SCALE_LEVELS {dataquieR} | R Documentation |
Scale Levels
Description
Scale Levels of Study Data according to Stevens's
Typology
In the metadata, the following entries are allowed for the variable attribute SCALE_LEVEL:
Usage
SCALE_LEVELS
Format
An object of class list
of length 5.
Details
-
nominal
for categorical variables -
ordinal
for ordinal variables (i.e., comparison of values is possible) -
interval
for interval scales, i.e., distances are meaningful -
ratio
for ratio scales, i.e., ratios are meaningful -
na
for variables, that contain e.g. unstructured texts,json
,xml
, ... to distinguish them from variables, that still need to have theSCALE_LEVEL
estimated byprep_scalelevel_from_data_and_metadata()
Examples
sex, eye color –
nominal
income group, education level –
ordinal
temperature in degree Celsius –
interval
body weight, temperature in Kelvin –
ratio
See Also
[Package dataquieR version 2.1.0 Index]