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Record W6995686166

Pengaruh dukungan sosial terhadap Quarter Life Crisis mahasiswa semester akhir Dimoderatori oleh Psychological Well-Being

2024· other· id· W6995686166 on OpenAlexaboutno aff

Bibliographic record

VenueeTheses of Maulana Malik Ibrahim State Islamic University (Maulana Malik Ibrahim State Islamic University) · 2024
Typeother
Languageid
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive natural compounds
Canadian institutionsnot available
Fundersnot available
KeywordsSocial supportQuarter (Canadian coin)Social lifeSocial relationData collection
DOInot available

Abstract

fetched live from OpenAlex

ABSTRAK Quarter Life Crisis (QLC) merupakan fase penuh tekanan yang dialami individu pada rentang usia 20-30 tahun, terutama mahasiswa semester akhir yang menghadapi tuntutan akademik dan transisi menuju dunia kerja. Penelitian ini bertujuan untuk menganalisis pengaruh dukungan sosial terhadap tingkat QLC pada mahasiswa semester akhir serta peran psychological well-being sebagai moderator. Dengan pendekatan kuantitatif korelasional, data dikumpulkan dari mahasiswa semester akhir menggunakan kuesioner yang mengukur dukungan sosial, QLC, dan psychological well-being. Hasil analisis menunjukkan bahwa dukungan sosial secara signifikan menurunkan tingkat QLC. Selain itu, psychological well-being memperkuat pengaruh positif dukungan sosial, di mana mahasiswa dengan psychological well-being tinggi lebih mampu memanfaatkan dukungan sosial untuk mengatasi QLC. Temuan ini menekankan pentingnya intervensi yang meningkatkan dukungan sosial dan psychological well-being guna membantu mahasiswa menghadapi tantangan QLC secara efektif. ABSTRACT Quarter Life Crisis (QLC) is a stressful phase experienced by individuals in the 20-30 year age range, especially final semester students who are facing academic demands and the transition to the world of work. This study aims to analyze the influence of social support on QLC levels in final semester students and the role of psychological well-being as a moderator. With a correlational quantitative approach, data was collected from final semester students using a questionnaire that measured social support, QLC, and psychological well-being. The analysis results show that social support significantly reduces the level of QLC. In addition, psychological well-being strengthens the positive influence of social support, where students with high psychological well-being are better able to utilize social support to overcome QLC. These findings emphasize the importance of interventions that increase social support and psychological well-being to help students face QLC challenges effectively. مستخلص البحث أزمة ربع العمر (QLC) هي مرحلة مرهقة يعاني منها الأفراد في الفئة العمرية 20-30 عامًا، وخاصة طلاب الفصل الدراسي النهائي الذين يواجهون متطلبات أكاديمية والانتقال إلى عالم العمل. تهدف هذه الدراسة إلى تحليل تأثير المساندة الاجتماعية على مستويات جودة الحياة لدى طلاب الفصل الدراسي الأخير ودور الصحة النفسية كوسيط. وباستخدام المنهج الكمي الارتباطي، تم جمع البيانات من طلاب الفصل الدراسي الأخير باستخدام استبيان يقيس الدعم الاجتماعي، وQLC، والرفاهية النفسية. أظهرت نتائج التحليل أن الدعم الاجتماعي يقلل بشكل كبير من مستوى QLC. بالإضافة إلى ذلك، تعمل الصحة النفسية على تقوية التأثير الإيجابي للدعم الاجتماعي، حيث يكون الطلاب الذين يتمتعون بصحة نفسية عالية أكثر قدرة على الاستفادة من الدعم الاجتماعي للتغلب على مشكلة QLC. تؤكد هذه النتائج على أهمية التدخلات التي تزيد من الدعم الاجتماعي والرفاهية النفسية لمساعدة الطلاب على مواجهة تحديات QLC بشكل فعال.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.009
GPT teacher head0.226
Teacher spread0.217 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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