Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

ISBN-13: 9781439858011 / Angielski / Twarda / 2011 / 1926 str.

David J. Sheskin

Opis

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures. New in the Fifth Edition:

• Substantial updates and new material throughout
• New chapters on path analysis, meta-analysis, and structural equation modeling
• Index numbers and time series analysis applications in business and economics
• Statistical quality control applications in industry
• Random- and fixed-effects models for the analysis of variance

Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.

Spis treści

IntroductionOutline of Inferential Statistical Tests and Measures of Correlation/AssociationGuidelines and Decision Tables for Selecting the Appropriate Statistical Procedure Inferential Statistical Tests Employed with a Single SampleThe Single-Sample z Test The Single-Sample t Test The Single-Sample Test for Evaluating Population Skewness The Single-Sample Test for Evaluating Population Kurtosis The Wilcoxon Signed-Ranks TestThe Kolmogorov–Smirnov Goodness-of-Fit Test for a Single SampleThe Chi-Square Goodness-of-Fit Test The Binomial Sign Test for a Single SampleThe Single-Sample Runs Test (and Other Tests of Randomness) Inferential Statistical Tests Employed with Two Independent Samples (and Related Measures of Association/Correlation)The t Test for Two Independent SamplesThe Mann–Whitney U TestThe Kolmogorov–Smirnov Test for Two Independent Samples The Siegel–Tukey Test for Equal VariabilityThe Moses Test for Equal Variability The Chi-Square Test for r × c TablesInferential Statistical Tests Employed with Two Dependent Samples (and Related Measures of Association/Correlation)The t Test for Two Dependent Samples The Wilcoxon Matched-Pairs Signed-Ranks Test The Binomial Sign Test for Two Dependent Samples The McNemar Test Inferential Statistical Tests Employed with Two or More Independent Samples (and Related Measures of Association/Correlation)The Single-Factor Between-Subjects Analysis of Variance The Kruskal–Wallis One-Way Analysis of Variance by RanksThe van der Waerden Normal Scores TestInferential Statistical Tests Employed with Two or More Dependent Samples (and Related Measures of Association/Correlation) The Single-Factor Within-Subjects Analysis of VarianceThe Friedman Two-Way Analysis of Variance by RanksThe Cochran Q Test Inferential Statistical Test Employed with a Factorial Design (and Related Measures of Association/Correlation)The Between-Subjects Factorial Analysis of Variance Measures of Association/CorrelationThe Pearson Product-Moment Correlation Coefficient Spearman’s Rank-Order Correlation Coefficient Kendall's TauKendall's Coefficient of ConcordanceGoodman and Kruskal's GammaMultivariate Statistical AnalysisMatrix Algebra and Multivariate Analysis Multiple RegressionHotelling’s T2 Multivariate Analysis of Variance Multivariate Analysis of CovarianceDiscriminant Function Analysis Canonical Correlational Logistic Regression Principal Components Analysis and Factor Analysis Path Analysis Structural Equation Modeling Meta-Analysis Appendix: TablesTable of the Normal Distribution Table of Student’s t Distribution Power Curves for Student’s t Distribution Table of the Chi-Square DistributionTable of Critical T Values for Wilcoxon’s Signed-Ranks and Matched-Pairs Signed-Ranks TestsTable of the Binomial Distribution, Individual ProbabilitiesTable of the Binomial Distribution, Cumulative ProbabilitiesTable of Critical Values for the Single-Sample Runs TestTable of the Fmax Distribution Table of the F Distribution Table of Critical Values for Mann–Whitney U StatisticTable of Sandler’s A StatisticTable of the Studentized Range StatisticTable of Dunnett’s Modified t Statistic for a Control Group Comparison Graphs of the Power Function for the Analysis of VarianceTable of Critical Values for Pearson r Table of Fisher’s zr Transformation Table of Critical Values for Spearman’s RhoTable of Critical Values for Kendall’s Tau Table of Critical Values for Kendall’s Coefficient of ConcordanceTable of Critical Values for the Kolmogorov–Smirnov Goodness-of-Fit Test for a Single Sample Table of Critical Values for the Lilliefors Test for Normality Table of Critical Values for the Kolmogorov–Smirnov Test for Two Independent Samples Table of Critical Values for the Jonckheere–Terpstra Test StatisticTable of Critical Values for the Page Test StatisticTable of Extreme Studentized Deviate Outlier StatisticTable of Durbin–Watson Test StatisticConstants Used for Estimation and Construction of ControlChartsIndex

O autorze

David Sheskin is Professor of Psychology at Western Connecticut State University with a specialization in statistics and research design.