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Factor Analysis

Another critical element to include when writing a research proposal is factor analysis. As explained by Ben Lambert, the purpose of factor analysis is to estimate a mode that explains the variance/covariance between a set of observed variables (in a population) by a set of (fewer) unobserved factors and weightings. Given that factor analysis is a quantitative measure, it can be done using any of the statistical packages such SPSS, STATA, R, Eviews Excel, SAS, and Matlab. When you register for our training, the professionals with Tobit Research Consulting Limited will enable you to learn and execute factor analysis. This will help you to reduce the large number of variables in into fewer variables.

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