Error and Bias in Health Science Flashcards

1
Q

Error is what?

A

a comparison

  • error compares what we thought or believed or did with what we ought to have thought/believed/done
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Errors Have size… explain

A

We can’t possibly eliminate all error - therefore we have to try to reason how BIG the error is to know how accurate a measurement will be

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

is it possible to know how much error any individual measurement contains?

A

no - need multiple measurements

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

every measurement has two components.. what are they?

A

measured value = true value + error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Do error occur according to a mathmatical principle?

A

no, errors occur at random.

that is they plus/minus errors are equally likely to occur

big errors are less likely to occur than small errors

therefore: Errors cancel out in the long run - the more data= more precision

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

how can precision be increased?

A
  • more data
  • reducing measurement error
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

how are error/precision linked?

A

error is part of every individual measurment

However, we can become more precise when each individual measurement is put together

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

under what circumstances are errors not random?

A

ex) people are more likely to underestimate their alcohol consumption - this is true with most social behaviours

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

when errors develop a patter, what is it called?

A

bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

what is the difference between precision and accuracy?

A

precision = depends on amount of error in measurement - more results increase precision

accuracy = depends on amount of bias in the measurement - more results will not increase accuracy

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

what is selection bias?

A

when the research participants are not representative of the study population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is ‘observor bias’?

A

the prior knowledge of the person recording the data could influence what they record

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is social acceptability bias?

A

people try to present themselves to the researcher in a good like - underestimating bad behaviours and overestimating good ones

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what is courtesy bias?

A

people tell you what they think you would like to hear

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

how do we reduce bias?

A

with research design and analysis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly