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Record W4400488323 · doi:10.1080/00223891.2024.2375213

Broader Issues in Test Translation and Validation: A Commentary Inspired by Macina et al. (2023)

2024· letter· en· W4400488323 on OpenAlexaff
Dominick Gamache, Philippe Leclerc, Alexandre Côté, David Théberge, Claudia Savard

Bibliographic record

VenueJournal of Personality Assessment · 2024
Typeletter
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsUniversité LavalUniversité de SherbrookeCollège LaflècheUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychologyTest (biology)Validation testTest validityPsychometricsClinical psychologyEcology

Abstract

fetched live from OpenAlex

Macina et al. (2023) recently reported mixed results on the German translation of the Self and Interpersonal Functioning Scale (SIFS). By focusing on suboptimal indices of structural validity, they recommended choosing other available instruments over the SIFS in future research on personality impairment. Reflecting on Macina et al.'s overall conclusions inspired us to consider broader issues in the field of personality impairment assessment. In this commentary, we discuss some issues regarding test translation and validity raised by Macina et al.'s article. We advise against assuming equivalence between original and translated versions of a test and discuss some caveats regarding comparison between different instruments based on structural validity. We also call into question whether the latter should be the litmus test for judging the quality of a measure. Finally, we discuss how the proliferation of personality impairment measures can benefit the broader field. Notably, this would allow moving toward a "what works for whom" approach that considers the match between psychometric property, desired use of the instrument, and characteristics of the target 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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.205
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.029
GPT teacher head0.353
Teacher spread0.323 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations1
Published2024
Admission routes1
Has abstractyes

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