Exam 2: Sampling Flashcards

1
Q

What is a population in research?

A

The entire set of people or products in which a researcher is interested.

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2
Q

What is a sample?

A

A smaller subset taken from a population for study.

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3
Q

What is a biased sample?

A

A sample where some members have a higher chance of being selected than others.

Causes: only sampling those who are easy to contact, or able to be contacted at all, or only those who invite themselves

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4
Q

What is a representative sample?

A

A sample where all members of a population have an equal chance of being included.

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5
Q

What is probability sampling?

A

Also called random sampling; every member of a population has an equal chance of selection.

cluster and multi-stage sampling

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6
Q

What is stratified random sampling?

A

A sampling method where researchers select a certain demographic category and then randomly sample within that category.

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7
Q

What is convenience sampling?

A

A non-representative sampling method where researchers sample those easiest to access.

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8
Q

What is snowball sampling?

A

A non-representative sampling method where participants recruit others, often used for hard-to-reach populations.

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9
Q

Does a bigger sample always mean better results?

A

No, the method of selection is more important than the sample size.

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10
Q

oversampling

A

A variation of stratified random sampling.

Intentionally overrepresent one or more groups and then weight them in the final analysis

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11
Q

simple random sampling

A

Draw names out of a hat where whole population is included

Random number generator/computer program

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12
Q

systematic sampling

A

Pick two numbers at random

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13
Q

is random assignment the same as random sampling?

A

NO

Random sampling enhances external validity

Random assignment enhances internal validity

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14
Q

cluster sampling

A

a probability sampling method in which a population is divided into groups (clusters), and a random selection of entire clusters is studied instead of selecting individuals directly.

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