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Using the 'new' statistics in nursing research

P Ratcliffe1

  • 1Department of Primary Health, University College of S. Martin's, Lancaster, England. P.Ratcliffe@ucsm.ac.uk

Journal of Advanced Nursing
|March 27, 1998
PubMed
Summary

Quantitative methods are underutilized in nursing research due to a lack of awareness of advanced statistical techniques. Exploring probability and survival modeling can enhance quantitative nursing research and bridge the qualitative-quantitative gap.

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Area of Science:

  • Nursing Research
  • Biostatistics
  • Quantitative Methods

Background:

  • Quantitative methods are under-used in nursing research.
  • Nurse researchers may lack awareness of sophisticated data analysis techniques.
  • Simple statistical methods can be inadequate for complex nursing data.

Purpose of the Study:

  • To highlight the underutilization of quantitative methods in nursing research.
  • To introduce advanced statistical techniques like probability and survival modeling.
  • To demonstrate how these methods can bridge the qualitative-quantitative gap.

Main Methods:

  • Discussion of probability and survival modeling techniques.
  • Application of these techniques using the GLIM 4 statistical program.

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  • Focus on suitability for complex nursing research scenarios.

    • Main Results:

    • Advanced quantitative methods can address complex nursing data more effectively.
    • Probability and survival modeling offer sophisticated alternatives to simple statistics.
    • GLIM 4 facilitates the practical application of these complex techniques.

    Conclusions:

    • Nurse researchers should explore and adopt advanced quantitative methods.
    • Sophisticated statistical modeling can improve the rigor and depth of nursing research.
    • Bridging the qualitative-quantitative divide is achievable with appropriate analytical tools.