GApBinary +e*rodens

rodens ~c*GApBinary

GApBinary ~a*sand

fit2 <- sem(DesiredBestModel2, data = data2)

summary(fit2)

Thanks in advance

Terrence Jorgensen

unread,

Apr 4, 2019, 9:51:47 AM4/4/19

to lavaan

how can I define just ONE of the regressions in my SEM model (indeed is a path analyses, no LV's) to be logit (or by using probit if logit is still not developed in lavaan)?

It will be probit by default (logit unavailable) if you declare the outcome as categorical using the ordered= argument.

Terrence D. Jorgensen

Assistant Professor, Methods and Statistics

Research Institute for Child Development and Education, the University of Amsterdam