😖⚖️Types of Bias in Research🗿🎭

video explains about various types of bias in research (during planning, implementation and analysis stages) and ways to prevent it. The common bias explained are selection bias, information bias and confounding bias.
#Biasinresearch
#Bias
#Research

[rgdynyr]

This occurs when the selection of study participants is not random and is influenced by some factor that is related to the outcome being studied.

for example: If a study only includes participants who are willing to participate, this may bias the results.

measurement bias: this occurs when the measurement of the outcome or exposure is not accurate or consistent.

for example: if a scale used to measure weight is not calibrated corrected this could lead to inaccurate results.

Recall bias: this occurs when participants in a study do not accurately recall information about past events or exposures.

For example: If a stufy ask participants to recall their dietary intake over the past year, their responses may nay influenced by their current dietary habits or biases.

Reporting bias: This occurs when participants in a study eo not accurately report information about their experiences or exposures.

For example: If participants in a study asked about their drug uses, theu may underreport their uses due fear of judgement or legal consequences.

Observer bias: This occurs when the researcher's Beliefs or expectation influence their interpretation of the results.

For example: If a researcher beliebes that a particular treatment if effective, they may uncconsciously interpret the results in a way that suppurts that belief.

Sampling bias: This occurs when the example of participants studied is not representative of the population being studied.

for example: If a study only includes participants from a certain age group, this may not accurately represent the experience of the broarer populations.

publication bias: this occurs when research that produces statistically significant results is more likely to be published than research that procedure non-significant results.

THIS CAN CREATE AN INACCURATE REPRESENTATION OF THE OVERALL BODY OF RESEARCH ON A PARTICULAR TOPIC.

IT IS IMPORTANT FOR RESEARCHER TO BE AWARE OF AND MINIMIZE BIASES IN THEIR WORK IN ORDER TO ENSURE THAT THEIR RESULT ARE ACCURATE, RELIABLE, AND VALID

[ПавелСамсонов-сг]

Thank you for the best explanation of research that I have ever seen!