Sampling

Question 1

Cluster Sample

Answer 1

A probability sample that is used when a complete list of all potential observations in a population is not available; the population is divided by some meaningful characteristic, or cluster, and the observations that are included in the sample are those identified from the chosen clusters

Question 2

Non-probability Sample

Answer 2

A type of sample in which every potential observation has an unknown probability of being included in the sample

Question 3

Probability Sample

Answer 3

A type of sample based on randomization

Question 4

Purposive Sample

Answer 4

Nonprobability one where observations are chosen because they are believed to provide strong results for hypothesis

Question 5

Quota Sample

Answer 5

A non-probability sample which a researcher is guided by a particular characteristic within a population and deliberately chooses a a sample based on the characteristic

Question 6

Simple Random Sample

Answer 6

The Most basic type of probability sample in which every potential observation in population has an equal chance of being selected for the sample

Question 7

Snowball Sample

Answer 7

A non-probability sample in which a researcher studies an observation and learns from the inquiry itself that another observation might shed further light on the research question

Question 8

Stratified Random Sample

Answer 8

A probability sample in which observations form a population are grouped into predetermined categories of importance to the population and then randomly selected by some means that ensures that the resulting sample is proportionate to the predetermined categories

Question 9

Stratified Sample

Answer 9

A probability sample in which the observations included in the sample are chosen at predetermined intervals from a list

Question 10

Confidence Sample

Answer 10

Nonprobaility

observation = chosen b/c researcher has best access to them