topic Principal Component Analysis Output Question in Statistical Procedures

Principal Component Analysis Output Question

Naheed — Sun, 18 Aug 2019 22:49:03 GMT

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;

Re: Principal Component Analysis Output Question

PaigeMiller — Sun, 18 Aug 2019 23:44:59 GMT

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.

Re: Principal Component Analysis Output Question

PGStats — Sun, 18 Aug 2019 23:52:45 GMT

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

Re: Principal Component Analysis Output Question

Naheed — Mon, 19 Aug 2019 00:10:49 GMT

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

Re: Principal Component Analysis Output Question

Reeza — Mon, 19 Aug 2019 14:56:48 GMT

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