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Record W2947121913 · doi:10.30877/ijmh.6.1.2019.69-77

Impact of Neuroticism on Alexithymia and Marital Satisfaction Among Married Men and Women

2018· article· en· W2947121913 on OpenAlexaboutno aff
Khushboo Shah, Reshma Murali

Bibliographic record

VenueIndian Journal of Mental Health(IJMH) · 2018
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaNeuroticismPsychologyClinical psychologyPersonalitySocial psychology

Abstract

fetched live from OpenAlex

Background and Objectives: The present study focused on three variables namely Neuroticism, Alexithymia and Marital Satisfaction.Neuroticism is a general tendency to experience negative affect, and people high in Neuroticism are prone to have irrational ideas, be less able to control their impulses, and to cope more poorly than others with stress.Alexithymia, on the other hand, is seen as a cluster of deficits in the experiencing, expression and regulation of emotions.Marital Satisfaction is often defined as the attitude an individual has toward his or her marital relationship.The aim of the present study was to study the impact of Neuroticism on Alexithymia and Marital Satisfaction among Married Men and Women.In addition, the study also explored the relationship between Alexithymia and Marital Satisfaction.Methods: The study was conducted on fifty married heterosexual couples (50 Males, 50 Females) to examine the impact of Neuroticism on Alexithymia and Marital Satisfaction.A convenient, snowball sampling method was used to get responses from 100 participants.The three variables were studied using three tests, one for each variable.These consisted of Eysenck Personality Questionnaire-Revised, 20 item Toronto Alexithymia Scale (TAS-20) and Enrich Marital Satisfaction Scale.Results: All the three statistical analyses were found to be significant and in line with the results.The results supported the hypotheses and thus implicated that Neuroticism does have an impact on Alexithymia and Marital Satisfaction among married couples.Conclusion: Further studies in larger samples are need to establish and corroborate the findings of the study.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.019
GPT teacher head0.372
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2018
Admission routes1
Has abstractyes

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