Table 1.
Parameter | B | SE | t | p | 95% CI | |
---|---|---|---|---|---|---|
Lower | Upper | |||||
Intercept | 0.66 | 0.05 | 14.22 | 0.00 | 0.57 | 0.75 |
Method | ||||||
Hierarchical Clusteringa | −0.04 | 0.03 | −1.59 | 0.11 | −0.10 | 0.01 |
K-Means Clusteringa | −0.02 | 0.03 | −0.67 | 0.50 | −0.07 | 0.04 |
Number of Clusters | −0.14 | 0.01 | −10.93 | 0.00 | −0.16 | −0.11 |
Number of Observations | 0.00 | 0.00 | −1.34 | 0.18 | −0.01 | 0.00 |
Conditional Probability | 0.20 | 0.01 | 27.08 | 0.00 | 0.19 | 0.22 |
Hierarchical × Number of Clustersa | 0.03 | 0.01 | 2.28 | 0.02 | 0.00 | 0.06 |
K-Means × Number of Clustersa | 0.00 | 0.02 | 0.13 | 0.90 | −0.03 | 0.03 |
Hierarchical × Number of Observationsa | 0.00 | 0.00 | −0.48 | 0.63 | −0.01 | 0.01 |
K-means × Number of Observationsa | 0.00 | 0.00 | −0.48 | 0.63 | −0.01 | 0.01 |
Hierarchical × Conditional Probabilitya | −0.02 | 0.01 | −1.98 | 0.05 | −0.04 | 0.00 |
K-Means × Conditional Probabilitya | 0.00 | 0.01 | 0.01 | 1.00 | −0.02 | 0.02 |
SD of arcs in transformed accuracy | −0.24 | 0.38 | −0.63 | 0.53 | −1.00 | 0.51 |
Notes. Each data point is the mean of 1,000 repetitions with the outcome being arcsine transformed Cramer's V. Parameters for number of observations and conditional probability are adjusted for interpretability; N refers to number of simulations run. Simulations for sample size n = 20 were not included in this analysis because these simulations did not produce interpretable results with two of the methods.
Comparison method is LCA