topic Re: Normalization formula in Statistical Procedures

Normalization formula

Hari28 — Tue, 08 Nov 2022 22:15:09 GMT

My question is in proc factor in that after varimax system do some normalization and then they add power to the matrix and get the target matrix. What is the exact formula they use in the normalization because the least squre difference shows some variation in the output..

NOPROMAXNORM-NOPROMAXNORM option turns off the default row normalization of the pre- rotated factor pattern

As per sas output, what is default row normalization they do?

Re: Normalization formula

Reeza — Tue, 08 Nov 2022 22:27:58 GMT

Does this answer your question?

NORM=COV | KAISER | NONE | RAW | WEIGHT

specifies the method for normalizing the rows of the factor pattern for rotation. If you specify the option NORM=KAISER, Kaiser’s normalization is used . If you specify the option NORM=WEIGHT, the rows are weighted by the Cureton-Mulaik technique (Cureton and Mulaik 1975). If you specify the option NORM=COV, the rows of the pattern matrix are rescaled to represent covariances instead of correlations. If you specify the option NORM=NONE or NORM=RAW, normalization is not performed. The default is NORM=KAISER.

@Hari28 wrote:
My question is in proc factor in that after varimax system do some normalization and then they add power to the matrix and get the target matrix. What is the exact formula they use in the normalization because the least squre difference shows some variation in the output..

NOPROMAXNORM-NOPROMAXNORM option turns off the default row normalization of the pre- rotated factor pattern

As per sas output, what is default row normalization they do?

Re: Normalization formula

Hari28 — Tue, 08 Nov 2022 22:52:41 GMT

Thanks for information.. We achieve the target matrix from varimax output(
default: Kaiser normalization with varimax rotation) by adding power of
three( default)

My question is after varimax system do some normalization and then they add
power to the matrix and get the target matrix. What is the exact formula
they use in the normalization because the least square difference shows
some variation in the output.