Werte: Results from a survey on value orientation
In sebastiansauer/pradadata: Data Sets for Practical Data Analysis
Werte R Documentation
Results from a survey on value orientation
Description
This is a random selection of 1000 cases with 15 variables
of Human Values from the european social survey.
The data were collected by students of the FOM
in Germany in spring 2017 using face-to-face interviews.
Usage
data("Werte")
Format
A data frame containing 1000 rows and 15 columns
- Spass
Fun
- Freude
Joy
- Aufregung
Excitement
- Fuehrung
Leadership
- Entscheidung
Decisiveness
- Religioesitaet
Religiosity
- Respekt
Respect
- Demut
Humility
- Gefahrenvermeidung
Avoidance
- Sicherheit
Security
- Ordentlichkeit
Orderliness
- Unabhaengigkeit
Independence
- Zuhoeren
Listening
- Umweltbewusstsein
Environment awareness
- Interesse
Intereset
Details
This dataset was published here: https://osf.io/zg89r/.
Source
Please cite this dataset as: 'Gansser, O. (2017, June 8).
Data for Principal Component Analysis and Common Factor
Analysis. Retrieved from https://osf.io/zg89r/', CC-BY 4.0
sebastiansauer/pradadata documentation built on June 5, 2024, 1:27 a.m.
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| Werte | R Documentation |
Results from a survey on value orientation
Description
This is a random selection of 1000 cases with 15 variables of Human Values from the european social survey. The data were collected by students of the FOM in Germany in spring 2017 using face-to-face interviews.
Usage
data("Werte")
Format
A data frame containing 1000 rows and 15 columns
- Spass
Fun
- Freude
Joy
- Aufregung
Excitement
- Fuehrung
Leadership
- Entscheidung
Decisiveness
- Religioesitaet
Religiosity
- Respekt
Respect
- Demut
Humility
- Gefahrenvermeidung
Avoidance
- Sicherheit
Security
- Ordentlichkeit
Orderliness
- Unabhaengigkeit
Independence
- Zuhoeren
Listening
- Umweltbewusstsein
Environment awareness
- Interesse
Intereset
Details
This dataset was published here: https://osf.io/zg89r/.
Source
Please cite this dataset as: 'Gansser, O. (2017, June 8). Data for Principal Component Analysis and Common Factor Analysis. Retrieved from https://osf.io/zg89r/', CC-BY 4.0
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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