Development and validation of the nurses sexual harassment scale in Iran

BMC Nursing

Table 3 General results of factor analysis with different methods

Number	Method	Rotation	Explained Variance	Kaiser-Meyer-Olkin (KMO)	Bartlett Test	Number of Dimensions	Number of Items	The number of items in each dimension	Variance of each Dimension
1	Principal Axis Factoring	Varimax	68.40	0.935	χ² = 3636.11 Df = 105,105 p < 0.0001	2	15	9	56.7
1	Principal Axis Factoring	Varimax	68.40	0.935	χ² = 3636.11 Df = 105,105 p < 0.0001	2	15	6	11.69
2	Principal Axis Factoring	Varimax	65.82	0.934	χ² = 3703.93 Df = 120 p < 0.0001	2	16	9	54.06
2	Principal Axis Factoring	Varimax	65.82	0.934	χ² = 3703.93 Df = 120 p < 0.0001	2	16	7	11.76
3	Principal Axis Factoring	Promax	67.48	0.943	χ² = 5331.79 Df = 231 p < 0.0001	3	22	10	52.26
								6	8.93
								6	6.30
4	Maximum Likelihood	Varimax	67.08	0.939	χ² = 4964.12 Df = 210 p < 0.0001	3	21	10	51.47
								6	9.88
								5	5.73
5	Maximum Likelihood	Promax	65.09	0.946	χ² = 6120.60 Df = 300 p < 0.0001	3	25	13	51.37
								6	607.8
								6	5.11
6	Principal Axis Factoring	Promax	65.59	0.948	χ² = 4629.18 Df = 153 p < 0.0001	2	18	10	58.87
6	Principal Axis Factoring	Promax	65.59	0.948	χ² = 4629.18 Df = 153 p < 0.0001	2	18	8	6.73
7	Maximum Likelihood	Promax	65.59	0.948	χ² = 4629.18 Df = 153 p < 0.0001	2	18	8	58.87
7	Maximum Likelihood	Promax	65.59	0.948	χ² = 4629.18 Df = 153 p < 0.0001	2	18	10	6.73

ISSN: 1472-6955