Nonparametric Statistics for Health Care Research

Statistics for Small Samples and Unusual Distributions

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Nonparametric Statistics for Health Care Research by Marjorie (Marg) A. Pett, SAGE Publications
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Author: Marjorie (Marg) A. Pett ISBN: 9781483324524
Publisher: SAGE Publications Publication: June 29, 2015
Imprint: SAGE Publications, Inc Language: English
Author: Marjorie (Marg) A. Pett
ISBN: 9781483324524
Publisher: SAGE Publications
Publication: June 29, 2015
Imprint: SAGE Publications, Inc
Language: English

What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format. 

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What do you do when you realize that the data set from the study that you have just completed violates the sample size or other requirements needed to apply parametric statistics? Nonparametric Statistics for Health Care Research by Marjorie A. Pett was developed for such scenarios—research undertaken with limited funds, often using a small sample size, with the primary objective of improving client care and obtaining better client outcomes. Covering the most commonly used nonparametric statistical techniques available in statistical packages and on open-resource statistical websites, this well-organized and accessible Second Edition helps readers, including those beyond the health sciences field, to understand when to use a particular nonparametric statistic, how to generate and interpret the resulting computer printouts, and how to present the results in table and text format. 

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