Applied Univariate, Bivariate, and Multivariate Statistics - Daniel J. Denis

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of a vector by a scalar of 2.

      11 Chapter 13FIGURE 13.1 Basic principal components analysis where E1 and E2 are extracte...FIGURE 13.2 Pearson’s 1901 depiction of minimizing perpendiculars. Each P1, ...FIGURE 13.3 Principal component line of best fit versus least‐squares regres...FIGURE 13.4 Scree plot for Pearson’s data.FIGURE 13.5 Scree plot for eight‐component problem on cormatrix.FIGURE 13.6 Vertical distances are minimized in least‐squares regression.

      12 Chapter 14FIGURE 14.1 Orthogonal rotation in two dimensions where the new axes are ind...FIGURE 14.2 Plot of height and weight (a). Identifying similarity (b).FIGURE 14.3 Dendrogram of clustering (a). Possible final solution (b).FIGURE 14.4 Dendrograms for single linkage (a) and complete linkage (b) clus...

      13 Chapter 15FIGURE 15.1 Path diagram modeling predictability of IQ across generations.FIGURE 15.2 Sewall Wright’s guinea pig path diagram of 1920.FIGURE 15.3 Burks’ path diagram hypothesizing parental intelligence and envi...FIGURE 15.4 Wright’s generic path diagram.FIGURE 15.5 Simple structural equation model.FIGURE 15.6 Bollen’s classic structural equation model on industrialization ...FIGURE 15.7 Weight (a) is less of a latent variable (indicated by smaller ci...

      Guide

      1  COVER PAGE

      2  TITLE PAGE

      3  COPYRIGHT PAGE

      4  DEDICATION PAGE

      5  PREFACE

      6  ABOUT THE COMPANION WEBSITE

      7  TABLE OF CONTENTS

      8  BEGIN READING

      9  REFERENCES

      10  INDEX

      11  WILEY END USER LICENSE AGREEMENT

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