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pgen/pgisced11: ISCED-2011-Classification
en | de | |
---|---|---|
0 | [0] in school | [0] in school |
1 | [1] Primary education | [1] Primary education |
2 | [2] Lower secondary education | [2] Lower secondary education |
3 | [3] Upper secondary education | [3] Upper secondary education |
4 | [4] Post-secondary non-tertiary education | [4] Post-secondary non-tertiary education |
5 | [5] Short-cycle tertiary education | [5] Short-cycle tertiary education |
6 | [6] Bachelors or equivalent level | [6] Bachelor s or equivalent level |
7 | [7] Masters or equivalent level | [7] Master s or equivalent level |
8 | [8] Doctoral or equivalent level | [8] Doctoral or equivalent level |
-1 | [-1] No answer | [-1] keine Angabe |
-2 | [-2] Does not apply | [-2] trifft nicht zu |
-7 | [-7] Only available in less restricted edition | [-7] Nur in weniger eingeschränkter Edition verfügbar |
English label: ISCED-2011-Classification
German label: ISCED-2011-Klassifikation
pgen – Generated Individual Data
Analysis Unit : Individual
Dataset Type: Generated Data
Period: multiple
Attachments:
Study: SOEP-Core
The educational variable (PGISCED11) classifies all correspondents' educational degrees according to the “International Standard Classification of Education (ISCED)” of 2011 in order to make degrees internationally comparable. The variable is generated retrospectively From 2010 onwards taking into account degrees and diplomas attained in both general schooling and in vocational/university education and indicates the highest degree obtained. Note that for respondents from the newly introduced migration samples, we can differiante between university degrees (Bachelor/Master/PhD) obtained in Germany. If the university degree was obtained abroad, the degree is counted as Bachelor, because further differentiation between university degrees abroad is only possible for a subgroup of migrants.
Measure | Value |
---|---|
valid | 370707 |
invalid | 429505 |
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.