Hypothesis: A higher proportion of women have a paid job.

fre gndr.
RECODE gndr (1=0)(2=1) INTO gndr_dummy.
VARIABLE LABELS gndr_dummy ‘Gender dummy’.
VALUE LABELS gndr_dummy 0’Male’ 1’Female’.
fre gndr gndr_dummy.

fre pdjobev.
RECODE pdjobev (1=1)(2=0) INTO pdjobev_dummy.
VARIABLE LABELS pdjobev_dummy ‘Ever had a paid job dummy variable’.
VALUE LABELS pdjobev_dummy 0’No’ 1’Yes’.
fre pdjobev pdjobev_dummy.

LOGISTIC REGRESSION pdjobev_dummy WITH gndr_dummy.

1-Yes
0-No
0-Male
1-Female

b0: the log odds for category 1 of the dependent variable when the independent variable’s category is 0

b0: the log odds for having a paid job among men are 1.431.

b1: how much larger or smaller the log odds become as the independent variable increases by 1 unit.

b1: the log odds of having a paid job among women is by 0.113 higher than among men.

b0+b1: the log odds for category 1 of the dependent variable when the independent variable’s category is 1.

b0+b1: the log odds of having a paid job among women are (b0+b1=1.431+0,113)

Exp(b1): the odds of having a paid job among women are 1.120 times as high as among men.

Exp(b1): the odds of having a paid job among men are 4.182.

Exp(b0+b1)=Exp(b0)*Exp(b1)= The odds of having a paid job among women are (4,182*1,120).

Conclusion: The results refute the hypothesis stating that”a higher proportion of women have a paid job” (p>0,05). We don’t have evidence for concluding this.

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