Nonparametric statistics : a step-by-step approach / / Gregory W. Corder, Dale I. Foreman

• Record Nr.: UNINA9910464290003321
• Autore: Corder Gregory W. <1972->
• Pubbl/distr/stampa: Hoboken, New Jersey : , : Wiley, , 2014; ©2014
• ISBN: 1-118-84032-1; 1-118-84042-9
• Edizione: [Second edition.]
• Descrizione fisica: 1 online resource (283 p.)
• Classificazione: MAT029000SOC027000PSY032000
• Disciplina: 519.5/4
• Soggetti: Nonparametric statistics; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Title page; Copyright page; Contents; Preface; List of Variables; CHAPTER 1: Nonparametric Statistics: An Introduction; 1.1 Objectives; 1.2 Introduction; 1.3 The Nonparametric Statistical Procedures Presented in this Book; 1.3.1 State the Null and Research Hypotheses; 1.3.2 Set the Level of Risk (or the Level of Significance) Associated with the Null Hypothesis; 1.3.3 Choose the Appropriate Test Statistic; 1.3.4 Compute the Test Statistic; 1.3.5 Determine the Value Needed for Rejection of the Null Hypothesis Using the Appropriate Table of Critical Values for the Particular Statistic; 1.3.6 Compare the Obtained Value with the Critical Value1.3.7 Interpret the Results; 1.3.8 Reporting the Results; 1.4 Ranking Data; 1.5 Ranking Data with Tied Values; 1.6 Counts of Observations; 1.7 Summary; 1.8 Practice Questions; 1.9 Solutions to Practice Questions; CHAPTER 2: Testing Data for Normality; 2.1 Objectives; 2.2 Introduction; 2.3 Describing Data and the Normal Distribution; 2.4 Computing and Testing Kurtosis and Skewness for Sample Normality; 2.4.1 Sample Problem for Examining Kurtosis; 2.4.2 Sample Problem for Examining Skewness; 2.4.3 Examining Skewness and Kurtosis for Normality Using SPSS2.5 Computing the Kolmogorov-Smirnov One-Sample Test; 2.5.1 Sample Kolmogorov-Smirnov One-Sample Test; 2.5.2 Performing the ; Kolmogorov-Smirnov One-Sample Test Using SPSS; 2.6 Summary; 2.7 Practice Questions; 2.8 Solutions to Practice Questions; CHAPTER 3: Comparing Two Related Samples: The Wilcoxon Signed Rank and the Sign Test; 3.1 Objectives; 3.2 Introduction; 3.3 Computing the Wilcoxon Signed Rank Test Statistic; 3.3.1 Sample Wilcoxon Signed Rank Test (Small Data Samples); 3.3.2 Confidence Interval for the Wilcoxon Signed Rank Test3.3.3 Sample Wilcoxon Signed Rank Test (Large Data Samples); 3.4 Computing the Sign Test; 3.4.1 Sample Sign Test (Small Data Samples); 3.4.2 Sample Sign Test (Large Data Samples); 3.5 Performing the Wilcoxon Signed Rank Test and the Sign Test Using SPSS; 3.5.1 Define Your Variables; 3.5.2 Type in Your Values; 3.5.3 Analyze Your Data; 3.5.4 Interpret the Results from the SPSS Output Window; 3.6 Statistical Power; 3.7 Examples from the Literature; 3.8 Summary; 3.9 Practice Questions; 3.10 Solutions to Practice Questions; 4.5.1 Define Your Variables
• Sommario/riassunto: "This Second Edition 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 continues to follow 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, updated SPSS(r) 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. Additional tests including the sign test and the Kolmogorov-Smirnov two sample test have been added in addition to new coverage on statistical power. Data sets and odd-numbered solutions are provided in an appendix, and tables of critical values are also provided for reader reference. The authors have also prepared new supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book. 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"--; "The book continues to follow 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"--