• No outlier: Assuming that there are no outliers in data. • Interval data: Interval data in Factor Analysis are assumed. • Adequate sample size: The case used must be greater than the factor. • No perfect multicollinearity: There should not be any multicollnearity between variables in factor analysis as it is an independency technique. • Homoscedasticity: Being a linear function of measured variables, factor analysis does not require homoscedasticity between the variables.
