Terminology

Question 1

Discrete vs Continuous (both scale variables)

Answer 1

discrete = counting (normally whole numbers)
continuous = measurement

Question 2

Nominal vs Ordinal

Answer 2

nominal = category (just a label)
ordinal = categories that have an ORDER to them

Question 3

Variable

Answer 3

a characteristic that we can record about the subjects or object in the study

Question 4

Independent (or explanatory) variables

Answer 4

describing the treatment

Question 5

Dependent (or response) variables

Answer 5

what you’re recording/variable of interest

Question 6

Blind Study

Answer 6

Participants do not know what treatment they are getting

Question 7

Double-blind Study

Answer 7

Participants and Experimenters do not know which treatment they are getting

Question 8

Advantages of Sampling

Answer 8

• more economical
• time efficient
• can be more accurate (greater control over measurements/procedures used)

Question 9

Sample Assumptions

Answer 9

the sample mirrors the characteristics, heterogeneity and variations of the target population

Question 10

Sampling Bias

Answer 10

Members of a sample over or under represent attributes of the population that are related to areas being studied. Can be conscious or un-conscious.

Question 11

What are the five types of Probability Sampling

Answer 11

1. Simple random sampling
2. Systematic sampling
3. Stratified random sampling
4. Disproportionate sampling
5. Cluster sampling

Question 12

What are the four types of Non-probability Sampling?

Answer 12

1. Convenience Sampling
2. Quota Sampling
3. Purposive Sampling
4. Snowball Sampling

Question 13

Simple Random sampling

Answer 13

each member of the population has an equal change of selection (reduced the risk of systematic bias) - randomly selected from the population.

Question 14

Systematic sampling

Answer 14

every nth subject from the population list is chosen