Unit 3 - sampling Flashcards

1
Q

What is the population

A

Big data under study

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

What is a sample

A

Small chunk of the population

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

Important characteristics of a sample so that you can generalize and estimate

A

Sample size

Use of randomization

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

When is a sampling method considered biased

A

In some critical way it consistently results in samples that do not represent the population

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

What is voluntary response bias and where does it happen

A

On voluntary surveys

May be composed with strongly opinionated people, especially those with negative opinions on a
subject.

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

Convenience survey bias

A

Hard to generalize for the entire population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is undercoverage bias

A

Inadequate representation

Groups in the population are left out of the process of choosing the sample

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

What is response bias

A

Question itself can lead to misleading results

people don’t want to be perceived as having unpopular

don’t want to admit to having committed crimes

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

What is nonresponse bias

A

low response rates, occurs when individuals chosen for the sample can’t be contacted or can refuse to participate,

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

What is quota sampling bias

A

interviewers are given free choice in picking people in the and they attempt to pick without randomisation

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

What is wording bias

A

when nonneutral or poorly worded questions lead to
very unrepresentative responses

OR the order in which questions are asked.

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

Does increasing sample size reduce bias

A

no

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

What is a Simple Random Sample

A

one in which every possible sample of the desired size has an equal chance of being selected

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

How to construct an SRS

A

Assign numbers
Use a computer random number generator to generate distinct numbers in the range.
Link selected numbers with corresponding individuals.

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

Adv and disadv of SRS

A

Adv:
Simple - makes it easy to interpret data
Requires minimal knowledge about the population.
Unbiased - accurate

disadv:
May not be as precise as others
time consuming
difficult to execute (esp if population is large)
Could leave groups out that you want to be represented.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is cluster random sampling

A

Population is divided into clusters of individuals that are similar. An SRS of the clusters is taken and then all individuals in the selected clusters are taken.

17
Q

Adv and disadv of cluster

A

Adv
Unbiased
Easy to perform

Disadv
Very high variability esp if clusters are homogenous which renders this sampling method useless

18
Q

What is stratified random sampling

A

Divide the population into strata based on similar characteristics.
Take an SRS within each stratum.
All selected individuals make up one larger sample.

19
Q

Adv and disadv of stratified random sampling

A

Adv
Unbiased
Very precise

Disadv
Can be very hard to exec

20
Q

What is systematic random sampling

A

Start at a random point in the population then sample at a fixed period interval

eg: every 5th person, every 20th person, etc.

21
Q

What is bias
What is variability
4 types

A
Bias = accuracy
Variability = precision

Biased and high var = inaccurate and imprecise
Unbiased and high var = accurate but imprecise
Biased and low var = inaccurate but precise
Unbiased and low var = accurate and precise.

22
Q

How to write about bias (undercoverage, nonresp, etc)

A

Identify the pop and sample
Explain how sampled individual might differ from general population
Explain how this leads to overestimate or underestimate.