QUANTITATIVE METHODS IN POLITICAL SCIENCE
POL S 504  FALL 2013
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Table X: Descriptive Statistics Title Title Title Title Title (n = XXX)
Variable
mean
s.d.
Number of Children
4.8
2.9
Years of Schooling
12.5
3.5
Annual Income
16.1
8.5
113.3
26.2
6.4
1.1
Another Variable
And Another Variable
Table X: Correlations Title Title Title Title Title (n = XXX)
Number of
Children
Number of
Children
Years of
Schooling
Annual
Income
Another
Variable
And Another
Variable
Years of
Schooling
Annual
Income
Another
Variable
-.64***
-.68***
.54***
.42*
.10
-.03
.28
-.17
.33
*p < .05, **p<.01, ***p<.001
.49**
And Another
Variable
Table X: Ordinary Least Squares Regression Model Estimating Effects of
Whatever on Dependent Variable (n = XXX)
Variable
β
B
SE B
Constant
11.39
1.17
Schooling
-0.32
0.11
-.39*
Income
-0.16
0.04
-.47**
Another Variable
1.31
0.23
.21
Yet Another Variable
0.35
0.10
.58***
R2 = .55
F = 23.95***
*p < .05, **p<.01, ***p<.001
Table X: Logistic Regression Model Estimating Effects of Whatever on Value 1 of
the Dependent Variable (n = XXX)
Variable
B
SE
p Value
OR
95% C.I.
Schooling
0.39
0.48
.423
1.47
0.57 – 3.80
Income
0.16
0.37
.662
1.18
0.57 – 2.43
Another Variable
0.40
0.42
.341
1.49
0.66 – 3.35
Yet Another Variable
1.17
0.50
.019
3.21
1.21 – 8.51
(Constant)
-2.06
0.74
.005
Model χ2 = 38.734, df = 4, p < .001
Table X: Hierarchical Ordinary Least Squares Regression Models Estimating Effects of Whatever on
Dependent Variable (n = XXX)
Model 1
Variables
Schooling
B
0.60
SE
0.14
Income
Another Variable
Model 2
β
.290***
B
SE
159.70
B
SE
.142***
0.23
0.10
.112***
41.20
3.90
.606***
35.00
3.30
.515***
-28.90
22.60
-.072***
25.60
19.60
.064***
12.80
13.70
.048***
-2213.10
234.70
-.491***
2876.40
891.90
2989.30
417.20
F
17.22***
51.65***
66.53***
Adjusted R2
.079***
.447***
.635***
.368***
.188***
Change in Adjusted R2
*p < .05, **p<.01, ***p<.001
β
0.12
One More Variable
4316.80
β
0.29
Yet Another Variable
(Constant)
Model 3
Table X: Hierarchical Logistic Regression Models Estimating Effects of Whatever on Value 1 of the
Dependent Variable (n = XXX)
Model 1
Variables
B
SE
OR
Schooling
0.10
0.05
1.10***
Income
2.17
0.72
Model 2
95% C.I.
B
(0.99 - 1.22)
0.26
0.11
1.30***
(1.05 - 1.60)
8.75*** (2.12 - 36.09)
1.9
0.78
6.66***
(1.44 - 30.66)
Another Variable
0.18
0.11
1.19***
(0.97 - 1.47)
Yet Another Variable
0.38
0.19
1.46***
(1.02 - 2.10)
-0.33
0.18
0.72***
(0.51 - 1.02)
-30.74
13.68
One More Variable
(Constant)
Model χ 2
-2 Log Likelihood
Likelihood Ratio Test
*p < .05, **p<.01, ***p<.001
-5.75
2.46
SE
OR
16.750***
22.921***
47.351
41.183
χ² (df = 3) = 6.168, p = 0.104
95% C.I.