1.1 Data collection Flashcards

1
Q

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

Raw data

A

Information obtained from a population

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

Census

A

Measures or observes every member of a population

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

Census disadvantages and advantages

A

Advantages:
. Results should be completely accurate

Disadvantages:
. Time consuming and expensive

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

Sample disadvantages and advantages

A

Advantages:
. Less time consuming
. Cheaper

Disadvantages:
. Data may not be accurate (small sample size)

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

Sampling units

A

Individual units of a population

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

Sampling frame

A

A list of sampling units

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

What are the 3 types of random sampling

A

. Simple random sampling
. Systematic sampling
. Straisfied sampling

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

Simple random sampling

A

A simple random sample of size n is one where every sample of size n has an equal chance of being selected

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

Systematic sampling

A

The required elements are chosen at regular intervals from an ordered list

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

Stratisfied sampling

A

The population is divided into mutually exclusive strata and a random sample is taken from each

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

Simple random sampling advantages and disadvantages

A

Advantages:
. Free of bias
. Easy and cheap

Disadvantages
. Not suitable for large samples
. Sampling frame needed

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

Systematic sampling advantages and disadvantages

A

Advantages
. Simple and quick to use
. Suitable for large samples

Disadvantages
. A sampling frame is needed
. Bias introduced if sampling frame is not random

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

Stratisfied sampling advantages and disadvantages

A

Advantages
. Sample accurately reflects the population

Disadvantages
. Population must be clearly classified into distinct strata (time consuming)

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

What are the 2 types of non - random sampling

A

. Quota sampling
. Opportunity sampling

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

Quota sampling

A

An interviewer or researcher selects a sample that reflects the characteristics of the whole population

17
Q

Opportunity sampling

A

Sample is taken from people who are available at the time of study and who fits the criteria you are loading for

18
Q

Quota sampling advantages and disadvantages

A

Advantages
. No sampling frame needed
. Efficient
. Cheap

Disadvantages
. Population must be divided into groups which can be costy
. Can introduce bias

19
Q

Opportunity sampling advantages and disadvantages

A

Advantages
. Easy to carry out
. Cheap

Disadvantages
. Unlikely to provide a representative result

20
Q

Types of data

A

Qualitative data
Quantitative data

21
Q

Quantitative data

A

Data associated with numerical observations are called quantitative data

22
Q

Qualitative data

A

Data associated with non-numerical observations are called qualitative data

23
Q

Continuous variable

A

A variable that can take any value in a given range is a continuous variable

24
Q

Discrete variable

A

A variable that can onlyy take specific values is a discrete variable

25
Q
A