Table 2. Multinomial logistic regression...

Table 2.

Multinomial logistic regression

	Dependent variable: mode used to participate
	(Reference category: face-to-face survey)
		Online survey		Telephone survey
	Coeffi-	Wald	Coeffi-	Wald
	cients	Test	cients	Test
Cohabitation situation	−0.193	3.581+	0.046	0.216
Age	−0.015	0.111	0.105	5.632^*
Education	0.303	24.829^**	−0.027	0.204
Normal language		43.365^**		13.587^**
Catalan	0.670	0.370^**	0.372	0.432
Both equally	−0.111		0.116	0.177
(Ref: Spanish)
Nationality	−1.301	81.907^**	−0.779	0.136^**
Economic activity		^*
Employed	0.465	5.049^*	0.042	0.136
Unemployed	0.542	5.757^*	−0.101	0.193
Retired	0.202	0.858	0.110	0.213
Student	1.002	11.208^**	0.370	0.201
(Ref.: domestic work)				0.292
Constant	1.609	15.670^**	1.760	20.050
Chi square	2544.480
Pseudo R² (Negelkerke)	0.102
Scale parameter	1.083
Cases	6.230

	Dependent variable: mode used to participate
	(Reference category: face-to-face survey)
		Online survey		Telephone survey
	Coeffi-	Wald	Coeffi-	Wald
	cients	Test	cients	Test
Cohabitation situation	−0.193	3.581+	0.046	0.216
Age	−0.015	0.111	0.105	5.632^*
Education	0.303	24.829^**	−0.027	0.204
Normal language		43.365^**		13.587^**
Catalan	0.670	0.370^**	0.372	0.432
Both equally	−0.111		0.116	0.177
(Ref: Spanish)
Nationality	−1.301	81.907^**	−0.779	0.136^**
Economic activity		^*
Employed	0.465	5.049^*	0.042	0.136
Unemployed	0.542	5.757^*	−0.101	0.193
Retired	0.202	0.858	0.110	0.213
Student	1.002	11.208^**	0.370	0.201
(Ref.: domestic work)				0.292
Constant	1.609	15.670^**	1.760	20.050
Chi square	2544.480
Pseudo R² (Negelkerke)	0.102
Scale parameter	1.083
Cases	6.230

Notes:

< 0.01;

< 0.05

< 0.10

Source: based on Idescat and General Directorate of Language Policy: Enquesta d’usos lingüístics de la població

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