CiNii Books - Handbook of parametric and nonparametric statistical procedures

Unparalled coverage of parametric and nonparametric statistical procedures. Details more than 75 statistical procedures. Contains information on how to select and use the appropriate statistical analysis for evaluating data from an empirical study.

Table of Contents

Introduction Outline of Inferential Statistical Tests and Measures of Correlation/Association Guidelines and Decision Tables for Selecting the Appropriate Statistical Procedure Inferential Statistical Tests Employed with a Single Sample Test 1: The Single-Sample z Test Test 2: The Single-Sample t Test Test 3: The Single-Sample Chi-Square Test for a Population Variance Test 4: The Wilcoxon Signed-Ranks Test Test 5: The Chi-Square Goodness-of-Fit Test Test 6: The Binomial Sign Test for a Single Sample Test 6a: The z Test for a Population Proportion Test 6b: The Single-Sample Test for the Median Test 7: The Single-Sample Runs Test (and Other Tests of Randomness) Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation) Test 8: The t Test for Two Independent Samples Test 8a - Hartley's Fmax Test for Homogeneity of Variance/F Test for Two Population Variances Test 8b: Omega Squared Test 8c: The z Test for Two Independent Samples Test 9 : The Mann-Whitney U Test Test 10: The Siegel-Tukey Test for Equal Variability Test 11: The Chi-Square Test for r x c Tables Test 11a: The Chi-Square Test for Homogeneity Test 11b: The Chi-Square Test of Independence Test 11c: The Fisher Exact Test Test 11d: The z Test for Two Independent Proportions Test 11e: The Median Test for Independent Samples Test 11f: The Contingency Coefficient Test 11g: The Phi Coefficient Test 11h: Cramer's Phi Coefficient Test 11i: Yule's Q Test 11j: The Odds Ratio Inferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation) Test 12: The t Test for Two Dependent Samples Test 12a: The t Test for Homogeneity of Variance for Two Dependent Samples Test 12b: Omega Squared Test 12c: Sandler's A Test Test 12d: The z Test for Two Dependent Samples Test 13: The Wilcoxon Matched-Pairs Signed-Ranks Test Test 14: The Binomial Sign Test for Two Dependent Samples Test 15: The McNemar Test Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation) Test 16: The Single-Factor Between-Subjects Analysis of Variance Test 16a: Fisher's LSD Test Test 16b: The Bonferroni-Dunn Test Test 16c: Tukey's HSD Test Test 16d: The Newman-Keuls Test Test 16e: The Scheffe Test Test 16f: The Dunnett Test Test 16g: Omega Squared Test 16h: Eta Squared Test 17: The Kruskal-Wallis One-Way Analysis of Variance by Ranks Inferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation) Test 18: The Single-Factor Within-Subjects Analysis of Variance Test 18a: Fisher's LSD Test Test 18b: The Bonferroni-Dunn Test Test 18c: Tukey's HSD Test Test 18d: The Newman-Keuls Test Test 18e: The Scheffe Test Test 18f: The Dunnett Test Test 18g: Omega Squared Test 19: The Friedman Two-Way Analysis of Variance by Ranks Test 20: The Cochran Q Test Inferential Statistical Tests Employed with Factorial Designs (and Related Measures of Association/Correlation) Test 21: The Between-Subjects Factorial Analysis Of Variance Test 21a: Fisher's LSD Test Test 21b: The Bonferroni-Dunn Test Test 21c: Tukey's HSD Test Test 21d: The Newman-Keuls Test Test 21e: The Scheffe Test Test 21f: The Dunnett Test Test 21g: Omega Squared Test 21h: The Factorial Analysis of Variance for a Mixed Design Test 21i: The Within-Subjects Factorial Analysis of Variance Measures of Correlation/Association Test 22: The Pearson Product-Moment Correlation Coefficient Teat 22a: Test of Significance for the Pearson Product-Moment Correlation Coefficient Test 22b: Test for Evaluating the Hypothesis that the True Population Correlation is a Specific Value Other than Zero Test 22c: Test for Evaluating a Hypothesis on Whether There Is a Significant Difference between Two Independent Correlations Test 22d: Test for Evaluating a Hypothesis on Whether k Independent Correlations are Homogeneous Test 22e: Test for Evaluating the Null Hypothesis H0: rXZ = rYZ Test 22f: Test for Evaluating the Null Hypothesis H0: b = 0 Test 22g: Test for Evaluating the Null Hypothesis H0: b1 = b2 Test 22h: The Point-Biserial Correlation Coefficient Test 22i: The Biserial Correlation Coefficient Test 22j: The Tetrachoric Correlation Coefficient Test 22k: The Multiple Correlation Coefficient Test 22l: The Partial Correlation Coefficient Test 22m: The Semipartial Correlation Coefficient Test 23: Spearman's Rank-Order Correlation Coefficient Test 23a: Test for Evaluating the Significance of Spearman's Rank-Order Correlation Coefficient Test 24: Kendall's Tau Test 24a: The Test for Evaluating the Significance of Kendall's Tau Test 25: Kendall's Coefficient of Concordance Test 25a: Test for Evaluating the Significance of the Coefficient of Concordance Test 26: Goodman and Kruskal's Gamma Test 26a: Test for Evaluating the Significance of Gamma Test 26b: Test for Evaluating the Null Hypothesis H0: g1 = g2 Appendix of Statistical Tables U.S. $69.95 ISBN: 0-8493-3119-6 December 1996, c. 700 pp., 7x10 Catalog No. 3119 Outside U.S. $84.00 NTI Copy: Already created for June Sales Meeting Shelving Guide Category Mathematics Subcategory Probability and Statistics Audience Researchers from a variety of disciplines who conduct and evaluate empirical research Professors of inferential statistics Undergraduate and graduate statistics students Contact Editor: Tim Pletscher Backcover Copy/Short Copy

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Handbook of parametric and nonparametric statistical procedures

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