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Record W4390990725 · doi:10.1016/j.jad.2024.01.127

Cross-cultural validation and measurement invariance of anxiety and depression symptoms: A study of the Brief Symptom Inventory (BSI) in 42 countries

2024· article· en· W4390990725 on OpenAlexafffund
Gonzalo R. Quintana, Fernando P. Ponce, Javier Escudero‐Pastén, J. Francisco Santibáñez-Palma, Léna Nagy, Mónika Koós, Shane W. Kraus, Zsolt Demetrovics, Marc N. Potenza, Rafael Ballester‐Arnal, Dominik Batthyány, Sophie Bergeron, Joël Billieux, Peer Briken, Julius Burkauskas, Georgina Cárdenas‐López, Joana Carvalho, Jesús Castro‐Calvo, Lijun Chen, Giacomo Ciocca, Ornella Corazza, Rita I. Csákó, David P. Fernandez, Elaine F. Fernandez, Hironobu Fujiwara, Johannes Fuß, Roman Gabrhelík, Ateret Gewirtz‐Meydan, Biljana Gjoneska, Mateusz Gola, Joshua B. Grubbs, Hashim Talib Hashim, Md. Saiful Islam, Mustafa Ismail, Martha C. Jiménez‐Martínez, Tanja Jurin, Ondrej Kalina, Verena Klein, András Költő, Chih‐Ting Lee, Sang‐Kyu Lee, Karol Lewczuk, Chung‐Ying Lin, Christine Löchner, Silvia López‐Alvarado, Kateřina Lukavská, Percy Mayta‐Tristán, D.J. Miller, Oľga Orosová, Gábor Orosz, Gabriel C. Quintero Garzola, Jano Ramos‐Diaz, Kévin Rigaud, Ann Rousseau, Marco de Tubino Scanavino, Marion K. Schulmeyer, Pratap Sharan, Mami Shibata, Vera Sigre‐Leirós, Luke Sniewski, Ognen Spasovski, Vesta Steiblienė, Dan J. Stein, Berk C. Ünsal, Marie‐Pier Vaillancourt‐Morel, Marie Claire Van Hout, Beáta Bőthe

Bibliographic record

VenueJournal of Affective Disorders · 2024
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversité du Québec à Trois-RivièresLawson Health Research InstituteWestern UniversityUniversité de Montréal
FundersSistema Nacional de InvestigadoresNemzeti Kutatási, Fejlesztési és Innovaciós AlapJapan Society for the Promotion of ScienceWorldwide Universities NetworkVermont Agency of Natural ResourcesConseil Régional Hauts-de-FranceNational Office for Philosophy and Social SciencesNemzeti Kutatási Fejlesztési és Innovációs HivatalSecretaría Nacional de Ciencia, Tecnología e InnovaciónNarodowe Centrum NaukiNarodowym Centrum NaukiUniverzita Karlova v PrazeAuckland University of Technology, New ZealandNational Research Foundation of KoreaNational Cheng Kung UniversityInternational Center for Responsible GamingRégion Hauts-de-FranceSmoking Research FoundationAgence Nationale de la RechercheNational Research Council CanadaNemzeti Kutatási és Technológiai HivatalMinisterio de Educación, Gobierno de Chile
KeywordsMeasurement invarianceDepression (economics)AnxietyClinical psychologyPsychologyCross-cultural studiesPsychometricsPsychiatryConfirmatory factor analysisStructural equation modelingSocial psychologyStatistics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.335
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), 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

Citations20
Published2024
Admission routes2
Has abstractno

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Same venueJournal of Affective DisordersSame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207