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When deciding how many components to retain, one criterion is to retain all those components whose...

When deciding how many components to retain, one criterion is to retain all those components whose eigenvalues are smaller than 1.
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Answer #1

This statement is False.

Explanation:

According the criterion proposed by Kaiser (1960), only those components are retained whose eigenvalues are greater than 1. Using eigenvalues > 1 is only one indication of how many factors to retain. Other reasons include the scree test, getting a reasonable proportion of variance explained and (most importantly) substantive sense.

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