Summary
Contents
Subject index
Data Analysis in Business Research: A Step By Step Nonparametric Approach discusses tools pertaining to one-sample tests, two independent sample tests, k-independent sample tests, two-related sample tests, k-related sample tests, measures of correlations and associations, tests of interactions and multiple comparisons and, multivariate interdependence test using correspondence analysis. The book features:Non-technical coverageLucid presentation for easy comprehensionIllustrated step-by-step approachCompendium of major non-parametric tests in one textComprehensive quiz bankWould be widely applicable in all disciplinesA friendly guide in doing the dissertation data analysisThis book is designed as a supplementary text for students of business and management. It will also be useful for marketing professionals and market research organizations.
Tests of Interaction and Multiple Comparison
Tests of Interaction and Multiple Comparison
Once the k independent or k related sample test has revealed significant results, we are interested in knowing which pair of the variables or groups are significantly different from each other. For example, if the Kruskal–Wallis One-Way ANOVA has displayed a significant result indicating the presence of significant differences among 3 or more variables or groups the next question is which pair of the groups or variables are significantly different from each other. This can be achieved by performing the multiple-comparison techniques, which is what is discussed in this chapter. The applications of various comparison tests such as Dunn's Multiple Comparison for K independent samples, Dunn's Multiple Comparison for K related samples, Wilcoxon Multi ...
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