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Record W2911830215 · doi:10.22158/wjssr.v6n1p45

Negative Affect, Life Satisfaction, and Internet Gaming Disorder: Exploring the Mediating Effect of Coping and the Moderating Effect of Passion

2019· article· en· W2911830215 on OpenAlexaff
Devin J. Mills, Wen Li, Loredana Marchica

Bibliographic record

VenueWorld Journal of Social Science Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsMcGill University
Fundersnot available
KeywordsPassionAffect (linguistics)PsychologyMediationModerated mediationLife satisfactionCoping (psychology)Video gameSocial psychologyClinical psychologyMultimedia

Abstract

fetched live from OpenAlex

<em>No research has examined whether the effect of high negative affect and poor life satisfaction on Internet Gaming Disorder (IGD) is explained by gaming to cope or is dependent upon users’ passion for video gaming. An online sample of adults (N = 969 adults; 60.5% male) reported their passion for video games, positive and negative affect, life satisfaction, and IGD severity. A latent profile analysis on the passion subscales yielded four subgroups: (1) minimally passionate; (2) moderately passionate; (3) harmoniously passionate (HP); and (4) Obsessively Passionate (OP) video game users. Although negative affect was directly and indirectly associated with greater IGD through gaming to cope in the overall sample, a follow-up moderated-mediation model revealed that gaming to cope did not mediate the association between negative affect and IGD for OP users, but did for HP users. The implications for future research on the mechanisms of IGD are discussed.</em>

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)0.028
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.033
GPT teacher head0.391
Teacher spread0.358 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2019
Admission routes1
Has abstractyes

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