Psychometric Properties and Factorial Structure of General Mattering Scale, Anti-Mattering Scale, and Fear of Not Mattering Inventory Within the Palestinian Context
Bibliographic record
Abstract
The current study examined the psychometric properties and correlates of three measures assessing individual differences in mattering among people from Palestine assessed in January, 2024. This study uniquely considers mattering as a resource and feelings of not mattering as a risk factor among people experiencing traumatizing life circumstances. Our sample consisted of 950 Palestinian adults (305 men and 645 women). They completed the General Mattering Scale, the Anti-Mattering Scale, the Fear of Not Mattering Inventory, and the Depression Anxiety Stress Scales-21 (DASS-21). Extensive psychometric tests supported these measures as each having one factor with adequate reliability and validity. Examination of means indicated significantly elevated levels of fear of not mattering, anxiety, depression, and stress. Regression analyses further established that each measure predicted significant unique variance in anxiety, depression, and stress. The findings attest to the further use of these measures and how feelings of mattering can be vital resource as the need for resilience and adaptability escalates due to traumatizing events.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".