Table 2 Logistic regressions predicting...

Table 2

Logistic regressions predicting factors affecting the likelihood of respondents reporting a distance between formal ethics and ethics in use for scenario 1 (the middleman real estate agent exaggerates potential price to get the seller to sign a sales contract)

	B	S.E.	Sig.	Odds ratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Odds ratio	Lower	Upper
Gender	0.195	0.119	0.103	1.215	0.961	1.535
Age	−0.021	0.007	0.004***	0.979	0.966	0.993
Year in profession	0.013	0.009	0.149	1.014	0.995	0.993
Local market	−0.527	0.126	<0.001***	0.591	0.461	0.756
Number of yearly transactions	0.000	0.002	0.896	1.000	0.996	1.005
Receiving penalty	0.256	0.198	0.196	1.292	0.876	1.907
Constant	1.202	0.293	<0.001	3.328

	B	S.E.	Sig.	Oddsratio	95% C.I. for odds ratio
	B	S.E.	Sig.	Oddsratio	Lower	Upper
Gender	0.195	0.119	0.103	1.215	0.961	1.535
Age	−0.021	0.007	0.004***	0.979	0.966	0.993
Year in profession	0.013	0.009	0.149	1.014	0.995	0.993
Local market	−0.527	0.126	<0.001***	0.591	0.461	0.756
Number of yearly transactions	0.000	0.002	0.896	1.000	0.996	1.005
Receiving penalty	0.256	0.198	0.196	1.292	0.876	1.907
Constant	1.202	0.293	<0.001	3.328

Note(s): The dependent variable is SCEN1bin. The number of observations is 1,296. The Cox and Snell R² is 0.023; the Nagelkerke R² is 0.031. *** = Statistically significant at the 0.01 level (2-tailed)

Source(s): Authors' own work

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