Sampling

Question 1

Random sampling/probability sampling

Answer 1

each element in the study population has an equal and independent chance of selection in the sample

Chosen by:
The fishbowl draw (a computer program or a table of randomly generated numbers)

Question 2

Simple random sampling

Answer 2

The most commonly used method of selecting a random sample

Random draw

Question 3

Stratified random sampling

Answer 3

Study population is classified into sub-groups and then sample is selected from each group

Question 4

Cluster sampling

Answer 4

Divide a sampling population into groups and then randomly select from each cluster

Question 5

Saturation point

Answer 5

stage in data collection where you, as a researcher, are discovering no or very little new information from your respondents

Question 6

Quota sampling

Answer 6

Convenient sample population of people with shared characteristic

Process continues until the required number of respondents (quota) have been contacted

Question 7

Accidental sampling

Answer 7

Contact anyone (no matter if there’s a shared characteristic) and stop collecting data when you reach the required number of respondents you decided to have in your sample

Question 8

Convenience sampling

Answer 8

Primarily guided by the convenience to the research in terms of selecting the potential respondents

Question 9

Judgmental or purposive sampling

Answer 9

Only talking to those who can provide the best information to achieve the objectives of the study

Question 10

Expert sampling

Answer 10

The selection of people with demonstrated or known expertise in the area of interest to become the basis of data collection

Question 11

Snowball sampling

Answer 11

Sample people then ask them who else you should talk to and keep going until you reach the saturation point

Question 12

Systematic sampling

Answer 12

Using intervals to sample
Ex: sample every 5th person