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Factor analysis
in personality research:
Some artefacts and their consequences for psychological assessment
Helfried Moosbrugger & Johannes Hartig
Summary
Exploratory factor analysis (EFA) is one of the most frequently
applied statistical methods in personality research; many trait
theories are mainly based on EFA results. Given the widespread use and
the strong influence of EFA techniques, it is advisable to critically
inspect the ideas underlying these methods and to consider in which
way their application may lead to artefacts in personality research.
In this paper the basic ideas of exploratory factor analysis are
outlined and the major steps in factor analytic research are
described: the selection of relevant variables, the choice of a
measure of association between these variables, the sampling
procedure, the extraction of the initial factors, the identification
of non-trivial factors, factor rotation and interpretation of the
final loading pattern. Subsequently, some consequences and artefacts
related to the decisions that have to be made at each of these steps
are considered. Among other points the risks of over- or
underestimating the number of non-trivial factors, difficulty factors
resulting in the analysis of binary variables and problems related to
the interpretation of orthogonal and oblique factor solutions are
discussed.
Key words: exploratory factor analysis,
binary variables, oblique factor solution, personality questionnaire
Univ. Prof. Dr. Helfried Moosbrugger
Dipl.-Psych. Johannes Hartig
Department of Psychology
Johann Wolfgang Goethe-University of Frankfurt
Mertonstraße 17
D-60054 Frankfurt am Main/Germany
    
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PABST SCIENCE PUBLISHERS
Lengerich, Berlin, Riga, Rom, Wien, Zagreb
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