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Record W2533150155 · doi:10.1177/0163278716674247

A Factor Analytic Investigation of the Person-in-Recovery and Provider Versions of the Revised Recovery Self-Assessment (RSA-R)

2016· article· en· W2533150155 on OpenAlex
Barna Konkolÿ Thege, Elke Ham, Laura C. Ball

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEvaluation & the Health Professions · 2016
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsWaypoint Centre for Mental Health Care
Fundersnot available
KeywordsConfirmatory factor analysisMental healthAutonomyPsychologyScale (ratio)Mental illnessComponent (thermodynamics)Exploratory factor analysisPsychometricsMental health careClinical psychologyPsychiatryStructural equation modelingComputer science

Abstract

fetched live from OpenAlex

Recovery is understood as living a life with hope, purpose, autonomy, productivity, and community engagement despite a mental illness. The aim of this study was to provide further information on the psychometric properties of the Person-in-Recovery and Provider versions of the Revised Recovery Self-Assessment (RSA-R), a widely used measure of recovery orientation. Data from 654 individuals were analyzed, 519 of whom were treatment providers (63.6% female), while 135 were inpatients (10.4% female) of a Canadian tertiary-level psychiatric hospital. Confirmatory and exploratory techniques were used to investigate the factor structure of both versions of the instrument. Results of the confirmatory factor analyses showed that none of the four theoretically plausible models fit the data well. Principal component analyses could not replicate the structure obtained by the scale developers either and instead resulted in a five-component solution for the Provider and a four-component solution for the Person-in-Recovery version. When considering the results of a parallel analysis, the number of components to retain dropped to two for the Provider version and one for the Person-in-Recovery version. We can conclude that the RSA-R requires further revision to become a psychometrically sound instrument for assessing recovery-oriented practices in an inpatient mental health-care setting.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.276
GPT teacher head0.458
Teacher spread0.182 · 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