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Record W3176011990 · doi:10.7717/peerj.11639

What do alexithymia items measure? A discriminant content validity study of the Toronto-alexithymia-scale–20

2021· article· en· W3176011990 on OpenAlexaboutno aff
Elke Veirman, Dimitri Van Ryckeghem, Gregory Verleysen, Annick De Paepe, Geert Crombez

Bibliographic record

VenuePeerJ · 2021
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaToronto Alexithymia ScalePsychologyFeelingDiscriminant validityAnxietyConstruct (python library)Clinical psychologyConstruct validityPsychometricsScale (ratio)PsychiatrySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Questions have been raised about whether items of alexithymia scales assess the construct alexithymia and its key features, and no other related constructs. This study assessed the (discriminant) content validity of the most widely used alexithymia scale, i.e., the Toronto Alexithymia Scale (TAS-20). METHODS: = 81) rated to what extent TAS-20 items and items of related constructs were relevant for assessing the constructs 'alexithymia', 'difficulty identifying feelings', 'difficulty describing feelings', 'externally-oriented thinking', 'limited imaginal capacity', 'anxiety', 'depression', and 'health anxiety'. RESULTS: Results revealed that, overall, the TAS-20 did only partly measure 'alexithymia'. Only the subscales 'difficulty identifying feelings' and 'difficulty describing feelings' represented 'alexithymia' and their intended construct, although some content overlap between these subscales was found. In addition, some items assessed (health) anxiety equally well or even better. CONCLUSIONS: Revision of the TAS-20 is recommended to adequately assess all key features of alexithymia. Findings with the TAS-20 need to be interpreted with caution in people suffering from medical conditions.

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 score0.044
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.099
GPT teacher head0.308
Teacher spread0.208 · 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

Citations28
Published2021
Admission routes1
Has abstractyes

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Same venuePeerJSame topicPsychosomatic Disorders and Their TreatmentsFrench-language works237,207