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Record W2317317716 · doi:10.14288/1.0100219

A Study of factors affecting clinical performance grades of nursing students

2010· article· en· W2317317716 on OpenAlex
Mary Boghos Kruger

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNursingPsychologyMedicineMedical education

Abstract

fetched live from OpenAlex

This study involved an investigation of factors affecting clinical performance grades of first and second year nursing students in a two-year Diploma program. The purpose of the study was to increase knowledge of factors which may correlate with clinical performance of nursing students; related goals were to assist nurse educators in predicting student clinical performance and providing guidance accordingly. The study was planned to test the following hypotheses: 1 . Grades in Nursing, Biology, and Psychology courses during the first semester of the nursing program account for a significant proportion of the variance in clinical performance scores of students; 2. Complexity of the nursing situation accounts for an additional significant proportion of the variance in clinical performance scores of students. The study population consisted of 59 first and second year nursing students. The dependent variable was the average of the clinical performance scores of the students given by the clinical instructors (who wrote and scored the anecdotal records) and two nursing judges (who scored the written anecdotal records). The independent variables were the grades in first semester Nursing, Biology, and Psychology; and the complexity of the nursing situation. Data for the study were collected over a three-week period. This phase included: (a) writing of anecdotal records of students' clinical performance by their instructors, and subsequently scoring of these records by the clinical instructor and two nursing judges using the scoring instrument; (b) assessing the level of complexity of the students' clinical assignments by their clinical instructors, using the complexity of the nursing situation instrument; and (c) obtaining the students' first semester Nursing theory, Psychology, and Biology grades from their permanent records. The clinical instructors and the nursing judges were trained in the writing and scoring of anecdotal records, and in determining the complexity of the students' assignments by utilizing a 10 minute videotape prepared by the investigator depicting the performance of a nursing student in a simulated clinical situation. Analyses of the data were carried out in two phases. Phase one included product moment correlational analysis and general izabi I ity analysis to determine the reliability of the clinical scores. Phase two included stepwise multiple regression analysis to determine the predictors of clinical scores. The findings of the study showed that the inter-rater correlations among the clinical instructors and two nursing judges were moderately strong (.58 to .84). Likewise generalizability analysis showed that the clinical scores were reliable. The data on complexity of the nursing situation showed very little variability in each of the four semesters and were therefore deleted from the regression analysis. The regression analysis showed that in Semesters II and III 51 and 76 percent of the variance in clinical performance scores could be accounted for by the grades in first semester Nursing, Psychology, and Biology. However, in Semesters IV and V the amount of variance accounted for by the independent variables was not significant. Thus, hypothesis 1 is accepted in the case of Semester II and III students, and rejected in the case of Semester IV and V students.

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)0.000
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 score0.246
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.045
GPT teacher head0.339
Teacher spread0.294 · 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