JRM Chapter 7 Terms

Question 1

Cluster sample

Answer 1

1. A probability sample that is used when no list of elements exists.
2. Initial sample

Question 2

Convenience sample

Answer 2

1. Sampling people in an easy fashion, not recommended.

Question 3

Disproportionate sample

Answer 3

1. stratified sample that over-represents a certain element.

Question 4

Element

Answer 4

1. Unit of analysis being studied

2. Often individuals, cities, analyzed levels.

Question 5

Nonprobability sample

Answer 5

1. Each element in the total population has unknown probability of being selected.

Question 6

Population

Answer 6

1. Any well-defined set of units of analysis

Question 7

Population parameter

Answer 7

1. Characteristic/attribute in a population that can be quantified.

Question 8

Probability sample

Answer 8

1. sample where each element has known probability.

Question 9

Proportionate sample

Answer 9

1. Stratified sample that is proportional to population

Question 10

Purposive sample

Answer 10

1. a non-probability sample selected based on characteristics of a population and objective of the study.

Question 11

Quota sample

Answer 11

1. Elements sampled in proportion in representation to that of the population.

Question 12

Sample

Answer 12

1. Any subset of units collected from a population.

Question 13

Sample bias

Answer 13

1. Bias that happens when elements of population are excluded from a sample.

Question 14

Sampling error

Answer 14

1. Discrepancy between observed and true value from a portion of the population.

Question 15

Sampling fraction

Answer 15

1. Size of desired sample, divided by size of population.

Question 16

Snowball sample

Answer 16

1. Sample people, and utilize their connections to sample more people.

Question 17

Stratified sample

Answer 17

1. elements sharing one or more characteristics are grouped.

Question 18

Systematic sample

Answer 18

1. A probability sample where elements are selected from list of predetermined intervals.