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Record W6982282656

Hubungan antara self efficacy dengan quarter life crisis pada manusia Universitas Ahmad Dahlan

2024· other· id· W6982282656 on OpenAlexaboutno aff

Bibliographic record

VenueSelamat Datang di Repository UAD (Universitas Ahmad Dahlan) · 2024
Typeother
Languageid
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSelf-efficacyQuarter (Canadian coin)Life satisfactionStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk menguji hubungan antara self efficacy dengan quarter life crisis pada mahasiswa. Populasi pada penelitian ini adalah mahasiswa Fakultas Psikologi Universitas Ahmad Dahlan angkatan 2019 dengan sampel penelitian 158 mahasiswa. Penelitian ini menggunakan metode penelitian kuantitatif dengan alat ukur skala yang digunakan dalam penelitian ini yaitu skala self efficacy dan skala quarter life crisis. Analisis data penelitian ini menggunakan teknik analisis product moment dengan bantuan program Statistical Product and Service Solution (SPSS) 16.0 for windows. Hasil penelitian diperoleh koefisien korelasi sebesar - 0,922 dan taraf signifikansi p=0,000 (p<0,01) menunjukkan bahwa adanya hubungan negatif yang sangat signifikan antara self efficacy dengan quarter life crisis pada mahasiswa Fakultas Psikologi angkatan 2019. Sumbangan efektif variabel self efficacy terhadap variabel quarter life crisis pada penelitian ini sebesar 85,0 %. Berdasarkan hasil penelitian dapat disimpulkan bahwa semakin tinggi self efficacy maka semakin rendah quarter life crisis. Sebaliknya, semakin rendah self efficacy maka semakin tinggi quarter life crisis.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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