When researchers have to make a decision regarding which participant to study, selection bias occurs in that case. It is associated with the research where participant selection is not random and is also known as selection effort.

Types of Selection Bias.

  • Sampling Bias: Some members of a dataset have fewer chances of getting selected than others, which results in a biased sample and hence causes an error known as sampling bias.
  • Time Interval: If we reach any extreme value, we can stop the trials early. But if all variables are similar, the variable with the high variance has more chance of achieving the extreme value.
  • Data: When specific data is picked randomly, and the agreed criteria are not followed.
  • Attrition: Loss of the participants is known as attrition.
BY Best Interview Question ON 02 Nov 2022

Suggest An Answer