The work status variable indicates the employment statuses of respondents and, as Figure 1 shows, those in full time employment constitute more than half (50.7%) of the weighted sample. Retired people are the second largest group and approach a quarter (23.6%) of respondents. This variable has fewer categories than education level so requires less simplification. Nevertheless, the two part time work categories can be combined (not least because of the small number of respondents in the ‘Part time (under 8 hours a week)’ group) whilst the respondents in the ‘Other’ category need to be coded as missing, leaving 1,388 cases. The recoded variable is graphed in Figure 2, beneath which are details of both the original and recoded variables.
| Variable name | back_workstat |
| Number of cases | 1,405 |
| Number of categories | 8 |
| Categories to code as missing | ‘Other’ |
| Cases to code as missing | 17 |
| Recoded variable name | back_workstat_rmv |
| Number of cases | 1,388 |
| Number of categories | 6 |
| New and old categories | ‘Full time ‘ = ‘Full time (30+ hours a week)’ ‘Part time’ = ‘Part time (8-29 hours a week)’ + ‘Part time (under 8 hours a week)’ ‘Student’ = ‘Full time student’ ‘Retired’ = ‘Retired’ ‘Unemployed’ = ‘Unemployed’ ‘Not working’ = ‘Not working’ Missing = ‘Other’ |
Privilege and Participation 