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Record W2238827638 · doi:10.5539/ass.v12n2p1

Adolescents’ Life Satisfaction in Selangor, Malaysia: The Effect of Demographic Differences

2016· article· en· W2238827638 on OpenAlexvenueno aff
Chiong Hoe Nee, Siti Nor Yaacob, Rozumah Baharudin, Jo‐Pei Tan

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsLife satisfactionPsychologyCluster samplingDemographyCluster (spacecraft)Test (biology)GerontologyFamily lifeMedicineSocial psychology

Abstract

fetched live from OpenAlex

This present study aims to describe the level of overall and domains-specific life satisfaction and to determine how differences in demographic variables can influence life satisfaction among adolescents in Selangor, Malaysia. The sample of the study consisted of 416 school-going adolescents, aged between 14 to 17 years old, who were selected through multi-stage cluster sampling from 12 secondary schools. The findings showed that adolescents generally reported positive level of life satisfaction. Differences in life satisfaction by age, gender and family structure were compared by t-test analysis. Younger adolescents display higher life satisfaction compared to older adolescents. Males reported higher level of life satisfaction in school domain and lower score in living environment domain compared to females. Respondents who were living in intact family arrangement also reported to have higher life satisfaction than those who were living with other types of family arrangements. In conclusion, cognitive judgment of adolescents’ life satisfaction differ with respect to their biological age, gender, and family structure.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.295
Teacher spread0.282 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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