Table 6 Robust linear mixed-effects... | Emerald Publishing

Table 6

Robust linear mixed-effects models predicting human pick time of products located at the same stopping node

	Dependent variable: Human pick time at same stopping node (Tukey transformation, $λ = 0.675$ ⁠)
	Scenarios model (M2a,iii)		Behavioral model (M2b,iii)		Interaction model (M2c,iii)
Independent variable	Estimate	Std. error	Estimate	Std. error	Estimate	Std. error
Constant	4.513	0.339	5.098	0.593	5.523	0.710
Base performance: Medium	−0.641	0.140	−0.674	0.138	−0.672	0.138
Base performance: High	−0.938	0.136	−0.949	0.132	−0.951	0.132
Order picking experience	0.021	0.011	0.022	0.011	0.023	0.011
Scenario sequence	−0.118	0.113	−0.105	0.110	−0.105	0.110
Progress (square root of pick timestamp)	−0.040	0.005	−0.040	0.005	−0.040	0.005
Scenario: Human leading	−0.066	0.085	−0.070	0.085	−0.877	0.745
Prevention focus			−0.137	0.114	−0.237	0.147
(Scenario: Human leading) * (Prevention focus)					0.190	0.174
Number of subjects	60		60		60
Number of stopping nodes	10		10		10
Number of picks	1,165		1,165		1,165

	Dependent variable: Human pick time at same stopping node (Tukey transformation, $λ = 0.675$ )
	Scenarios model (M2a,iii)		Behavioral model (M2b,iii)		Interaction model (M2c,iii)
Independent variable	Estimate	Std. error	Estimate	Std. error	Estimate	Std. error
Constant	4.513	0.339	5.098	0.593	5.523	0.710
Base performance: Medium	−0.641	0.140	−0.674	0.138	−0.672	0.138
Base performance: High	−0.938	0.136	−0.949	0.132	−0.951	0.132
Order picking experience	0.021	0.011	0.022	0.011	0.023	0.011
Scenario sequence	−0.118	0.113	−0.105	0.110	−0.105	0.110
Progress (square root of pick timestamp)	−0.040	0.005	−0.040	0.005	−0.040	0.005
Scenario: Human leading	−0.066	0.085	−0.070	0.085	−0.877	0.745
Prevention focus			−0.137	0.114	−0.237	0.147
(Scenario: Human leading) * (Prevention focus)					0.190	0.174
Number of subjects	60		60		60
Number of stopping nodes	10		10		10
Number of picks	1,165		1,165		1,165

Note(s): Italic type = significant at p < 0.05