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)
ISSN: 2958-1524
38
DOI: https://doi.org/10.57247/rgp.v2i1.133
Revista Guatemalteca de Psicología Vol. 2, No. 1, Año 2023
Posteriormente se realizaron análisis
comparativos de los promedios de los
punteos totales de la escala y las 6
subescalas por algunos subgrupos de la
muestra, en la comparación realizada con
la prueba t de Student para comparación de
promedios del total de la escala y las seis
subescalas entre el grupo que trabaja y el que
no, no se encontró ninguna diferencia, por
lo no o si trabajar no produce diferencias en
su SMP. Como resultado de la aplicación de
la prueba t en la comparación de promedios
entre hombre y mujeres, no hubo diferencias
entre SP y ACPROS, en las restantes 5
comparaciones sí hubo diferencias. Las
mujeres con mayor promedio en AUT,
hombres (M=9.88, DE=3.2, N=255) y
mujeres (M=10.92, DE=3.14, N=334).
Se asumen varianzas iguales, F= .377,
t(587) = 3.92, p < .001, lo cual indica que
los dos promedios tienen une diferencia
estadísticamente signicativa, por lo que
las mujeres tienen mayor autonomía que
los hombres de la muestra; el tamaño del
efecto de esta diferencia es pequeño, d de
Cohen=.263, IC del 95% [-1.55, -.516]. Las
restantes 4 comparaciones indican que los
hombres tienen mayores promedios que las
mujeres, en el total de la escala de SMP
los hombres (M=94.61, DE=12.02, N=257)
y mujeres (M=92.2, DE=9.71, N=336). No
se asumen varianzas iguales, F= 4.335,
t(483.32) = 2.627, p < .009, lo cual indica
que los dos promedios tienen une diferencia
estadísticamente signicativa, los hombres
tienen mayor SMP que las mujeres de
la muestra; el tamaño del efecto de esta
diferencia es grande, d de Cohen=.918, IC
del 95% [.608, 4.215].
En el análisis de la subescala de AUTOC
los hombres (M=13.05, DE=2.62, N=253)
y mujeres (M=12.08, DE=2.46, N=335).
Se asumen varianzas iguales, F= .242,
t(586) = 4.606, p < .001, lo cual indica que
los dos promedios tienen une diferencia
estadísticamente signicativa, los hombres
tienen mayor AUTOC que las mujeres de
la muestra; el tamaño del efecto de esta
diferencia es pequeño, d de Cohen=.211, IC
del 95% [.557, 1.386]. Para la comparación
de la subescala de RESPROB los hombres
(M=27.35, DE=4.89, N=255) y mujeres
(M=24.85, DE=4.95, N=333). Se asumen
varianzas iguales, F= 1.195, t(586)= 6.086, p
< .001, lo cual indica que los dos promedios
tienen une diferencia estadísticamente
signicativa, los hombres tienen mayor
RESPROB que las mujeres de la muestra;
el tamaño del efecto de esta diferencia es
pequeño, d de Cohen=.409, IC del 95%
[1.688, 3.297]. El ultimo análisis comparativo
es de la subescala de RELINTER los hombres
(M=15.96, DE=2.80, N=255) y mujeres
(M=15.49, DE=2.32, N=336). No se asumen
varianzas iguales, F= 6.228, t(589) = 2.234,
p < .05, lo cual indica que los dos promedios
tienen une diferencia estadísticamente
signicativa, los hombres tienen mayor
RELINTER que las mujeres de la muestra;
el tamaño del efecto de esta diferencia es
pequeño, d de Cohen=.216, IC del 95% [.046,
.897]. Estos resultados pueden observarse
en las guras 1 y 2.