PARENTAL UNCERTAINTY IN THE ACUTE CARE SETTING—VALIDATION OF A SCALE
Bibliographic record
Abstract
Objective The purpose of this study was to validate a scale developed to measure parental uncertainty in the emergency setting (Perception of Parental Uncertainty Scale-Acute: PPUS-A). Parental perception of uncertainty in relation to acute childhood illness is an important yet under investigated variable of stress. Acute illnesses are common among children, are stressful for parents and often bring a family to attend an emergency department. The development and validation of a scale to measure parental uncertainty in the emergency setting may have significance for further research into this important construct. Methods This was a modification and validation of a scale developed to measure parental uncertainty. The study entailed three phases: 1) content validation, 2) face validation, and 3) construct validity and reliability. For the third phase, construct validation and reliability, 34 parents of children with a fever under the age of 2 years were recruited to complete the scale pre and post visit with the physician in the Emergency Department. Results Descriptive statistics will be generated using SPSS. Categorical data will be analysed using χ2 and Fisher’s exact test. Cronbach’s alpha will be used to assess internal consistency for the entire scale and for each of the four subscales. Validity analyses will include concurrent validity and construct validity. Conclusion Data entry will be completed by 30 May 2008. Data analysis will be completed in time for presentation.
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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 | 0.029 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".