<p>This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using <b>Stata</b>. </p><p>In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of <b>Stata</b> code and recommends evidence-based best p
A Step-by-Step Guide to Exploratory Factor Analysis with SPSS
โ Scribed by Marley W. Watkins
- Publisher
- Routledge
- Year
- 2021
- Tongue
- English
- Leaves
- 223
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Cover
Half Title
Title
Copyright
Contents
List of Figures
Preface
1 Introduction: Historical Foundations
2 Data
3 SPSS Software
4 Importing and Saving Data
5 Decision Steps in Exploratory Factor Analysis
6 Step 1: Variables to Include
7 Step 2: Participants
8 Step 3: Data Screening
9 Step 4: Is Exploratory Factor Analysis Appropriate?
10 Step 5: Factor Analysis Model
11 Step 6: Factor Extraction Method
12 Step 7: How Many Factors to Retain
13 Step 8: Rotate Factors
14 Step 9: Interpret Exploratory Factor Analysis Results
15 Step 10: Report Exploratory Factor Analysis Results
16 Exploratory Factor Analysis with Categorical Variables
17 Higher-Order and Bifactor Models
18 Exploratory Versus Confirmatory Factor Analysis
19 Practice Exercises
References and Resources
Index
๐ SIMILAR VOLUMES
For courses in Statistics and Research Methods. aStudent Friendly, Step-by-Step Approach. Designed to be hands-on with the user performing the analyses alongside on their computer as they read through each chapter.<br>Without question, statistics is one of the most challenging courses for students i
Pt. II, Preparing a data file : -- Creating a data file and entering data -- Screening and cleaning the data.;Pt. IV, Statistical techniques to explore relationships among variables : -- Correlation -- Partial correlation -- Multiple regression -- Logistic regression -- Factor analysis.;Pt. V, Stati
This is a completely updated edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics Version 21, this