Question

What is the solution to observer bias?

a) Consistency
b) Inter-observer reliability
c) Standardization
d) Randomization

Answer 1

Standardization is the solution to observer bias in observational research.

Step-by-step explanation:

Observer bias is a potential problem in observational research where observers may unconsciously skew their observations to fit their research goals or expectations. To mitigate this bias, researchers should establish clear criteria for recording behaviors and how they should be classified. Additionally, researchers can use inter-observer reliability, comparing observations by multiple observers, to assess the consistency of the observations.

One solution to address observer bias is standardization. By establishing clear criteria and protocols for observation, researchers can reduce the influence of their biases on the results.

Therefore, the correct answer to this question is c) Standardization.

Answer 2

b) Inter-observer reliability

The solution to observer bias is Inter-observer reliability, which involves using clear criteria for observations and comparing them across different observers to ensure consistency and reduce personal bias in research.

Step-by-step explanation:

The solution to observer bias is b) Inter-observer reliability. To combat observer bias, researchers can use clear criteria for observations and compare the observations of multiple observers to assess consistency, which is referred to as inter-rater reliability. This measure helps determine if different observers are able to produce similar results when observing the same events or behaviors, indicating that the observations are not skewed by personal bias.

Other related concepts that help in reducing bias in research include randomization, which helps eliminate the problem of lurking variables by randomly assigning treatment orders, and blinding, which can be employed to prevent participants or researchers from knowing certain details that may influence the outcomes. Participant observation and surveys are examples of research techniques that might be used and may require additional precautions to prevent bias.