One-Year Test-Retest Reliability of the Inventory of Statements about Self-Injury (ISAS)
Bibliographic record
Abstract
Nonsuicidal self-injury (NSSI) is a growing public health problem among adolescents and young adults. The Inventory of Statements About Self-Injury (ISAS) is a self-report measure designed to assess NSSI behaviors and functions. The current study examines the one-year test-retest reliability of the ISAS in a sample of young adult self-injurers. Results indicate that the ISAS behavioral and functional scales demonstrate good stability over one year. For the behavioral scales, test-retest correlations ranged from .52 (biting) to .83 (burning), with a median of .68. For the functional scales, test-retest correlations were .60 for the superordinate intrapersonal functions scale and .82 for the superordinate interpersonal functions scale. Regarding individual functions, test-retest correlations ranged from .35 (affect regulation) to .89 (peer bonding), with a median of .59. Findings suggest the ISAS has good test-retest reliability and contributes to the growing literature on the psychometric properties of the ISAS.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".