Exam 1 - Sampling Flashcards

1
Q

Name the term for obtaining information at acceptable costs.

A

EFFICIENCY

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2
Q

Name the term for minimizing sampling error or the difference between sample estimates and population parameters.

A

ACCURACY

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3
Q

What does IRB stand for?

A

Institutional Review Board

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4
Q

Name the three functions of an IRB?

A

1) Safety of subject
2) Risk/benefit
3) F/U, communication

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5
Q

Who can be on an Institutional Review Board?

A

Experts, researchers, community representatives

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6
Q

_______ is the target to which investigators generate study results.

A

POPULATION is the target to which investigators generate study results.

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7
Q

____ ___ ____ is the object being studied.

A

UNIT OF ANALYSIS is the object being studied.

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8
Q

What are some examples of a unit of analysis?

A

Individual patients, groups, clinics

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9
Q

What is the source of population that is used for the sample?

A

SAMPLING FRAME

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10
Q

What is the term for a population characteristic?

A

PARAMETER

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11
Q

What is the term for a sample characteristic?

A

STATISTIC

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12
Q

____ ____ is the source of population that is used for the sample.

A

SAMPLING FRAME is the source of population that is used for the sample.

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13
Q

Name the 2 types of sampling design.

A

1) Probability sampling

2) Non-probability sampling

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14
Q

Which type of sampling design is unbiased?

A

PROBABILITY SAMPLING

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15
Q

T/F: Non-probability sampling is biased sampling.

A

TRUE

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16
Q

Which type of sampling design do all the sampling units have a known, non-zero probability of being selected?

A

Probability sampling

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17
Q

Which type of sampling design is the probability of selecting a sample unit not known?

A

Non-probability sampling

18
Q

____ ____ uses random procedures that are not haphazard or arbitrary.

A

PROBABILITY SAMPLING uses random procedures that are not haphazard or arbitrary.

19
Q

Does random sampling guarantee a representative sample?

20
Q

Will non-probability sampling represent the population of interest?

A

MAY OR MAY NOT

21
Q

What is the major concern of non-probability sampling?

A

Selection bias is not controlled

22
Q

Name four reasons why we would use non-probability samples?

A

1) More convenient
2) Less expensive
3) Less time consuming
4) Useful when probability sampling can not be used

23
Q

Name the four different types of probability sampling.

A

S - Simple random
S - Systemic
S - Stratified
C - Cluster

24
Q

What term describes that every unit in the population has an equal probability of being included in the sample?

A

SIMPLE RANDOM SAMPLING

25
When is Simple Random Sampling done?
When the population is homogeneous
26
Which type of probability sampling occurs when every unit in the population has an equal probability of being included in the sample?
Simple random sampling
27
What do the following describe: - Define the population of interest - Assign a number from 1 to N - Decide the desired sample size (n) - Select n random numbers between 1 and N - Collect and analyze the data
SIMPLE RANDOM SAMPLING
28
Which type of probability sampling selects every Kth unit after a random start?
SYSTEMATIC SAMPLING
29
Which type of probability sampling exhibits periodic bias?
Systematic Sampling
30
Which type of probability sampling occurs when the population is divided into non-overlapping groups or categories (strata)?
STRATIFIED SAMPLING
31
T/F: Stratified sampling uses simple random samples for each strata.
TRUE
32
Name the 2 types of stratified sampling.
1) Proportional | 2) Disproportional
33
Name the four types of non-probability sampling.
1) Convenience 2) Purposive 3) Snowball 4) Quota
34
What does convenience sampling rely on?
Available subjects
35
Who can be apart of convenience sampling?
People met on the street, volunteers, captive audiences
36
T/F: Convenience sampling is not generally representative of the population.
TRUE
37
Which type of sampling specifies desired characteristics and selects for a sample appropriate ratios of the population that fit the characteristics?
QUOTA SAMPLING
38
T/F: Quota sampling is similar to stratified sampling.
TRUE
39
Snowball sampling = ?
REFERRAL
40
When is snowball/referral sampling useful?
When populations are difficult to identify or access
41
When purposive sampling utilized?
When the sample size is small and simple random sampling may not represent the most representative elements
42
Who selects elements in purposive sampling?
Experts