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Marjorie A. Pett

    Nonparametric Statistics for Health Care Research
    Making Sense of Factor Analysis
    • Nonparametric Statistics for Health Care Research

      Statistics for Small Samples and Unusual Distributions - Second Edition

      • 472 pages
      • 17 hours of reading

      Focusing on nonparametric statistical techniques, this book addresses the challenges faced in health care research when sample sizes are limited or violate parametric assumptions. It provides a comprehensive guide to commonly used nonparametric methods, making it accessible for readers in various fields. The Second Edition emphasizes practical applications, helping users understand the appropriate use of statistics, interpret computer outputs, and effectively present results. Ideal for those aiming to enhance client care and outcomes through research.

      Nonparametric Statistics for Health Care Research2016
    • Making Sense of Factor Analysis

      The Use of Factor Analysis for Instrument Development in Health Care Research

      • 366 pages
      • 13 hours of reading

      Factor analysis is essential for healthcare practitioners and researchers aiming to create more effective data collection tools. However, its complexity poses challenges, even for seasoned researchers, as it is not a straightforward, unidimensional method. The book delves into the intricacies of factor analysis, highlighting its importance in enhancing research sensitivity while addressing the difficulties practitioners face in its application.

      Making Sense of Factor Analysis2003
      4.2