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Record W2105559471 · doi:10.2466/pms.99.2.591-601

Relative Contributions of Perceived Mattering to Parents and Friends in Predicting Adolescents' Psychological Well-Being

2004· article· en· W2105559471 on OpenAlexaffabout
Sheila K. Marshall

Bibliographic record

VenuePerceptual and Motor Skills · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyMultilevel modelSocial psychologyMisconductSocial comparison theoryExplained variationDevelopmental psychology

Abstract

fetched live from OpenAlex

Perceived mattering is the psychological tendency to perceive the self as significant to specific other people. The central goal of this study was to examine whether adolescents' perceived mattering across social spheres (parents and friends) is addtive or compensatory in predicting adolescents' psychological well-being. Tests of the relative importance of adolescents' perceived mattering to parents and friends for psychological well-being were conducted using data from two convenience samples. Study 1 participants were, on the average, 17.5 yr. old and living in rural northwestern United States (N=128, 50% male, n=64; 50% female, n=64). Study 2 participants, on the average, were 16.9 yr. old, from a suburban western Canadian region (N=532, 51.4% male, n=273; 48.6% female, n=259). Hierarchical regression analysed with indicators of self-concept and behavioral misconduct as dependent variables used perceived mattering to parents and perceived mattering to friends and the interaction between these two variables as independent variables. Perceived mattering in both social spheres seemed the optimal condition for adolescents. Perceived mattering to friends "added" to perceived mattering to parents in explaining variance in assessments of psychological well-being in both studies.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
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 science0.0000.001
Research integrity0.0000.001
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 head0.010
GPT teacher head0.291
Teacher spread0.281 · 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

Citations33
Published2004
Admission routes2
Has abstractyes

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