SAMPLING PRELIM

Question 1

The process to SELECTING THE SAMPLE. When you conduct research about a group of people, it’s rarely possible to collect data from every person in that group.

Answer 1

Sampling

Question 2

For the researcher to CAREFULLY DECIDE how you will select a sample that is REPRESENTATIVE OF THE GROUP AS A WHOLE.

Answer 2

sampling method

Question 3

There are TWO PRIMARY TYPES OF SAMPLING METHODS that you can use in your research

Answer 3

1. The population
2. The sample

Question 4

There are TWO PRIMARY TYPES OF SAMPLING METHODS that you can use in your research

Answer 4

1. The population
2. The sample

Question 5

is the ENTIRE GROUP that you want to draw conclusions about

Answer 5

The population

Question 6

is the SPECIFIC GROUP OF INDIVIDUALS that you will collect data from. This should be a representative of the population

Answer 6

The sample

Question 7

is the SPECIFIC GROUP OF INDIVIDUALS that you will collect data from. This should be a representative of the population

Answer 7

The sample

Question 8

SLOVIN’S FORMULA FOR SAMPLE SIZE

Answer 8

n = N / (1+Ne2)
n = sample
N = Population
1 = Constant
e = margin of error (e = 0.05 (5%) )

Question 9

SLOVIN’S FORMULA FOR SAMPLE SIZE

Answer 9

n = N / (1+Ne2)
n = sample
N = Population
1 = Constant
e = margin of error (e = 0.05 (5%) )

Question 10

involves RANDOM SELECTION (PURE CHANCE), allowing you to make strong statistical inferences about the WHOLE GROUP.

Answer 10

Probability sampling

Question 11

involves RANDOM SELECTION (PURE CHANCE), allowing you to make strong statistical inferences about the WHOLE GROUP.

Answer 11

Probability sampling

Question 12

involves NON-RANDOM SELECTION based on convenience or other criteria,
allowing you to EASILY COLLECT DATA.

Answer 12

Non-probability sampling

Question 13

means that EVERY MEMBER OF THE POPULATION a chance of being selected.

Answer 13

Probablity Sampling

Question 14

means that EVERY MEMBER OF THE POPULATION a chance of being selected.

Answer 14

Probablity Sampling

Question 15

EVERY MEMBER OF POPULATION has an EQUAL CHANCE OF BEING. Your
sampling frame should include the whole population.

Answer 15

Simple random sampling

Question 16

EVERY MEMBER OF POPULATION has an EQUAL CHANCE OF BEING. Your
sampling frame should include the whole population.

Answer 16

Simple random sampling

Question 17

similar to simple random sampling, but it is USUALLY SLIGHTLY EASIER TO CONDUCT. Every member of the population is LISTED WITH A NUMBER, but instead of randomly generating numbers, individuals are chosen at regular intervals.

Answer 17

Systematic sampling

Question 18

involves DIVIDING THE POPULATION INTO SUBPOPULATIONS that may differ in important ways. It allows you draw more precise conclusions by ensuring that EVERY SUBGROUP is properly represented in
the sample.

Answer 18

Stratified sampling

Question 19

involves DIVIDING THE POPULATION INTO SUBPOPULATIONS that may differ in important ways. It allows you draw more precise conclusions by ensuring that EVERY SUBGROUP is properly represented in
the sample.

Answer 19

Stratified sampling

Question 20

also involves dividing the population into subgroups, but each subgroup SHOULD HAVE SIMILAR CHARACTERISTICS TO THE WHOLE SAMPLE. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.

Answer 20

Cluster sampling

Question 21

INDIVIDUALS ARE SELECTED BASED ON NON-RANDOM CRITERIA, and not every individual has a chance of being included.

Answer 21

Non-probability sampling

Question 22

simply includes the individuals who happen to be MOST ACCESSIBLE TO THE RESEARCHER. It can be RISK FOR BOTH SAMPLING BIAS and selection bias.

Answer 22

convenience sample

Question 23

simply includes the individuals who happen to be MOST ACCESSIBLE TO THE RESEARCHER. It can be RISK FOR BOTH SAMPLING BIAS and selection bias.

Answer 23

convenience sample

Question 24

mainly based on EASE OF ACCESS. Instead
of the researcher choosing participants and directly contacting them, PEOPLE VOLUNTEER THEMSELVES (e.g. by responding to a public online survey).

Answer 24

Voluntary response sampling

Question 25

mainly based on EASE OF ACCESS. Instead
of the researcher choosing participants and directly contacting them, PEOPLE VOLUNTEER THEMSELVES (e.g. by responding to a public online survey).

Answer 25

Voluntary response sampling

Question 26

KNOWN AS JUDGMENT SAMPLING, involves the researcher using their expertise to
select a sample that is MOST USEFUL TO THE PURPOSES OF THE RESEARCH. An effective purposive sample must have clear criteria and rationale for inclusion.

Answer 26

Purposive sampling

Question 27

KNOWN AS JUDGMENT SAMPLING, involves the researcher using their expertise to
select a sample that is MOST USEFUL TO THE PURPOSES OF THE RESEARCH. An effective purposive sample must have clear criteria and rationale for inclusion.

Answer 27

Purposive sampling

Question 28

can be used to RECRUIT PARTICIPANTS VIA OTHER PARTICIPANTS. The number of people you have access to “snowballs” as you get in contact with more people.

Answer 28

Snowball sampling

Question 29

can be used to RECRUIT PARTICIPANTS VIA OTHER PARTICIPANTS. The number of people you have access to “snowballs” as you get in contact with more people.

Answer 29

Snowball sampling

Question 30

RELIES ON THE NON-RANDOM SELECTION a PREDETERMINED NUMBER OR PROPORTION OF UNITS

Answer 30

Quota sampling

Question 31

RELIES ON THE NON-RANDOM SELECTION a PREDETERMINED NUMBER OR PROPORTION OF UNITS

Answer 31

Quota sampling

Question 32

5 types of Non-probability sampling methods
1.C
2.V
3.P
4.S
5.Q

Answer 32

1.Convenience sampling
2.Voluntary response sampling
3.Purposive sampling
4.Snowball sampling
5.Quota sampling

Question 33

5 types of Non-probability sampling methods
1.C
2.V
3.P
4.S
5.Q

Answer 33

1.Convenience sampling
2.Voluntary response sampling
3.Purposive sampling
4.Snowball sampling
5.Quota sampling

Question 34

4 types of Probablity Sampling
1.S
2.S
3.S
4.C

Answer 34

1.Simple random sampling
2.Systematic sampling
3.Stratified sampling
4.Cluster sampling

Question 35

4 types of Probablity Sampling
1.S
2.S
3.S
4.C

Answer 35

1.Simple random sampling
2.Systematic sampling
3.Stratified sampling
4.Cluster sampling