The psychometric properties of a brief version of the Systemizing Quotient
Bibliographic record
Abstract
The construct of systemizing—the drive to construct or understand systems—has an important role in the Extreme Male Brain theory of autism. While a brief version of the Systemizing Quotient (SQ) has been proposed, there is a need to assess its psychometric properties. This study assessed factorial and construct validity of an 8-item version of the SQ on a sample of 627 participants. A single-factor latent variable model with a single correlated error term showed adequate fit in a confirmatory factor analysis. This model also demonstrated metric invariance across genders when controlling for an effect of age on item responses. Reliability was acceptable, α =.72. As further evidence for construct validity, SQ scores showed expected relationships with mental rotation performance, study area, trait anxiety, childhood extroversion, childhood agreeableness, and gender. Overall, the results indicated good psychometric properties for the brief version of the SQ, suggesting that this scale could be useful when researchers require a systemizing measure that is minimally burdensome to complete.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".