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. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: Behav Res Methods. 2017 Feb;49(1):282–293. doi: 10.3758/s13428-015-0697-6

Table 1.

All pnax results for Simulation I

RV ICEM KM AHC SS
Overall .40 .55 .11 .05 .02
Clusters
 2 .43 .47 .05 .10 .04
 4 .42 .62 .11 .04 .01
 6 .35 .57 .16 .01 .00
Variables
 2 .36 .49 .11 .09 .04
 4 .40 .60 .07 .02 .01
 6 .44 .56 .14 .04 .00
SS
 100 .58 .43 .15 .06 .01
 500 .36 .59 .09 .02 .02
 800 .26 .63 .09 .06 .01
Density
 Equal-sized .43 .51 .10 .05 .04
 1 Small .35 .57 .17 .07 .00
 1 Large .42 .58 .05 .02 .01
Separation
 Close .25 .62 .10 .06 .01
 Moderate .40 .56 .14 .06 .01
 Well .56 .48 .09 .02 .02

Each cell is the average proportion of solutions in which the resulting BIC was the best found for that data set. Bold values indicate the best ARI for the factor condition. RV, random values; ICEM, iteratively constrained EM; KM, k-means clustering; AHC, agglomerative hierarchical clustering; SS, sum score.