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Chapter 19

Chapter 19. Multivariate Analysis: An Overview. Learning Objectives. Understand . . . How to classify and select multivariate techniques. That multiple regression predicts a metric dependent variable from a set of metric independent variables.

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Chapter 19

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  1. Chapter 19 Multivariate Analysis: An Overview

  2. Learning Objectives Understand . . . • How to classify and select multivariate techniques. • That multiple regression predicts a metric dependent variable from a set of metric independent variables. • That discriminant analysis classifies people or objects into categorical groups using several metric predictors.

  3. Learning Objectives Understand . . . • How multivariate analysis of variance assesses the relationship between two or more metric dependent variables and independent classificatory variables. • How structural equation modeling explains causality among constructs that cannot be directly measured.

  4. Learning Objectives Understand . . . • How conjoint analysis assists researchers to discover the most importance attributes and the levels of desirable features. • How principal components analysis extracts uncorrelated factors from an initial set of variables and exploratory factor analysis reduces the number of variables to discover the underlying constructs.

  5. Untukmelihat file lengkapnyasilahkanmenghubungikamidiwww.mb.ipb.ac.id

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