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The novice objective structured clinical evaluation tool: psychometric testing

2010· article· en· W2101380317 on OpenAlexaff
Mireille Walsh, Patricia Hill Bailey, Sharolyn Mossey, Irene Koren

Bibliographic record

VenueJournal of Advanced Nursing · 2010
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsLaurentian UniversityNorthern College
Fundersnot available
KeywordsCronbach's alphaExploratory factor analysisConstruct validityReliability (semiconductor)PsychologyConfirmatory factor analysisPsychometricsInter-rater reliabilityClinical psychologyMedicineRating scaleStatisticsDevelopmental psychologyMathematics

Abstract

fetched live from OpenAlex

AIM: This paper is a report of a study of the psychometric properties of the Novice Objective Structured Clinical Evaluation Tool. BACKGROUND: A collaborative undergraduate nursing programme is currently using an objective structured clinical evaluation at the conclusion of the first nursing clinical course to determine student competence as a component of quality and safety education. However, the reliability and validity of the assessment tool has not been established. METHODS: Psychometric testing was conducted with a convenience sample of 565 nursing students. Data were collected during three consecutive years from 2002 to 2004. Exploratory factor analysis and reliability testing were conducted on this 25-item tool. RESULTS: Principal axis factoring method identified two factors through the orthogonal, oblimin and promax rotations: Factor 1 Safety and Factor 2, Anticipation. Spearman-Brown's result for Factor 1 was 0·93 and for Factor 2 was 0·77. Cronbach's alpha was.94 for Factor 1 and 0·71 for Factor 2. CONCLUSION: The tool was found to have adequate construct validity and reliability. Its stability should be tested by conducting test-retest analysis. Equivalency dimensions of reliability should be evaluated by looking at interrater reliability. This tool shows merit for assessing elements of quality and safety education.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.047
GPT teacher head0.426
Teacher spread0.379 · 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 designOther design
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

Citations10
Published2010
Admission routes1
Has abstractyes

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