Multivariate Data Analysis
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Multivariate Data Analysis
Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
Making Sense of Multivariate Data Analysis
A short introduction to the subject, this text is aimed at students & practitioners in the behavioural & social sciences. It offers a conceptual overview of the foundations of MDA & of a range of specific techniques including multiple regression, logistic regression & log-linear analysis.
Multivariate Data Analysis with Readings
Key terms what is muitivariate analysis, impact of computer revolution and multivariate analysis defined. Multiple regression analysis, multiple discriminant analysis and multivariate analysis of variance. Canonical correlation analysis, factor analysis, cluster analysis, muldidimensional scaling, canjoint analysis, structural equation modeling, a mathematical representation in LISREL, notation. Path analysis: a method of computing structural coefficients. Overall goodness-of Fit measures for structural equation modeling. Application of multivariate data analysis.