The Use of Discriminant Function Analysis to Predict Student Success on the NCLEX-RN

Haas, Richard E.; Nugent, Katherine E.; Rule, Rebecca A.

doi:10.3928/01484834-20041001-03

Cited by 48 publications

(19 citation statements)

References 19 publications

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“…The study has found association between grades obtained in the WASSSE/SSSCE and performance in the LE. These findings are congruent with several research findings which have suggested that pre-entry qualification is an important criterion for success in nursing schools (Geiser, Santelices, 2007;Giddens, Gloeckner, 2005;Haas et al, 2004). This could be explained by the assertion that previous performance affects future performance and that if admission grade points are high, then the academic performance is likely to be high and vice versa.…”

Section: Discussionsupporting

confidence: 90%

“…However, a related study showed that female nursing students performed better academically than their male colleagues . Haas, Nugent and Rule (2004) explained that student factors like pre-entry qualifications is vital to academic performance. They emphasized that identifying and recruiting students who are most likely to succeed in the nursing programmes should be an important admission criterion for entering into the nursing profession.…”

Section: Introductionmentioning

confidence: 99%

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Students’ Demographic, Academic Characteristics and Performance in Registered General Nursing Licensing Examination in Ghana

2018

European Journal of Contemporary Education

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The decreasing performance of student nurses in the professional licensure examinations (LE) in Ghana is a major concern to stakeholders, especially at a time when the nurse-patient ratio stands at 1: 1500. The study sought to determine the effect of students' demographic and academic characteristics on performance in the Registered General Nursing (RGN) LE. A descriptive retrospective study was conducted using a researcher designed checklist to review the administrative and academic records of 324 nursing students who wrote the RGN LE between 2007 and 2012. A stratified sampling method was used to select the participants for the study. Chisquare statistics were used to determine the effect of the predictors: demographic characteristics, entry grade and Final Grade Point Average (FGPA) on the dependent variable (LE performance). The study revealed a relationship between gender and LE performance, residential status, entry grade and students' FGPA at the college. However, no significant relationship was found between the age of participants, subject background at high school and LE outcomes. We conclude that students' socio-demographic and academic characteristics such as gender, campus residential status, entry grade and FGPA influence the outcome of the final LE of RGN students. Consequently, priority should be given to applicants with high pre-entry aggregate during recruitment and on campus accommodation should be provided for all trainee nurses. Furthermore, weak students with low FGPA should be given special tuition before they are registered for the final LE to improve their outcomes.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Students’ Demographic, Academic Characteristics and Performance in Registered General Nursing Licensing Examination in Ghana

2018

European Journal of Contemporary Education

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“…As we could not measure the probability of success of applicants not admitted to medical school, we employed a feasible model in which the probability of success in the main outcomes among the admitted applicants at each school was assessed optimistically; that is, an algorithm that maximises the estimated accuracy of the selection decision. We used discriminant function analysis (DFA) 18 , 19 to identify the cut‐score for each selection tool that best discriminated between students who achieved or failed to achieve an outcome. DFA predicts the classification of subjects into pre‐defined categories of a dependent variable (outcome) according to one or more continuous or binary independent variables (predictors).…”

Section: Methodsmentioning

confidence: 99%

The efficacy of medical student selection tools in Australia and New Zealand

Shulruf

Bagg

Begun

et al. 2018

Medical Journal of Australia

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The known The predictive power of composite scores based on the weighted means of the results from multiple selection tools is low, explaining less than 15% of variance in student outcomes, regardless of the statistical models, selection tools, and outcomes used.The new Discriminant function analysis yields optimal and meaningful cut-scores for each of the selection tools based on binary outcomes. A non-compensatory selection model or a "sufficient evidence" approach to selection would be useful for some medical schools.The implications These alternative approaches may enhance the efficacy and defensibility of the selection process. They may also minimise the student non-completion rate in medical programs.

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“…While several studies reported no significant association of NCLEX-RN first time success with either gender or age, [3][4][5][6][7][8] other studies reported significant differences in NCLEX-RN success by gender. [9,10] Among admission related variables, Kaddoura, Flint, Van Dyke, Yang, & Chiang [11] tested the influence of previous degree status on NCLEX-RN success and found significant differences in NCLEX-RN success on first attempt between first-degree and second-degree accelerated Bachelor of Nursing Science program students, indicating second de-gree students had higher pass rates compared to first degree students.…”

Section: Introductionmentioning

confidence: 99%

“…In regard to admission variables and grades while in a nursing program, pre-requisite grade point average (GPA), [12,13] and cumulative GPA during a nursing program were found to predict NCLEX-RN success. [6,10,11,[13][14][15][16][17][18][19][20] Course grades were also found to be significant predictor of NCLEX-RN performance. [1,8,12] Failure history from a course (e.g., D or F grades) was also a significant predictor for NCLEX-RN results.…”

Section: Introductionmentioning

confidence: 99%

Predictors and students’ perceptions of NCLEX-RN success in a BS program

Kim¹,

Nikstaitis²,

Park³

et al. 2019

JNEP

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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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The Use of Discriminant Function Analysis to Predict Student Success on the NCLEX-RN

Cited by 48 publications

References 19 publications

Students’ Demographic, Academic Characteristics and Performance in Registered General Nursing Licensing Examination in Ghana

Students’ Demographic, Academic Characteristics and Performance in Registered General Nursing Licensing Examination in Ghana

The efficacy of medical student selection tools in Australia and New Zealand

Predictors and students’ perceptions of NCLEX-RN success in a BS program

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