Implementation in Python of the reliability measures such as Omega.

Related tags

Data AnalysisOmegaPy
Overview

DOI

OmegaPy

Summary

Simple implementation in Python of the reliability measures: Omega Total, Omega Hierarchical and Omega Hierarchical Total.

Name Link
Omega Total w Tell us how muhc variance can the model explain
Omega Hierarchcal w
Omega Hierarchycal Limit w
Cronbach's alpha w

See Documentation

Quick Start

import pandas as pd
import numpy as np
from omegapy import reliability_analysis
correlations_matrix = pd.DataFrame(np.matrix([[1., 0.483, 0.34, 0.18, 0.277, 0.257, -0.074, 0.212, 0.226],\
                                  [0.483, 1., 0.624, 0.26, 0.433, 0.301, -0.028, 0.362, 0.236],\
                                  [0.34, 0.624, 1., 0.24, 0.376, 0.244, 0.233, 0.577, 0.352],\
                                  [0.18, 0.26, 0.24, 1., 0.534, 0.654, 0.165, 0.411, 0.306],\
                                  [0.277, 0.433, 0.376, 0.534, 1., 0.609, 0.041, 0.3, 0.239],\
                                  [0.257, 0.301, 0.244, 0.654, 0.609, 1., 0.133, 0.399, 0.32],\
                                  [-0.074, -0.028, 0.233, 0.165, 0.041, 0.133, 1., 0.346, 0.206],\
                                  [0.212, 0.362, 0.577, 0.411, 0.3, 0.399, 0.346, 1., 0.457],\
                                  [0.226, 0.236, 0.352, 0.306, 0.239, 0.32, 0.206, 0.457, 1.]]))
reliability_report = reliability_analysis(correlations_matrix=correlations_matrix)
reliability_report.fit()
print('here omega Hierarchical: ',reliability_report.omega_hierarchical)
print('here Omega Hierarchical infinite or asymptotic: ',reliability_report.omega_hierarchical_asymptotic)
print('here Omega Total',reliability_report.omega_total)
print('here Alpha Cronbach total',reliability_report.alpha_cronbach)

Context

It is common to try check the reliability, i.e.: the consistency of a measure, particular in psychometrics and surveys analysis.

R has packages for this kind of analysis available, such us psychby Revelle (2017). python goes behind on this. The closes are factor-analyser and Pingouin. As I write this there is a gap in the market since none of the above libraries currently implement any omega related reliability measure. Although Pingouin implements Cronbach's alpha

References

Acknowledgement

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Releases(v0.0.35)

  • v0.0.35(Jan 29, 2022)

    new example, better documentation, more measures.

    What's Changed

    • Documentation by @rafaelvalero in https://github.com/rafaelvalero/reliabiliPy/pull/1
    • Examples by @rafaelvalero in https://github.com/rafaelvalero/reliabiliPy/pull/2
    • Examples by @rafaelvalero in https://github.com/rafaelvalero/reliabiliPy/pull/4
    • prepare for packaging by @rafaelvalero in https://github.com/rafaelvalero/reliabiliPy/pull/5

    New Contributors

    • @rafaelvalero made their first contribution in https://github.com/rafaelvalero/reliabiliPy/pull/1

    Full Changelog: https://github.com/rafaelvalero/reliabiliPy/compare/v0.0.0...v0.0.35

    Source code(tar.gz)
    Source code(zip)

  • v0.0.0(Jan 8, 2022)

Owner
Rafael Valero Fernández
Programming, Statistics, Maths, Economics, Human Behaviour, People Analytics
Rafael Valero Fernández
GitHub Repository
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