A.A.A

2008-10-02 18:17:33 UTC

Hi,

In the spss multinomial logistic regression output i noticed that the

output looks as follows(MY EXPLANATORY VARIABLES ARE BINARY VARIABLES

CODED AS ZERO OR ONE):

Parameter Estimates

V14(a) B

2 Intercept -1.792

[@1=0] -19.627

[@1=1] 0(c)

[@2=0] 2.485

[@2=1] 0(c)

3 Intercept -19.632

[@1=0] 18.785

[@1=1] 0(c)

[@2=0] -18.703

[@2=1] 0(c)

a The reference category is: 1.

b Floating point overflow occurred while computing this statistic. Its

value is therefore set to system missing.

c This parameter is set to zero because it is redundant.

Does this mean the the resulting parameters correspond to the value

zero of the explanatory variable not 1

"Is the value "1" of the explanatory variable set as a reference?Can

this be changed to make the zero the reference?"

Thanks

A.A.A

In the spss multinomial logistic regression output i noticed that the

output looks as follows(MY EXPLANATORY VARIABLES ARE BINARY VARIABLES

CODED AS ZERO OR ONE):

Parameter Estimates

V14(a) B

2 Intercept -1.792

[@1=0] -19.627

[@1=1] 0(c)

[@2=0] 2.485

[@2=1] 0(c)

3 Intercept -19.632

[@1=0] 18.785

[@1=1] 0(c)

[@2=0] -18.703

[@2=1] 0(c)

a The reference category is: 1.

b Floating point overflow occurred while computing this statistic. Its

value is therefore set to system missing.

c This parameter is set to zero because it is redundant.

Does this mean the the resulting parameters correspond to the value

zero of the explanatory variable not 1

"Is the value "1" of the explanatory variable set as a reference?Can

this be changed to make the zero the reference?"

Thanks

A.A.A