Psychometric Properties of the Behavioral–Emotional Regulation Questionnaire in Peruvian Adults (BERQ-PA)
Behavioral Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 224 - 224
Published: Feb. 16, 2025
Behavioral
and
cognitive
regulation
of
emotions
is
crucial
for
adaptation
mental
health.
Measuring
it
with
valid
reliable
instruments
essential,
especially
in
Peru.
The
objective
the
study
was
to
evaluate
psychometric
properties
Peruvian
version
Regulation
Emotions
Questionnaire
(BERQ-PA)
a
sample
403
adults
from
Lima,
aged
between
18
59
years
(M
=
32.3,
SD
10.1;
65.8%
women).
Participants
completed
BERQ-PA,
Emotion
(ERQ),
General
Health
(GHQ-28).
Confirmatory
factor
analysis
(CFA)
used
assess
validity
internal
structure.
BERQ-PA
scores
were
correlated
those
ERQ
GHQ-28
check
concurrent
convergent
validity.
Reliability
established
by
consistency
analysis,
factorial
invariance
according
sex
evaluated
using
multigroup
CFA.
CFA
confirmed
original
five-factor
model;
however,
two
items
had
loadings
lower
than
0.40.
For
this
reason,
an
alternative
five-factor,
18-item
model
that
showed
optimal
fit
indices
(S-Bχ2
299,
df
125,
χ2/df
2.39,
CFI
0.959,
TLI
0.950,
RMSEA
0.048
[90%
CI:
0.039-0.057],
SRMR
0.069).
alpha
omega
coefficients
five
subscales
greater
0.70,
confirming
reliability.
correlations
BERQ,
ERQ,
evidenced
Factorial
confirmed.
measure
behavioral
emotions,
standing
out
its
usefulness
research,
psychological
assessment,
assessment
interventions
context.
Language: Английский
Using artificial intelligence in education: decision tree learning results in secondary school students based on cold and hot executive functions
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 18, 2024
Improving
educational
quality
is
a
universal
concern.
Despite
efforts
made
in
this
regard,
learning
outcomes
have
not
improved
sufficiently.
Therefore,
further
investigation
needed
on
issue,
adopting
new
perspectives
(conceptual
and
analytical)
to
facilitate
the
understanding
design
of
effective
actions.
The
objective
study
was
determine
influence
executive
functions
(considering
both
cognitive
affective
processes)
their
interactions
Language
Literature
Mathematics
Spanish
students,
through
use
artificial
intelligence,
based
machine
approach,
more
specifically,
decision
tree
technique.
A
total
173
students
compulsory
secondary
education
(12–17
years
old)
from
same
institution
participated.
school's
counsellor
provided
information
student
function
levels
by
completing
BRIEF2
questionnaire
for
each
participant.
She
also
reported
achieved
subjects
interest
research
(Language
Mathematics).
R
software
used
model
regression
trees.
results
revealed
groups
characterised
different
profiles,
i.e.,
combinations
difficulties
various
varying
academic
area.
However,
regardless
area
considered
or
Mathematics),
working
memory
identified
as
most
relevant
all
students'
outcomes.
Understanding
combination
that
predict
group
important
since
it
enables
teachers
other
professionals,
policymakers
researchers
provide
individualised
resources
according
diverse
profiles
needs.
It
constitutes
an
mechanism
improve
and,
ultimately,
enhance
equitable
system.
Language: Английский