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While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by undergraduate and postgraduate students of all disciplines, especially students of Research Methods in Social Sciences and Management Studies, in their dissertation work.
Students face difficulty in analyzing data collected from small samples; they end up reporting mere percentage analysis which results in the loss of information collected. Hence there is a need to create awareness among students and researchers about the application of major nonparametric tools that can be applied confidently without worrying about sample size, scale of measurement, normality assumptions or other parameters of that nature. The lucid presentation of the step-by-step procedures, explaining in simple English how to perform each of the major nonparametric tests, is a major attraction of the book. The book, which also has a comprehensive question bank, assumes minimal or little knowledge of statistics on the part of the reader.
This book will also be informative for Marketing Research professionals and organisations, consultancies and organisations of economic research.
Sommario
One-Sample Tests
One-Sample Chi-Square Test
Kolmogorov-Smirnov One-Sample Test
Sign Test
Wilcoxon Signed-Ranks Test
One-Sample Runs Test
Two Independent Samples Tests
Chi-Squared Test for Two Samples
Kolmogorov-Smirnov Two-Sample Test
Mann-Whitney U Test
Large Sample Case (Using Critical Z Value for Testing the Hypothesis)
Fisher's Exact Test
Mood's Two-Sample Median Test
Wald-Wolfowitz Runs Test
Two Related Samples Tests
McNemar Test
Sign Test for Matched Pairs
Wilcoxon Signed-Ranks Test for Matched Pairs
K Related Samples Tests
Friedman Two-Way ANOVA
Cochran's Q
Neave-Worthington Match Test
Page's Test for Ordered Alternatives
Match Test for Ordered Alternatives
K Independent Samples Tests
Kruskal-Wallis One-Way ANOVA
Mood's Extended Median Test
Terpstra-Jonckheere Test for Ordered Alternatives
Measures of Correlation and Association
Spearman's Rank Correlation Coefficient
Phi-Correlation Coefficient
Contingency Coefficient
Cramer's V Coefficient
Goodman-Kruskal Lambda
Goodman-Kruskal Gamma
Somer's d
Kendall's Rank Correlation Coeffecient (Kendall's Tau)
Kendall's Tau-b
Kendall's Tau-c
Kendall's Partial Rank Correlation Coefficient
Point Biserial Correlation
Cohen's Kappa Coefficient
Kendall's Coefficient of Concordance
Mantel-Haenszel Chi-Square
Tests of Interaction and Multiple Comparison
Dunn's Multiple Comparison Test for K Independent Samples
Dunn's Multiple Compariosn Test for K Related Samples
Wilcoxon Multiple Comparison Test
Nemenyi Multiple Comparison Test
Wilcoxon Interaction Test
Haberman's Post-Hoc Analysis of the Chi-Square Test
Multivariate Nonparametric Test for Interdependence
Correspondence Analysis for Contingency Table
Questionnaire
Info autore
D. Israel is Assistant Professor (Marketing Area), in the School of Business and Human Resources at XLRI Jamshedpur. Prior to joining XLRI, he had taught at the Institute of Management Technology (IMT), Ghaziabad and at Karunya University, Coimbatore. His areas of interests include Business Research Methods, Marketing Research, Data Analysis for Marketing Decisions and Service Loyalty Measurements. He has conducted several development programmes on the Application Statistical Tools through SPSS, has published several articles in refereed journals and has presented papers in the marketing conferences in both India and abroad.
