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Record W2953532534 · doi:10.15171/rdme.2019.008

The relationship between alexithymia and shyness in nursing students with mediating roles of loneliness and social identity

2019· article· en· W2953532534 on OpenAlexaboutno aff
Alireza Sangani, Paria Jangi

Bibliographic record

VenueResearch and Development in Medical Education · 2019
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsShynessLonelinessAlexithymiaPsychologyToronto Alexithymia ScaleFeelingClinical psychologyDevelopmental psychologyStructural equation modelingSocial psychologyAnxietyPsychiatry

Abstract

fetched live from OpenAlex

Background: Shyness is a main cause of poor results in the educational environment. The present study aimed at studying relationship between alexithymia (the inability to recognize or describe one’s own emotions) and shyness in nursing students, with mediating roles of loneliness and social identity. Methods: This descriptive-correlational study was based on structural equation modeling, specific regression equations, and a statistical population of 658 nursing students at Ahvaz University of Medical Sciences in 2018. A sample of 331 students was selected. To collect the data, Toronto’s Alexithymia Scale, Russell, Peplau and Cutrona’s Loneliness Scale, Safarinia’s Social Identity Questionnaire and Briggs, Cheek and Buss’ Shyness Scale were used. Results: The findings from regression analysis showed that there was a direct effect between alexithymia and shyness and an indirect effect between alexithymia and shyness with mediating factors of loneliness and social identity (P<0.01). In total, alexithymia, feelings of loneliness, and perception of social identity had a predictive power of 0.51% of shyness. Conclusion: The results of this study show the effect of alexithymia and the role of moderating influences on feelings of loneliness and social identity perceptions and shyness among nursing students, which can provide useful practical applications to advisers and trainers in order to improve the psychological state of nursing students.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.157

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.059
GPT teacher head0.455
Teacher spread0.397 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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