Table 2.

Repeated measures ANOVA and effect sizes for Simulation I.

Effect	Source	DF	SS	F	${\widehat{\mathrm{\eta }}}^2$
Between data sets effects	Sample Size (N)	2	1.90	141.07	*
	Number of Clusters (K)	4	83.36	3088.03	.1228
	Number of Variables (V)	2	224.60	16639.30	.3308
	Cluster Size (λk)	2	1.55	114.92	*
	Error Level (ε)	2	224.50	16631.90	.3307
	K × V	8	27.42	507.90	.0404
	K × λk	8	15.73	291.25	.0232
	K × ε	8	11.19	207.19	.0165
	Model Error	7695	51.93
Within data sets effects	Clustering Method (Method)	2	1.64	433.35	.0323
	Method × N	4	0.39	51.72	*
	Method × K	8	1.51	99.21	.0296
	Method × V	4	1.50	197.81	.0295
	Method × λk	4	1.68	221.34	.0330
	Method × ε	4	0.87	114.79	.0171
	Method × K × λk	16	4.08	134.36	.0801
	Method × K × V × λk	32	1.20	19.74	.0235
	Method × λk × ε	8	1.31	86.38	.0258
	Method × K × λk × ε	32	2.81	46.22	.0551
	Method × K × V × λk × ε	64	0.56	4.59	.0110
	Error (Method)	15390	29.19

Note – all between datasets interactions for which ${\widehat{\mathrm{\eta }}}^2$ < .01 are suppressed from the table, as are all within datasets interactions involving two or more between datasets design features. An asterisk (^*) in the ${\widehat{\mathrm{\eta }}}^2$ column indicates a between datasets main effect or within datasets two-way interaction for which ${\widehat{\mathrm{\eta }}}^2$ < .01.