Sleep Locus of Control: Report on a New Scale
Bibliographic record
Abstract
The psychometric properties of a new 8-item measure, the Sleep Locus of Control Scale (SLOC), were investigated. A sample of 425 adult alumnae from the University of Manitoba and 57 community volunteers with chronic insomnia were surveyed. Results showed that the SLOC had acceptable reliability (i.e., internal consistency) and demonstrated convergent and discriminant validity through patterns of association with the Multidimensional Health Locus of Control Scale (Wallston, Wallston, & DeVellis, 1978). Principal factors extraction with varimax rotation identified two factors underlying the SLOC Scale. One factor captured an internal sleep locus of control orientation and the other reflected a chance sleep locus of control orientation. In the adult alumnae sample, having a more chance sleep locus of control was associated with greater perfectionism, depression, and anxiety. In adults with chronic insomnia, having a more internal sleep locus of control orientation was associated with increased sleep-related anxiety. One implication of the study is that too much emphasis on developing an internal sleep locus of control may be counterproductive (i.e., associated with increased sleep-related anxiety). Instead, achieving a balance between an internal and chance sleep locus of control orientation may be an important goal when treating individuals with chronic insomnia.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".