Sampling and Sample Size + Ch9 Flashcards

1
Q

Sample

A

Subset of population

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2
Q

Sample frame

A

Listing of population, from which you draw your sample

eg: McGill Students

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3
Q

Sampling error

A

Difference between population and sample due to chance variation

Can be reduced by increasing sample size

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4
Q

Accuracy depends on 2 components (RS)

A

Representativeness
Sample size

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5
Q

Census vs Sample

A

Census asks everyone - more accurate
Sample asks subset - accuracy varies

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6
Q

4 steps in a sampling process

A
  1. Define population of interest
  2. Identify sampling frame (if possible)
  3. Select sampling method
  4. Determine sample size
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7
Q

2 types of sampling methods (PN)

A

Probability method
Non-probability method

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8
Q

Probability method

A

Every element in the population has a known chance of being selected
More likely to be representative subset of the population
Allows you to calculate margin of error
Difficult + expensive

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9
Q

Non-probability method

A

Chances of selection for the various elements in the population are unknown
Unlikely to be representative subset of the population
Cannot calculate margin of error
Cheap + Easy

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10
Q

4 ways of probability sampling (SSSC)

A

Simple random
Systematic
Stratified
Cluster

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11
Q

Simple random sampling

A

Probability of selection is the same for all members

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12
Q

Systematic sampling

A

Order population randomly, select every nth member

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13
Q

Stratified sampling

A

Create mutually exclusive & collectively exhaustive subsets then sample randomly from each

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14
Q

Cluster sampling

A

Create mutually exclusive & collectively exhaustive subsets then randomly select subsets

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15
Q

4 ways of non-probability sampling (CPQS)

A

Convenience
Purposive
Quota
Snowball

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16
Q

Convenience sampling

A

Select participants who are easily accessible

17
Q

Purposive sampling

A

Select participants using research’s best judgement about representativeness

18
Q

Quota sampling

A

Select participants based on variables of interest

19
Q

Snowball sampling

A

Select initial participants in some manner; ask initial participants for referrals for more participants

20
Q

Skewed population

A

Distribution has a long tail on one end and a short tail on the other - leads to inaccurate results

21
Q

Surrogate measure

A

Some easily determined characteristic of each population member is used to help partition or separate the population members into their various subgroupings