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International Journal of Business and Management; Vol. 8, No. 9; 2013 ISSN 18333850 ISSN 18338119 Published by Canadian Center of Science and EducationApplying Factor Analysis on the Financial Ratios
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Factor analysis is applied on a dataset to identify underlying factors or latent variables that explain the observed variables.
Applying factor analysis is usually used by researchers, statisticians, data analysts, psychologists, and social scientists.
To perform factor analysis, one must first gather data, assess the assumptions of the analysis, choose an appropriate method (such as principal component analysis or common factor analysis), extract the factors, interpret the results, and validate the model.
The purpose of applying factor analysis is to reduce the data into a smaller set of factors, simplify complex relationships between variables, identify underlying patterns or structures, and aid in data interpretation and visualization.
The information reported in factor analysis includes factor loadings, communalities, eigenvalues, percentage of variance explained, factor rotation results, and factor interpretation.
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