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Record W2547537896 · doi:10.5539/ijps.v8n4p91

A Study of the Perceived Stress Level of University Students in Hong Kong

2016· article· en· W2547537896 on OpenAlexvenueno aff
Joey Man Yee KWOK, Douglas Kei Shing NG

Bibliographic record

VenueInternational Journal of Psychological Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersUniversity of Hong Kong
KeywordsPsychologyPerceived Stress ScaleAnxietyHappinessBeck Anxiety InventoryScale (ratio)Stress (linguistics)Clinical psychologyBeck Depression InventorySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

<p><strong>Background. </strong>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.</p><p><strong>Objective. </strong>This study aimed to provide more information and objective analysis with regard to the stress levels of undergraduate students in Hong Kong.</p><p><strong>Method. </strong>There was a total (<em>N</em> = 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.</p><p><strong>Results. </strong>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 (<em>M </em>= 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.</p><p><strong>Conclusions.</strong> 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. <strong></strong></p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.201
GPT teacher head0.450
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2016
Admission routes1
Has abstractyes

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