Table 3 Sensitivity analysis... | Emerald Publishing

Table 3

Sensitivity analysis

LogitDISTRESS = α + β₁GENDER_COM+ β₂GENDER_DIR+ β₃GENDER_AUDIT + ε
Industry type	I		II		III		IV
	Coef	Odds	Coef	Odds	Coef	Odds	Coef	Odds
GENDER_COM	−2.693	0.067	−1.135	0.321	−3.070	0.046	−1.315	0.268
GENDER_COM	−2.16**		−1.88*		−2.75***		−2.20**
GENDER_DIR	−1.990	0.136	0.177	1.194	0.815	2.261	−0.409	0.662
GENDER_DIR	−1.52		0.24		0.84		−0.72
GENDER_AUDIT	0.492	1.050	−0.978	0.275	−0.583	0.558	0.341	1.407
GENDER_AUDIT	−0.14		−0.84		−0.53		0.48
Constant	1.297	3.660	−0.045	0.955	0.618	1.856	−0.225	0.798
Constant	2.79***		−0.22		2.41**		1.53
Log likelihood	−22.914	−18.959	−81.778	−79.047	−58.771	−49.982	−152.560	−148.86
LR χ²	7.91**		5.45		12.15***		7.39*
Pseudo R2	0.172		0.03		0.10		0.10
Number of Obs		36	119		87		225

LogitDISTRESS = α + β₁GENDER_COM+ β₂GENDER_DIR+ β₃GENDER_AUDIT + ε
Industry type	I		II		III		IV
	Coef	Odds	Coef	Odds	Coef	Odds	Coef	Odds
GENDER_COM	−2.693	0.067	−1.135	0.321	−3.070	0.046	−1.315	0.268
GENDER_COM	−2.16**		−1.88*		−2.75***		−2.20**
GENDER_DIR	−1.990	0.136	0.177	1.194	0.815	2.261	−0.409	0.662
GENDER_DIR	−1.52		0.24		0.84		−0.72
GENDER_AUDIT	0.492	1.050	−0.978	0.275	−0.583	0.558	0.341	1.407
GENDER_AUDIT	−0.14		−0.84		−0.53		0.48
Constant	1.297	3.660	−0.045	0.955	0.618	1.856	−0.225	0.798
Constant	2.79***		−0.22		2.41**		1.53
Log likelihood	−22.914	−18.959	−81.778	−79.047	−58.771	−49.982	−152.560	−148.86
LR χ²	7.91**		5.45		12.15***		7.39*
Pseudo R2	0.172		0.03		0.10		0.10
Number of Obs		36	119		87		225

Note(s):

Industry Type I = Primary Sector

Industry Type II = Secondary Sector

Industry Type III = Tertiary Sector (Financial Services)

Industry Type IV = Tertiary Sector (Non-Financial Services)

***0.01, ***0.05, *0.10

Source(s): Authors own work

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