The assessment and measurement of adult life stress: Basic premises, operational principles, and design requirements.
Bibliographic record
Abstract
Life stress is a central factor in the onset and course of a wide range of medical and psychiatric conditions. Determining the precise etiological and pathological consequences of stress, though, has been hindered by weaknesses in prevailing definitional and measurement practices. The purpose of the current paper is to evaluate the primary strategies for defining and measuring major and minor acute life events, chronic stressors, and daily hassles as informed by 3 basic scientific premises. The first premise concerns the manner in which stress is conceptualized and operationally defined, and specifically we assert that stress measures must not conflate the stress exposure with the stress response. The second premise concerns how stress exposures are measured, and we provide guidelines for optimizing standardized and sensitive indicators of life stress. The third premise addresses the consequences of variations in the procedures for life event measurement with regard to the validity of the research designs employed. We show that life stress measures are susceptible to several sources of bias, and if these potential sources of bias are not controlled in the design of the research, spurious findings may result. Our goal is to provide a useful guide for researchers who consider life stress to be an important factor in their theoretical models of disease, wish to incorporate measures of life stress in their research, and seek to avoid the common pitfalls of past measurement practices. (PsycINFO Database Record
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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 | 0.091 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".