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When School Walls Meet Emotional Hurdles: A Cross-Sectional Study on Alexithymia and School Refusal in High Schools Cover

When School Walls Meet Emotional Hurdles: A Cross-Sectional Study on Alexithymia and School Refusal in High Schools

Open Access
|Aug 2025

Figures & Tables

cie-6-1-169-g1.png
Figure 1

Proposed Conceptual Framework of the Study.

Table 1

Participant Inclusion and Exclusion.

INCLUSION CRITERIAEXCLUSION
Currently enrolled in a high schoolStudents not currently enrolled
Aged between 14 and 18Individuals outside the age range
Signed informed consentUnwillingness to provide informed consent
Table 2

Participants’ Demographic Information.

VARIABLECATEGORYFREQUENCYPERCENT
MajorHumanities7227.2
Experimental sciences7829.4
Physics and mathematics5821.9
Others5721.5
SchoolPublic17264.9
Private3814.3
Gifted5520.8
GenderMale10640
Female15960
cie-6-1-169-g2.png
Figure 2

Detailed Participant Demographics.

Table 3

Relationship Among GPA, Alexithymia (Alex), and School Refusal (F1, F2, F3, F4).

VARIABLESGPAALEXF1F2F3F4
GPA1–0.35**0.03–0.12–0.11–0.06
Alex–0.35**10.010.010.12*–0.04
F10.0330.0110.61**0.43**0.09
F2–0.170.010.61**10.42**–0.05
F3–0.110.12*0.43**0.42**10.17**
F4–0.06–0.040.09–0.050.17**1

[i] ***p < 0.001 – Very strong evidence of statistical significance.

**p < 0.01 – Strong evidence of statistical significance.

*p < 0.05 – Some evidence of statistical significance.

p < 0.1 – No evidence of statistical significance.

Table 4

Summary of Kruskal-Wallis Tests.

VARIABLEMODERATORX2p-VALUE
AlexithymiaGender0.690.41
F1Gender0.190.66
F2Gender2.240.14
F3Gender3.480.06
F4Gender0.010.93
GPAGender27.70<0.001***
GPASchool10.250.005**
AlexithymiaMajor10.660.01*
F1Major4.840.184
F2Major8.660.03*
F3Major2.700.44
F4Major4.830.18
GPAMajor58.93<0.0001***
AlexithymiaSchool3.800.15
F1School0.320.85
F2School0.200.90
F3School0.380.83
F4School10.160.006**

[i] ***p < 0.001 – Very strong evidence of statistical significance.

**p < 0.01 – Strong evidence of statistical significance.

*p < 0.05 – Some evidence of statistical significance.

p < 0.1 – No evidence of statistical significance.

Table 5

Results of Dunn’s Test With Bonferroni Correction for Significant Variables.

VARIABLECOMPARISONROW MEAN-COL MEANp-VALUE
GPA by MajorGroup 2 – Group 1–0.471
GPA by MajorGroup 3 – Group 1–1.990.14
GPA by MajorGroup 3 – Group 2–1.590.34
GPA by MajorGroup 4 – Group 1–6.95<0.0001***
GPA by MajorGroup 4 – Group 2–6.63<0.0001***
GPA by MajorGroup 4 – Group 3–4.72<0.0001***
F2 by MajorGroup 2 – Group 1–2.050.12
F2 by MajorGroup 3 – Group 1–1.570.35
F2 by MajorGroup 3 – Group 20.331
F2 by MajorGroup 4 – Group 10.551
F2 by MajorGroup 4 – Group 22.480.04*
F2 by MajorGroup 4 – Group 32.010.13
F4 by SchoolGroup 2 – Group 1–2.690.01**
F4 by SchoolGroup 3 – Group 1–2.230.04*
F4 by SchoolGroup 3 – Group 20.650.77
Alexithymia by MajorGroup 2 – Group 11.690.27
Alexithymia by MajorGroup 3 – Group 11.940.16
Alexithymia by MajorGroup 3 – Group 20.381
Alexithymia by MajorGroup 4 – Group 13.210.004**
Alexithymia by MajorGroup 4 – Group 21.690.27
Alexithymia by MajorGroup 4 – Group 31.220.66
GPA by SchoolGroup 2 – Group 1–0.760.66
GPA by SchoolGroup 3 – Group 1–3.200.002**
GPA by SchoolGroup 3 – Group 2–1.700.13

[i] ***p < 0.001 – Very strong evidence of statistical significance.

**p < 0.01 – Strong evidence of statistical significance.

*p < 0.05 – Some evidence of statistical significance.

p < 0.1 – No evidence of statistical significance.

Table 6

Summary of Causal Mediation Analysis Results.

MODELESTIMATECI LOWERCI UPPERp-VALUE
F1 Mediator
ACME0.0001–0.00700.98
ADE–0.029–0.039–0.02<.001***
TE–0.029–0.039–0.02<.001***
Prop. Med.–0.0001–0.0030.020.98
F2 Mediator
ACME–0.001–0.00200.94
ADE–0.029–0.039–0.02<.001***
TE–0.029–0.039–0.02<.001***
Prop. Med.0.017–0.0470.050.94
F3 Mediator
ACME–0.001–0.00200.27
ADE–0.029–0.038–0.02<.001***
TE–0.029–0.039–0.02<.001***
Prop. Med.0.020–0.0180.090.27
F4 Mediator
ACME0.0002–0.00100.59
ADE–0.030–0.039–0.02<.001***
TE–0.029–0.039–0.02<.001***
Prop. Med.–0.005–0.0450.020.59

[i] ***p < 0.001 – Very strong evidence of statistical significance.

**p < 0.01 – Strong evidence of statistical significance.

*p < 0.05 – Some evidence of statistical significance.

p < 0.1 – No evidence of statistical significance.

Table 7

Moderating Effects of Academic Major on the Relationship Between Alexithymia and GPA.

INTERACTIONCOEFFICIENTSEt-valuep-valueLOWER CIUPPER CI
Alex × Experimental Sciences0.0350.012.900.0040.0110.059
Alex × Mathematics0.0500.013.67<0.0010.0230.078
Alex × Other Disciplines0.0560.014.33<0.00010.0310.082
cie-6-1-169-g3.png
Figure 3

Moderating Effect Sizes of Majors on GPA.

cie-6-1-169-g4.png
Figure 4

Path Model of Effective Factors on GPA.

Table 8

Parameter Estimates From the Path Model.

FIT INDEXVALUERECOMMENDED THRESHOLD
Chi-square (p-value)1.499 (0.982)> 0.05 indicates a good fit
CFI1> 0.95 indicates a good fit
TLI1.052> 0.95 indicates a good fit
RMSEA<0.0001< 0.06 indicates a good fit
p-value RMSEA ≤ 0.0500.998
SRMR0.008< 0.08 indicates a good fit
DOI: https://doi.org/10.5334/cie.169 | Journal eISSN: 2631-9179
Language: English
Submitted on: Dec 21, 2024
|
Accepted on: Apr 26, 2025
|
Published on: Aug 1, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Mohammad Jahanaray, Ali Jahanaray, Atena Pasha, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.