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Marjorie A. Pett

    Nonparametric Statistics for Health Care Research
    Making Sense of Factor Analysis
    Trouble Down Mexico Way
    Waterfowling on the Chesapeake, 1819-1936
    • Trouble Down Mexico Way

      • 290bladzijden
      • 11 uur lezen
      4,3(16)Tarief

      When Blanche “Bang” Murninghan visits an exhibit of ancient Mayan ruins in Mexico City, she sees that all is not ancient. One of the mummies has a pink hair clip embedded in its hay-like do, and the texture of the skin is not quite right. Blanche, a part-time journalist, starts to dig for some answers and gets tangled in the mystery of the mummy at the Palacio Nacional. Her cousin and traveling companion, Haasi Hakla, aids and abets—and puts the reins on Blanche. All the while, the two eat and drink their way across the city, following one hunch after another with a cast of colorful characters that include a prescient elderly chilanga , an amiable overworked detective, and a stunning doctor of shady deeds. The cousins are willing to risk kidnapping and attempted murder to get at the truth—but first, Blanche stops for another excellent beer and Haasi delights in one more taco al pastor .

      Trouble Down Mexico Way
    • Making Sense of Factor Analysis

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

      • 366bladzijden
      • 13 uur lezen
      4,2(24)Tarief

      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 Analysis
    • Nonparametric Statistics for Health Care Research

      Statistics for Small Samples and Unusual Distributions

      • 472bladzijden
      • 17 uur lezen

      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 Research