Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

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A01=Marley Watkins
Age Group_Uncategorized
Age Group_Uncategorized
applied
Approximate Fit Indices
Author_Marley Watkins
automatic-update
best practice
Bifactor Model
Category1=Non-Fiction
Category=JMA
Category=JMB
Category=KCH
Common Factor Analysis
Common Factor Model
COP=United Kingdom
Correlation Matrix
Data Sets
Delivery_Delivery within 10-20 working days
EFA Model
EFA Result
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exploratory Factor Analysis
Interfactor Correlation
IQ Data
Language_English
Map
multivariate
open source software
PA=Available
Path Diagram
Pattern Coefficients
Price_€100 and above
Priori Guidelines
PS=Active
Psych Package
psychological measurement
Qgraph Package
quantitative research
R packages
Reduced Correlation Matrix
Rstudio software
Saliently Loaded
Schmid Leiman Transformation
Scree Plot
SDQ Data
SEM
softlaunch
structural equation modeling
Structure Coefficients
Tetrachoric Correlation
Univariate Kurtosis

Product details

  • ISBN 9780367636258
  • Weight: 530g
  • Dimensions: 152 x 229mm
  • Publication Date: 30 Dec 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R.

In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews.

This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.

Marley W. Watkins earned a Ph.D. in Educational Psychology and Measurements with a specialty in School Psychology from the University of Nebraska-Lincoln, USA. He is currently Research Professor in the Department of Educational Psychology at Baylor University, USA, and has authored more than 200 articles, books, and chapters and presented more than 150 papers at professional conferences.

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