# NUR 363 Quiz week 9 (Sampling and data collection) Flashcards

1
Q

Briefly define:

Population

A

Well defined group with specified characters

2
Q

Briefly define:

Sample

A

Subset of the overall populations

3
Q

Briefly define:

Sampling unit

A

List of population element / individuals

4
Q

Briefly define:

Element

A

Most basic unit - individual unit

5
Q

Briefly define:

Convenience sample

A

6
Q

Briefly define:

Snowball sampling

A

Use of contacts of participants involved (social network)

7
Q

Briefly define:

Purposive sampling

A

Handpicked cases - intentional selection

8
Q

Briefly define:

Quota sampling

A

Used to access different subgroups of population

9
Q

Briefly define:

Simple random sampling

A

All population elements identified

10
Q

Briefly define:

Stratified random sampling

A

Population divided into homogeneous subjects

11
Q

Why are eligibility criteria so important?

A

Enables generalization of feelings

12
Q

What is/are the main purpose(s) of sampling?

A

To minimize bias and increase representation

13
Q

Name the two major headings under which sampling falls

A
1. Probability

2. Non-probability

14
Q

What are the advantages of random sampling?

A

No research bias

Maximizes represenataion

15
Q

What is the aim of stratified random sampling?

A

Increases representation

16
Q

Name and briefly describe two other types of probability sampling

A
1. Systematic sampling -
Selection of members of a population at fixed intervals
eg. every 100th case on the list
2. Cluster sampling -
Random sampling of units/clusters
17
Q

What are the disadvantages of non-probability sampling?

A
• Every member of population does NOT have equal chance
• Less rigorous than probability sampling
• Limits generalization
18
Q

List three major types of non-probability sampling.

A
1. Theoretical
2. Snowball
3. Convenience
19
Q

Briefly describe…
Theoretical
Snowball
Convenience

A

Theoretical - usually in grounded theory studies, goes from small to large

Snowball - Useful for accessing diversity of experience

Convenience - Uses most readily avialable subjects common in clinical research

20
Q

Name four qualitative data collection methods

A
1. Interviews
2. Journal entries / written data
3. Observation (generally participant)
4. Examination of documents
21
Q

State two ways in which error can be introduced into qualitative research

A
1. From the measurement process itself

2. From the quality of the measure, readability and validity

22
Q

How is rigor assured in qualitative research?

A
• Researcher competence
• Transparency of research process (via audit trail)
• Congruence between philosophical and methodological approaches for the study
23
Q

List four quantitative data collection methods

A
1. Physiological/laboratory based
2. Observational
3. Questions and self report scales - questionnaires
4. Interviews
24
Q

State two general areas for error in quantitative research

A
1. Reliability

2. Validity

25
Q

Define reliability and validity in relation to measurement error

A

Readability - Consistency in the measurement

Validity - extent to which it measures that which it purports to measure
measure what we actually thinks it’s measures