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Data Analysis with Small Samples and Non-Normal Data Nonparametrics and Other Strategies 2017 Edition at Meripustak

Data Analysis with Small Samples and Non-Normal Data Nonparametrics and Other Strategies 2017 Edition by Carl F. Siebert, Darcy Clay Siebert , Oxford

Books from same Author: Carl F. Siebert, Darcy Clay Siebert

Books from same Publisher: Oxford

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  • General Information  
    Author(s)Carl F. Siebert, Darcy Clay Siebert
    PublisherOxford
    ISBN9780199391493
    Pages240
    BindingPaperback
    LanguageEnglish
    Publish YearOctober 2017

    Description

    Oxford Data Analysis with Small Samples and Non-Normal Data Nonparametrics and Other Strategies 2017 Edition by Carl F. Siebert, Darcy Clay Siebert

    In social sciences, education, and public health research, researchers often conduct small pilot studies (or may have planned for a larger sample but lost too many cases due to attrition or missingness), leaving them with a smaller sample than they expected and thus less power for their statistical analyses. Similarly, researchers may find that their data are not normally distributed - especially in clinical samples - or that the data may not meet other assumptionsrequired for parametric analyses. In these situations, nonparametric analytic strategies can be especially useful, though they are likely unfamiliar. A clearly written reference book, Data Analysis with Small Samples and Non-Normal Data offers step-by-step instructions for each analytic technique inthese situations. Researchers can easily find what they need, matching their situation to the case-based scenarios that illustrate the many uses of nonparametric strategies. Unlike most statistics books, this text is written in straightforward language (thereby making it accessible for nonstatisticians) while providing useful information for those already familiar with nonparametric tests. Screenshots of the software and output allow readers to follow along with each step of an analysis.Assumptions for each of the tests, typical situations in which to use each test, and descriptions of how to explain the findings in both statistical and everyday language are all included for each nonparametric strategy. Additionally, a useful companion website provides SPSS syntax for each test, alongwith the data set used for the scenarios in the book. Researchers can use the data set, following the steps in the book, to practice each technique before using it with their own data. Ultimately, the many helpful features of this book make it an ideal long-term reference for researchers to keep in their personal libraries.



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