Table 4 Discriminant analysis Model 1:... | Emerald Publishing

Table 4

Discriminant analysis

	Model 1: Metric distance classification						Model 2: Metric distance classification with tie adjustment
Mean (SD)							Mean (SD)
Independent-variables	High	Clan	Low	Discriminant load-function I	F-value	Sheffe's test (p < 0.05)	High	High-clan	Discriminant load-function I	F-value	Differences
Experience-role	3.90 (4.23)	4.78 (5.10)	5.16 (6.86)	−0.38	1.13	None	4.06 (4.50)	4.05 (4.41)	−0.17	0.00	None
Marketing-experience	11.23 (7.07)	10.36 (6.59)	8.58 (6.57)	0.24	1.40	None	11.47 (6.86)	9.73 (7.03)	0.28	3.94	High ≠ High-Clan
Satisfaction	6.28 (0.87)	5.34 (1.53)	5.26 (1.69)	0.48	18.84	High ≠ Low and Clan	6.37 (0.83)	5.73 (1.18)	0.41	24.78	High ≠ High-Clan
Motivation	6.25 (1.13)	5.09 (1.85)	4.84 (2.14)	0.57	19.41	High ≠ Low and Clan	6.39 (0.99)	5.49 (1.47)	0.65	30.70	High ≠ High-Clan

	Model 1: Metric distance classification						Model 2: Metric distance classification with tie adjustment
Mean (SD)							Mean (SD)
Independent-variables	High	Clan	Low	Discriminant load-function I	F-value	Sheffe's test (p < 0.05)	High	High-clan	Discriminant load-function I	F-value	Differences
Experience-role	3.90 (4.23)	4.78 (5.10)	5.16 (6.86)	−0.38	1.13	None	4.06 (4.50)	4.05 (4.41)	−0.17	0.00	None
Marketing-experience	11.23 (7.07)	10.36 (6.59)	8.58 (6.57)	0.24	1.40	None	11.47 (6.86)	9.73 (7.03)	0.28	3.94	High ≠ High-Clan
Satisfaction	6.28 (0.87)	5.34 (1.53)	5.26 (1.69)	0.48	18.84	High ≠ Low and Clan	6.37 (0.83)	5.73 (1.18)	0.41	24.78	High ≠ High-Clan
Motivation	6.25 (1.13)	5.09 (1.85)	4.84 (2.14)	0.57	19.41	High ≠ Low and Clan	6.39 (0.99)	5.49 (1.47)	0.65	30.70	High ≠ High-Clan

	Multivariate-summary					Multivariate-summary
	Wilk's lambda	Chi-squared	% variance	Canonical-correlation		Wilk's lambda	Chi-squared	% variance	Canonical-correlation
Function-1	0.82 **	50.77 **	98.0	0.42	Function 1	0.88 **	30.21 **	100.0	0.37
Function-2	0.99	1.14	2.0	0.07	**p < 0.05

	Multivariate-summary					Multivariate-summary
	Wilk's lambda	Chi-squared	% variance	Canonical-correlation		Wilk's lambda	Chi-squared	% variance	Canonical-correlation
Function-1	0.82 **	50.77 **	98.0	0.42	Function 1	0.88 **	30.21 **	100.0	0.37
Function-2	0.99	1.14	2.0	0.07	**p < 0.05

Source(s): Table by authors