https://statistics.laerd.com/spss-tutorials/binomial-logistic-regression-using-spss-statistics.php#procedure -- 頁面下方
4.12 The SPSS Logistic Regression Output
log odds is different from odds ratio
Odds Ratio is labelled as Exp (B)
if male=0 (reference category) female=1
The Exp(B) column (the Odds Ratio) shows 1.37.
Means that females are 1.37 times more likely than males (reference category, code 0) to achieve fiveem, after controlling for other independent variables.
Dichotomous (or dummy) explanatory variables
For a dichotomous explanatory variable the OR is simply the difference between the odds for the base category (x=0, male) and the other category (x=1, female). Thus in our earlier example for gender and aspirations the OR was 2.0 indicating girls (x=1) were twice as likely as boys (x=0) to aspire to continue in FTE.
OR is 2. While the OR is sufficient for meaningful interpretation, some researchers also like to express the OR in percentage terms. Subtracting 1 from the OR and multiplying by 100 gives the percentage change. Thus (2-1) *100 = a 100% increase in the odds.
If odd ratios is 1.37, females (code 1) are about 1.37 times (or 37%) more likely to achieve fiveem than males (code 0).
If OR is 1.48, (1.48-1)*100= 48 %