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Record W2160977686 · doi:10.1177/1074840703261045

Psychometric Testing of the Health Options Scale with Adolescents

2004· article· en· W2160977686 on OpenAlexaffabout
Lori Laudenbach, Marilyn Ford‐Gilboe

Bibliographic record

VenueJournal of Family Nursing · 2004
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsScale (ratio)PsychologyReliability (semiconductor)Construct validityClinical psychologyPsychometricsConfirmatory factor analysisItem analysisInternal consistencyConstruct (python library)Applied psychologyConcurrent validityStructural equation modelingComputer science

Abstract

fetched live from OpenAlex

The availability of psychometrically sound family measures that are appropriate for parents and their children is limited. As a result, children’s perspectives of their families, including their efforts to promote health, are virtually absent in the scientific literature. The 21-item Health Options Scale (HOS) was designed to measure health work, the process by which families work together to promote their health. Although evidence of reliability and validity of the HOS has been provided in adult samples, the psychometric properties of this scale have not been assessed in adolescents. In the current study, the reliability and validity of the HOS was assessed using data from a convenience sample of 188 Canadian adolescents, with the intention of retaining the 3 subscales of the HOS if possible. The original 21-item scale demonstrated adequate internal consistency and evidence of construct validity on initial testing. Scale modification to improve fit of the data with the 3-dimensional structure of the HOS using item analysis and confirmatory factory analysis yielded different findings that support the original 21-item HOS and a new 15-item version. Implications for additional testing of the HOSand general considerations related to choice of instrument development and testing strategies are addressed.

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)0.000
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 score0.076
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.126
GPT teacher head0.462
Teacher spread0.336 · 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

Citations4
Published2004
Admission routes2
Has abstractyes

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