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Nonparametric Statistics for Non-Statisticians A Step-by-Step Approach

ISBN-10: 047045461X

ISBN-13: 9780470454619

Edition: 2009

Authors: Gregory W. Corder, Dale I. Foreman, Corder

List price: $139.95
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Description:

This book presents nonparametric statistical procedures in a clear manner and was specifically written for readers with a background in the social, behavioral, and health sciences. The book follows the same format in all chapters to aid in reader comprehension, and each chapter begins with a general introduction and a list of the chapter's main learning objectives. A nonparametric procedure is then presented and is followed by context-based examples in a step-by-step fashion. Next, SPSS screen captures are used to demonstrate how to perform and how to identify the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Data sets and solutions are provided in an appendix, and tables of critical values are also provided for reader reference. Chapter coverage includes: Nonparametric Statistics: An Introduction; Testing Your Data for Normality; Comparing Two Related Samples: The Wilcoxon Signed Rank Test; Comparing Two Unrelated Samples: The Mann-Whitney U Test; Comparing More Than Two Related Samples: Friedman's Test; Comparing More Than Two Unrelated Samples: Kruskal-Wallis H Test; Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations; Tests for Nominal Scale Data: Chi-Square Tests; and Test for Randomness: Runs Test.
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Book details

List price: $139.95
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 5/6/2009
Binding: Hardcover
Pages: 264
Size: 6.25" wide x 9.50" long x 0.50" tall
Weight: 1.034

The Kolmogorov-Smirnov One-Sample Test
Sample Kolmogorov-Smirnov One-Sample Test
Performing the Kolmogorov-Smirnov One-Sample Test Using SPSS
Summary
Practice Questions
Solutions to Practice Questions
Comparing Two Related Samples: The Wilcoxon Signed Ranks Test
Objectives
Introduction
Computing the Wilcoxon Signed Ranks Test Statistic
Sample Wilcoxon Signed Ranks Test (Small Data Samples)
Performing the Wilcoxon Signed Ranks Test Using SPSS
Confidence Interval for the Wilcoxon Signed Ranks Test
Sample Wilcoxon Signed Ranks Test (Large Data Samples)
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Comparing Two Unrelated Samples: The Mann-Whitney U-Test
Objectives
Introduction
Computing the Mann-Whitney U-Test Statistic
Sample Mann-Whitney U-Test (Small Data Samples)
Performing the Mann-Whitney U-Test Using SPSS
Confidence Interval for the Difference Between Two Location Parameters
Sample Mann-Whitney U-Test (Large Data Samples)
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Comparing More Than Two Related Samples: The Friedman Test
Objectives
Introduction
Computing the Friedman Test Statistic
Sample Friedman Test (Small Data Samples Without Ties)
Sample Friedman Test (Small Data Samples with Ties)
Performing the Friedman Test Using SPSS
Sample Friedman Test (Large Data Samples Without Ties)
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Comparing More than Two Unrelated Samples: The Kruskal-Wallis H-Test
Objectives
Introduction
Computing the Kruskal-Wallis H-Test Statistic
Sample Kruskal-Wallis H-Test (Small Data Samples)
Performing the Kruskal-Wallis H-Test Using SPSS
Sample Kruskal-Wallis H-Test (Large Data Samples)
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations
Objectives
Introduction
The Correlation Coefficient
Computing the Spearman Rank-Order Correlation Coefficient
Sample Spearman Rank-Order Correlation (Small Data Samples Without Ties)
Sample Spearman Rank-Order Correlation (Small Data Samples with Ties)
Performing the Spearman Rank-Order Correlation Using SPSS
Computing the Point-Biserial and Biserial Correlation Coefficients
Correlation of a Dichotomous Variable and an Interval Scale Variable
Correlation of a Dichotomous Variable and a Rank-Order Variable
Sample Point-Biserial Correlation (Small Data Samples)
Performing the Point-Biserial Correlation Using SPSS
Sample Point-Biserial Correlation (Large Data Samples)
Sample Biserial Correlation (Small Data Samples)
Performing the Biserial Correlation Using SPSS
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Tests for Nominal Scale Data: Chi-Square and Fisher Exact Test
Objectives
Introduction
The Chi-Square Goodness-of-Fit Test
Computing the Chi-Square Goodness-of-Fit Test Statistic
Sample Chi-Square Goodness-of-Fit Test (Category Frequencies Equal)
Sample Chi-Square Goodness-of-Fit Test (Category Frequencies Not Equal)
Performing the Chi-Square Goodness-of-Fit Test Using SPSS
The Chi-Square Test for Independence
Computing the Chi-Square Test for Independence
Sample Chi-Square Test for Independence
Performing the Chi-Square Test for Independence Using SPSS
The Fisher Exact Test
Computing the Fisher Exact Test for 2 x 2 Tables
Sample Fisher Exact Test
Performing the Fisher Exact Test Using SPSS
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
Test For Randomness: The Runs Test
Objectives
Introduction
The Runs Test for Randomness
Sample Runs Test (Small Data Samples)
Performing the Runs Test Using SPSS
Sample Runs Test (Large Data Samples)
Sample Runs Test Referencing a Custom Value
Performing the Runs Test for a Custom Value Using SPSS
Examples from the Literature
Summary
Practice Questions
Solutions to Practice Questions
SPSS at a Glance
Introduction
Opening SPSS
Inputting Data
Analyzing Data
The SPSS Output
Bibliography
Index