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An overview of the psych package - Personality Project
relation\heat maps"(corPlot) factor, cluster, and structural diagrams using fa.diagram, iclust.diagram, structure.diagram and het.diagram, as well as item response charac-teristics and item and test information characteristic curves plot.irtand plot.poly. This vignette is meant to give an overview of the psych package. That is, it is meant
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Structural Equation Modeling with categorical variables
personality-project.orgDepartment of Data Analysis Ghent University endogenous versus exogenous •the categorical variables are exogenous only – for example, ANOVA – standard approach: convert to dummy variables (if the categorical vari-
How To: Use the psych package for Factor Analysis …
personality-project.orgHow To: Use the psych package for Factor Analysis and data reduction William Revelle Department of Psychology Northwestern University July 3, 2018
How To: Install R and the psych package
personality-project.orgThe current list of How To’s includes: 1.Anintroduction(vignette) of the psych package 2.Anoverview(vignette) of the psych package 3.Installing R and some useful packages (this document) 4.Using R and the psych package to nd omega h and w t. 5.Using R and the psych forfactor analysisand principal components analysis.
Chapter 5 Multiple correlation and multiple regression
personality-project.org130 5 Multiple correlation and multiple regression 5.2.1 Direct and indirect effects, suppression and other surprises If the predictor set x i,x j are uncorrelated, then each separate variable makes a unique con- tribution to the dependent variable, y, and R2,the amount of variance accounted for in y,is the sum of the individual r2.In that case, even though each predictor accounted for only
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