Module 2: Sampling

Question 1

Sample

Answer 1

group selected from a defined population

Question 2

Population parameters

Answer 2

-mean (u)
-standard deviation (o)

Question 3

Sample parameters

Answer 3

-mean (x)
-standard deviation (s)

Question 4

External validity

Answer 4

-ability of results to be generalized to population

Question 5

Sampling process

Answer 5

1) define pop of interest
2) sampling procedure (random/stratified)
3) sampling method (email/call)
4) sample size
5) implement

Question 6

Sampling bias

Answer 6

-when sample does not represent population well
-can be prevented by using random selection

Question 7

Types of probability sampling

Answer 7

-random
-systematic
-stratified
-cluster

Question 8

Random sampling

Answer 8

-probability
-equal chance of selection

Question 9

Systematic sampling

Answer 9

-probability
-every nth item

Question 10

Stratified sampling

Answer 10

-probability
-divided into strata, sampled proportionally

Question 11

Cluster sampling

Answer 11

-probability
-divided into clusters, clusters are randomly selected

Question 12

Types of non-probability sampling

Answer 12

-convenience
-snowball
-purposive
-expert

Question 13

Convenience sampling

Answer 13

-non probability
-based on availability

Question 14

Snowball sampling

Answer 14

-non probability
-participants refer others

Question 15

Purposive sampling

Answer 15

-non probability
-selected with a specific purpose in mind

Question 16

Expert sampling

Answer 16

-non probability
-selected based on expertise

Question 17

inclusion criteria

Answer 17

have primary traits for participation

Question 18

exclusion criteria

Answer 18

have factors that disqualify participation

Question 19

How to implement randomness

Answer 19

1) selection (external validity)- randomly chosen from pop
2) assignment (internal validity)- randomly separated into groups

Question 20

Probability formula

Answer 20

p = (# favorable outcomes/ # possible outcomes)