Hi,
I look for guidance how to understand the following result of a Quick
Cluster analysis. Before the cluster analysis I factor analysed
Schwartz's 21 Human Values item, dropped cases with a response set and
got a KMO of .89 for the factor analysis. The factors are close to the
study hypotheses.
Now I want to use the three factors community, ego, and order to create
a typology and start with k=3 clusters. For this step I took a 10%
sample of the initial more than 50,000 cases to reduce computation time.
The three input factors are standardised before the clustering. All
cases with missing data are excluded (listwise deletion).
The result is incomprehensible to me. Where does the NaN result for one
cluster may come from ? And the sizes of the 3 clusters are so different
that there must be an error somewhere.
Any ideas ?
Thanks in advance
-ftr
Descriptive Statistics
N Mean Std Dev Minimum Maximum
community2 4738,97 ,01 ,89 -3,73 2,38
ego2 4738,97 ,00 ,92 -3,26 2,53
order2 4738,97 -,03 ,85 -3,28 2,24
Valid N (listwise) 5155,35
Missing N (listwise) 416,38
QUICK CLUSTER zcommunity2 zego2 zorder2
/CRITERIA=CLUSTERS(3) NOINITIAL
/MISSING=EXCLUDE
/PRINT=INITIAL CLUSTER
/SAVE=CLUSTER(clus3t) DISTANCE(distclus3t).
Initial Cluster Centers
Cluster
1 2 3
Z-score of community2 ,04 1,06 ,70
Z-score of ego2 ,84 1,10 -,72
Z-score of order2 -,84 1,10 -,40
Final Cluster Centers
Cluster
1 2 3
Z-score of community2 -,05 1,37 NaN
Z-score of ego2 -,10 2,75 NaN
Z-score of order2 -,09 2,50 NaN
Number of Cases in each Cluster
Count
Cluster 1 2132
2 81
3 0
Valid 2213
