Skip to content

hs3city/surveypie

Repository files navigation

Ordinal-Scale-Stats-py

Python package that helps you analyze ordinal data.

Introduction

Ordinal scale data is common. Companies and governments can quickly perform large-scale research with surveys. Usually, a survey output is placed on the Likert scale, where answers are ordered to describe a person's feelings about the survey's topic. A typical example of a survey is when a person is asked to agree with a statement with answers on a five-level scale:

Should the law protect your personal data?

1. Strongly disagree.
2. Rather disagree.
3. I don't know.
4. Rather agree.
5. Strongly agree.

The order between categories makes analysis complex, and the fact that answers are polarized between opposing states. Moreover, a border between categories is subjective and depends on the person's experiences, feelings, and knowledge about a surveying topic.

Classical measurements of central tendency do not fit well with ordinal data [ADD BIBLIOGRAPHY]. We encourage you to use the ordinal-scale-stats package to analyze survey responses. With ordinal-scale-stats, you can:

  • visualize differences between surveyed groups,
  • measure polarization within a group,
  • measure polarization between groups,
  • measure ...

Example use case

Setup

Requirements

API

Vignettes

Tests and Contribution

Community

Citation

About

No description, website, or topics provided.

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published