Building Capacity for Statistical Rigor in a College of Nursing.

IF 2.5 4区 医学 Q1 NURSING
Ruofei Du, Matthew J Hayat, Jing Jin, Nikolas Berardi, Hannah Aston, Judith L Weber
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引用次数: 0

Abstract

Background: Nursing research faces persistent challenges in selecting and implementing methodological approaches that adequately address the complexity of research questions in nursing science, underscoring the need for structured biostatistical collaboration to enhance rigor and reproducibility.

Objective: This article describes a collaboration model designed to build biostatistical capacity within a College of Nursing.

Methods: Developed under the leadership of the Associate Dean for Research, the model incorporates coordinated access to external biostatistical expertise alongside an integrated research management team. The committee's structure, operational systems, and core activities were described on how they effectively support and sustain collaboration across the research lifecycle.

Results: Outcomes from the first five years of experience were summarized, including grant activity and scholarly productivity. In addition, survey feedback collected from faculty and PhD students indicated strong engagement at various of research stages and high perceived value of the biostatistical resource.

Discussion: The collaboration model offers a feasible, mission-aligned alternative to centralized university cores, or biostatistics cores housed within a college of nursing, commonly found in many U.S institutions. By combining strategic leadership with coordinated external expertise and operational infrastructure, the model strengthens statistical rigor while remaining adaptable to the needs of a college of nursing. Key areas for future development include expanding funding support for educational efforts, strengthening research culture, and exploring the committee's role in supporting practice and education scholarship.

护理学院统计严谨性能力建设。
背景:护理研究在选择和实施方法方法以充分解决护理科学研究问题的复杂性方面面临着持续的挑战,强调了结构化生物统计学合作以提高严谨性和可重复性的必要性。目的:本文描述了一种旨在建立护理学院生物统计能力的合作模式。方法:该模型在研究副院长的领导下开发,结合了外部生物统计学专业知识的协调访问以及综合研究管理团队。委员会的结构、操作系统和核心活动描述了它们如何有效地支持和维持整个研究生命周期的合作。结果:总结了前五年经验的结果,包括拨款活动和学术生产力。此外,从教师和博士生那里收集的调查反馈表明,在各个研究阶段都有很强的参与度,生物统计资源的感知价值很高。讨论:协作模式提供了一个可行的、任务一致的替代方案,以集中的大学核心,或生物统计核心安置在护理学院,通常在许多美国机构中发现。通过将战略领导与协调的外部专业知识和操作基础设施相结合,该模型加强了统计严谨性,同时保持了对护理学院需求的适应性。未来发展的重点领域包括扩大对教育工作的资助,加强研究文化,以及探索委员会在支持实践和教育奖学金方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nursing Research
Nursing Research 医学-护理
CiteScore
3.60
自引率
4.00%
发文量
102
审稿时长
6-12 weeks
期刊介绍: Nursing Research is a peer-reviewed journal celebrating over 60 years as the most sought-after nursing resource; it offers more depth, more detail, and more of what today''s nurses demand. Nursing Research covers key issues, including health promotion, human responses to illness, acute care nursing research, symptom management, cost-effectiveness, vulnerable populations, health services, and community-based nursing studies. Each issue highlights the latest research techniques, quantitative and qualitative studies, and new state-of-the-art methodological strategies, including information not yet found in textbooks. Expert commentaries and briefs are also included. In addition to 6 issues per year, Nursing Research from time to time publishes supplemental content not found anywhere else.
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