Table 3. ANOVA’s Partial eta squared effect sizes.

VSS = Very Simple Structure; BIC = Bayesian Information Criteria; EBIC = Extended Bayesian Information Criteria; MAP = Minimum Average Partial procedure; Kaiser = Kaiser-Guttman eigenvalue greater than one rule; PA = Parallel Analysis; EGA = Exploratory Graph Analysis. In bold and underlined are the large effect sizes [61].

	VSS	MAP	BIC	EBIC	Kaiser	PA	EGA
Correlation	0.21	0.22	0.42	0.32	0.61	0.44	0.12
Sample Size	0.03	0.00	0.31	0.45	0.10	0.17	0.18
Items per Factor	0.02	0.13	0.28	0.19	0.42	0.22	0.02
Number of Factors	0.20	0.47	0.27	0.44	0.08	0.25	0.04
Correlation X Sample Size	0.05	0.01	0.14	0.05	0.07	0.12	0.08
Correlation X Items per Factor	0.07	0.15	0.21	0.17	0.51	0.25	0.03
Sample Size X Items per Factor	0.02	0.00	0.00	0.01	0.02	0.01	0.01
Correlation X Number of Factors	0.05	0.03	0.16	0.19	0.06	0.36	0.05
Sample Size X Number of Factors	0.15	0.01	0.00	0.30	0.10	0.03	0.03
Items per Factor X Number of Factors	0.06	0.08	0.22	0.12	0.00	0.14	0.03
Correlation X Sample Size X Items per Factor	0.01	0.01	0.05	0.08	0.13	0.12	0.03
Correlation X Sample Size X Number of Factors	0.02	0.01	0.12	0.11	0.06	0.04	0.03
Correlation X Items per Factor X Number of Factors	0.08	0.05	0.17	0.08	0.07	0.19	0.05
Sample Size X Items per Factor X Number of Factors	0.05	0.00	0.02	0.04	0.01	0.02	0.02
Correlation X Sample Size X Items per Factor X Number of Factors	0.01	0.00	0.06	0.19	0.05	0.16	0.03