Prospective effects of mindfulness on anxiety and depressive symptoms may be spurious: Simulated reanalysis of a meta-analytic cross-lagged panel analysis
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(5), P. e0302141 - e0302141
Published: May 13, 2024
A
recent
meta-analysis
claimed
decreasing
prospective
effects
of
acting
with
awareness
and
non-reacting,
two
facets
dispositional
mindfulness,
on
subsequent
anxiety
depressive
symptoms.
However,
the
meta-analytic
cross-lagged
were
estimated
while
adjusting
for
a
prior
measurement
outcome
variable
it
is
known
that
such
adjusted
may
be
spurious
due
to
correlations
residuals
regression
mean.
We
fitted
competing
models
simulations
same
data
found
mindfulness
symptoms
probably
spurious.
It
important
researchers
aware
limitations
effects,
meta-analytically
or
not,
in
order
not
overinterpret
findings.
Language: Английский
Spurious prospective effects between general and domain-specific self-esteem: A reanalysis of a meta-analysis of longitudinal studies
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(2), P. e0298158 - e0298158
Published: Feb. 13, 2024
A
recent
meta-analysis,
of
38
studies
with
data
from
43
independent
samples
(total
N
=
24,668),
claimed
evidence
for
positive
reciprocal
prospective
effects,
and
hence
both
top-down
bottom-up
processes,
between
general
domain-specific
self-esteem.
However,
the
meta-analytic
cross-lagged
effects
were
estimated
while
adjusting
a
prior
measurement
outcome
variable
it
is
known
that
such
adjusted
may
be
spurious
due
to
correlations
residuals
regression
mean.
In
present
reanalyses,
we
found
all
spurious.
Consequently,
claims
about
increasing
processes
self-esteem
can
questioned.
It
important
researchers
aware
limitations
panel
analyses,
analyses
correlational
in
general,
order
not
overinterpret
findings.
Language: Английский
Questioning the Reciprocal Effects Model of Academic Self-Concept and Achievement: A Reanalysis of a Meta-Analysis of Longitudinal Studies and a Simulation
SAGE Open,
Journal Year:
2024,
Volume and Issue:
14(4)
Published: Oct. 1, 2024
A
recent
meta-analysis
claimed
to
provide
evidence
that
academic
self-concept
and
achievement
have
reciprocal
prospective
effects
on
each
other
(reciprocal
model).
However,
were
estimated
while
adjusting
for
a
prior
measurement
of
the
outcome,
this
method
is
susceptible
spurious
findings
due
correlations
with
residuals
regression
mean.
Here
we
re-analyze
meta-analytic
show
different
plausible
models
can
support
opposing
claims:
either
had
an
increasing
or
decreasing
effect
achievement,
vice
versa.
Consequently,
claims
beyond
positive
cross-sectional
correlation
between
including
model,
be
questioned.
The
validated
by
analyses
simulated
data,
which
indicated
true
not
necessary
observed
associations.
We
further
propose
extended
skill
development
model
(ESDM)
as
more
parsimonious
alternative
model.
Language: Английский
Meta-analytic prospective associations between self-esteem and eating disorders appear to be spurious: a reanalysis and comment on Krauss et al. (2023)
Frontiers in Psychology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 7, 2025
In
a
recent
meta-analysis,
Krauss
et
al.
found
support
for
reciprocal
model
of
low
self-esteem
and
eating
disorders
where,
in
vicious
circle,
makes
people
more
vulnerable
to
developing
disorders,
turn,
scars
individuals'
self-esteem.
However,
the
present
reanalyses
same
meta-analytic
data,
we
that
prospective
effects
between
are
likely
spurious,
meaning
they
do
not
reflect
true
causal
effect,
but
rather
correlations
with
residuals
regression
mean.
Consequently,
claims
by
can
be
challenged.
To
avoid
statistical
artifacts,
recommend
researchers
fit,
as
did
study,
complementary
models
their
data
order
evaluate
if
may
genuinely
increasing
or
decreasing
appear
spurious.
Language: Английский
Distorted meta-analytic findings on peer influence: A reanalysis
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(11), P. e21458 - e21458
Published: Oct. 24, 2023
In
a
recent
meta-analysis,
Giletta
et
al.
(2021)
[1]
found
positive
effect
of
peers'
behavior
at
time
1
on
target
youths'
2
while
adjusting
for
and
claimed
to
have
quantified
peer
influence.
However,
it
is
established
that
controlled
cross-lagged
effects
could
be
due
correlations
with
measurement
errors
reversion
in
the
direction
mean
rather
than
true
decreasing
or
increasing
effects.
Here,
reanalysis
same
meta-analytic
data
as
used
by
al.,
we
influence,
operationalized
may
been
distorted
(i.e.
spurious).
We
do
not
claim
influence
does
exist,
but
hard,
maybe
even
possible,
prove
analyses
observational
exist.
Difficulties
causal
common
all
areas
research
specific
Language: Английский
Triangulation does not support reported prospective effects on work engagement: Simulated reanalyses of twelve cross-lagged panel models
Published: May 17, 2024
Studies
using
cross-lagged
panel
models
(CLPM)
have
shown
prospective
effects
of
initial
scores
on
various
predictors,
e.g.,
job
control
and
depressive
symptoms,
subsequent
work
engagement
when
adjusting
for
engagement.
However,
it
is
well
established
that
may
be
spurious
due
to
correlations
with
residuals
regression
the
mean.
Here,
we
reanalyzed
data
simulated
resemble
in
twelve
studies
CLPM,
suggesting
increasing/decreasing
Through
triangulation,
show
all
these
suggested
appear
been
rather
than
truly
increasing/decreasing.
Researchers
need
aware
correlations,
including
models,
do
not
prove
causality.
For
improved
causal
inference,
recommend
researchers
triangulate
scrutinize
by
fitting
complementary
their
data.
Language: Английский
Detecting spurious effects in cross-lagged panel models: Triangulation is not a valid test
European Journal of Personality,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 1, 2024
The
cross-lagged
panel
model
(CLPM)
is
an
analytic
technique
used
to
examine
the
reciprocal
causal
effects
of
two
or
more
variables
assessed
on
occasions.
Although
widely
used,
CLPM
has
been
criticized
for
relying
implausible
assumptions,
violation
which
can
often
lead
biased
estimates
effects.
Recently,
a
triangulation
method
proposed
identify
spurious
in
simple
analyses
(e.g.,
Sorjonen,
Melin,
&
2024).
We
use
simulations
and
discussion
formulas
underlying
regression
coefficients
show
that
this
does
not
provide
valid
indicator
spuriousness.
This
identifies
true
as
realistic
situations
should
be
diagnose
whether
effect
estimated
from
not.
There
are
clear
reasons
doubt
CLPM,
but
results
do
add
information
about
such
spurious.
Language: Английский