AS1 - Data collection Flashcards

1
Q

Define population:

A

the whole set of items that are of interest

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

What are 2 ways of collecting data from a population?

A

-census
-sample

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

Define census:

A

a method of collecting data from a population that involves observing/measuring every member of a population

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

Give some pros and cons of using a census:

A

-fully accurate/representative

-time consuming and expensive
-hard to process data for larger populations
-can’t be used when the testing process destroys the item

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

Define a sample:

A

a selection of observations taken from a subset of the population which is used to find out information about the population as a whole

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

Give some pros and cons of using a sample:

A

-far less time consuming/expensive than a census
-less data to process

-might not be accurate as the sample may not be large enough to give info about the minorities in a population

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

What is a sampling frame?

A

a numbered list of sampling units from a population

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

Name 3 methods of random and 2 non-random sampling:

A

-simple random
-systematic
-stratified

-quota
-oppurtunity/convenience

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

Define simple random sampling:

A

a sample of size n where every sampling unit in a population has an equal chance of being selected

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

Describe systematic sampling:

A

the required elements are chosen at regular intervals from an ordered list, after a random starting point has been chosen

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

Describe stratified sampling:

A

the population is split up into mutually exclusive strata, and the proportion of each strata in the sample will reflect the proportion of each strata in the population

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

Describe quota sampling:

A

-the population is divided up into groups according to certain characteristics, and a quota (number of people we want) for that group is set

-people are selected using opportunity sampling until the quota of each group has been met

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

Give some pros and cons of quota sampling:

A

-allows a small sample to still be representative of the population
-no sampling frame needed so it is quicker/cheaper

-non-random sampling can introduce bias
-need to divide population into groups which could be costly/inaccurate

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

Describe opportunity sampling:

A

taking a sample from the things that are most easily available to a researcher at a particular time

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

Give some pros and cons of opportunity sampling:

A

-quick/easy/inexpensive to carry out

-unlikely to provide a representative sample
-highly dependent on the individual researcher

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