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Secondary analysis: theoretical, methodological, and practical considerations.

S P Clarke1, S Cossette

  • 1Center for Health Outcomes and Policy Research, University of Pennsylvania School of Nursing, Philadelphia, USA. sclarke@nursing.upenn.edu

The Canadian Journal of Nursing Research = Revue Canadienne De Recherche En Sciences Infirmieres
|April 4, 2002
PubMed
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Secondary analysis uses existing data for new research questions. Awareness of methodological challenges in sampling, measurement, and validity is crucial for successful secondary data analysis.

Area of Science:

  • Methodology
  • Research Methods
  • Data Analysis

Background:

  • Secondary analysis, utilizing existing datasets, is a cost-effective research approach.
  • Researchers often face challenges when undertaking secondary analyses without prior awareness.
  • Primary data collection can be resource-intensive, driving the adoption of secondary analysis.

Purpose of the Study:

  • To highlight the methodological and practical challenges of secondary analysis.
  • To provide practical suggestions for conducting secondary analyses.
  • To establish criteria for evaluating the quality of secondary analyses.

Main Methods:

  • This article reviews common difficulties encountered in secondary data analysis.
  • It focuses on theoretical, sampling, measurement, and validity issues.

Related Experiment Videos

  • Practical guidance and evaluation criteria are discussed.

    • Main Results:

    • Secondary analysis presents unique challenges in sampling, measurement, and validity.
    • Lack of awareness regarding these challenges can lead to frustration and time loss.
    • Theoretical considerations are also important in secondary data utilization.

    Conclusions:

    • Researchers must be aware of the specific challenges inherent in secondary analysis.
    • Careful planning and adherence to evaluation criteria are essential for robust secondary research.
    • Effective secondary analysis requires understanding its methodological complexities.