Add to ORKGIn this paper the research of the true number of latent factors in exploratoty factor analysis model is studied through a comparison between the log likelihood ratio test statistics, the information criteria of Akaike, Schwarz and Hannah-Quinn and a procedure of cross-validation. In a simulation study the a priori knowledge of the exact factor structure is used to evaluate the goodness of the different methods
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
Factor analysis has historically been used for myriad purposes in the social and behavioral sciences...
This article develops a new information criterion for the analysis of the factor structure of financ...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Factor analysis is one of the most popular methods of multivariate statistical analysis. This techni...
The identification of the exact dimension of a factor model is usually done using the likelihood rat...
Independent Factor Analysis (IFA) has recently been proposed in the signal pro-cessing literature as...
The problem of the determination of the number of latent factors is analysed within a generalized fa...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
The full-information item factor analysis model proposed by Bock and Aitkin (1981) is described, an...
Testing, in the financial markets, the hypothesis of a k latent factor structure by the methods of e...
A distinction is drawn between the method of principal components developed by Hotelling and the com...
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
Factor analysis has historically been used for myriad purposes in the social and behavioral sciences...
This article develops a new information criterion for the analysis of the factor structure of financ...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Factor analysis is one of the most popular methods of multivariate statistical analysis. This techni...
The identification of the exact dimension of a factor model is usually done using the likelihood rat...
Independent Factor Analysis (IFA) has recently been proposed in the signal pro-cessing literature as...
The problem of the determination of the number of latent factors is analysed within a generalized fa...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Independent Factor Analysis (IFA) has recently been proposed in the signal processing literature as ...
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
The full-information item factor analysis model proposed by Bock and Aitkin (1981) is described, an...
Testing, in the financial markets, the hypothesis of a k latent factor structure by the methods of e...
A distinction is drawn between the method of principal components developed by Hotelling and the com...
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
Factor analysis has historically been used for myriad purposes in the social and behavioral sciences...
This article develops a new information criterion for the analysis of the factor structure of financ...