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Record W2201728879 · doi:10.1002/pits.21889

MEASURING KINDNESS AT SCHOOL: PSYCHOMETRIC PROPERTIES OF A SCHOOL KINDNESS SCALE FOR CHILDREN AND ADOLESCENTS

2015· article· en· W2201728879 on OpenAlexaff
John Tyler Binfet, Anne Gadermann, Kimberly A. Schonert‐Reichl

Bibliographic record

VenuePsychology in the Schools · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsKindnessPsychologyProsocial behaviorEmpathyDevelopmental psychologyHappinessDiscriminant validityContext (archaeology)Scale (ratio)Social psychologyConvergent validityPsychometricsInternal consistency

Abstract

fetched live from OpenAlex

In this study, we sought to create and validate a brief measure to assess students’ perceptions of kindness in school. Participants included 1,753 students in Grades 4 to 8 attending public schools in a large school district in southern British Columbia. The School Kindness Scale (SKS) demonstrated a unidimensional factor structure and adequate internal consistency. The pattern of associations of the SKS to a corpus of theoretically relevant constructs obtained via student self‐reports (classroom supportiveness, optimism, happiness, prosocial and social goals, satisfaction with life, and academic self‐efficacy) provided evidence for convergent and discriminant validity. Furthermore, the SKS was significantly and positively associated with teacher reports on students’ empathy, social skills, and peer acceptance. Analyses by gender and grade indicated that girls perceived significantly higher levels of kindness in school than did boys, and that students’ perceptions of kindness in school decreased from fourth to eighth grade, with fourth‐grade students reporting the highest levels of kindness in school and eighth‐grade students reporting the lowest levels. The theoretical importance of investigating students’ perceptions of kindness in the school context and the practical implications of this research for informing educational efforts to promote social and emotional competencies in school communities 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 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)0.003
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.116
GPT teacher head0.352
Teacher spread0.236 · 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

Citations43
Published2015
Admission routes1
Has abstractyes

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