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bgpgen/mps92_16: Last reached MPS value (Magnitude Prestige Scale, KldB 92 based)
| en | de | |
|---|---|---|
| -1 | [-1] No answer | [-1] No answer |
| -2 | [-2] Does not apply | [-2] Does not apply |
| -3 | [-3] Answer improbable | [-3] Answer improbable |
| -4 | [-4] Inadmissible multiple response | [-4] Inadmissible multiple response |
| -5 | [-5] Not included in this version of the questionnaire | [-5] Not included in this version of the questionnaire |
| -6 | [-6] Version of questionnaire with modified filtering | [-6] Version of questionnaire with modified filtering |
| -7 | [-7] Only available in less restricted edition | [-7] Only available in less restricted edition |
| -8 | [-8] Question not part of the survey program this year | [-8] Question not part of the survey program this year |
English label: Last reached MPS value (Magnitude Prestige Scale, KldB 92 based)
German label: letzter erreichter MPS-Wert (Magnitude-Prestige-Skale, Wegener, mit KldB 92)
bgpgen – Generated individual data 2016
Analysis Unit : Individual
Dataset Type: Generated Data
Period: 2016
Study: SOEP-Core
This variable gives the occupational prestige score developed by Wegener (1988) for all employed persons. Like the SIOPS prestige sore, Wegener's prestige scala measures a person's occupational prestige and was developed especially for use in Germany. MPS is assigned based on the German Federal Statistical Office's occupational classification of 1992 (KldB 92). The procedure has been documented in Frietsch and Wirth (2001).
Also available: occupational prestige scores (SIOPS, ISEI) and occupational class (EGP).
| Measure | Value |
|---|---|
| Min. | 30.0 |
| 1st Qu. | 42.85000038146973 |
| Median | 60.400001525878906 |
| Mean | 63.876094818115234 |
| 3rd Qu. | 78.0 |
| Max. | 216.0 |
| valid | 19743 |
| invalid | 10127 |
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.