Effects in random-intercept cross-lagged panel models may be spurious: A simulated reanalysis and comment on Specker et al.’s (2024) study on post-migration stressors, emotion dysregulation, and symptoms of posttraumatic stress disorder
Опубликована: Март 30, 2024
Specker
et
al.
(2024)
conducted
analyses
with
the
random-intercept
cross-lagged
panel
model
(RI-CLPM)
and
concluded,
for
example,
that
emotion
dysregulation
post-migration
stressors
have
increasing
effects
on
posttraumatic
stress
disorder
(PTSD)
symptom
hyperarousal
among
refugees.
Here,
we
evaluated
conclusion
by
through
triangulation.
We
fitted
several
models
data
simulated
to
resemble
analyzed
used
as
empirical
was
not
available
us.
The
present
results
suggested
simultaneous
contradictory
decreasing
of
hyperarousal.
Due
these
findings,
concluded
longitudinal
associations
between
constructs
probably
were
spurious
rather
than
truly
increasing.
This
corroborated
good
fit
a
(the
associations,
MoSLA)
where
/
due
confounding
common
trait
auto-correlated
state
factors.
It
is
important
researchers
be
aware
correlations,
including
in
RI-CLPM,
do
prove
causality.
Researchers
are
recommended
scrutinize
their
findings
from
correlational
With
congruent
models,
conclusions
genuine
or
corroborated.
If,
other
hand
case,
different
diverge,
seem
premature.
Язык: Английский
Inconclusive effects between executive functions and symptoms of psychiatric disorders in random-intercept cross-lagged panel models: A simulated reanalysis and comment on Halse et al. (2022)
Опубликована: Апрель 23, 2024
In
a
recent
study
of
Norwegian
children
(N
=
874),
Halse
et
al.
(2022)
used
random-intercept
cross-lagged
panel
models
(RI-CLPM)
and
concluded
that
their
findings
supported
the
assumption
deficiencies
in
executive
functions
psychopathology
are
both
cause
consequence
other.
Here,
we
reanalyzed
data
simulated
to
resemble
by
with
several
complementary
models.
Our
contradictory
simultaneous
increasing
decreasing
effects
suggested
prospective
between
deficits
symptoms
were
spurious
rather
than
truly
increasing.
Consequently,
conclusions
not
own
data.
It
is
important
for
researchers
bear
mind
correlations,
including
RI-CLPM,
do
prove
causality.
We
recommend
use,
as
did
here,
triangulation
scrutinize
from
analyses
observational
Язык: Английский
Experimentally established expected effects in random-intercept cross-lagged panel models when causality holds
Опубликована: Май 28, 2024
There
are
indications
that
findings
from
random-intercept
cross-lagged
panel
models
(RI-CLPM)
may
be
biased
and
spurious,
similarly
to
traditional
models.
The
objective
of
the
present
study
was
establish
what
effects
expect
in
analyses
with
RI-CLPM
when
causality
holds.
We
generated
experimental
data
truly
causal
by
estimating
weight
a
container
after
adding
or
removing
stones
to/from
container.
Data
were
analyzed
three
complementary
RI-CLPMs
as
well
corresponding
multilevel
model
(MLM)
person-mean
centered
scores.
results
suggested
if
prior
level
on
predictor
X
has
within-individual
increasing
effect
an
outcome
Y,
we
should
show
has:
(1)
A
positive
subsequent
Y
adjusting
for
Y;
(2)
negative
(3)
-
difference.
Corresponding
scores
MLM
yield
similar
effects.
In
case
decreasing
effects,
opposite
signs
(i.e.,
negative,
positive,
respectively).
These
experimentally
established
expected
holds
can
help
researchers
triangulate
scrutinize
order
observed
might
they
appear
spurious.
Язык: Английский