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Record W2235965841 · doi:10.5539/ass.v12n2p52

Psychometric Properties of the Padua Inventory in an Iranian Sample

2016· article· en· W2235965841 on OpenAlexvenueno aff
Nasim Seyedsalehi, Rohany Nasir, Wan Shahrazad Wan Sulaiman, Ashkan Seyedsalehi, Sadaf Seyedsalehi

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaPersianPsychologyConstruct validityClinical psychologyExploratory factor analysisPopulationMental healthReliability (semiconductor)ValiditySample (material)PsychiatryMedicinePsychometricsEnvironmental healthTheology

Abstract

fetched live from OpenAlex

<p>To test the validity and reliability of Padua Inventory (PI) on an Iranian population in Shiraz city Iran, this research has been conducted. In the current study, items of PI following translation into Persian were carried out. Along the way, a sample consisting of two groups of subjects as follows: patients with obsessive-compulsive disorder (OCD) who were referred to mental health centers located in Shiraz (n = 100), and healthy individuals (n = 100) who were randomly selected employees of mental health centers, located in Shiraz city. The results of exploratory factor analysis (EFA) and Cronbach’s alpha showed a good level of the reliability and confirmed PI factorial structure that was consistent with previous studies. The results showed a significant statistical difference between OCD patients and control participants regarding PI scores with patients showing higher scores to provide evidence of construct validity of PI as an instrument.</p>

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)0.000
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 score0.368
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.311
Teacher spread0.277 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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