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Record W3011849443 · doi:10.5430/jnep.v10n6p73

Investigate the anxiety between undergraduate and postgraduate nursing students and its relation to their socio-demographic characteristics

2020· article· en· W3011849443 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Nursing Education and Practice · 2020
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyTrait anxietyMarital statusPsychologyClinical psychologyUndergraduate studentMedical educationMedicinePsychiatryEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Objective: Anxiety is a warning sign for an upcoming risk and is a common reaction of most people reacting to stressful events. The purpose of this study was to investigate anxiety between undergraduate and postgraduate students in nursing and its relation to their socio-demographic characteristics.Methods: This is a cross-sectional, quantitative study with a study sample of comprised of n = 177 nursing students, n1 = 121 undergraduate students and n2 = 56 postgraduate students. The collection of the empirical data was carried out using a fully structured and Self-reported questionnaire which recorded their individual characteristics and the State-Trait Anxiety Inventory (STAI). The statistical analysis was conducted using the software package SPSS.Results: State anxiety was not found to differ significantly between undergraduate and postgraduate students. While Trait and Total Anxiety differed significantly, showing higher mean levels for undergraduate students. Moreover, the students of the last two years of study had a higher mean level of State Anxiety compared to the students of the first year of study.Conclusions: The majority of undergraduate and postgraduate students showed relatively low levels of anxiety. Animportant factor to predict anxiety in undergraduate students was the year of study, while for the postgraduate students were age and marital status.

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.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.490
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.158
GPT teacher head0.473
Teacher spread0.314 · 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