2.50
Hdl Handle:
http://hdl.handle.net/10755/149602
Type:
Presentation
Title:
Predicting NCLEX-RN Success: Do Results Hold Up?
Abstract:
Predicting NCLEX-RN Success: Do Results Hold Up?
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Stuenkel, Diane, EdD, RN
P.I. Institution Name:San Jose State University
Title:Associate Professor
[Clinical session research presentation] Background/Purpose: This study was undertaken to determine if the initial results indicating that the national League for Nursing Community examination was the best predictor for NCLEX-RN success for our diverse student could be replicated.  Data:  NCLEX-RN Pass and Fail data and scores on standardized achievement exams (National League for Nursing (NLN) Pretest, NLN Adult Health, NLN Maternal-Child Health, NLN Community Health, HESI Mental Health Examination) were obtained from archived reports.  Sample:  Sample sizes for the various analyses ranged from 98 to 179 (N=190).  Analysis:  Discriminant analyses were conducted.  The NLN pretest correctly identified 10 (63%) of the graduates in the Fail category and was statistically significant; cannonical r = .29, Wilks' lambda = .91, p = .00 (n=100).  The single best predictor was the NLN Maternal-Child examination.  Scores obtained on this examination accurately categorized 73% of the sample (n = 179) and correctly identified 28 (72%) of graduates in the Fail category (canonical r = .46; Wilks' lambda = .79, p = .00).  Predictive ability improved to 77% overall (n = 77) when all standardized examination scores were entered into the discriminant function.  Eighty five percent of the Fail group were identified correctly with this analysis (canonical r = .53, Wilks' lambda = .72, p = .00).  Limitations:  This study is limited by the small sample size. Discussion/Conclusions:  Unlike the previous study, the NLN Maternal-Child examination scores was the best predictor of student success on the NCLEX-RN for this sample.  Identifying students at risk at this point in the curriculum would allow students two additional semesters to develop a remediation plan and to seek additional assistance in preparing for the NCLEX-RN.  Faculty are encouraged to conduct a systematic assessment of the predictive ability of standardized examinations used in their own programs to determine the predictive usefulness for their unique students.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePredicting NCLEX-RN Success: Do Results Hold Up?en_GB
dc.identifier.urihttp://hdl.handle.net/10755/149602-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Predicting NCLEX-RN Success: Do Results Hold Up?</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Stuenkel, Diane, EdD, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">San Jose State University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">stuenkel@email.sjsu.edu</td></tr><tr><td colspan="2" class="item-abstract">[Clinical session research presentation] Background/Purpose:&nbsp;This study was undertaken to determine if the initial results indicating that the national League for Nursing Community examination was the best predictor for NCLEX-RN success for our diverse student could be replicated.&nbsp; Data:&nbsp; NCLEX-RN Pass and Fail data and scores on standardized achievement exams (National League for Nursing (NLN) Pretest, NLN Adult Health, NLN Maternal-Child Health, NLN Community Health, HESI Mental Health Examination) were obtained from archived reports.&nbsp; Sample:&nbsp; Sample sizes for the various analyses ranged from 98 to 179 (N=190).&nbsp; Analysis:&nbsp; Discriminant analyses were conducted.&nbsp; The NLN pretest correctly identified 10 (63%) of the graduates in the Fail category and was statistically significant; cannonical r = .29, Wilks' lambda = .91, p = .00 (n=100).&nbsp; The single best predictor was the NLN Maternal-Child examination.&nbsp; Scores obtained on this examination accurately categorized 73% of the sample (n = 179) and correctly identified 28 (72%) of graduates in the Fail category (canonical r = .46; Wilks' lambda = .79, p = .00).&nbsp; Predictive ability improved to 77% overall (n = 77) when all standardized examination scores were entered into the discriminant function.&nbsp; Eighty five percent of the Fail group were identified correctly with this analysis (canonical r = .53, Wilks' lambda = .72, p = .00).&nbsp; Limitations:&nbsp; This study is limited by the small sample size.&nbsp;Discussion/Conclusions:&nbsp; Unlike the previous study, the NLN Maternal-Child examination scores was the best predictor of student success on the NCLEX-RN for this sample.&nbsp; Identifying students at risk at this point in the curriculum would allow students two additional semesters to develop a remediation plan and to seek additional assistance in preparing for the NCLEX-RN.&nbsp; Faculty are encouraged to conduct a systematic assessment of the predictive ability of standardized examinations used in their own programs to determine the predictive usefulness for their unique students.</td></tr></table>en_GB
dc.date.available2011-10-26T10:05:42Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T10:05:42Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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