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Reliability and validity of the Turkish form of the Somatosensory Amplification Scale

2007· article· en· W70238223 on OpenAlexaboutno aff
Hüseyin Güleç, Kemal Sayar

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2007
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishReliability (semiconductor)ValidityScale (ratio)Reliability engineeringPsychologySomatosensory systemComputer sciencePsychometricsEngineeringGeographyPhysicsClinical psychologyCartographyNeurosciencePhilosophyLinguistics

Abstract

fetched live from OpenAlex

In this study, the authors aimed to investigate the reliability and validity of the Somatosensory Amplification Scale (SSAS) that was developed by Barsky et al. in the Turkish population. The study was carried out with 42 patients with Fibromyalgia Syndrome and Asthma Diseases attending to outpatient Physical Therapy and Rehabilitation and Chest Diseases clinics and 86 healthy students from Karadeniz Technical University. SSAS scores were normally distributed, and had acceptable test-retest reliability (r: 0.73) and internal consistency (alpha, 0.62-0.76). Item to scale correlations varied from 0.10 to 0.72, and most were highly significant. Whereas, one item (item 1) in the control group and one item (item 2) in the patients group had low item-total score correlation (r < 0.15). Criterion related validity of the SSAS was shown with significant correlation between the Symptom Interpretation Questionnaire, the Toronto Alexithymia Scale and the Symptom Check List 90 Revised somatization subscale. The validity analysis of the scale resulted in a very high significant difference (P < 0.01) between the mean SSAS scores of the control and patient's group. Test-retest, internal reliability, and item-total score correlation, discriminating power for specific groups and criterion related validity of the SSAS show that the scale has acceptable reliability and validity for the Turkish population.

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 score0.008
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.038
GPT teacher head0.344
Teacher spread0.306 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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