Given below are two
Statements:
One is labelled as Assertion A and the other is labelled as Reason R.
Assertion (A): Experimenter's bias is a real issue at different phases of research.
Reason (R): A researcher can influence the results of a study by mistakes in observation and data entry, either intentionally or otherwise.
In the light of the above statements, choose the most appropriate answer from the options given below:
- AOption (a)
Both (A) and (R) are correct and (R) is the correct explanation of (A)
- BOption (b)
Both (A) and (R) are correct but (R) is NOT the correct explanation of (A)
- COption (c)
(A) is correct but (R) is not correct
- DOption (d)
(A) is not correct but (R) is correct
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Correct answer
Both (A) and (R) are correct and (R) is the correct explanation of (A)
Why this answer is correct
Key Points Assertion (A): Experimenter bias is a real issue at different phases of research.
- Experimenter bias arises when a researcher purposefully or inadvertently impacts data, participants, or outcomes in an experiment.
- The one thing that makes qualitative research far more reliant on intuition and experience than quantitative research is bias.
- It can occur at different phases of research, such as during design, selection/Sampling, and procedural.
Thus, (A) is correct.
Reason (R): A researcher can influence the results of a study by mistakes in observation and data entry, either intentionally or otherwise.
- It happens when a researcher unknowingly affects outcomes, data, or a participant in an experiment due to subjective influence.
- It is challenging for humans to be completely impartial and unaffected by their feelings, desires, or biases.
- The phenomenon is also known as observer bias, information bias, research bias, expectancy bias, experimenter effect, observer-expectancy effect, experimenter-expectancy effect, and observer effect.
So, (R) is correct, and (R) is the correct explanation of (A).
Therefore, Both (A) and (R) are correct, and (R) is the correct explanation of (A).