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

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A01=Marley W. Watkins
advanced exploratory factor analysis techniques
Age Group_Uncategorized
Age Group_Uncategorized
applied
Author_Marley W. Watkins
automatic-update
Bartlett's Test
Bartlett’s Test
behavioral science research
best practice
Bifactor Model
categorical data analysis
Category1=Non-Fiction
Category=JMB
Command Code
Common Factor Analysis
Common Factor Model
Compute Variable Window
COP=United Kingdom
Correlation Matrix
Data Editor Window
Delivery_Pre-order
EFA
EFA Result
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Exploratory Factor Analysis
Exploratory Factor Analysis Model
graduate level statistics
Interfactor Correlations
Language_English
Map
measurement theory
Missing Data
multivariate
multivariate statistics
Oblique Rotation
PA=Temporarily unavailable
Price_€50 to €100
Principal Axis Extraction
PS=Active
psychological measurement
quantitative research
Reduced Correlation Matrix
Saliently Loaded
Scree Plot
SEM
softlaunch
SPSS
SPSS Data File
SPSS Menu
SPSS. Step
structural equation modeling
Syntax Window
Xlsx File

Product details

  • ISBN 9780367710316
  • Weight: 410g
  • Dimensions: 152 x 229mm
  • Publication Date: 22 Jun 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 SPSS.

In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots and code from SPSS 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 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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