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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Psychol Methods. 2016 Sep 8;22(3):563–580. doi: 10.1037/met0000095

Table 3.

Summary of results for Simulation I: The table reports the average of the ARI values for the LCM, K-means, and K-median methods for each category level of each design feature.

Design feature Level LCM K-means K-median
Sample size N = 100 .8133 .8071 .8309
N = 200 .8339 .8193 .8366
N = 400 .8480 .8255 .8426
Number of clusters K = 2 .9290 .8830 .9109
K = 3 .8758 .8668 .8740
K = 4 .8390 .8252 .8419
K = 5 .7775 .7710 .7937
K = 6 .7373 .7406 .7631
Number of variables V = 6 .7146 .6778 .6989
V = 9 .8559 .8566 .8807
V = 12 .9247 .9176 .9305
Cluster sizes Equal .8319 .8435 .8441
60% .8332 .8003 .8381
10% .8300 .8081 .8280
Error level 5% .9347 .9364 .9416
10% .8485 .8336 .8512
15% .7119 .6820 .7173

Overall .8317 .8173 .8367