The Audacious Epigone has a post up where the title says it all, Extramarital sex wrong? Gays and supporters of same sex marriage less likely to think so. But I was curious how MARHOMO, attitudes toward gay marriage, stacked up against other independent variables in relation to XMARSEX, attitudes toward extramarital sex. Here is what XMARSEX is representing:
What is your opinion about a married person having sexual relations with someone other than the marriage partner?
1 – ALWAYS WRONG
2 – ALMOST ALWAYS WRONG
3 – SOMETIMES WRONG
4 – NOT WRONG AT ALL
Here’s the logit regression from the GSS:
Logit Coefficients | Test That Each Coefficient = 0 | |||
---|---|---|---|---|
B | SE(B) | T-statistic | Probability | |
MARHOMO | -.166 | .035 | -4.706 | .000 |
SEX | -.371 | .095 | -3.905 | .000 |
RACE | .046 | .074 | .626 | .531 |
INCOME | -.079 | .021 | -3.764 | .000 |
DEGREE | .246 | .039 | 6.358 | .000 |
POLVIEWS | -.111 | .036 | -3.105 | .002 |
GOD | -.131 | .036 | -3.643 | .000 |
RELIG | -.024 | .026 | -.918 | .359 |
BIBLE | .587 | .075 | 7.821 | .000 |
CHILDS | -.098 | .033 | -2.941 | .003 |
REGION | -.072 | .018 | -3.978 | .000 |
AGE | .006 | .003 | 1.882 | .060 |
Constant | .204 | .457 | .447 | .655 |
Like my previous posts you can see attitudes about the Bible have a huge effect. Let’s look at how BIBLE and XMARSEX relate specifically:
Cells contain: -Column percent -Weighted N |
BIBLE | |||||
---|---|---|---|---|---|---|
1 WORD OF GOD |
2 INSPIRED WORD |
3 BOOK OF FABLES |
4 OTHER |
ROW TOTAL |
||
XMARSEX | 1: ALWAYS WRONG | 90.1 4,689 |
80.3 6,096 |
59.8 1,447 |
71.4 118 |
80.3 12,350 |
2: ALMOST ALWAYS WRONG | 5.2 272 |
13.3 1,009 |
23.0 556 |
17.4 29 |
12.1 1,865 |
|
3: SOMETIMES WRONG | 3.2 169 |
5.2 396 |
12.8 309 |
8.3 14 |
5.8 888 |
|
4: NOT WRONG AT ALL | 1.4 73 |
1.2 94 |
4.5 109 |
2.8 5 |
1.8 280 |
|
COL TOTAL | 100.0 5,202 |
100.0 7,595 |
100.0 2,421 |
100.0 166 |
100.0 15,383 |
your logit regression includes a lot of variables that are coded as multi-value categorical (eg REGION) or ordinal (eg DEGREE). the categorical one is a big no-no and the ordinal one is debatable. to do it right the categorical ones need to be broken into dummy sets or at least collapsed into a dummy (eg REGION could be “south” vs. else). likewise the ordinal variables should be broken into dummy sets or recoded as continuous (eg DEGREE could be approximate years of education).
thanks. i’ll try not to be so sloppy in the future!