MétaCan
Menu
Back to cohort
Record W3015653563 · doi:10.1037/fsh0000471

Psychometric properties of the Portuguese adaptation of General Functioning of Family Assessment Device: A comparative study.

2020· article· en· W3015653563 on OpenAlexfundno aff
Ana C. Almeida, M. Engrácia Leandro, M. Graça Pereira

Bibliographic record

VenueFamilies Systems & Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
FundersFamily Process InstituteMcMaster University
KeywordsPortugueseAdaptation (eye)PsychologyPsychometricsClinical psychologyApplied psychologyCognitive psychologyLinguisticsNeuroscience

Abstract

fetched live from OpenAlex

INTRODUCTION: The General Family Functioning is a subscale of the Family Assessment Device (FAD) that assess overall family functioning. This study analyzed the psychometric properties of the General Family Functioning subscale in Portuguese families with adolescents diagnosed with Type I Diabetes and healthy adolescents comparing also family functioning in both samples. METHOD: A total of 100 parents of adolescents with Type I Diabetes and 106 parents of healthy adolescents participated in this study. A confirmatory factor analysis was performed for both samples to analyze the adequacy of each model. RESULTS: Both confirmatory factor analyses maintained the design in one-factor models with good fit indexes. The internal consistency in both samples was good, but slightly higher in parents of healthy adolescents. The instrument also presented good convergent and divergent validity. DISCUSSION: The Portuguese version of the General Family Functioning subscale showed good psychometric properties and reliability in healthy adolescents and in adolescent with Type I Diabetes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.316
GPT teacher head0.425
Teacher spread0.109 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFamilies Systems & HealthSame topicFamily and Patient Care in Intensive Care UnitsFrench-language works237,207