Multivariate Data Analysis with ReadingsKey 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. |
Contents
CHAPTER | 1 |
CHAPTER PREVIEW | 19 |
How Is Regression Analysis Used? | 25 |
Copyright | |
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Common terms and phrases
approach assess attributes behavior brand calculated canonical correlation causal relationships centroids cluster analysis conjoint analysis consumers correlation matrix correspondence analysis covariance criterion degrees of freedom Delivery speed dependent variable differences dimensions discriminant analysis discriminant function endogenous estimated coefficients evaluation examine example exogenous constructs Figure firms goodness-of-fit groups HATCO ideal point independent indicators individual interpretation job enrichment Journal of Marketing Key Terms latent variable linear LISREL loadings MANOVA Manufacturer's image Marketing Research measurement error measurement model method metric multidimensional scaling multiple regression nonmetric objects overall part-worth path diagram percent perceptual map positioning predicted predictor variables preference Price flexibility problem procedure Product quality proposed model regression analysis reliability represent residuals respondents Sales force's image sample scores segments selected similar solution specific SPSS stimuli structural equation modeling Table theoretical tion utility validity vector versus X₁ Y₁