Table 3
Table 3 lists exactly how the three variables are operationally defined.
It shows the distribution of responses for each category within the variables.
Note that the variable “gender” is added to the analysis.
|
Between-Subjects
Factors |
|||
|
|
Value Label |
N |
|
|
MAGEGRP |
1 |
0-4 |
1399 |
|
2 |
5-14 |
1538 |
|
|
3 |
15-17 |
403 |
|
|
4 |
18-24 |
1467 |
|
|
5 |
25-34 |
3007 |
|
|
6 |
35-44 |
3094 |
|
|
7 |
45-64 |
5682 |
|
|
8 |
65+ |
4407 |
|
|
Q17 OVERALL
HEALTH STATUS |
1 |
POOR |
1209 |
|
2 |
FAIR |
3459 |
|
|
3 |
GOOD |
6832 |
|
|
4 |
VERYGOOD |
6257 |
|
|
5 |
EXCELLENT |
3240 |
|
|
MGENDER |
1 |
F |
10747 |
|
2 |
M |
10250 |
|
Table 4
|
Tests
of Between-Subjects Effects |
|||||
|
Source |
Type III Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
Corrected
Model |
1359.297(a) |
79 |
17.206 |
20.324 |
.000 |
|
Intercept |
102310.524 |
1 |
102310.524 |
120846.923 |
.000 |
|
MAGEGRP |
602.207 |
7 |
86.030 |
101.616 |
.000 |
|
Q17 |
163.252 |
4 |
40.813 |
48.208 |
.000 |
|
MGENDER |
1.665 |
1 |
1.665 |
1.967 |
.161 |
|
MAGEGRP *
Q17 |
69.301 |
28 |
2.475 |
2.923 |
.000 |
|
MAGEGRP *
MGENDER |
8.101 |
7 |
1.157 |
1.367 |
.214 |
|
Q17 *
MGENDER |
2.327 |
4 |
.582 |
.687 |
.601 |
|
MAGEGRP *
Q17 * MGENDER |
27.281 |
28 |
.974 |
1.151 |
.266 |
|
Error |
17708.595 |
20917 |
.847 |
|
|
|
Total |
402116.000 |
20997 |
|
|
|
|
Corrected
Total |
19067.892 |
20996 |
|
|
|
|
a R Squared = .071 (Adjusted R Squared = .068) |
|||||
Table 4 lists very significant F ratios (p < .001) for age group and perception of health status (Q17) as related to overall satisfaction with care received. Observe that gender (in this study) does not significantly determine level of satisfaction with care received (F = 1.96, and p = .161).