Use of the HESI Admission Assessment to Predict Student Success

Murray, Karen; Merriman, Carolyn S.; Adamson, Carolyn

doi:10.1097/01.ncn.0000304781.27070.a7

Cited by 25 publications

(9 citation statements)

References 8 publications

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“…Scores range from 0-100 % on all HA 2 component exams. Reliability coefficients have been reported at .99 for each of the HA 2 exams used in this study (Murray, Merriman, & Adamson, 2008).…”

Section: Methodsmentioning

confidence: 99%

Online Course Engagement Among Undergraduate Nursing Student Veterans

Cipher¹,

Urban²,

Boyd³

et al. 2018

JVS

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As a result of the Post-9/11 Veterans Assistance Act, academic programs aimed at assisting student veterans to become Registered Nurses (RN) are increasing. Accordingly, the number of nursing academic programs being offered online are increasing, yet little is known about online student veterans' behaviors within learning management systems (LMS). This study examined the patterns of LMS use among student veterans who are pursuing a Bachelor of Science in Nursing (BSN) and the association between these behaviors and academic success. A retrospective associational analysis was conducted with data collected from students enrolled in courses in an online BSN program. The multilevel data consisted of 528 students who took one or more of twelve courses. The sample consisted of 23 veterans and 505 non-veteran BSN (non-VBSN) students in 3,793 course enrollments. Veterans were more likely to be male and were less likely to be classified as an in-state resident. Overall, the students engaged in their LMS early and most did not have missing or late assignments. The amount of online time spent in each course and the number of late assignment submissions significantly predicted course grades. No other significant predictors of graduation, discontinuation, or grades emerged. Notwithstanding some demographic differences, veterans appeared to be comparable to their non-VBSN counterparts overall, in terms of both academic performance and online engagement. These results indicate that the time students spend in their online courses can predict program success. The creation of an early-identification process for at-risk students who are not engaging in their LMS might have the potential to enhance educational outcomes even further.

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Section: Methodsmentioning

confidence: 99%

Online Course Engagement Among Undergraduate Nursing Student Veterans

Cipher¹,

Urban²,

Boyd³

et al. 2018

JVS

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“…7 The HESI Admission Assessment taken by new nursing students was found to be almost 90% predictive of course grades in the associate degree program and 50% for bachelor degree-seeking students. 8 Harding 9 found those students who were not successful had a score below 800 on the mid-curricular HESI exam. This, in turn, is a good predictor of at-risk students early in their curricular progression.…”

Section: Introductionmentioning

confidence: 99%

Predictors of performance on the National Board of Chiropractic Examiners Parts I and II*

McCall¹,

Harvey²

2014

Journal of Chiropractic Education

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Objective : The purpose of this study was to examine predictors for success on Parts I and II of the National Board of Chiropractic Examiners (NBCE) written examinations. Methods : Two validity studies were conducted to examine the criterion validity of Logan College assessments for Part I and II NBCE scores. Both studies consisted of a longitudinal design to examine the validity of entrance grade point average (GPA), in-program chiropractic course content GPA, and an institutional practice exam on Parts I and II of the NBCE. Results : Analyses revealed that Part I GPA and practice exam scores combined accounted for 72% of the variance within Part I NBCE scores. Furthermore, every subtest of the Part I NBCE could be reliably predicted by course performance. In the 2nd study, Part I GPA, Part I NBCE score, and Part II GPA accounted for 75% of the variance within Part II NBCE scores. Conclusions : Internal training and educational assessments (eg, course grades and practice exams) proved to be strong determinants of NBCE performance above and beyond initial levels of preparedness, thus validating the impact of the chiropractic curriculum on NBCE test achievement.

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“…Only a few studies have used admissions tests to predict the success of completion of a BSN programme. Murray et al . found that admissions tests scores, such as math, English, basic sciences and comprehensive reading, were positively correlated with the course grades in the nursing programme.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies found that the pre-nursing GPA and prerequisite nursing courses were predictive of successful completion of BSN programmes. 5,7,8 Only a few studies 9 have used admissions tests to predict the success of completion of a BSN programme. Murray et al 9 found that admissions tests scores, such as math, English, basic sciences and comprehensive reading, were positively correlated with the course grades in the nursing programme.…”

Section: Introductionmentioning

confidence: 99%

Predictors for success for first semester, second‐degree Bachelor of Science in Nursing students

Kowitlawakul

Brenkus

Dugan

2013

Int J of Nursing Practice

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Second-degree Bachelor of Science in Nursing (BSN) programmes have grown rapidly in the past 5 years to respond to the nursing shortage in many countries. The purposes of this study are to describe the relationships among age, prerequisite grades, previous degree grade point averages (GPAs), admissions test scores and first semester test scores, and to investigate the most influential predictor for success in the first semester in the nursing program. Pre-existing data from academic records were used. There were 60 participants and SPSS version 15.0 was used to analyze the data. The results show that age has no relationship with the first semester performance. Fifty-four per cent of variance in the first semester GPAs (R(2) =0.54) was explained by previous degree GPAs, prerequisite GPAs and admissions test scores in the second-degree nursing student population. The most influential predictor for success for the first semester of the second-degree BSN program is admissions tests scores.

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Use of the HESI Admission Assessment to Predict Student Success

Cited by 25 publications

References 8 publications

Online Course Engagement Among Undergraduate Nursing Student Veterans

Online Course Engagement Among Undergraduate Nursing Student Veterans

Predictors of performance on the National Board of Chiropractic Examiners Parts I and II*

Predictors for success for first semester, second‐degree Bachelor of Science in Nursing students

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