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.
Multivariate Nonparametric Test for Interdependence
Multivariate Nonparametric Test for Interdependence
Correspondence Analysis for Contingency Table
Also called correspondence analysis (CA), perceptual mapping and social space analysis, this technique aims at explaining the inertia (variance) in a cross-tabulation with ‘n’ number of rows and columns. While one may argue that chi-square analysis can be performed in such a situation, it should be emphasised here that chi-square is not effective for a large number of rows and columns with different frequencies in the cells. Further, even though one can establish the association between the row and column variables, it is hard to locate which categories of row and column variables are associated together. Moreover, it is a Utopian task to locate on a graphical map those categories that are ...
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