Calcite | Level 5

Principal Component Analysis Output Question

Hello,

I am conducting principal component analysis using SAS University and I am noticing that in my factor structure output the variable name is repeating twice (screen shot attached). When I ran the PCA using a smaller sample (N=20) I did not see the variable repeated in the output, but I am seeing it with a larger sample (N=347). Is it normal to see the variable repeated twice? If it is normal - will this affect my results? If it is not normal, can anyone recommend how to resolve this issue? Below is the code that I used.

Thanks,

Naheed

PROC FACTOR DATA=combined2
SIMPLE
METHOD=PRIN
PRIORS=ONE
MINEIGEN=1
SCREE
ROTATE=Varimax;
VAR Q17_1 Q17_2 Q17_3 Q17_4 Q17_N5 Q17_6 Q17_7 Q17_N8 Q17_9
Q17_10 Q17_11 Q17_12 Q17_13 Q17_14 Q17_N15 Q17_16 Q17_17 Q17_18 Q17_19;
run;

1 ACCEPTED SOLUTION

Accepted Solutions
Opal | Level 21

Re: Principal Component Analysis Output Question

The first column is the variable name, tyhe second is the variable label (= name if undefined)

PG
4 REPLIES 4
Diamond | Level 26

Re: Principal Component Analysis Output Question

Many of us cannot or will not open/download Microsoft Office documents because they are a security threat.

Copy the output as text and paste it into the window that appear when you click on the {i} icon. Do not share the output any other way.

--
Paige Miller
Opal | Level 21

Re: Principal Component Analysis Output Question

The first column is the variable name, tyhe second is the variable label (= name if undefined)

PG
Calcite | Level 5

Re: Principal Component Analysis Output Question

Thanks for the tip. Here's the output:

 Factor Pattern Factor1 Factor2 Factor3 Factor4 Q17_1 Q17_1 0.67294 0.41280 -0.15852 -0.01036 Q17_2 Q17_2 0.48358 0.68248 0.08352 0.25726 Q17_3 Q17_3 0.54983 0.57711 0.11512 0.28107 Q17_4 Q17_4 0.44381 0.53358 0.24719 0.13010 Q17_N5 0.41870 -0.36661 0.55073 -0.14263 Q17_6 Q17_6 0.60053 0.11641 -0.17944 -0.17651 Q17_7 Q17_7 0.73825 -0.05641 0.06892 -0.27410 Q17_N8 0.56599 -0.26417 0.51468 0.07845 Q17_9 Q17_9 0.81419 -0.05927 0.07920 -0.11640 Q17_10 Q17_10 0.70069 -0.00277 -0.04340 -0.37276 Q17_11 Q17_11 0.76431 0.06739 -0.01304 -0.32130 Q17_12 Q17_12 0.65156 0.05227 -0.14024 0.07191 Q17_13 Q17_13 0.53118 -0.35661 -0.29325 -0.08524 Q17_14 Q17_14 0.60679 0.06842 -0.40916 -0.23758 Q17_N15 0.50536 -0.00858 0.31649 -0.10772 Q17_16 Q17_16 0.32222 -0.31449 0.20480 0.17755 Q17_17 Q17_17 0.62299 -0.36914 -0.28542 0.38655 Q17_18 Q17_18 0.63534 -0.30515 -0.08891 0.43425
Super User

Re: Principal Component Analysis Output Question

I don't see anything repeated, what are you referring to?
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