Table 6 Logistic regressions predicting...

Table 6

Logistic regressions predicting factors affecting the likelihood of respondents reporting a higher distance between formal ethics and ethics in use for scenario 6 (the middleman real estate agent misleads the seller in recommending a bank with unfavorable terms, so that the broker firm gets a kick-back)

	B	S.E.	Sig.	Odds ratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Odds ratio	Lower	Upper
Gender	0.170	0.125	0.175	1.185	0.927	1.515
Age	−0.033	0.007	<0.001***	0.968	0.954	0.981
Year in profession	−0.036	0.009	<0.001***	0.965	0.947	0.983
Local market	0.081	0.134	0.549	1.084	0.833	1.410
Number of yearly transactions	0.008	0.003	0.003***	1.008	1.003	1.013
Receiving penalty	0.135	0.198	0.495	1.145	0.776	1.689
Constant	2.090	0.313	<0.001***	8.008

	B	S.E.	Sig.	Oddsratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Oddsratio	Lower	Upper
Gender	0.170	0.125	0.175	1.185	0.927	1.515
Age	−0.033	0.007	<0.001***	0.968	0.954	0.981
Year in profession	−0.036	0.009	<0.001***	0.965	0.947	0.983
Local market	0.081	0.134	0.549	1.084	0.833	1.410
Number of yearly transactions	0.008	0.003	0.003***	1.008	1.003	1.013
Receiving penalty	0.135	0.198	0.495	1.145	0.776	1.689
Constant	2.090	0.313	<0.001***	8.008

Note(s): The dependent variable is SCEN6bin. The number of observations is 1,378 The Cox and Snell R² is 0.123; the Nagelkerke R² is 0.169. *** = Statistically significant at the 0.01 level (2-tailed)

Source(s): Authors' own work

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