A Study of the Perceived Stress Level of University Students in Hong Kong
Bibliographic record
Abstract
Background. In the school year 2015/2016, a significantly increased suicide rate among students in Hong Kong raised alarm bells to the public. High levels of stress among Hong Kong students was believed to be one of the main causes of these suicide incidents. In order to examine the stress levels of Hong Kong students, we targeted the group of undergraduates and initiated this research study. Objective. This study aimed to provide more information and objective analysis with regard to the stress levels of undergraduate students in Hong Kong. Method. There was a total (N = 337) number participants enrolled in this study at the Open University of Hong Kong. Meanwhile, Perceived Stress Scale-10 (PSS-10) was adopted as the measure of perceived stress level of university students. The Perceived Stress Scale-10 is a 10-item scale designed to measure the self-reported perceived stress level. The set of questionnaires also includes The Beck Anxiety Inventory (BAI) scale which was used for evaluating the convergent validity of PSS-10; The General Self Efficacy (GSE) Scale and the Subjective Happiness Scale (SHS) which were used for evaluating the related divergent validity. Results. Referring to the findings, the stress level of the participants who were mostly from the age group of 18-29 had an average score of 19.02 which was considered to be higher than the standard score (M = 14.2; SD = 6.2), and thus undergraduate students who belonged to this age group were found to present a potential higher stress level among those participants. Conclusions. This study simply showed the general stress level of the target population, and such information could provide a meaningful reference for further study of stress levels among Hong Kong students. However, it could not show the other detailed information such as the reasons for causing a high potential stress. Therefore, it suggested that the follow-up study could focus more specifically on a particular type of stress (i.e., academic stress) in investigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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".