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Confirmatory Factor Analysis with R - University at Albany ...

Confirmatory Factor Analysis with RA Draft document usinglavaan,sem, andOpenMxBruce Dudek2019-07-11 ContentsPreface31 Introduction and R Caveat on this document .. Resources..52 Prepare and Describe the The Data Set.. Numeric and Graphical Description of the Data.. Bivariate Characteristics of the data set.. Covariances and Zero Order Correlations..133 Using the lavaan package for Implement the CFA, First Model.. Generate a second model and compare.. Compare Model 1 and Model 2.. An additional perspective on estimation and optimization..264 Using the sem package for Example one.. Example two.. Compare the two CFA models produced bysem..405 Using the OpenMx Package for First OpenMx Model - Single Factor .. SecondOpenMxModel - the bifactor model.. ThirdOpenMxModel.. Compare theOpenMxmodels..536 Summary and Reproducibility542 PrefaceThe data set and the models evaluated are those used by James Boswell in his APSY613 MultivariateAnalysis class in the Psychology Department at the University at Albany .

Jul 11, 2019 · The document is targeted to UAlbany graduate students who have already had instruction in R in their introducuctory statistics courses. This book/monograph uses the bookdown package (Xie, 2018a) for R (R Core Team, 2018), which was built on top of rmarkdown (Allaire et al., 2018) and knitr (Xie, 2015). RStudio (RStudio Team, 2015)

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