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Handbook of Parametric and Nonparametric Statistical Procedures David J. Sheskin (Western Connecticut State University, Danbury, USA)

Handbook of Parametric and Nonparametric Statistical Procedures By David J. Sheskin (Western Connecticut State University, Danbury, USA)

Handbook of Parametric and Nonparametric Statistical Procedures by David J. Sheskin (Western Connecticut State University, Danbury, USA)

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Summary

This work covers parametric and nonparametric statistical procedures. Detailing nearly 75 statistical procedures, it shows: how to select and conduct statistical analysis; how to discriminate acceptable from unacceptable research; and how to interpret and understand the results of research.

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Handbook of Parametric and Nonparametric Statistical Procedures Summary

Handbook of Parametric and Nonparametric Statistical Procedures by David J. Sheskin (Western Connecticut State University, Danbury, USA)

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

    • Additional information

    CIN0849331196VG
    9780849331190
    0849331196
    Handbook of Parametric and Nonparametric Statistical Procedures by David J. Sheskin (Western Connecticut State University, Danbury, USA)
    David J. Sheskin (Western Connecticut State University, Danbury, USA)
    Used - Very Good
    Hardback
    Taylor & Francis Inc
    19961220
    752
    N/A
    Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
    This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

    Customer Reviews - Handbook of Parametric and Nonparametric Statistical Procedures