An Easy Guide to Factor Analysis
Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, and concludes with a discussion of the use of the technique with various examples.
An Easy Guide to Factor Analysis is the clearest, most comprehensible introduction to factor analysis for students. All those who need to use statistics in psychology and the social sciences will find it invaluable.
Paul Kline is Professor of Psychometrics at the University of Exeter. He has been using and teaching factor analysis for thirty years. His previous books include Intelligence: the psychometric view (Routledge 1990) and The Handbook of Psychological Testing (Routledge 1992).
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LibraryThing ReviewUser Review - bluetyson - LibraryThing
An Easy Guide to Factor Analysis by Paul Kline is perhaps not so easy. I am not sure Kline has a grasp on what that means. Perhaps easy to an expert already, but I have certainly read mathematics ... Read full review
A general description of factor analysis
Statistical terms and concepts
Principal components analysis
Other methods of factor analysis
Rotation of factors
Confirmatory factor analysis and path analysis
examples from personality testing
Factor analysis in test construction
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ability academic success algebra anxiety argued authoritarian bloated specific Cattell clear computed confirmatory analysis correlation matrix criterion diagonals Direct Oblimin Easy Guide eigenvalues equations examined example explained exploratory analysis exploratory factor analysis extracted extraversion factor loadings factor pattern factor scores factor space factor structure Figure five factors Hashemi hypotheses illustrate important indices of fit intelligence interpret items loading Kline large samples latent variables likelihood factor analysis Loehlin mathematical maximum likelihood factor means measures methods of condensation number of factors Nunnally OATB oblique rotations obtained offenders orthogonal path analysis path coefficients path diagram personality factors Plowden report points possible principal components analysis principal factor problems procedures psychological psychoticism Q factor reference vector replicable residual matrix rotated factors rotated to simple Scree test second-order factors selected shown significant simple structure factor social sciences solution squared structure matrix subjects Table test construction zero