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Record W4414457741 · doi:10.1177/10497315251381277

Psychometric Evaluation of Six DASS-21 Short Forms for Male Survivors

2025· article· en· W4414457741 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueResearch on Social Work Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of Windsor
FundersInstitute of Gender and HealthSocial Sciences and Humanities Research Council of Canada
KeywordsGeneralizability theoryStructural equation modelingConfirmatory factor analysisDiscriminant validityConstruct validityAnxietyReliability (semiconductor)Psychometrics

Abstract

fetched live from OpenAlex

Purpose This study evaluated six abbreviated versions of the DASS-21 in adult male survivors of sexual abuse to identify valid, reliable, and efficient tools for trauma-informed assessment. Method Secondary data from 534 male survivors were analyzed using confirmatory factor analysis to assess model fit, reliability, and construct validity. Results All forms showed acceptable reliability ( α ≥ .70). After modification, all models fit the data well. The two-factor DASS-10 was statistically superior (CFI = .996, RMSEA = .025, nonsignificant χ ²). The three-factor DASS-12a also demonstrated excellent fit (CFI = .987, RMSEA = .040) and met all convergent validity criteria (all AVEs ≥ .50). Discriminant validity between anxiety and stress was not supported. Discussion The DASS-12a is the most sound three-factor option, while the D-10 offers a more robust, two-factor measure of general distress ideal for rapid screening. Generalizability is limited.

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.

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)0.022
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.317
GPT teacher head0.612
Teacher spread0.295 · 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