A complete guide to Bias & Ethics in Data Collection

White building with data has a better idea sign board
Photo by Franki Chamaki on Unsplash

What is Ethics?

  • What is right or wrong?
  • What is good or bad?
  • What is justice?
  • What is well-being or equality?

What is Bias?

Selection Bias

How to manage these ethical harms in Selection Bias?

  • Include as many samples as possible in the study
  • Conducting an experimental study
  • Draw from the sample that is not self-selecting

Sampling Bias

  • Under coverage: This type happens when some of the variables are not represented / poorly represented and it is a common type of Sampling bias
  • Non-Response: Also referred to as participation bias, the inability of the participant to take part in the survey
  • Pre-Screening: This happens when the selection process deployed in a study results in a sample that is a poor representation of the population
  • Avoid Convenience Sampling
  • Follow up on non-responder
  • Clearly define the Target audience
  • Oversampling
  • Make the Survey accessible and simple

Misclassification Bias

--

--

--

Your Digital Transformation partner. We are here to share knowledge on varied technologies, updates; and to stay in touch with the tech-space.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Bridging AI’s Proof-of-Concept to Production Gap — Insights from Andrew Ng

The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning Models

Sparkify users churn prediction

Time-series Analysis

Let’s Scrape a Blog! (Part 1)

randomized control trial available here!

Using ML to Predict the Lifecycle of New Customers

Demystifying data, data analytics, data science and more for policy analysts

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Payoda Technology Inc

Payoda Technology Inc

Your Digital Transformation partner. We are here to share knowledge on varied technologies, updates; and to stay in touch with the tech-space.

More from Medium

Hypothesis testing, a simple understanding.

Thought Experiment: Switch-back

Examining the relevance of various predictors for Jewelry spent

Introduction to Linear Mixed Effect Model

Structure of correlated data