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Record W3030383824 · doi:10.30958/ajss.7-3-3

Relating Parenting Styles to Adult Emotional Intelligence: A Retrospective Study

2020· article· en· W3030383824 on OpenAlexaff
Marilyn Cameron, Kenneth M. Cramer, Dana Manning

Bibliographic record

VenueAthens Journal of Social Sciences · 2020
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyEmotional intelligenceDevelopmental psychologyParenting styles

Abstract

fetched live from OpenAlex

Parenting style is a known associate to many aspects of emotion socialization, knowledge, and self-understanding. However, there is little empirical research comparing parenting styles to emotional intelligence overall. To evaluate the link between parenting style and current emotional intelligence, the present study asked psychology undergraduates to complete a retrospective measure of their parents' childrearing behaviours (coded as authoritative, authoritarian, permissive, and neglecting) plus a measure of their current emotional intelligence. It was hypothesized that authoritative parenting would relate to highest emotional intelligence levels, permissive parenting and authoritarian parenting to low emotional intelligence levels, and neglecting parenting to the lowest emotional intelligence levels. Results showed that emotional intelligence was higher for those raised authoritatively and permissively than for those raised by authoritarian or neglecting parenting styles, indicating that the responsiveness and levels of support characteristic of these styles have the strongest positive relation to adult emotional intelligence. The implications of the present findings, as well as the directions for future research, are discussed.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.112
GPT teacher head0.410
Teacher spread0.299 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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Same venueAthens Journal of Social SciencesSame topicEmotional Intelligence and PerformanceFrench-language works237,207