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审视护理实践博士项目入学所需统计学前提条件的证据:回顾性队列研究。

Examining the Evidence on the Statistics Prerequisite for Admission to Doctor of Nursing Practice Programs: Retrospective Cohort Study.

作者信息

Byon Ha Do, Park Sunbok, Quatrara Beth A, Taggart Jessica, Wheeler Lindsay Buford

机构信息

School of Nursing, University of Virginia, Charlottesville, VA, United States.

Center for Teaching Excellence, University of Virginia, Charlottesville, VA, United States.

出版信息

Asian Pac Isl Nurs J. 2024 Sep 9;8:e57187. doi: 10.2196/57187.

Abstract

BACKGROUND

Doctor of Nursing Practice (DNP) programs in the United States confer the highest practice degree in nursing. The proportion of racial and ethnic minority DNP students, including those of Asian descent, keeps increasing in the United States. Statistics is commonly required for DNP programs. However, there is insufficient evidence regarding the number of years within which statistics should be taken and the minimum grade required for admission to the program.

OBJECTIVE

This study aimed to examine the associations of statistics prerequisite durations and grades for admission with the course performances within the DNP program. We also explored whether a postadmission statistics overview course can prepare students for a DNP statistics course as well as a required statistics prerequisite course.

METHODS

A retrospective cohort study was conducted with a sample of 31 DNP students at a large university in the Mid-Atlantic region. Statistical analysis of data collected over 5 years, between 2018 and 2022, was performed to examine the associations, using Spearman rank correlation analysis and Mann-Whitney U test (U).

RESULTS

The performance of students in a DNP statistics course was not associated with prerequisite duration. There was no significant association between the duration and the DNP statistics course letter grades (ρ=0.12; P=.66), neither with exam 1 (ρ=0.03; P=.91) nor with exam 2 scores (ρ=0.01; P=.97). Prerequisite grades were positively associated with exam 1 grades (ρ=0.59; P=.02), but not exam 2 (ρ=0.35; P=.19) or course grades (ρ=0.40; P=.12). In addition, no difference was found in the performance of students whether meeting the prerequisite requirements or taking a 1-month, self-paced overview course (exam 1: U=159, P=.13; exam 2: U=102, P=.50; course letter grade: U=117, P=.92).

CONCLUSIONS

No evidence was found to support the need for limits on when prerequisites are completed or grade requirements. Opting for a statistics overview course after admission can serve as a viable alternative to the statistics prerequisite, effectively preparing students for advanced quantitative data analysis in a DNP program.

摘要

背景

美国的护理实践博士(DNP)项目授予护理学领域的最高实践学位。在美国,包括亚裔学生在内的少数族裔DNP学生的比例持续上升。统计学是DNP项目的常见要求。然而,关于应在几年内修读统计学以及该项目录取所需的最低成绩,目前证据不足。

目的

本研究旨在探讨统计学先修课程时长和录取成绩与DNP项目内课程表现之间的关联。我们还探讨了入学后的统计学概述课程是否能让学生为DNP统计学课程以及必修的统计学先修课程做好准备。

方法

对大西洋中部地区一所大型大学的31名DNP学生进行回顾性队列研究。对2018年至2022年期间5年收集的数据进行统计分析,采用Spearman等级相关分析和Mann-Whitney U检验(U)来检验这些关联。

结果

学生在DNP统计学课程中的表现与先修课程时长无关。时长与DNP统计学课程字母成绩之间无显著关联(ρ=0.12;P=0.66),与考试1成绩(ρ=0.03;P=

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