TABLE 4.

Multilevel linear regressions for preference and difficulty scorings with crossed-random effects for police only sample.

Models	β	SE	Odds ratio [exp(β)]	p
(1) Situational awareness (N = 560)
Constant	4.688	25.970	108.603	0.857
Need for closure score (NFC)	–0.023	0.305	0.978	0.941
Maximization score (MAX)	0.023	0.146	1.023	0.876
Military scenario (yes = 1)	2.977	3.124	19.633	0.341
Gender (male = 1)	–10.142	4.595	$3.940\text{*}10{}^{-}{}^5$	0.027*
Age	–0.081	0.820	0.922	0.922
Police experience (years)	1.109	0.728	3.033	0.128
(2) Choice time (N = 560)
Constant	11.561	18.407	1.049*105	0.530
Need for closure score (NFC)	–0.138	0.214	0.871	0.518
Maximization score (MAX)	0.016	0.102	1.016	0.877
Military scenario (yes = 1)	3.612	4.445	37.033	0.416
Gender (male = 1)	–1.133	3.219	0.322	0.725
Age	0.208	0.574	1.231	0.718
Police experience (years)	–0.507	0.510	0.602	0.320
(3) Decision time (N = 560)
Constant	20.646	21.063	9.253*108	0.327
Need for closure score (NFC)	–0.265	0.238	0.767	0.265
Maximization score (MAX)	0.047	0.114	1.048	0.677
Military scenario (yes = 1)	3.894	8.175	49.098	0.634
Gender (male = 1)	–0.194	3.575	0.824	0.957
Age	0.256	0.638	1.292	0.688
Police experience (years)	–0.811	0.566	4.443	0.152
(4) Commitment time (N = 560)
Constant	9.085	9.638	8818.050	0.346
Need for closure score (NFC)	–0.127	0.108	0.881	0.241
Maximization score (MAX)	0.032	0.052	1.032	0.541
Military scenario (yes = 1)	0.282	3.962	1.326	0.943
Gender (male = 1)	0.939	1.625	2.557	0.563
Age	0.048	0.290	1.050	0.867
Police experience (years)	–0.304	0.257	0.738	0.237
(5) Decision difficulty score (N = 560)
Constant	15.157	4.244	3.825*106	0.000
Need for closure score (NFC)	–0.072	0.050	0.931	0.150
Maximization score (MAX)	0.099	0.024	1.104	0.000***
Military scenario (yes = 1)	0.891	0.407	2.438	0.029*
Gender (male = 1)	–0.108	0.752	0.898	0.886
Age	0.010	0.134	1.101	0.940
Police experience (years)	–0.038	0.119	0.963	0.752
(6) Avoidance score (N = 560)
Constant	6.311	0.825	550.351	0.000
Need for closure score (NFC)	–0.019	0.011	0.981	0.087
Maximization score (MAX)	0.004	0.005	1.004	0.472
Military scenario (yes = 1)	$9.053\text{*}10{}^{-}{}^{15}$	$1.018\text{*}10{}^{-}{}^7$	1.000	0.999
Gender (male = 1)	–0.206	0.164	0.814	0.210
Age	0.003	0.026	1.003	0.907
Police experience (years)	–0.090	0.025	0.914	0.000***

*p < 0.05, ***p < 0.001. A series of models were also run examining interaction effects between Maximization scores and scenario type on each of the outcome variables, but there was no evidence to suggest that there was a significant interaction.