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Record W4312364016 · doi:10.30984/jiva.v3i1.2002

PENGARUH DUKUNGAN SOSIAL TEMAN SEBAYA TERHADAP QUARTER-LIFE CRISIS PADA DEWASA AWAL

2022· article· en· W4312364016 on OpenAlexaboutno aff
Alisa Munaya Asrar, Taufani Taufani

Bibliographic record

VenueJIVA Journal of Behavior and Mental Health · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyNonprobability samplingQuarter (Canadian coin)AnxietySocial supportPeer pressureClinical psychologyHumanitiesSocial psychologyPsychiatrySociologyDemographyPopulation

Abstract

fetched live from OpenAlex

ABSTRACTQuarter-life crisis is an emotional crisis that occurs in early adulthood in their 20s marked by worries about the future and pressure to face the realities of life. In this crisis, individuals experience anxiety related to work, career, finances, and interpersonal relationships. Social support from peers is considered quite effective in helping the problems in this crisis. Peer social support can reduce stress, depression, and mental health disorders. This study aims to determine whether there is an influence between peer social support on the quarter-life crisis in early adulthood. This study uses a quantitative approach with regression analysis. The respondents were 143 early adults around 21-35 years old. The purposive sampling technique was used to determine the sample. The data collection method used a Peer Social Support Scale based on Weiss's theory which was adapted and modified by Inayah in 2015 with 29 valid items (α = 0.888). The Quarter-Life Crisis Scale was prepared by the researcher based on the theory of Robbins & Wilner by modifying the instrument made by Sumartha in 2020 with 47 valid items (α = 0.938). The results of data analysis showed that peer social support had a significant effect on the Quarter-Life Crisis (F=13.744 and p < 0.01) with an effective contribution of 8,9%.Keywords: Peer social support, Quarter-life crisis, Early adulthood ABSTRAKQuarter-life crisis adalah krisis emosional yang terjadi pada dewasa awal yang berusia 20an ditandai dengan kekhawatiran akan masa depan dan tekanan untuk menghadapi realita kehidupan. Pada krisis ini individu akan mengalami cemas berkaitan dengan pekerjaan, karier, finansial, dan hubungan interpersonal. Dukungan sosial dari teman sebaya dianggap cukup efektif untuk membantu permasalahan yang terjadi pada krisis ini. Dukungan sosial teman sebaya dapat mengurangi tingkat stres, depresi, dan gangguan kesehatan mental. Penelitian ini bertujuan untuk mengetahui apakah dukungan sosial teman sebaya berpengaruh terhadap Quarter-Life Crisis pada dewasa awal. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis regresi. Subjek penelitian adalah individu dewasa awal berjumlah 143 orang berusia 21-35 tahun. Teknik pengambilan sampel menggunakan teknik purposive sampling. Metode pengumpulan data menggunakan Skala Dukungan Sosial Teman Sebaya berdasarkan teori Weiss yang diadaptasi dan dimodifikasi oleh Inayah tahun 2015 sebanyak 29 item valid (α = 0,888). Skala Quarter-Life Crisis disusun oleh peneliti berdasarkan teori Robbins & Wilner dengan memodifikasi instrumen yang dibuat oleh Sumartha tahun 2020 sebanyak 47 item valid (α = 0,938). Hasil analisis data menunjukkan bahwa dukungan sosial teman sebaya memberikan pengaruh yang signifikan terhadap Quarter-Life Crisis (F= 13,744 dan p < 0,01) dengan sumbangan efektif sebesar 8,9%.Kata kunci: Dukungan sosial teman sebaya, Quarter-life crisis, Dewasa awal

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.054
GPT teacher head0.424
Teacher spread0.370 · 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

Citations15
Published2022
Admission routes1
Has abstractyes

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