MétaCan
Menu
Back to cohort
Record W2010708213 · doi:10.1016/j.ejpain.2008.10.004

The factor structure and factorial invariance of the Pain‐Coping Questionnaire across age: Evidence from community‐based samples of children and adults

2008· article· en· W2010708213 on OpenAlexaff
Anna Huguet, Jordi Miró, Rubén Nieto

Bibliographic record

VenueEuropean Journal of Pain · 2008
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
FundersGeneralitat de Catalunya
KeywordsMeasurement invarianceConfirmatory factor analysisPsychologyCoping (psychology)Structural equation modelingInternal consistencyConvergent validityClinical psychologyFactorialPsychometricsDevelopmental psychologyStatistics

Abstract

fetched live from OpenAlex

The Pain-Coping Questionnaire was developed for children to assess pain-coping strategies. It was originally suggested as a second-order factor measure: eight first-order factors and three higher-order factors. The main objective of this study was to investigate the psychometric properties of the PCQ when used with children and adults. Two samples of 702 children and 590 adults completed the measure. Confirmatory factor analytic procedures were used to examine the factor structure, and invariance across samples. The results provided good support for a second-order structural model of seven subscales for children, for a first-order structural model of seven subscales for adults, and for between-group invariance first-order structural model. These findings suggest that data obtained on the seven first-order factors from children are directly comparable to scores from adults. The internal consistency, criterion validity and convergent validity were also confirmed in both children and adult samples. This work also reports some preliminary findings related to sex and age differences on the use of pain-coping styles.

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)0.008
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 score0.110
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
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)0.0000.000

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 head0.027
GPT teacher head0.273
Teacher spread0.246 · 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

Citations37
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of PainSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207