Personality traits measured by the Swedish universities Scales of Personality: Factor structure and position within the five-factor model in an Estonian sample
Bibliographic record
Abstract
The study aims to test the reliability and validity of the Estonian version of the Swedish universities Scales of Personality (SSP), and to characterize the position of the SSP-measured traits within the basic personality dimensions of the five-factor model. A total of 529 participants completed the Estonian version of the SSP. A subsample of 197 persons completed the SSP together with the Revised NEO Personality Inventory (NEO-PI-R). The internal consistency of the SSP scales was satisfactory. Principal component analysis yielded three factors representing neuroticism, aggression and disinhibition. The factor solution obtained in the Estonian sample was similar to the original SSP study in the Swedish normative sample. NEO-PI-R Neuroticism had highest correlations with SSP neuroticism factor scales. Extraversion had strongest relationship with adventure seeking and low detachment. Agreeableness correlated positively with SSP social desirability and negatively to aggression-irritability scales. Conscientiousness facet Deliberation correlated with Impulsiveness. The Estonian SSP showed acceptable reliability and validity, which confirms that SSP is applicable in different social and cultural background. The SSP measures traits that correspond to the major personality models. The SSP characterizes three broad dimensions of personality, namely neuroticism, disinhibition and aggression, which are useful in assessment of personality correlates of mental disorders.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".