Chapter 6. Factor Analysis and Structural Equation Modelling

  1. Peter M. Fayers1,2,
  2. David Machin3,4,5

Published Online: 27 APR 2007

DOI: 10.1002/9780470024522.ch6

Book Title

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition

Additional Information

How to Cite

Fayers, P. M. and Machin, D. (2007) Factor Analysis and Structural Equation Modelling, in Quality of Life: The Assessment, Analysis and Interpretation of Patient-Reported Outcomes, Second edition, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470024522.ch6

Author Information

  1. 1

    University of Aberdeen Medical School, Scotland, UK

  2. 2

    Norwegian University of Science and Technology (NTNU), Trondheim, Norway

  3. 3

    Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre, Singapore

  4. 4

    School of Health and Related Research, University of Sheffield, England

  5. 5

    United Kingdom Children's Cancer Study Group (UKCCSG), University of Leicester, England

Publication History

  1. Published Online: 27 APR 2007
  2. Published Print: 2 MAR 2007

ISBN Information

Print ISBN: 9780470024508

Online ISBN: 9780470024522

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Keywords:

  • factor analysis and structural equation modelling;
  • factor analysis in scale development and scale validation;
  • factor analysis in validating QoL scales;
  • factor analysis of HADS questionnaire;
  • exploratory factor analysis (EFA) and confirmatory factor analysis (CFA);
  • orthogonal rotation;
  • asymptotically distribution-free (ADF) factor analysis

Summary

This chapter contains sections titled:

  • Introduction

  • Correlation patterns

  • Path diagrams

  • Factor analysis

  • Factor analysis of the HADS questionnaire

  • Uses of factor analysis

  • Applying factor analysis: choices and decisions

  • Assumptions for factor analysis

  • Factor analysis in QoL research

  • Limitations of correlation-based analysis

  • Causal models

  • Confirmatory factor analysis and structural equation modelling

  • Conclusions

  • Further reading, and software

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