Exploratory Factor Analysis

  • Brian Sidney Everitt
Part of the Springer Texts in Statistics book series (STS)


In many areas of psychology and other disciplines in the behavioural sciences, it is often not possible to measure directly the concepts of primary interest. Two obvious examples are intelligence and social class. In such cases the researcher is forced to examine the concepts indirectly by collecting information on variables that can be measured or observed directly, and which can also realistically be assumed to be indicators, in some sense, of the concepts of real interest. The psychologist who is interested in an individual’s “intelligence,” for example, may record examination scores in a variety of different subjects in the expectation that these scores are related in some way to what is widely regarded as “intelligence.” And a sociologist, say, concerned with people’s “social class,” might pose questions about a person’s occupation, educational background, home ownership, etc., on the assumption that these do reflect the concept he or she is really interested in.


Exploratory Factor Analysis Manifest Variable Factor Analysis Model Factor Rotation Principal Factor Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag London Limited 2005

Authors and Affiliations

  • Brian Sidney Everitt
    • 1
  1. 1.King’s CollegeLondonUK

Personalised recommendations