Campbell A R, Dickson C J
University of Alabama School of Nursing, University of Alabama at Birmingham 35294-1210, USA.
J Prof Nurs. 1996 Jan-Feb;12(1):47-59. doi: 10.1016/s8755-7223(96)80074-3.
This article describes research funded by a Dean's New Investigator Award conducted to describe and evaluate nursing education research on predictors of retention, graduation, and National Council Licensure Examination success of baccalaureate-degree nursing students through an integrative review and meta-analysis of nursing research. The sample (n = 47) for the integrative review included all nursing research conducted within the years 1981 to 1990 related to predicting student success that had at least one nurse author and was published in US nursing journals or dissertations from a US university. Four studies from the corpus were appropriate to be treated meta-analytically. Ninety-four per cent of the studies were descriptive, used convenience samples, and most often identified quantitative measures, including American College Test, Scholastic Aptitude Test, and grade point average as predictor variables. Findings of the integrative review showed grade point averages in nursing and science courses as the greatest cognitive predictors of student success and parental education and age as the greatest demographic predictors. The meta-analysis portion of the study showed significant effectiveness of interventions used in the experimental studies. The Fail-Safe N (NFS) was used to assess the comprehensiveness and exhaustiveness of the literature searches. The NFS = 162 studies indicated that it would require 162 studies to overturn the conclusions.
本文介绍了一项由院长新研究员奖资助的研究,该研究旨在通过对护理研究的综合综述和荟萃分析,描述和评估护理教育研究中关于本科护理专业学生留级、毕业及通过国家委员会执照考试的预测因素。综合综述的样本(n = 47)包括1981年至1990年间进行的所有与预测学生成功相关的护理研究,这些研究至少有一位护士作者,且发表在美国护理期刊或美国大学的论文中。语料库中的四项研究适合进行荟萃分析。94%的研究为描述性研究,采用便利样本,且最常确定的定量测量指标包括美国大学考试、学术能力倾向测验和平均绩点作为预测变量。综合综述的结果表明,护理和科学课程的平均绩点是学生成功的最大认知预测因素,而父母教育程度和年龄是最大的人口统计学预测因素。该研究的荟萃分析部分表明,实验研究中使用的干预措施具有显著效果。失效安全数(NFS)用于评估文献检索的全面性和详尽性。NFS = 162项研究表明,需要162项研究才能推翻这些结论。