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Record W2111720006 · doi:10.5539/ijps.v6n2p151

The Relationship Between Self-Esteem and Loneliness: Does Social Anxiety Matter?

2014· article· en· W2111720006 on OpenAlexvenueno aff
Zewei Ma, Jia-jie Liang, Weinan Zeng, Jiang Su, Tian Liu

Bibliographic record

VenueInternational Journal of Psychological Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessPsychologySocial anxietyMediationSelf-esteemAnxietyFear of negative evaluationClinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

An inverse relationship between self-esteem and loneliness has been established in previous research. In the current study, the hypothesis that social anxiety plays a mediated role between self-esteem and loneliness was investigated. A total of 285 Chinese college students were enrolled and measured on a series of questionnaires to measure self-esteem, social anxiety and loneliness. The causal steps approach indicated that social anxiety partially mediated the relationship between self-esteem and loneliness. Furthermore, the Bootstrapping 95% confidence intervals as well as the Bayesian 95% credible intervals indicated that the indirect effect was significant. In addition, both the kappa-squared and R-squared mediation effect size measures indicated that the effect size of the mediating effect was medium, and this result was confirmed by the other four effect size measures, the partially standardized indirect effect, the completely standardized indirect effect, the proportion mediated and the ratio effect size measure.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.054
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.161
GPT teacher head0.492
Teacher spread0.330 · 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 teacher head, 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

Citations13
Published2014
Admission routes1
Has abstractyes

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