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

## Edition: 2009

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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
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: 1.320
Language: English

 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
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