How to perform and interpret an exploratory factor analysis using SPSS Statistics
DOI:
https://doi.org/10.1344/reire2019.12.227057Keywords:
Statistical analysis, Multivariate analysis, Exploratory factor analysisAbstract
In educational research, it’s common to use multivariate analysis to study the information collected on a large number of variables in a single sample of individuals. There are two main types of multivariate analysis: that which uses methods of dependency, dividing the analysed variables into two groups and determining whether the set of independent variables affects all dependent variables and how; and analysis using methods of interdependency, whose objective is to analyse the relationships between all the variables at the same level. Exploratory factor analysis is an example of this second type and one of its objectives is to provide simple but adequate analyses of the relationships between a large number of variables by explaining these in terms of a smaller number of unobserved latent variables or “factors”, losing as little as possible of the predictive power of the data. This article describes how to perform a factor analysis with SPSS Statistics and interpret its results.References
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