Results 311 to 320 of about 45,215,530 (368)
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Psychometrika, 1987
The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
H. Akaike
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The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
H. Akaike
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The SAGE Encyclopedia of Research Design, 2022
Increasing unemployment rate and creation of new jobs are most important issues around the world recently. Then many developed countries, including Republic of Korea, establish and enforce a variety of start-up activation policies to increase employment ...
Kelloway E. Kevin
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Increasing unemployment rate and creation of new jobs are most important issues around the world recently. Then many developed countries, including Republic of Korea, establish and enforce a variety of start-up activation policies to increase employment ...
Kelloway E. Kevin
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Psychometrika, 1965
A distinction is made between statistical inference and psychometric inference in factor analysis. After reviewing Rao's canonical factor analysis (CFA), a fundamental statistical method of factoring, a new method of factor analysis based upon the psychometric concept of generalizability is described.
Kaiser, Henry F., Caffrey, J.
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A distinction is made between statistical inference and psychometric inference in factor analysis. After reviewing Rao's canonical factor analysis (CFA), a fundamental statistical method of factoring, a new method of factor analysis based upon the psychometric concept of generalizability is described.
Kaiser, Henry F., Caffrey, J.
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Regression and Factor Analysis
Biometrika, 1973SUMMARY A basic model of factor analysis is employed in the estimation of multiple correlation coefficients and partial regression weights. Estimators are derived for situations in which some or all of the independent variates are subject to errors in measurement.
Lawley, D. N., Maxwell, A. E.
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Fisher Discriminant Analysis and Factor Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983We show that information on the inherent structure of multidimensional data derived from a factor analysis procedure is equivalent to information obtained by Fisher discriminant analysis techniques, provided certain conditions, usually required in the factor analysis model, are satisfied.
Della Riccia, Giacomo +1 more
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[Decalogue for the Factor Analysis of Test Items].
Psicothema, 2022Decalogue for the Factor Analysis of Test Items. BACKGROUND In the study of the psychometric properties of the items of a test, a fundamental aspect is the analysis of their dimensional structure.
P. J. Ferrando +3 more
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Heteroscedastic factor analysis
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lewin-Koh, S.-C., Amemiya, Y.
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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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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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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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