Characterizing Perceived Control Over Daily Stress: Longitudinal Changes and Associations With Affect
Bibliographic record
Abstract
Abstract Perceived control is an important psychosocial correlate of healthy aging. Using data from the National Study of Daily Experiences (N=1,047, M=55.82 years, SD=10.35, 57.27% Female), we examined cross-sectional age-related differences and longitudinal aging-related change in perceived control over daily stress across 10 years and explored the influence of stressor control on negative affect (NA) and positive affect (PA). Stressor control, NA, and PA were obtained from telephone interviews over 8 consecutive days in measurement bursts conducted in ~2008 and ~2017. Longitudinal analyses revealed significant declines in stressor control across 10 years (p<.001). Cross-sectional analyses revealed marginally lower stressor control among older individuals (p<.10). Within-person associations revealed lower NA and higher PA on days when stressor control was higher than usual (ps<.001). Results suggest that stressor control declines with age and holds promise as an important component of daily stress processes with relevance for health and well-being outcomes across the lifespan.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".