. 2020 Jul 22;11:1817. doi: 10.3389/fpsyg.2020.01817

TABLE 2.

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

Models	β	SE	Odds ratio [exp(β)]	p
(1) Situational awareness (N = 960)
Constant	14.859	12.612	2.840*10⁶	0.239
Need for closure score (NFC)	0.218	0.202	1.243	0.281
Maximization score (MAX)	0.010	0.113	1.010	0.931
Military scenario (yes = 1)	6.584	3.669	723.556	0.073
Type (ref = police only)
Military experience (yes = 1)	12.456	4.218	2.568*10⁵	0.003**
Gender (male = 1)	–8.517	4.034	$2.001 * 10 {}^{-}{^{4}}$	0.035*
Age	–0.131	0.391	0.877	0.738
Police experience (years)	0.550	0.382	1.734	0.149
(2) Choice time (N = 960)
Constant	6.138	6.841	462.902	0.370
Need for closure score (NFC)	–0.039	0.108	0.962	0.718
Maximization score (MAX)	0.023	0.060	1.023	0.703
Military scenario (yes = 1)	1.724	2.649	5.605	0.515
Type (ref = police only)
Military experience (yes = 1)	–6.010	2.247	0.002	0.007**
Gender (male = 1)	–1.260	2.149	0.284	0.557
Age	0.221	0.208	1.247	0.290
Police experience (years)	–0.205	0.203	0.814	0.312
(3) Decision time (N = 960)
Constant	10.146	8.575	2.550*10⁴	0.237
Need for closure score (NFC)	–0.098	0.125	0.906	0.431
Maximization score (MAX)	0.073	0.070	1.076	0.296
Military scenario (yes = 1)	1.795	5.157	6.018	0.728
Type (ref = police only)
Military experience (yes = 1)	–10.011	2.610	$4.492 * 10 {}^{-}{^{5}}$	0.000***
Gender (male = 1)	–0.256	2.496	0.774	0.918
Age	0.307	0.242	1.360	0.204
Police experience (years)	–0.335	0.236	0.715	0.156
(4) Commitment time (N = 960)
Constant	4.009	4.151	55.079	0.334
Need for closure score (NFC)	–0.060	0.059	0.942	0.309
Maximization score (MAX)	0.050	0.033	1.051	0.127
Military scenario (yes = 1)	0.071	2.740	1.074	0.979
Type (ref = police only)
Military experience (yes = 1)	–4.001	1.224	0.018	0.001***
Gender (male = 1)	1.005	1.171	2.731	0.391
Age	0.087	0.114	1.091	0.444
Police experience (years)	–0.130	0.111	0.878	0.242
(5) Decision difficulty score (N = 960)
Constant	10.719	2.719	4.520*10⁴	0.000
Need for closure score (NFC)	–0.039	0.044	0.962	0.379
Maximization score (MAX)	0.070	0.025	1.072	0.005**
Military scenario (yes = 1)	1.445	0.428	4.240	0.001***
Type (ref = police only)
Military experience (yes = 1)	–0.486	0.925	0.615	0.599
Gender (male = 1)	–0.658	0.884	0.518	0.457
Age	0.157	0.086	1.170	0.068
Police experience (years)	–0.136	0.084	0.873	0.103
(6) Avoidance score (N = 960)
Constant	4.973	0.319	144.489	0.000
Need for closure score (NFC)	0.008	0.006	1.008	0.191
Maximization score (MAX)	–0.001	0.004	0.999	0.763
Military scenario (yes = 1)	$6.717 * 10 {}^{-}{^{15}}$	$3.888 * 10 {}^{-}{^{8}}$	1.000	0.999
Type (ref = police only)
Military experience (yes = 1)	0.015	0.132	1.015	0.908
Gender (male = 1)	–0.101	0.128	0.904	0.433
Age	–0.006	0.010	0.994	0.540
Police experience (years)	–0.008	0.011	0.992	0.427

*p < 0.05, **p < 0.01, ***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.