Assessing Motivations for Suicide Attempts: Development and Psychometric Properties of the Inventory of Motivations for Suicide Attempts
Bibliographic record
Abstract
This study describes the psychometric properties of the Inventory of Motivations for Suicide Attempts (IMSA). The IMSA was designed to comprehensively assess motivations for suicide emphasized by major theories of suicidality. The IMSA was administered to two samples of recent suicide attempters, undergraduates (n = 66) and outpatients (n = 53). The IMSA exhibited a reliable two-factor structure in which one factor represented Intrapersonal motivations related to ending emotional pain, and the second represented Interpersonal motivations related to communication or help-seeking. Convergent validity and divergent validity of IMSA scales were supported by expected patterns of correlations with another measure of suicide motivations. In addition, the IMSA scales displayed clinical utility, in which greater endorsement of intrapersonal motivations was associated with greater intent to die, whereas greater endorsement of interpersonal motivations was associated with less lethal intent and greater likelihood of rescue. Findings suggest the IMSA can be of use for both research and clinical purposes when a comprehensive assessment of suicide motivations is desired.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".