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Brief report: Development of the family perceptions scale; a novel instrument for evaluating subjective functioning in the families of adolescents☆

2010· article· en· W2157391416 on OpenAlexfundno aff
Paul A. Tiffin, Carole Kaplan, Maurice Place

Bibliographic record

VenueJournal of Adolescence · 2010
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersMcMaster University
KeywordsPsychologyCronbach's alphaExploratory factor analysisRating scaleInternal consistencyNature versus nurtureDevelopmental psychologyReliability (semiconductor)Clinical psychologyScale (ratio)PsychometricsPerceptionTest (biology)

Abstract

fetched live from OpenAlex

A pool of 75 items relating to family functioning was created and piloted in a sample of 12-18 year olds (N = 673). The responses were subjected to an exploratory factor analysis which indicated the presence of three significant latent traits. The results were then used to inform the development of a rating instrument with five subscales labelled Nurture, Problem Solving, Expressed Emotion, Behavioural Boundaries and Responsibility. These demonstrated high levels of internal consistency (Cronbach's alphas .70-.81), high test-retest reliability (rho = .70-.82), varying degrees of intercorrelation (rho = .18-.75) and significant associations with family functioning as defined by the McMaster Family Assessment Device (p < 0.0001 in all cases). This novel instrument is a promising tool for use in both clinical practice and research.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations9
Published2010
Admission routes1
Has abstractyes

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