Factor analysis

The variance of an indicator is composed by...

• communality + variance of unique factor

• loading + variance of the unique factor

• communality + loading

In Factor analysis, the factors are...

• responsible for the correlation between indicators

• linear combinations of indicators

• linear combinations of records

Varimax and quartimax are oblique rotations.

• True

• False

Given a data set, if the variables are not correlated, then we should perform a FA.

• True

• False

If the variable A has a high communality in factor X, then A is a good measure X.

• True

• False

In PCF (Principal Components Factoring), it is assumed that the communalities are 1.

• True

• False

If the communality is 1 then...

• the variance of the indicator is composed by shared and unique variance

• the variance of the indicator is only composed by the shared variance

The unique factors are correlated among themselves.

• True

• False