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A Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs

Name: A Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs
Price: 18.95 EUR
Availability: InStock
Author: Holger Bodenmüller
ISBN: 978-3-656-92369-5

Term Paper, 2011

26 Pages, Grade: 1,0

Holger Bodenmüller (Author)

Excerpt

Executive Summary

List of Abbreviations

List of Figures

List of Tables

1 Introduction/Problem Definition

2 Objectives

3 Methodology

4 Factor Analysis: Historical and Theoretical Basics
4.2 Factor Analysis: Parameters
4.2.1 Factor Score
4.2.2 Factor/Factor Loading
4.2.3 Communality (h2)
4.2.4 Eigenvalue
4.2.5 Rotation
4.3 PCA
4.4 PAF and Oblique Rotation

5 Data Sample and Analysis
5.1 Construct Structure of the Questionnaire
5.2 Sample Structure and Survey Conduction
5.3 Hypothesis/Questions
5.4 Data Analysis
5.5 Results PCA
5.6 Results PAF
5.7 Secondary Factors

6 Conclusion

7 Appendix

8 ITM Checklist

9 Bibliography

Excerpt out of 26 pages

Details

Title: A Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs
College: University of applied sciences, Munich
Course: Research Methods
Grade: 1,0
Author: Holger Bodenmüller (Author)
Year: 2011
Pages: 26
Catalog Number: V294583
ISBN (eBook): 9783656923688
ISBN (Book): 9783656923695
File size: 514 KB
Language: English
Keywords: Principal Component Analysis, Principal Axis Factoring, Latent Constructs, Factor Analysis

Quote paper: Holger Bodenmüller (Author), 2011, A Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs, Munich, GRIN Verlag, https://www.grin.com/document/294583

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