Step-by-Step Guide to Exploratory Factor Analysis with Stata

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A01=Marley Watkins
Age Group_Uncategorized
Age Group_Uncategorized
applied
Author_Marley Watkins
automatic-update
behavioral science methods
best practice
Bifactor Model
categorical variable analysis
Category1=Non-Fiction
Category=JMB
Common Factor Analysis
Common Factor Model
COP=United Kingdom
Correlation Matrix
Data Editor Window
Delivery_Pre-order
EFA
EFA Model
EFA Result
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exploratory Factor Analysis
Factor Extraction Method
Interfactor Correlations
Language_English
Map
Mardia's Kurtosis
Mardia’s Kurtosis
Missing Data
multivariate
multivariate data analysis
Oblique Rotation
PA=Temporarily unavailable
Path Diagram
Pattern Coefficients
Polychoric Correlation
practical guide to EFA in Stata
Price_€50 to €100
principal components method
Priori Guidelines
PS=Active
psychological measurement
psychometric statistics
quantitative research
Reduced Correlation Matrix
Salient Loadings
Scree Plot
SEM
softlaunch
STATA
structural equation modeling
Xlsx File

Product details

  • ISBN 9780367710323
  • Weight: 380g
  • Dimensions: 152 x 229mm
  • Publication Date: 09 Sep 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • 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 Stata.

In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata 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 when 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 PhD 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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