Predictors and students’ perceptions of NCLEX-RN success in a BS program
Bibliographic record
Abstract
Background: First time National Council Licensure Examination-Registered Nurses (NCLEX-RN) pass rates and successful student progression in a program are considered key indicators of quality of nursing programs. The purpose of this study was to investigate the predictors of first-attempt NCLEX-RN success among multiple factors, and to explore the students’ perception for NCLEX-RN.Methods: A retrospective descriptive design was used including a total of 671 students who were admitted as a junior to the program between spring 2012 and fall 2015. Descriptive statistics and multiple logistic regression models were conducted to find significant predictors of first time NCLEX-RN success.Results: Course grades for adult health, family health, critical care health, and the repeated course history, and HESI scores for adult health, family health, and the EXIT exam were significant predictors of NCLEX-RN success. Students perceived that the review course and practice test were helpful in passing NCLEX-RN.Conclusions: Findings of this study would be beneficial for nursing programs to strategize effectively for students who are at risk of failing and support them in their NCLEX-RN preparation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".