bias

Question 1

bias

Answer 1

• sampling bias : When the sample isn’t representative of the target population, leading to skewed results
• researcher bias : When the researcher’s expectations or beliefs influence the study, affecting objectivity.
• participant bias : When participants alter their behavior because they know they’re being studied (e.g., to look good or fit expectations).
• trangulation: Using multiple methods, researchers, or sources to study the same topic, increasing credibility and reducing bias.

Question 2

single and double blidness

Answer 2

• single is when participants do not know what condtion they r in
• double is when both dont know

Question 3

randomization

Answer 3

fair sampling

Question 4

standardization

Answer 4

across multiple groups such as instructions, conditions and variables is reliable and unbiased

Question 5

leading questions

Answer 5

Leading questions may influence

Peer review questions
Pilot interviews to double check any confusion in questions in their ways

Unstructured interview would remove this

Question 6

personal reflexivity

Answer 6

Considering personal values beliefs and experiences may influence their objective capabilities
Include it in the process

Question 7

Epistemological reflexivity

Answer 7

Reflecting on the way the research was carried out eg focus group and conformity, interview and lack of sharing or oversharing

Question 8

Peer review

Answer 8

aving a researcher check work !!!!this is a key one to mention

Question 9

Researcher triangulation

Answer 9

more than one conducts it to align results

Question 10

Inter rater reliability

Answer 10

how much agreement there is in measuring the same thing using the same tools (reliability in the tool)

Question 11

sample

Answer 11

Cultural biases : WEIRD SAMPLE ? YAVIS

Self selection bias ; if they volunteered they may be more motivated

Ascertainment ; when a specific group is left out; eg in relationship studies healthy relationships are often left out