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Statistical Papers, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kosfeld, Reinhold +1 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kosfeld, Reinhold +1 more
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Factor Analysis for Anonymization
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017In this paper we propose a new method to anonymize (share relevant and detailed information while not naming names) and protect data sets (minimize the utility loss) based on Factor Analysis. The method basically consists of obtaining the factors, which are uncorrelated, protecting them and undoing the transformation in order to get interpretable ...
Aida Calvino +2 more
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Analytical Chemistry, 2001
Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Profile Factor Analysis and Variable Factor Analysis
Psychological Reports, 1964Nunnally (1962) mentions three types of profile factor analyses: correlational, covariance, and raw score sums of crossproducts. When principal components factors are used, each of these profile analyses corresponds to a precisely equivalent factor analysis of variables.
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Psychometrika, 1970
A model is presented for factor analysing scores on a set of psychological tests administered as both pre- and postmeasures in a study of change. The model assumes that the same factors underlie the tests on each occasion, but that factor scores as well as factor loadings may change between occasions.
Corballis, M. C., Traub, R. E.
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A model is presented for factor analysing scores on a set of psychological tests administered as both pre- and postmeasures in a study of change. The model assumes that the same factors underlie the tests on each occasion, but that factor scores as well as factor loadings may change between occasions.
Corballis, M. C., Traub, R. E.
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The foundations of factor analysis
Biometrika, 1984A new approach to factor analysis and related latent variable methods is proposed which is based on data reduction using the idea of Bayesian sufficiency. Considerations of symmetry, invariance and independence are used to determine an appropriate family of models.
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Evidence Based Mental Health, 2008
Factor analysis is a broad term that refers to a set of statistical methods used to detect underlying patterns in the relationships among a number of observed variables. Its origins were in the large scale studies defining the dimensions of intelligence pioneered by Thurstone.1 ,2 Factor analysis can appear complicated to the general reader but the ...
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Factor analysis is a broad term that refers to a set of statistical methods used to detect underlying patterns in the relationships among a number of observed variables. Its origins were in the large scale studies defining the dimensions of intelligence pioneered by Thurstone.1 ,2 Factor analysis can appear complicated to the general reader but the ...
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2012
We build on investigations by Keprt, Snasel, Belohlavek, and Vychodil on Boolean Factor Analysis. Rather than minimising the number of Boolean factors we aim at many-valued factorisations with a small number of ordinal factors.
Bernhard Ganter, Cynthia Vera Glodeanu
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We build on investigations by Keprt, Snasel, Belohlavek, and Vychodil on Boolean Factor Analysis. Rather than minimising the number of Boolean factors we aim at many-valued factorisations with a small number of ordinal factors.
Bernhard Ganter, Cynthia Vera Glodeanu
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Multivariate Behavioral Research, 1968
-When a set of variables cannot be regarded as being drawn from a well defined population, the estimation of communalities, population parameters, and universe factors is not a rational undertaking. A descriptive factor analysis can be performed by weighting test vectors inversely as the components of total test variance unable to determine a test ...
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-When a set of variables cannot be regarded as being drawn from a well defined population, the estimation of communalities, population parameters, and universe factors is not a rational undertaking. A descriptive factor analysis can be performed by weighting test vectors inversely as the components of total test variance unable to determine a test ...
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Exploratory factor analysis and confirmatory factor analysis.
2023Keith F. Widaman, Jonathan Lee Helm
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