What are the assumptions made when using factor analysis?
- Homoscedasticity, autocorrelation, and stationarity
- Independence, normality, and equal variance
- Normality, linearity, and homoscedasticity
- Normality, linearity, and multicollinearity
The assumptions of factor analysis include normality (the variables used in the analysis should be normally distributed), linearity (the relationship between the factors and the variables should be linear), and homoscedasticity (the variances of the errors should be constant).
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