module 2 sampling strategies

Question 1

sampling strategies

Answer 1

probability

non-probability

Question 2

sampling

Answer 2

process of selecting a portion of the population to represent the entire population

Question 3

target population

Answer 3

group to which the researchers want to generalize the study results

Question 4

random (probability) sampling

Answer 4

probability of being selected is known

• selection of a group of subjects from a population so that each individual is chosen by chance.
• reduced bias
• increases external validity/generalizability

Question 5

nonrandom (non-probability) sampling

Answer 5

probability of selection unknown

• convenience or subjective judgment used to decided who is chosen for sample
• unable to determine whether the sample includes members from all relevant segments of population

Question 6

types of nonrandom sampling

Answer 6

convenience
snowball
quota
Purposive

Question 7

types of random (probability) sampling

Answer 7

simple random
stratified random
cluster
systematic sampling

Question 8

population

Answer 8

all members of defined group

Question 9

parameters

Answer 9

characteristics of population

Question 10

simple statistics

Answer 10

characteristics of sample

Question 11

simple random sample

Answer 11

sample is chosen in such a way that every set of individuals has an equal chance to be in the selected sample

Question 12

stratified random

Answer 12

Stratified random sampling is used when your population is divided into strata (characteristics like male and female or education level), and you want to include the stratum when taking your sample.

Question 13

cluster sampling

Answer 13

Cluster sampling is used in statistics when natural groups are present in a population. The whole population is subdivided into clusters, or groups, and random samples are then collected from each group.

Question 14

systematic sampling

Answer 14

choose every 10th member, or every 100th member.

Question 15

convenience sampling

Answer 15

Convenience sampling (also called accidental sampling or grab sampling) is where you include people who are easy to reach.

Question 16

purposive sampling

Answer 16

Participants are selected according to the needs of the study (hence the alternate name, deliberate sampling); applicants who do not meet the profile are rejected.

Question 17

quota sampling

Answer 17

The population is divided into groups (also called strata) and samples are taken from each group to meet a quota. Care is taken to maintain the correct proportions representative of the population.

Question 18

snowball sampling

Answer 18

Snowball sampling is where research participants recruit other participants for a test or study.