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Issues in data analysis.

Denis Anthony1

  • 1School of Healthcare, University of Leeds.

Nurse Researcher
|May 16, 2015
PubMed
Summary
This summary is machine-generated.

This commentary reviews two methodology papers for early nurse researchers. It clarifies a complex quantitative data analysis paper on multiple imputation for missing data, making it more accessible.

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Area of Science:

  • Nursing Research Methodology
  • Quantitative Data Analysis
  • Qualitative Research

Background:

  • NURSE RESEARCHER publishes methodology papers to guide early-career researchers.
  • The commentary focuses on two specific papers from 2015: one on qualitative case study analysis and another on multiple imputation for missing data.
  • The author notes that the qualitative paper is accessible, while the quantitative paper presents a complex topic.

Purpose of the Study:

  • To provide context and enhance understanding of a complex quantitative data analysis paper.
  • To make the methodology of multiple imputation for handling missing data more accessible to novice researchers.
  • To supplement existing guidance for early researchers in quantitative analysis.

Main Methods:

  • Commentary and contextualization of existing research papers.
  • Explanation of multiple imputation techniques for missing data.
  • Discussion of qualitative case study data analysis.

Main Results:

  • The qualitative case study analysis paper (Houghton et al, 2015) is deemed easily understandable for novice researchers.
  • The multiple imputation paper (Walani and Cleland, 2015) addresses a complex quantitative data analysis issue.
  • The commentary aims to simplify the understanding of the multiple imputation paper for a wider audience.

Conclusions:

  • Novice researchers may find the qualitative paper straightforward.
  • The multiple imputation paper, while valuable, requires further explanation for accessibility.
  • This commentary serves as a supplementary guide to complex quantitative methods in nursing research.