Turning the tide: understanding estuarine detection range variability via structural equation models

Table 2 pSEM model output for aggregated data without Rt6

Response	Predictor	Est	SE	Crit.Value	p-value	Std.Est
Perf.	Distance	– 3.5378	0.0480	– 73.6953	<0.0001	– 0.7479
	Noise	– 1.1846	0.0413	– 28.6946	<0.0001	– 0.2504
	Tilt angle (rec)	– 0.4859	0.0173	– 28.0736	<0.0001	– 0.1027
	Tilt angle (sub)	– 0.4361	0.0178	– 24.4391	<0.0001	– 0.0922
	Water depth (sub)	0.7096	0.0282	25.1729	<0.0001	0.1500
	Wind speed	– 0.1634	0.0149	– 10.9844	<0.0001	– 0.0345
	Distance * Water depth	0.6283	0.0328	19.1276	<0.0001	0.1228
	Distance * Noise	– 0.4859	0.0437	– 11.1115	<0.0001	– 0.1090
Noise	Water speed	0.7860	0.0.0025	313.4190	<0.0001	0.7860
	Water depth	– 0.3124	0.0030	– 104.6445	<0.0001	– 0.3124
	Precipitation	0.0920	0.0024	38.8070	<0.0001	0.0920
	Wind speed	0.0145	0.0024	6.0430	<0.0001	0.0145
	Tilt angle	0.0449	0.0041	10.9782	<0.0001	0.0449
	Water depth * speed	– 0.1030	0.0023	– 44.4692	<0.0001	– 0.1057
Tilt angle	Water speed	0.1637	0.0025	66.1016	<0.0001	0.1637
	Water depth	– 0.0721	0.0031	– 23.4724	<0.0001	– 0.0721
	Wind speed	0.0416	0.0025	16.8743	<0.0001	0.0416

For the different sub-models (i.e. performance (Perf.), noise and tilt angle), for each variable, the coefficient estimates (Est), standard error (SE), critical value (Crit.Value), p-value and standardized estimates (Std.Est) are given

ISSN: 2050-3385