SCALE_LEVELS: Scale Levels

In dataquieR: Data Quality in Epidemiological Research

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 the SCALE_LEVEL estimated by prep_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

Wikipedia

dataquieR documentation built on May 29, 2024, 7:18 a.m.