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ANNEX 3 RESULTS OF MULTIVARIATE
ANALYSES
The logistic regression model commented on in this
report is presented below. Logistic regression uses binary
dependent variables where the value of interest is coded 1
and the rest of the cases are coded 0. The binary dependent
variable coding is shown at start of the table. This
analysis method compares the parameter estimates for each
category within a variable to a "reference" category. The
reference category for each variable is shown in brackets.
Two asterisks (**) denote significance at the 1% level, one
(*) denotes significance at the 5% level.
Table 1 Negative attitudes towards young
people
Dependent variable coding:
1= Most negative attitudes towards
young people, 0=or not | Odds Ratio (Exp (B)) | 95% Confidence Intervals for Exp (B) |
|---|
| | Lower | Upper |
|---|
SIMD (Least
deprived) |
|---|
2 | 0.920 | 0.610 | 1.388 |
|---|
3 | 1.388 | 0.946 | 2.038 |
|---|
4 | 1.504* | 1.019 | 2.221 |
|---|
Most deprived | 2.44** | 1.682 | 3.542 |
|---|
Educational attainment (Degree/
FE) |
|---|
Highers/ A'Level | 1.611* | 1.109 | 2.342 |
|---|
Standard grade/
GCSE | 2.009** | 1.437 | 2.808 |
|---|
None | 2.604** | 1.795 | 3.777 |
|---|
Age (18-24) |
|---|
25-34 | 1.110 | 0.696 | 1.769 |
|---|
35-44 | 0.855 | 0.547 | 1.338 |
|---|
45-54 | 0.612* | 0.381 | 0.985 |
|---|
55-64 | 0.613* | 0.378 | 0.993 |
|---|
65+ | 0.492** | 0.302 | 0.800 |
|---|
Contact with 11-24 year olds in
local area (knows most well enough to speak
too) |
|---|
Knows some | 1.483 | 0.965 | 2.277 |
|---|
Does not know any | 1.998** | 1.260 | 3.166 |
|---|
Number of cases in model: 1451
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