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Record W2102260068 · doi:10.1093/jpepsy/27.1.27

Developmental Differences in Children's Use of Rating Scales

2002· article· en· W2102260068 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Pediatric Psychology · 2002
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of British Columbia
FundersNational Health and Medical Research CouncilMedical Research Council Canada
KeywordsPsychologyRating scaleFeelingLikert scaleDevelopmental psychologyClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the effect of child age and number of response choices on children's tendency to respond at the extremes of Likert-type scales rating emotional states. METHODS: Sixty children (5-6 years, 7-9 years, 10-12 years) were randomly assigned to use either three or five response choices in providing ratings in three different task conditions. Tasks were designed to have correct choices at the midpoints of the rating scales. Children also completed a self-report feelings questionnaire. RESULTS: Results showed that younger children responded in an extreme manner when rating emotion-based, but not physical, tasks. Children's extreme scores did not vary as a function of number of response choices used. More extreme scores on the three tasks were related to more extreme scores on the feelings questionnaire. CONCLUSIONS: These results indicate that young children may respond in an extreme manner when rating emotional states. Researchers and clinicians should take this into account when interpreting children's self-reporting ratings.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.293
Teacher spread0.234 · 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