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Record W4414167399 · doi:10.1037/tra0002007

Psychometric properties of the Childhood Adversity and Social Stress Questionnaire, Parent Report (CASSQ-PR), a measure tailored to assess stressful experiences and traumatic stress symptoms in autistic youth.

2025· article· en· W4414167399 on OpenAlexafffund
Connor M. Kerns, Anat Zaidman‐Zait, Diana L. Robins, Paul Shattuck, Carla A. Mazefsky, Craig J. Newschaffer, Steven Berkowitz

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMichael Smith Health Research BCCanada Foundation for Innovation
KeywordsPsycINFOMeasure (data warehouse)PsychometricsStress (linguistics)AutismMEDLINESocial functioning

Abstract

fetched live from OpenAlex

OBJECTIVE: Sources and symptoms of traumatic stress may vary in autistic versus nonautistic youth and be challenging to assess given phenotypic overlap; nonetheless, there is a dearth of autism-tailored measures. METHOD: = 729; 8-17 years; 80% male; recruited February-December 2018) with communicative speech. RESULTS: fifth edition posttraumatic stress disorder model per confirmatory factor analysis; however, exploratory structural equation modeling suggested some adaptations to remove low-loading items, reduce item cross-loading, and enhance model fit. CONCLUSIONS: The CASSQ-PR offers a valid estimate of SE and TSS as observed by parents in verbally communicative, school-age autistic youth; however, further research with more sociodemographically diverse and clinical samples is warranted. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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)0.003
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.197
GPT teacher head0.446
Teacher spread0.249 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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