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bjp/bjp_166_01: [de] Es ist gut, dass der Gesetzgeber berücksichtigt, dass sich nicht alle Mensc
| en | de | |
|---|---|---|
| 1 | [1] [de] Stimme überhaupt nicht zu | [1] Stimme überhaupt nicht zu |
| 2 | [2] [de] Skala 1-7 | [2] Skala 1-7 |
| 3 | [3] [de] Skala 1-7 | [3] Skala 1-7 |
| 4 | [4] [de] Skala 1-7 | [4] Skala 1-7 |
| 5 | [5] [de] Skala 1-7 | [5] Skala 1-7 |
| 6 | [6] [de] Skala 1-7 | [6] Skala 1-7 |
| 7 | [7] [de] Stimme voll zu | [7] Stimme voll zu |
| -1 | [-1] [de] keine Angabe | [-1] keine Angabe |
| -2 | [-2] [de] trifft nicht zu | [-2] trifft nicht zu |
| -3 | [-3] [de] nicht valide | [-3] nicht valide |
| -4 | [-4] [de] Unzulaessige Mehrfachantwort | [-4] Unzulaessige Mehrfachantwort |
| -5 | [-5] [de] In Fragebogenversion nicht enthalten | [-5] In Fragebogenversion nicht enthalten |
| -6 | [-6] [de] Fragebogenversion mit geaenderter Filterfuehrung | [-6] Fragebogenversion mit geaenderter Filterfuehrung |
| -7 | [-7] Only available in less restricted edition | [-7] Nur in weniger eingeschränkter Edition verfügbar |
English label: [de] Es ist gut, dass der Gesetzgeber berücksichtigt, dass sich nicht alle Mensc
German label: Es ist gut, dass der Gesetzgeber berücksichtigt, dass sich nicht alle Menschen e
bjp – Data from individual questionnaires 2019
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2019
Study: SOEP-Core
- To what extent do you personally agree with the following statements? - It’s good that legislators take into account that not everyone can be classified as either male or female
- To what extent do you personally agree with the following statements? - It’s good that legislators take into account that not everyone can be classified as either male or female
- To what extent do you personally agree with the following statements? - It’s good that legislators take into account that not everyone can be classified as either male or female
| Measure | Value |
|---|---|
| valid | 24729 |
| invalid | 5176 |
Codes of related variables with the same concept
This table provides you with an overview of label definitions across related variables to identify changes over time in longitudinal variables. The first number indicates the value code, the second number (in brackets) represents the frequency in the data. Please note that labels are simplified and values with frequency = 0 are hidden.