Alexithymia and Personality Factors Among Students With and Without Autism Spectrum Disorder
Bibliographic record
Abstract
Objectives: Autism Spectrum Disorder (ASD), is a group of neurodevelopmental disorders associated with -diverse communicative problems and Asperger's syndrome.The aim of this study was to compare alexithymia and personality factors in students with and without ASD.Methods: In this study 120 male students with and without ASD were included.All the students were from Rasht city, studying in the academic year 2016-2017.The students were asked to take up Toronto Alexithymia Scale (TAS) and Big Five Questionnaire for Children (BFQ-C).Statistical comparison within the variables were carried out by Multivariate Analysis of Variance (MANOVA).The probability value less than 0.05 considered to be significant. Results:The MANOVA of results showed a significantly higher mean scores of alexithymia components and neuroticism in the students with ASD.However, the mean scores of agreeableness, extraversion, openness to experience and conscientiousness were significantly lower in the students with ASD (P<0.001).Discussion: The results garnered from this study implied that alexithymia and personality factors were significantly influenced by ASD.The findings of this research persuaded the pivotal implication of aforesaid facts on education and mental health of the students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".