The Content and Structure of Schizotypy: A Study Using Confirmatory Factor Analysis
Bibliographic record
Abstract
This study examined the content of subscales within a multidimensional scale of self-reported schizotypy and their subsequent interrelationship by means of confirmatory factor analysis (CFA). Neither single-factor nor four-factor models provided good fits to the data; two-factor and three-factor models showed very good fits. On closer look, the three-factor solution was, overall, marginally the best fit and gave credence to a model with positive schizotypy, negative schizotypy, and social impairment as the factors. This model was in contrast to those that have disorganization as the third factor. In the present study, the subscale of disorganization loaded on the factor of positive schizotypy. The three-factor solution proposed here may be seen as giving support to the structures advocated by Meehl (1962), Strauss et al. (1974), and Lenzenweger et al. (1991).
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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 | 0.026 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".