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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010063755 | QA276.25 S54 2004 | Open Access Book | Book | Searching... |
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Summary
Summary
Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of new material.
The Third Edition provides unparalleled, up-to-date coverage of over 130 parametric and nonparametric statistical procedures as well as many practical and theoretical issues relevant to statistical analysis. If you need to...
Decide what method of analysis to use
Use a particular test for the first time
Distinguish acceptable from unacceptable research
Interpret and better understand the results of pubished studies
...the Handbook of Parametric and Nonparametric Statistical Procedures will help you get the job done.
Author Notes
David J. Sheskin is Professor of Psychology at Western Connecticut State University, USA
Reviews 1
Choice Review
In the preface Sheskin states that his intent was to provide a comprehensive reference book in parametric and nonparametric statistics. It was to be applications oriented and be accessible to readers with limited knowledge of statistics. The book's 26 units each treat a different procedure or test, all organized in a uniform format. Sections in each unit include a formal statement of the hypothesis being tested; an example; a clear statement of the null hypothesis; an example of test computations; interpretation of the results of the calculations; some additional, related analytical procedures and discussion; and a conclusion with some additional examples. The selection of procedures and examples is heavily biased toward social science applications. All examples use artificial data. Unfortunately, this very ambitious work is marred by errors, e.g., the statement that the sample standard error can be used to give an unbiased estimate of the population standard error. Also, in some cases procedures are advocated without adequate warning to the user that certain distributional assumptions are crucial. Adding more references to the peer reviewed literature would have made the material much more useful. F. Giesbrecht; North Carolina State University
Table of Contents
| Introduction | p. 1 |
| Descriptive versus inferential statistics | p. 1 |
| Statistic versus parameter | p. 2 |
| Levels of measurement | p. 2 |
| Continuous versus discrete variables | p. 4 |
| Measures of central tendency (mode, median, mean, geometric mean, and the harmonic mean) | p. 4 |
| Measures of variability (range; quantiles, percentiles, deciles, and quartiles; variance and standard deviation; the coefficient of variation) | p. 9 |
| Measures of skewness and kurtosis | p. 15 |
| Visual methods for displaying data (tables and graphs, exploratory data analysis (stem-and-leaf displays and boxplots)) | p. 27 |
| The normal distribution | p. 42 |
| Hypothesis testing | p. 53 |
| A history and critique of the classical hypothesis testing model | p. 60 |
| Estimation in inferential statistics | p. 65 |
| Relevant concepts, issues, and terminology in conducting research (the case study method; the experimental method; the correlational method) | p. 66 |
| Experimental design (pre-experimental designs; quasi-experimental designs true experimental designs; single-subject designs) | p. 73 |
| Sampling methodologies | p. 87 |
| Basic principles of probability | p. 88 |
| Parametric versus nonparametric inferential statistical tests | p. 97 |
| Selection of the appropriate statistical procedure | p. 98 |
| Outline of Inferential Statistical Tests and Measures of Correlation/Association | p. 107 |
| Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure | p. 113 |
| Inferential Statistical Tests Employed with a Single Sample | p. 119 |
| Test 1 The Single-Sample z Test | p. 121 |
| Test 2 The Single-Sample t Test | p. 135 |
| Test 3 The Single-Sample Chi-Square Test for a Population Variance | p. 161 |
| Test 4 The Single-Sample Test for Evaluating Population Skewness | p. 173 |
| Test 5 The Single-Sample Test for Evaluating Population Kurtosis | p. 181 |
| Test 6 The Wilcoxon Signed-Ranks Test | p. 189 |
| Test 7 The Kolmogorov-Smirnov Goodness-of-Fit Test for a Single Sample | p. 203 |
| Test 8 The Chi-Square Goodness-of-Fit Test | p. 219 |
| Test 9 The Binomial Sign Test for a Single Sample | p. 245 |
| Test 10 The Single-Sample Runs Test (and Other Tests of Randomness) | p. 337 |
| Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation) | p. 373 |
| Test 11 The t Test for Two Independent Samples | p. 375 |
| Test 12 The Mann-Whitney U Test | p. 423 |
| Test 13 The Kolmogorov-Smirnov Test for Two Independent Samples | p. 453 |
| Test 14 The Siegel-Tukey Test for Equal Variability | p. 465 |
| Test 15 The Moses Test for Equal Variability | p. 479 |
| Test 16 The Chi-Square Test for r x c Tables (Test 16a: The Chi-Square Test for Homogeneity; Test 16b: The Chi-Square Test of Independence (employed with a single sample)) | p. 493 |
| Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation) | p. 573 |
| Test 17 The t Test for Two Dependent Samples | p. 575 |
| Test 18 The Wilcoxon Matched-Pairs Signed-Ranks Test | p. 609 |
| Test 19 The Binomial Sign Test for Two Dependent Samples | p. 621 |
| Test 20 The McNemar Test | p. 633 |
| Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation) | p. 665 |
| Test 21 The Single-Factor Between-Subjects Analysis of Variance | p. 667 |
| Test 22 The Kruskal--Wallis One-Way Analysis of Variance by Ranks | p. 757 |
| Test 23 The Van der Waerden Normal-Scores Test for k Independent Samples | p. 781 |
| Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation) | p. 795 |
| Test 24 The Single-Factor Within-Subjects Analysis of Variance | p. 797 |
| Test 25 The Friedman Two-Way Analysis of Variance by Ranks | p. 845 |
| Test 26 The Cochran Q Test | p. 867 |
| Inferential Statistical Test Employed with Factorial Design (and Related Measures of Association/Correlation) | p. 885 |
| Test 27 The Between-Subjects Factorial Analysis of Variance | p. 887 |
| Measures of Association/Correlation | p. 943 |
| Test 28 The Pearson Product-Moment Correlation Coefficient | p. 945 |
| Test 29 Spearman's Rank-Order Correlation Coefficient | p. 1061 |
| Test 30 Kendall's Tau | p. 1079 |
| Test 31 Kendall's Coefficient of Concordance | p. 1093 |
| Test 32 Goodman and Kruskal's Gamma | p. 1109 |
| Appendix Tables | p. 1123 |
| Table A1. Table of the Normal Distribution | p. 1127 |
| Table A2. Table of Student's t Distribution | p. 1132 |
| Table A3. Power Curves for Student's t Distribution | p. 1133 |
| Table A4. Table of the Chi-Square Distribution | p. 1137 |
| Table A5. Table of Critical T Values for Wilcoxon's Signed-Ranks and Matched-Pairs Signed-Ranks Tests | p. 1138 |
| Table A6. Table of the Binomial Distribution, Individual Probabilities | p. 1139 |
| Table A7. Table of the Binomial Distribution, Cumulative Probabilities | p. 1142 |
| Table A8. Table of Critical Values for the Single-Sample Runs Test | p. 1145 |
| Table A9. Table of the F[subscript max] Distribution | p. 1146 |
| Table A10. Table of the F Distribution | p. 1147 |
| Table A11. Table of Critical Values for Mann-Whitney U Statistic | p. 1151 |
| Table A12. Table of Sandler's A Statistic | p. 1153 |
| Table A13. Table of the Studentized Range Statistic | p. 1154 |
| Table A14. Table of Dunnett's Modified t Statistic for a Control Group Comparison | p. 1156 |
| Table A15. Graphs of the Power Function for the Analysis of Variance | p. 1158 |
| Table A16. Table of Critical Values for Pearson r | p. 1162 |
| Table A17. Table of Fisher's z[subscript r] Transformation | p. 1163 |
| Table A18. Table of Critical Values for Spearman's Rho | p. 1164 |
| Table A19. Table of Critical Values for Kendall's Tau | p. 1165 |
| Table A20. Table of Critical Values for Kendall's Coefficient of Concordance | p. 1166 |
| Table A21. Table of Critical Values for the Kolmogorov-Smirnov Goodness-of-Fit Test for a Single Sample | p. 1167 |
| Table A22. Table of Critical Values for the Lilliefors test for Normality | p. 1168 |
| Table A23. Table of Critical Values for the Kolmogorov-Smirnov Test for Two Independent Samples | p. 1169 |
| Table A24. Table of Critical Values for the Jonckheere-Terpstra Test Statistic | p. 1171 |
| Table A25. Table of Critical Values for the Page Test Statistic | p. 1173 |
| Index | p. 1175 |
