Groups
Conversations
All groups and messages
Send feedback to Google
Help
Sign in
Groups
lavaan
Conversations
Labels
2PL
2star
AMOS
CFA
CHOICE
CI
CSV
ClinicalRelevance
DFM
DIF
DISCRETE
DSEM
Fix
Hayes
Heywood
ICLV
ILD
IRT
LCSM
LGC
LGCM
LGM
LISREL
LS-model
Longitudinal
MIMIC
ML
MLM
MLR
Markdown
Mplus
NA
Output
RDSEM
RICLPM
Robusterror
SE
Second
Teresa
WLS
WLSMV
WRMR
Yuan-Bentler
absolutevalue
accuracy
aic
analysis
announcement
announement
arrays
autoregression
auxiliary
beta
between-cluster
bi-factor
bic2
bifactor
binary
binomial
blavaan
bootstrap
bug
categorical
cfi
change
check
chisq
clpm
clustering
cmv-in-lavaan
code
coefficient
commonmethodbias
composite
conditional
confirmatory
constraint
constraints
continuous-variables
controls
cor2cov
corrected
correction
correlation
correlationMatrix
corrrelations
count
covariance
covarianceMatrix
cross-lagged
cross-loading
curve
data
definite
dem
df
dichotomous
dichotomous_iv
dichotomous_outcome
dichtomic
difference
dignostics
directeffect
documentation
dummy_variable
dynr
effect
effects-coding
eiv
endogenous
eq
equalityconstraint
equation
error
error-in-variables
estfun
estimator
exogenous
explained
extraction
factor
factor-score
factorloading
factormean
feature
fiml
fit
fitMeasures
fitindices
fitted
fmi
freeing
fscore
fsr
general
getCov
group
groupmean
groups
growth
higher-order
identification
impact
imputation
imputed
included
indices
indirect
information-matrix
inspect
install_lavaan
installation
interaction
intercept
interpretation
interval
invariance
inverted
latent
latent-error
lavCor
lavPredict
lavTable
lavTestLRT
lavTestscore
lav_data_full
lav_model_objective
lavaan
lavaan-and-amos
lavtech
lbug
lcm
level2
linear
loading
logistic
logistic_regression
logit
loop
masem
mean
meancentering
measEqsyntax
measurement
measurement-error
measures
mediation
mediator
metric
mice_runMI
mipowerfit
missing
missingdata
missings
mixed
mixture
model
model-comparison
model-fit
modeling
moderated
moderated_mediation
moderation
moderator
modification
modifier
modindices
montecarlomed
mplus2lavaan
multi-imputed
multicollinearity
multidimensional
multigroup
multilevel
multiple
negating
negative
negativevariance
nested
nlminb
non-conformable
non-convergence
non-nested
noninvariance
nothing
observed
odds
odds_ratio
optimization
order
ordered
ordinal
originalData
overfitting
p-value
pairwise
parameter
partial
partial-regression
partially
path
path_coefficients
pathmodel
percentage
pipes
plotProbe
plots
pointEstimates
poisson
polynomial
positive
post-hoc
power
pre
predict
predictedprobability
predictions
predictor
probe2WayMC
probit
probit-regression
pseudo-R-squared
psych
python
r
r2
random
ratio
regression
release
reliability
repeated
reproducibility
residual
respone
ri-clpm
rlang
rmsea
robust
rpy2
rstudio
runMI
sample
satorra-bentler
saturatedmodel
scalar
scale
score
second-order
sem
semTools
sensitivity
sequential
significance
simsem
simulation
skew
slack
slope
small
smallsamplesize
srmr
standard-errors
standardized
strict
structural
subscript
summary
survey
survival
syntax
table
test-statistics
threshold
time
tutorial
tvc
varTable
variables
variance
visualizing
voung-test
vuongtest
warning
weighting
weights
within-cluster
workshops
z-score
رس
About
lavaan
1–14 of 4673
Welcome to the lavaan discussion group. Lavaan is an R package for latent variable analysis.
Mark all as read
Report abusive group
0 selected
ccosciar
, …
Yves Rosseel
6
6/2/20
standard errors in mediation analysis with binary variables using lavaan
On 6/2/20 4:41 AM, Ranaivo Rasolofoson wrote: > Dear Yves, > I was looking at the presentation
unread,
DWLS
analysis
categorical
estimator
lavaan
mediation
robust
standard-errors
standard errors in mediation analysis with binary variables using lavaan
On 6/2/20 4:41 AM, Ranaivo Rasolofoson wrote: > Dear Yves, > I was looking at the presentation
6/2/20
Christopher Galgo
,
PD
2
7/19/19
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
unread,
CFA
analysis
correlationMatrix
covariance
covarianceMatrix
factor
fsr
latent
lavaan
path
robust
score
Factor Score Path Analysis
Try the :::fsr function. See the articles that discuss this approach, which explain the variance/
7/19/19
Christopher Galgo
7/14/19
Please help me. Can I use a vcv matrix of factor scores as input to lavaan?
I have a covariance matrix from factor scores and I want to use that as input for my analysis.
unread,
Heywood
analysis
covariance
covarianceMatrix
latent
lavaan
model
positive
r
regression
warning
Please help me. Can I use a vcv matrix of factor scores as input to lavaan?
I have a covariance matrix from factor scores and I want to use that as input for my analysis.
7/14/19
Robert Udale
,
Terrence Jorgensen
4
7/2/19
Multi level SEM - not sure what I'm doing!
The first level of model 2 is the same as model 1. No, Q63_1 has switch from being an outcome at the
unread,
analysis
lavaan
model
multilevel
sem
warning
Multi level SEM - not sure what I'm doing!
The first level of model 2 is the same as model 1. No, Q63_1 has switch from being an outcome at the
7/2/19
Andrés González
,
Terrence Jorgensen
5
5/23/19
Not showing GOF results on Mediation Path Analysis with controlling variables
What do you mean precisely when you say "The model with 2 df omits 2 paths on the mediator.
unread,
analysis
effect
mediation
path
sem
Not showing GOF results on Mediation Path Analysis with controlling variables
What do you mean precisely when you say "The model with 2 df omits 2 paths on the mediator.
5/23/19
Daniel Groß
,
Edward Rigdon
2
4/28/19
Multicollinearity - std.all - what can I do
Two things: 1. Standardization and interaction do not go together. IF A and B are normal, then
unread,
analysis
multicollinearity
path
Multicollinearity - std.all - what can I do
Two things: 1. Standardization and interaction do not go together. IF A and B are normal, then
4/28/19
SM
,
Terrence Jorgensen
3
4/16/19
What values to report in cross-lag analysis
This is so incredibly helpful. Thank you so much. On Tue, Apr 16, 2019 at 1:25 AM Terrence Jorgensen
unread,
Output
analysis
cross-lagged
interpretation
lavaan
model
r
regression
standard-errors
standardized
What values to report in cross-lag analysis
This is so incredibly helpful. Thank you so much. On Tue, Apr 16, 2019 at 1:25 AM Terrence Jorgensen
4/16/19
atrs2
, …
Alex Schoemann
5
3/25/19
Path analysis: Discrepancy between bootstrapped CI and p-value
There sure is. The inspect() function allows you to pull information from a simResult object (created
unread,
CI
analysis
bootstrap
path
Path analysis: Discrepancy between bootstrapped CI and p-value
There sure is. The inspect() function allows you to pull information from a simResult object (created
3/25/19
Cath Kids
, …
Christopher Bratt
5
3/5/19
Acceptable CFI but poor TLI
I don't think the relatively low TLI value is your main concern. My recommendation would be to
unread,
analysis
cfi
lavaan
model
path
Acceptable CFI but poor TLI
I don't think the relatively low TLI value is your main concern. My recommendation would be to
3/5/19
laura
,
Terrence Jorgensen
2
2/2/19
Multilevel path analysis with observed variables
Your IVs can only explain Level 2 variance (ie, differences in cluster means of the mediator), so you
unread,
analysis
multilevel
path
syntax
Multilevel path analysis with observed variables
Your IVs can only explain Level 2 variance (ie, differences in cluster means of the mediator), so you
2/2/19
Anniek Borghuis
, …
Terrence Jorgensen
9
2/5/19
Configural factor analysis with different observed variables
Factor loadings are not going to be the same, because of the different scales (5-point and 3-point
unread,
analysis
confirmatory
factor
Configural factor analysis with different observed variables
Factor loadings are not going to be the same, because of the different scales (5-point and 3-point
2/5/19
andrew....@gmail.com
, …
Terrence Jorgensen
8
10/11/18
Simple mediation and mediation with covariates
I don't completely follow your explanation Put your regression equations on separate lines in the
unread,
analysis
lavaan
measurement
mediation
model
ordered
Simple mediation and mediation with covariates
I don't completely follow your explanation Put your regression equations on separate lines in the
10/11/18
chenb...@gmail.com
,
Terrence Jorgensen
2
8/2/18
how are the P-values of indirect and total effects of an exogenous varible calculated in lavaan?
It seems that only the lavaan package can show the statistical significance (P-value) of the indirect
unread,
analysis
indirect
lavaan
how are the P-values of indirect and total effects of an exogenous varible calculated in lavaan?
It seems that only the lavaan package can show the statistical significance (P-value) of the indirect
8/2/18
Elias Carvalho
,
Terrence Jorgensen
2
7/11/18
Small sample of dichotomic variables
1. Is it possible to create a path analysis model with this small sample? Anything is possible, but
unread,
analysis
dichtomic
path
sample
small
Small sample of dichotomic variables
1. Is it possible to create a path analysis model with this small sample? Anything is possible, but
7/11/18