The Measurement of Association : A Permutation Statistical Approach. 1st ed. 2018

種類:

電子ブック

責任表示:

by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Berry, Kenneth J.
• Johnston, Janis E.
• Mielke, Jr., Paul W.
• SpringerLink (Online service)

ISBN:

9783319989266 [331998926X]    

注記:

1 Introduction -- 2 Permutation Statistical Methods -- 3 Nominal Level Variables, I -- 4 Nominal Level Variables, II -- 5 Ordinal Level Variables, I -- 6 Ordinal Level Variables, II -- 7 Interval-level Variables -- 8 Mixed-level Variables -- 9 Fourfold Contingency Tables, I -- 10 Fourfold Contingency Tables, II -- Epilogue -- References -- Index.
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of sta

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