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plueckel/gl0073: Degree Recognized in Germany
en | de | |
---|---|---|
1 | [1] [de] Ja, von vornherein anerkannt | [1] Ja, von vornherein anerkannt |
-1 | [-1] No answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-3 | [-3] Implausible value | [-3] unplausibler Wert |
-4 | [-4] Inadmissable multiple response | [-4] unzulaessige 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 geaenderter Filterfuehrung |
-7 | [-7] Only available in less restricted edition | [-7] nur in weniger eingeschraenkter Edition verfuegbar |
-8 | [-8] Question this year not part of survey | [-8] Frage in diesem Jahr nicht Teil des Frageprogramms |
English label: Degree Recognized in Germany
German label: Abschluss in Deutschland anerkannt
plueckel – Data from the individual catch-up questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
- Did you obtain this degree / certificate / diploma in Germany or in another country? - Is this degree / certificate / diploma recognized in Germany?
- Did you obtain this degree / certificate / diploma in Germany or in another country? - Is this degree / certificate / diploma recognized in Germany?
- Did you obtain this degree / certificate / diploma in Germany or in another country? - Is this degree / certificate / diploma recognized in Germany?
- Did you obtain this degree / certificate / diploma in Germany or in another country? - Is this degree / certificate / diploma recognized in Germany?
- Did you obtain this degree / certificate / diploma in Germany or in another country? - Is this degree / certificate / diploma recognized in Germany?
Measure | Value |
---|---|
valid | 3 |
invalid | 14641 |
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.