Module #5: Sampling Designs Flashcards

1
Q

Define what the Target Population is.

A

The target (ideal population) is the entire group of individuals that the researcher wants to research.

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2
Q

Define what the Accessible Population is.

A

The accessible (realistic) population, also known as the “sample frame” is the population that is realistically accessible to the researcher

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3
Q

Define what the sample is.

A

The sample is the final portion of the population that became accessible as participants in the research

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4
Q

What does it mean for a sample to be representative?

A

In quantitative designs (including survey research) this refers to the ability for the smaller sample to be representative or generalizable to our larger target population.

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5
Q

What are the two main categories of sampling? Which sample type falls under each type?

A

Probability Sampling (random) and Non Probability Sampling (non random).

Probability Sampling (Simple Random Sampling, Stratified Sampling, Cluster Sampling)

Non Probability (Snowball, Purposive, and Convenience)

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6
Q

Describe Simple Random Sampling.

Example.

A

Each member of the population has an equal and independent chance of being selected.

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7
Q

Describe Stratified Random Sampling.

Example.

A

Members are randomly selected from certain subgroups (or strata) as they exist in the population.

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8
Q

Describe Cluster Random Sampling.

Example.

A

Random selection of entire groups of participants rather than of individuals

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9
Q

Describe Systemic Sampling.

What would make this a probability sample?

Example.

A

Sampling of every Nth individual is selected from a list.

If the selection process or the list of the population is randomly ordered, than it can be considered a probability sample.

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10
Q

Describe Convenience Sampling

Example.

A

Selected non randomly from the target population; whoever happens to be available.

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11
Q

Describe Snowball Sampling

Example.

A

A small group of participants are selected an are asked to refer others to participate.

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12
Q

Describe Purposive Sampling

Example.

A

Participants are selected and screened for specific characteristics before being included in the sample; they are selected based on the belief that they are representative of the population.

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