LEADER 06392nam 2200685 450 001 9910464290003321 005 20200520144314.0 010 $a1-118-84032-1 010 $a1-118-84042-9 035 $a(CKB)3360000000479640 035 $a(EBL)1676115 035 $a(OCoLC)862222362 035 $a(SSID)ssj0001225015 035 $a(PQKBManifestationID)11802799 035 $a(PQKBTitleCode)TC0001225015 035 $a(PQKBWorkID)11264284 035 $a(PQKB)10985905 035 $a(MiAaPQ)EBC1676115 035 $a(DLC) 2013044446 035 $a(JP-MeL)3000065411 035 $a(Au-PeEL)EBL1676115 035 $a(CaPaEBR)ebr10885010 035 $a(CaONFJC)MIL620518 035 $a(EXLCZ)993360000000479640 100 $a20140702h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNonparametric statistics $ea step-by-step approach /$fGregory W. Corder, Dale I. Foreman 205 $aSecond edition. 210 1$aHoboken, New Jersey :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (283 p.) 300 $aDescription based upon print version of record. 311 $a1-306-89267-8 311 $a1-118-84031-3 320 $aIncludes bibliographical references and index. 327 $aCover; 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 327 $a1.3.6 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 327 $a2.4.3 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) 327 $a3.3.2 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 327 $a4.5.1 Define Your Variables 330 $a"This Second Edition presents nonparametric statistical procedures in a clear manner and was specifically written for readers with a background in the social, behavioral, and health sciences. The book continues to follow the same format in all chapters to aid in reader comprehension, and each chapter begins with a general introduction and a list of the chapter's main learning objectives. A nonparametric procedure is then presented and is followed by context-based examples in a step-by-step fashion. Next, updated SPSS(r) screen captures are used to demonstrate how to perform and how to identify the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Additional tests including the sign test and the Kolmogorov-Smirnov two sample test have been added in addition to new coverage on statistical power. Data sets and odd-numbered solutions are provided in an appendix, and tables of critical values are also provided for reader reference. The authors have also prepared new supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book. Chapter coverage includes: Nonparametric Statistics: An Introduction; Testing Your Data for Normality; Comparing Two Related Samples: The Wilcoxon Signed Rank Test; Comparing Two Unrelated Samples: The Mann-Whitney U Test; Comparing More Than Two Related Samples: Friedman's Test; Comparing More Than Two Unrelated Samples: Kruskal-Wallis H Test; Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations; Tests for Nominal Scale Data: Chi-Square Tests; and Test for Randomness: Runs Test"--$cProvided by publisher. 330 $a"The book continues to follow the same format in all chapters to aid in reader comprehension, and each chapter begins with a general introduction and a list of the chapter's main learning objectives"--$cProvided by publisher. 606 $aNonparametric statistics 608 $aElectronic books. 615 0$aNonparametric statistics. 676 $a519.5/4 686 $aMAT029000$aSOC027000$aPSY032000$2bisacsh 700 $aCorder$b Gregory W.$f1972-$0855867 702 $aForeman$b Dale I. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464290003321 996 $aNonparametric statistics$92050254 997 $aUNINA