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Secondary analysis: a method for learning research activities.

B A Gooding1

  • 1McGill University School of Nursing, Montreal, Quebec.

The Journal of Nursing Education
|May 1, 1988
PubMed
Summary
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Secondary data analysis offers nursing students valuable research experience. Utilizing archived datasets can advance nursing as a research-based practice by addressing key issues.

Area of Science:

  • Nursing Research
  • Data Science in Healthcare

Background:

  • Growing availability of archived datasets.
  • Increasing recognition of data sharing benefits.
  • Need for practical research experience for nursing students.

Purpose of the Study:

  • To explore secondary analysis as a method for nursing graduate student research training.
  • To highlight the potential of archived data for advancing nursing science.

Main Methods:

  • Secondary data analysis.
  • Utilizing existing archived datasets.
  • Formulating relevant research questions for nursing.

Main Results:

  • Secondary analysis provides efficient and effective research process experience for students.

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  • Archived data offers a valuable resource for nursing research.

    • Conclusions:

    • Secondary data analysis is a viable strategy for nursing education.
    • Leveraging archived data can enhance the development of nursing as a research-based practice.