Dataset Open Access
Changes since the last version: in the .csv export there was a naming problem.
- `visit_concert`: This is a standard CAP variables about visiting frequencies, in numeric form.
- `fct_visit_concert`: This is a standard CAP variables about visiting frequencies, in categorical form.
- `is_visit_concert`: binary variable, 0 if the person had not visited concerts in the previous 12 months.
- `artistic_activity_played_music`: A variable of the frequency of playing music as an amateur or professional practice, in some surveys we have only a binary variable (played in the last 12 months or not) in other we have frequencies. We will convert this into a binary variable.
- `fct_artistic_activity_played_music`: The `artistic_activity_played_music` in categorical representation.
- `artistic_activity_sung`: A variable of the frequency of singing as an amateur or professional practice, like played_muisc. Because of the liturgical use of singing, and the differences of religious practices among countries and gender, this is a significantly different variable from played_music.
- `fct_artistic_activity_sung`: The `artistic_activity_sung` variable in categorical representation.
- `age_exact`: The respondent’s age as an integer number.
- `country_code`: an ISO country code
- `geo`: an ISO code that separates Germany to the former East and West Germany, and the United Kingdom to Great Britain and Northern Ireland, and Cyprus to Cyprus and the Turiksh Cypriot community.[we may leave Turkish Cyprus out for practical reasons.]
- `age_education`: This is a harmonized education proxy. Because we work with the data of more than 30 countries, education levels are difficult to harmonize, and we use the Eurobarometer standard proxy, age of leaving education. It is a specially coded variable, and we will re-code them into two variables, `age_education` and `is_student`.
- `is_student`: is a dummy variable for the special coding in age_education for “still studying”, i.e. the person does not have yet a school leaving age. It would be tempting to impute `age` in this case to `age_education`, but we will show why this is not a good strategy.
- `w`, `w1`: Post-stratification weights for the 15+ years old population of each country. Use `w1` for averages of `geo` entities treating Northern Ireland, Great Britain, the United Kingdom, the former GDR, the former West Germany, and Germany as geographical areas. Use `w` when treating the United Kingdom and Germany as one territory.
- `wex`: Projected weight variable. For weighted average values, use `w`, `w1`, for projections on the population size, i.e., use with sums, use `wex`.
- `id`: The identifier of the original survey.
- `rowid``: A new unique identifier that is unique in all harmonized surveys, i.e., remains unique in the harmonized dataset.
|All versions||This version|
|Data volume||316.9 MB||125.4 MB|