| Software Output An
example using raw survey data
Adults
with less than 12 years of education
Crosstabulation:
EduCat (Rows) by
Sex (Columns)
Column
Variable Label: Respondent sex
Row
Variable Label: Education Level
Count |
Row % |
Col % |
Total % | Male |
Female | Total
----------------------------------------
<12 yrs | 3 | A 4 |
7
| 42.86 | B 57.14 |
| 11.54 | C 16.67 |
14.00
| 6.00 | D 8.00 |
----------------------------------------
HS Grad | 10 |
11 | 21
| 47.62 | 52.38 |
| 38.46 | 45.83 |
42.00
| 20.00 | 22.00 |
----------------------------------------
College | 13 |
9 | 22
| 59.09 | 40.91 |
| 50.00 | 37.50 |
44.00
| 26.00 | 18.00 |
----------------------------------------
| 26 |
24 | 50
Total | 52.00 |
48.00 | 100.00
A
Count:
There are 4
females who have less than 12 years of education.
B
Row %:
Of those who have less than
a high school education (<12 yrs), 57.14% (4/7) are female.
C
Column %:
Of those who are female, 16.67% (4/24) have less than a high school education.
D
Total %:
8% (4/50) of the sample are
females who have less than a high school education.
The
following summary table is based on column percent from the crosstabulation shown on the
previous page. Counts are from the column
marginals (Totals) for male and female.
Education
level for all subjects in the sample and by sex subgroups |
|
|
|
|
|
|
Total |
Male |
Female |
|
Observations
(n) = |
50 |
26 |
24 |
|
Education
Level (column %) |
|
|
|
|
Less
than high school |
14.0 |
11.5 |
16.7 |
|
High
School |
42.0 |
38.5 |
45.8 |
|
College |
44.0 |
50.0 |
37.5 |
|
Interpretation: There are slightly more men in this sample than
women. Using percentages to adjust for
differences in sample size, men are more likely (50%) to have a college education than
women (37.5%).
|
