東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Admission predictors of success on t...

Marshall, Denise D.

Linked to FindBook

Google Book

Amazon

博客來

Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college./
Author:	Marshall, Denise D.
Description:	74 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-01, Section: B, page: 0182.
Contained By:	Dissertation Abstracts International67-01B.
Subject:	Health Sciences, Nursing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199841
ISBN:	9780542465666

Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college.
Marshall, Denise D.

Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college. - 74 p.

Source: Dissertation Abstracts International, Volume: 67-01, Section: B, page: 0182.

Thesis (Ed.D.)--Wilmington College (Delaware), 2006.

This ex-post facto study was conducted to determine if the American College Test (ACT) entry option is a better predictor of success on the National Council Licensure Examination for Registered Nurses (NCLEX-RN) than the grade point average (GPA based on the five college-level general education courses) entry option. In addition, the study was conducted to determine if the success or failure of vulnerable students can be identified prior to admission to the nursing program.

ISBN: 9780542465666Subjects--Topical Terms:

1017798
Health Sciences, Nursing.

Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college.
LDR:01995nmm 2200301 4500 001 1825082
005 20061201092001.5
008 130610s2006 eng d
020 $a 9780542465666
035 $a (UnM)AAI3199841
035 $a AAI3199841
040 $a UnM $c UnM
100 1 $a Marshall, Denise D. $3 1914106
245 1 0 $a Admission predictors of success on the computerized adaptive NCLEX-RN among associate degree nursing students at a Maryland rural community college.
300 $a 74 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-01, Section: B, page: 0182.
500 $a Chair: Lynne L. Svenning.
502 $a Thesis (Ed.D.)--Wilmington College (Delaware), 2006.
520 $a This ex-post facto study was conducted to determine if the American College Test (ACT) entry option is a better predictor of success on the National Council Licensure Examination for Registered Nurses (NCLEX-RN) than the grade point average (GPA based on the five college-level general education courses) entry option. In addition, the study was conducted to determine if the success or failure of vulnerable students can be identified prior to admission to the nursing program.
520 $a Three hundred and fourteen graduates from an associate degree nursing program in a rural Maryland community college participated in the study. Discriminant analysis was used to analyze the descriptive data. Grade point averages based on the five college-level general education courses were the best predictors of success on the NCLEX-RN. The findings in the study also indicate that nursing students who are deemed vulnerable are no more likely to fail the NCLEX-RN than students who are deemed non-vulnerable.
590 $a School code: 1215.
650 4 $a Health Sciences, Nursing. $3 1017798
650 4 $a Education, Community College. $3 1018008
650 4 $a Health Sciences, Education. $3 1017921
690 $a 0569
690 $a 0275
690 $a 0350
710 2 0 $a Wilmington College (Delaware). $3 1021995
773 0 $t Dissertation Abstracts International $g 67-01B.
790 1 0 $a Svenning, Lynne L., $e advisor
790 $a 1215
791 $a Ed.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3199841