Short form Conners’ Adult ADHD Rating Scales: Factor structure and measurement invariance by sex in emerging adults
Bibliographic record
Abstract
INTRODUCTION: The short version of the Conners' Adult ADHD Rating Scales (CAARS-S:S) is a self-report measure used to identify symptoms of Attention Deficit/Hyperactivity Disorder (ADHD) during adulthood. However, its psychometric properties specifically in emerging adults, or the transitional age group between adolescence and adulthood, remain understudied. This study aimed to validate the factor structure of the CAARS-S:S in a sample of emerging adults. METHOD: The CAARS-S:S measure was completed by adults (n = 591) aged 18 to 29 located in English-speaking countries, including Australia, Canada and the United States. Confirmatory factor analysis was used to test a four-factor model of Inattention/Memory Problems, Hyperactivity/Restlessness, Impulsivity/Emotional Lability and Problems with Self-Concept, as well as the model's invariance by sex. Sex was also included as a covariate in the model to examine differences in males' and females' scores on each factor. RESULTS: and α = .86). It was observed that males tended to score higher on Inattention/Memory Problems while females scored higher on Problems with Self-Concept. CONCLUSION: This research establishes the psychometric properties of the CAARS-S:S, placing greater confidence in using it to screen for ADHD symptoms in emerging adults living in a Westernized cultural context. The detailed findings of this research, implications for the use of the CAARS-S:S in this age group and potential future directions for examining the properties of the measure are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".