Refer to your initial factor analysis and scrutinize the items looking for
communalities close to 1.0. You will find one or more of them. You will
also find one or more eigenvalues very close to zero, indicative of a
singular matrix.
Example of simulated data with a linear relationship between one and several
other variables.
INPUT PROGRAM.
LOOP #=1 TO 1000.
+ DO REPEAT v=v1 TO v20.
+ COMPUTE v=trunc(uniform(2)).
+ END REPEAT.
+ END CASE.
END LOOP.
END FILE.
END INPUT PROGRAM.
compute badguy=v1 + v2 + (v4 +v5)/5 + v6/2.
FACTOR
/VARIABLES v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v16 v17 v18
v19 v20 badguy .
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me.
---
"Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis."
Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?"