Table 3 Logistic regressions predicting...

Table 3

Logistic regressions predicting factors affecting the likelihood of respondents reporting a higher distance between formal ethics and ethics in use for scenario 2 (the middleman real estate agent misleads seller to get repeated sales)

	B	S.E.	Sig.	Odds ratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Odds ratio	Lower	Upper
Gender	0.428	0.188	0.023**	1.534	1.062	2.216
Age	0.002	0.011	0.852	1.002	0.981	1.023
Year in profession	−0.028	0.015	0.063	0.973	0.945	1.002
Local market	0.452	0.185	0.014**	1.572	1.094	2.259
Number of yearly transactions	−0.004	0.004	0.273	0.996	0.988	1.003
Received penalty	−0.052	0.318	0.871	0.950	0.509	1.772
Constant	−2.132	0.448	<0.001	0.119

	B	S.E.	Sig.	Oddsratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Oddsratio	Lower	Upper
Gender	0.428	0.188	0.023**	1.534	1.062	2.216
Age	0.002	0.011	0.852	1.002	0.981	1.023
Year in profession	−0.028	0.015	0.063	0.973	0.945	1.002
Local market	0.452	0.185	0.014**	1.572	1.094	2.259
Number of yearly transactions	−0.004	0.004	0.273	0.996	0.988	1.003
Received penalty	−0.052	0.318	0.871	0.950	0.509	1.772
Constant	−2.132	0.448	<0.001	0.119

Note(s): The dependent variable is SCEN2bin. The number of observations is 1,377. The Cox and Snell R² is 0.014; the Nagelkerke R² is 0.029. *** = Statistically significant at the 0.01 level (2-tailed)

Source(s): Authors' own work

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