Table 2. Results of the Logistic Regression Analysis Predicting Phishing Suspiciousness.

Predictor	b	SE	95% CIb	z	p	OR	95% CIOR
Intercept	-5.46	4.11	[-13.51, 2.59]	-1.33	.184	0.00	[0.00, 13.37]
Main Effects
Age Group	1.31	4.78	[-8.07, 10.68]	0.27	.785	3.69	[0.00, 43655.35]
Prior Knowledge	-0.85	0.71	[-2.23, 0.54]	-1.20	.230	0.43	[0.11, 1.71]
Past Susceptibility	-0.05	0.69	[-1.41, 1.31]	-0.08	.938	0.95	[0.24, 3.69]
Lab vs. Home	1.07	0.68	[-0.26, 2.41]	1.58	.115	2.92	[0.77, 11.10]
Education	0.58*	0.27	[0.05, 1.10]	2.16	.031	1.78	[1.05, 3.01]
Sex	0.06	0.65	[-1.20, 1.33]	0.10	.922	1.06	[0.30, 3.77]
Ethnicity	-0.40	0.65	[-1.69, 0.88]	-0.62	.538	0.67	[0.19, 2.41]
Race	-0.97	0.72	[-2.39, 0.45]	-1.34	.180	0.38	[0.09, 1.56]
NAB Mazes	-0.14*	0.06	[-0.25, -0.02]	-2.33	.020	0.87	[0.78, 0.98]
NAB Judgment	0.05	0.12	[-0.19, 0.29]	0.42	.676	1.05	[0.83, 1.34]
NAB Categories	-0.01	0.04	[-0.08, 0.05]	-0.40	.687	0.99	[0.92, 1.06]
NAB Word Generation	-0.01	0.08	[-0.17, 0.15]	-0.11	.912	0.99	[0.84, 1.17]
IGT Net Total	-0.02*	0.01	[-0.05, 0.00]	-2.02	.044	0.98	[0.96, 1.00]
Interaction Effects
AG x PK	2.31*	1.12	[0.11, 4.51]	2.05	.040	10.07	[1.11, 91.17]
AG x PS	0.29	0.84	[-1.36, 1.94]	0.34	.732	1.33	[0.26, 6.94]
AG x LH	-0.99	0.82	[-2.60, 0.63]	-1.20	.231	0.37	[0.07, 1.88]
AG x Education	-0.49	0.29	[-1.06, 0.09]	-1.66	.096	0.62	[0.35, 1.09]
AG x Sex	-0.48	0.82	[-2.08, 1.13]	-0.58	.562	0.62	[0.12, 3.10]
AG x Ethnicity	1.29	1.23	[-1.11, 3.70]	1.05	.291	3.65	[0.33, 40.34]
AG x Race	1.71	1.10	[-0.45, 3.87]	1.55	.122	5.52	[0.63, 48.06]
AG x NAB Mazes	0.16*	0.07	[0.02, 0.29]	2.30	.022	1.17	[1.02, 1.34]
AG x NAB Judgment	-0.06	0.15	[-0.35, 0.23]	-0.41	.679	0.94	[0.70, 1.26]
AG x NAB Categories	0.00	0.05	[-0.09, 0.09]	0.05	.961	1.00	[0.92, 1.10]
AG x NAB Word Generation	0.09	0.10	[-0.10, 0.28]	0.89	.373	1.09	[0.90, 1.32]
AG x IGT Net Total	0.02	0.01	[-0.01, 0.05]	1.51	.131	1.02	[0.99, 1.05]

OR = Odds ratio; NAB = Neuropsychological Assessment Battery; IGT = Iowa Gambling Task; AG = Age Group; PK = Prior Knowledge; PS = Past Susceptibility; LH = Lab vs. Home. For categorical predictor variables, reference groups are younger (Age Group), no prior knowledge of phishing (Prior Knowledge), no past phishing susceptibility (Past Susceptibility), no difference between lab and home (Lab vs. Home), female (Sex), non-Hispanic (Ethnicity), and Caucasian (Race).

* p < .05.