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pl/pli0007_h: [de] Beruf, Lehre, Nebenerw.Std., Sonntag [harmonisiert]
| en | de | |
|---|---|---|
| -1 | [-1] No answer | [-1] No answer |
| -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 this year not part of survey | [-8] Question this year not part of survey |
English label: [de] Beruf, Lehre, Nebenerw.Std., Sonntag [harmonisiert]
German label: Beruf, Lehre, Nebenerw.Std., Sonntag [harmonisiert]
pl – Data from individual questionnaires (long)
Analysis Unit : Individual
Dataset Type: Original Data (from questionnaires)
Period: multiple
Study: SOEP-Core
Step 1: The variable pli0007_h is replaced by the variable pli0007_v1 for the years 1984 to 1990. Step 2: The variable pli0007_h is replaced by the variable pli0007_v5 for the years 1992, 1993, 1995, 1997, 1999, 2001, 2003, 2005, 2007, 2009, 2011 to 2013, 2015, 2017, 2019 and 2021. Step 3: The variable pli0007_h is replaced with pli0007_v2 for the year 1990, if pli0007_v2 is greater than 0 and pli0007_v3 is less than 0 and pli0007_v2 is less than 0 and pli0007_v4 is less than 0. Step 4: The variable pli0007_h is replaced with pli0007_v3 for the year 1990, if pli0007_v3 is greater than 0 and pli0007_v3 is less than 0 and pli0007_v2 is less than 0 and pli0007_v4 is less than 0. Step 5: The variable pli0007_h is replaced with pli0007_v4 for the year 1990, if pli0007_v4 is greater than 0 and pli0007_v3 is less than 0 and pli0007_v2 is less than 0 and pli0007_v4 is less than 0. Step 6: The variables pli0007_v2 and pli0007_v4 are added and then divided by 2 in order to create a mean and subsequently integrated into the harmonized variable pli0007_h for the year 1990, if pli0007_v2 is greater than 0 and pli0007_v4 is greater than 0 and pli0007_v3 is less than 0. Step 7: The variables pli0007_v2 and pli0007_v3 are added and then divided by 2 in order to create a mean and subsequently integrated into the harmonized variable pli0007_h for the year 1990, if pli0007_v2 is greater than 0 and pli0007_v3 is greater than 0 and pli0007_v4 is less than 0. Step 8: The variables pli0007_v3 and pli0007_v4 are added and then divided by 2 in order to create a mean and subsequently integrated into the harmonized variable pli0007_h for the year 1990, if pli0007_v3 is greater than 0 and pli0007_v4 is greater than 0 and pli0007_v2 is less than 0. Step 9: The variables pli0007_v2, pli0007_v3 and pli0007_v4 are added and then divided by 3 in order to create a mean and subsequently integrated into the harmonized variable pli0007_h for the year 1990, if pli0007_v2 is greater than 0 and pli0007_v3 is greater than 0 and pli0007_v4 is greater than 0.
- What is a typical day like for you? How many hours do you spend on the following activities on a typical weekday, Saturday, and Sunday? - Typical Sunday
- What is a typical day like for you? How many hours do you spend on the following activities on a typical weekday, Saturday, and Sunday? - Number of hours on a typical Sunday
- What is a typical day like for you? How many hours do you spend on the following activities on a typical weekday, Saturday, and Sunday? - Typical Sunday
- What is a typical day like for you? How many hours do you spend on the following activities on a typical weekday, Saturday, and Sunday? - Typical Sunday
- Now, we’d like to know how your normal everyday life currently looks. For the following activities, please tell us how many hours you spend on them on an average weekday, on a typical Saturday and on a typical Sunday. Employment, part-time employment or internship; including journey to work - Typical Sunday
| Measure | Value |
|---|---|
| Min. | 0.0 |
| 1st Qu. | 0.0 |
| Median | 0.0 |
| Mean | 0.5546138257481672 |
| 3rd Qu. | 0.0 |
| Max. | 80.0 |
| valid | 410061 |
| invalid | 381866 |
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.