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blp/blp_49: Training/education required for current position
| en | de | |
|---|---|---|
| 1 | [1] No completed vocational training is required | [1] Kein Ausbildungsabschluss erforderlich |
| 2 | [2] Completed vocational training | [2] Abgeschlossene Berufsausbildung |
| 3 | [3] Degree from a technical college (Fachhochschule) | [3] Abgeschlossenes Fachhochschulstudium |
| 4 | [4] Degree from a university or other institution of higher education | [4] Abgeschlossenes Universitaets-/HS-Studium |
| -1 | [-1] No answer / don’t know | [-1] keine Angabe/weiß nicht |
| -2 | [-2] Does not apply | [-2] trifft nicht zu |
| -3 | [-3] Implausible value | [-3] unplausibler Wert |
| -4 | [-4] Inadmissable multiple response | [-4] unzulässige Mehrfachantwort |
| -5 | [-5] Not included in this version of the questionnaire | [-5] in Fragebogenversion nicht enthalten |
| -6 | [-6] Version of questionnaire with modified filtering | [-6] Fragebogenversion mit geänderter Filterführung |
| -7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschränkter Edition verfügbar |
| -8 | [-8] Question not part of the survey program this year | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: Training/education required for current position
German label: Benötigte Ausbildung
blp – Data from individual questionnaires 2021
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2021
Study: SOEP-Core
- What kind of training is usually required in Germany for this kind of employment?
- What type of education or training is usually required for this type of work?
- What type of education or training is usually required for this type of work?
- What type of education or training is usually required for this type of work?
- What kind of training is usually required in Germany for this kind of employment?
| Measure | Value |
|---|---|
| valid | 3033 |
| invalid | 17368 |
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.