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Using Microsoft Excel to teach statistics in a graduate advanced practice nursing program.

Rose Ann DiMaria-Ghalili1, C Lynne Ostrow

  • 1Department of Health Restoration, School of Nursing, West Virginia University, Morgantown, West Virginia, USA. rosedim@nursing.upenn.edu

The Journal of Nursing Education
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Summary
This summary is machine-generated.

Microsoft Excel offers accessible, transferable, and cost-effective methods for teaching graduate statistics in nursing programs. Faculty can leverage online resources and specific courses to effectively integrate Excel into their curriculum.

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Area of Science:

  • Nursing Education
  • Statistical Pedagogy
  • Educational Technology

Background:

  • Graduate nursing programs require a statistics component for research core competency.
  • Traditional specialized statistical software presents accessibility and cost barriers for students.
  • There is a need for practical, widely available tools to teach statistical concepts.

Purpose of the Study:

  • To evaluate the efficacy of using Microsoft Excel for teaching graduate-level statistics in nursing.
  • To identify the advantages of Excel over specialized statistical software in an academic setting.
  • To provide insights and resources for faculty integrating Excel into statistics courses.

Main Methods:

  • A 3-year experiential analysis of teaching graduate statistics using Microsoft Excel.
  • Incorporation of an online course from Carnegie-Mellon University's Open Learning Initiative.
  • Discussion of accessible online resources for faculty and students.

Main Results:

  • Microsoft Excel provides significant advantages in accessibility, skill transferability, and cost-effectiveness.
  • Realistic goals for master's-level statistics education can be achieved with Excel.
  • Numerous online resources support faculty and student learning of Excel for statistics.

Conclusions:

  • Microsoft Excel is a viable and beneficial tool for teaching graduate statistics in nursing education.
  • Faculty can effectively utilize Excel and supplementary online resources to enhance statistical training.
  • The use of accessible technology like Excel can improve student learning outcomes and reduce educational costs.