Table 4 Logistic regressions predicting...

Table 4

Logistic regressions predicting factors affecting the likelihood of respondents reporting a higher distance between formal ethics and ethics in use for scenario 3 (the middleman real estate agent is hiding information from the buyer)

	B	S.E.	Sig.	Odds ratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Odds ratio	Lower	Upper
Gender	−0.054	0.155	0.726	0.947	0.700	1.283
Age	−0.004	0.009	0.660	0.996	0.978	1.014
Year in profession	−0.006	0.012	0.614	0.994	0.970	1.018
Local market	−0.105	0.167	0.530	0.900	0.649	1.249
Number of yearly transactions	−0.007	0.003	0.045*	0.993	0.986	1.000
Receiving penalty	0.236	0.248	0.341	1.266	0.779	2.057
Constant	−1.150	0.379	0.002	0.317

	B	S.E.	Sig.	Oddsratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Oddsratio	Lower	Upper
Gender	−0.054	0.155	0.726	0.947	0.700	1.283
Age	−0.004	0.009	0.660	0.996	0.978	1.014
Year in profession	−0.006	0.012	0.614	0.994	0.970	1.018
Local market	−0.105	0.167	0.530	0.900	0.649	1.249
Number of yearly transactions	−0.007	0.003	0.045*	0.993	0.986	1.000
Receiving penalty	0.236	0.248	0.341	1.266	0.779	2.057
Constant	−1.150	0.379	0.002	0.317

Note(s): The dependent variable is SCEN3bin. The number of observations is 1,397. The Cox and Snell R² is 0.005; the Nagelkerke R² is 0.008. *** = Statistically significant at the 0.01 level (2-tailed)

Source(s): Authors' own work

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