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Author : Lisa L. Harlow
Date : 2005-01-18
Page : 265
Rating : 4.5
Reviews : 3
Category : Book
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The Essence of Multivariate Thinking Basic Themes and ~ After providing insight into the core themes the author illustrates them as they apply to the most popular multivariate methods used in the social and behavioral sciences First two intermediate methods are explored – multiple regression and analysis of covariance
The Essence of Multivariate Thinking Basic Themes and ~ Next the multivariate grouping variable methods of multivariate analysis of variance discriminant function analysis and logistic regression are explored Next the themes are applied to multivariate modeling methods including multilevel modeling path analysis confirmatory factor analysis and latent variable models that include exploratory structural methods of principal component and factor analysis
The Essence of Multivariate Thinking Basic Themes and ~ Next the multivariate grouping variable methods of multivariate analysis of variance discriminant function analysis and logistic regression are explored Next the themes are applied to multivariate modeling methods including multilevel modeling path analysis confirmatory factor analysis and latent variable models that include exploratory structural methods of principal component and factor analysis
The Essence of Multivariate Thinking Basic Themes and ~ The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience To encourage a more thorough understanding of multivariate methods author Lisa Harlow suggests basic themes that run through most statistical methodology The most pervasive theme is multiplicity
Essence of Multivariate Thinking Basic Themes and Methods ~ Next the multivariate grouping variable methods of multivariate analysis of variance discriminant function analysis and logistic regression are explored Next the themes are applied to multivariate modeling methods including multilevel modeling path analysis confirmatory factor analysis and latent variable models that include exploratory structural methods of principal component and factor analysis
The Essence of Multivariate Thinking Basic Themes and ~ The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience To encourage a more thorough understanding of multivariate methods author Lisa Harlow suggests basic themes that run through most statistical methodology The most pervasive theme is multiplicity
The Essence of Multivariate Thinking Basic Themes and ~ Next the themes are applied to multivariate modeling methods including multilevel modeling path analysis confirmatory factor analysis and latent variable models that include exploratory structural methods of principal component and factor analysis
The Essence of Multivariate Thinking Basic Themes and ~ The book describes the main features and highlights of a number of multivariate methods Multiple regression analysis of covariance multivariate analysis of variance discriminant function analysis multilevel modeling principal components and factor analysis and structural equation modeling with separate chapters on a structural equation
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