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childl/cle0032: Hospitalisation of the child in the last 12 months: Days
en | de | |
---|---|---|
-1 | [-1] No answer / don't know | [-1] No answer / don't know |
-2 | [-2] Does not apply | [-2] Does not apply |
-3 | [-3] Implausible value | [-3] Implausible value |
-4 | [-4] Inadmissable multiple response | [-4] Inadmissable 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 |
No concept available.
English label: Hospitalisation of the child in the last 12 months: Days
German label: Krankenhausaufenthalt des Kindes in letzten 12 Monaten: Tage
childl – Data from integrated parents via child questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: 2022
Study: SOEP-Core
- How many days has this child spent in hospital in the past twelve months? - Days
- Has your child experienced any serious health problems in the last 12 months that have necessitated a hospital stay? - [Yes] (please specify) for ... days
- Has the child experienced any serious health problems in the last 12 months that have necessitated a hospital stay? - [Yes] (please specify) for […] days
- Has your child experienced any health problems in the last 12 months that necessitated a hospital stay? - [Yes]: (please specify) for […] days
- [de] Wie viele Tage war dieses Kind innerhalb der letzten zwölf Monate im Krankenhaus? - [de] Tage
Measure | Value |
---|---|
Min. | 1.0 |
1st Qu. | 2.0 |
Median | 4.0 |
Mean | 8.910098891219658 |
3rd Qu. | 8.0 |
Max. | 365.0 |
valid | 3337 |
invalid | 47875 |
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.