The data summarized in Table 23.6 (from a study by Goodwin, Schylsinger, Hermansen, Guze, & Winokur, 1973) show how “becoming a heavy smoker” is related to “having a biological parent who was diagnosed alcoholic.” Either enter these data into SPSS by hand or use the dataset goodwin.sav (available on the website for the textbook). Run a binary logistic regression to predict smoking status from parental alcohol diagnosis and write up your results, including tables that summarize all relevant whose biological parent is diagnosed with alcoholism have significantly higher odds of being heavy smokers?
parent not diagnosed with alcohol parent diagnosed with alcohol
child not a heavy smoker (y = 0) 41 6
child is a heavy smoker 37 49
The data summarized in Table 23.6 (from a study by Goodwin, Schylsinger, Hermansen, Guze, & Winokur, 1973) show how “becoming a heavy smoker” is related to “having a biological parent who was diagnosed alcoholic.” Either enter these data into SPSS by hand or use the dataset goodwin.sav (available on the website for the textbook). Run a binary logistic regression to predict smoking status from parental alcohol diagnosis and write up your results, including tables that summarize all relevant whose biological parent is diagnosed with alcoholism have significantly higher odds of being heavy smokers?
parent not diagnosed with alcohol parent diagnosed with alcohol
child not a heavy smoker (y = 0) 41 6
child is a heavy smoker 37 49
smoker |
alcohol |
freq |
0 |
0 |
41 |
0 |
1 |
6 |
1 |
0 |
37 |
1 |
1 |
49 |
we entered the table data in spss as 3 columns. We weight the data by the variable freq.
spss command:
LOGISTIC REGRESSION VARIABLES smoker
/METHOD=ENTER alcohol
/CLASSPLOT
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
SPSS output:
Model Summary |
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Step |
-2 Log likelihood |
Cox & Snell R Square |
Nagelkerke R Square |
1 |
145.833a |
.183 |
.252 |
a. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001. |
Classification Tablea |
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Observed |
Predicted |
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smoker |
Percentage Correct |
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No smoker |
smoker |
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Step 1 |
smoker |
No smoker |
41 |
6 |
87.2 |
smoker |
37 |
49 |
57.0 |
||
Overall Percentage |
67.7 |
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a. The cut value is .500 |
Variables in the Equation |
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B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
95% C.I.for EXP(B) |
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Lower |
Upper |
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Step 1a |
alcohol |
2.203 |
.488 |
20.344 |
1 |
.000 |
9.050 |
3.475 |
23.568 |
Constant |
-.103 |
.227 |
.205 |
1 |
.651 |
.902 |
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a. Variable(s) entered on step 1: alcohol. |
Odds ratio = 9.05 and p value is 0.000 which is significant.
Biological parent is diagnosed with alcoholism have significantly 9.05 times more of being heavy smokers compared to non alcohol parents.
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