Add to ORKGThree topics in factor analysis are covered: a) a reliability coefficient for assessing the quality of a maximum likelihood factor analysis, b) an application of three-mode factor analysis to serial learning data, showing variations in learning curves over stages of learning and individuals, and c) the use of personal probability functions to define and fit simple structure hyperplanes in factor rotation. {Author
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Imperfectly reliable scores impact the performance of factor analytic procedures. A series of Monte ...
The importance of the researcher’s interpretation of factor analysis is illustrated by means of an e...
The importance of the researcher’s interpretation of factor analysis is illustrated by means of an e...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
<p>Factor structures by Exploratory Factor Analysis and Reliability (N = 135).</p
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
FACTOR analysis is used for two different theoretical purposes: to search for structure among correl...
In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In obl...
Confirmatory factor analysis (CFA) is a data analysis procedure that is widely used in social and be...
The fundamental mathematical model of Thurstone’s common factor analysis is reviewed. The basic co...
This thesis which consists of four papers is concerned with estimation methods in factor analysis an...
Basing on the study of correlations between large numbers of quantitative variables, the method fact...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Imperfectly reliable scores impact the performance of factor analytic procedures. A series of Monte ...
The importance of the researcher’s interpretation of factor analysis is illustrated by means of an e...
The importance of the researcher’s interpretation of factor analysis is illustrated by means of an e...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
<p>Factor structures by Exploratory Factor Analysis and Reliability (N = 135).</p
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
FACTOR analysis is used for two different theoretical purposes: to search for structure among correl...
In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In obl...
Confirmatory factor analysis (CFA) is a data analysis procedure that is widely used in social and be...
The fundamental mathematical model of Thurstone’s common factor analysis is reviewed. The basic co...
This thesis which consists of four papers is concerned with estimation methods in factor analysis an...
Basing on the study of correlations between large numbers of quantitative variables, the method fact...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
We provide a basic review of the data screening and assumption testing issues relevant to explorator...
In this paper the research of the true number of latent factors in exploratoty factor analysis model...
Imperfectly reliable scores impact the performance of factor analytic procedures. A series of Monte ...