Examples of using Factor analysis in English and their translations into French
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the analysis variance using 4 factors, the Principal Component Analysis(PCA), the Factor Analysis(AFC) and Log-linear analysis. .
using a factor analysis.
making it possible to do a factor analysis that combined the statements used to measure job satisfaction into a single category.
Taxonomic statistical methods such as cluster analysis or factor analysis were being used when handling socio-economic data for the purpose of identifying least-
correlational analysis and factor analysis.
Factor analysis is a statistical technique aimed at finding the minimum number of“latent” variables(“factors”)
The papers contained in this issue of OECD Economic Studies often use factor analysis to summarise crosscountry information on regulation
Multiple factor analysis(MFA) is a factorial method devoted to the study of tables in which a group of individuals is described by a set of variables(quantitative and/
Exploratory and confirmatory factor analysis models, for example,
Factor analysis of mixed data(FAMD),
Factor analysis showed that all 11 variables considered were strongly correlated with each other, meaning that establishments
Based on the conceptual framework, factor analysis showed that eight of the factors or variables considered for
Furthermore, factor analysis indicated that it was possible to construct a single variable expressing the scope of management of OSH risk that allowed the characterisation of establishments along a continuum.
This information may include performance targets, factor analysis which may impact the results,
INDICATORS OF REGULATION IN THE RETAIL DISTRIBUTION INDUSTRY(1998) Based on the regulatory information presented above, factor analysis makes it possible to classify regulations governing access to the retail distribution sector,
In trying to identify the factors, regression or factor analysis(Principle Components) could be used
Since the latent variable is categorical, Latent Class modeling differs from more traditional latent variable approaches such as factor analysis, structural equation models,
Principal Component Analysis, Multiple Factor Analysis and Hierarchical Clustering,
Information about financial stress is extracted from a wide array of financial variables using several techniques, including factor analysis, econometric benchmarking,
2012) authors employed factor analysis to aggregate indicators to the component level.