Sampling methods

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Last updated 7:49 PM on 5/6/24
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21 Terms

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Voluntary sample

A group of people who choose to participate in a survey on their own.

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Convenience sample

A sample composed of easily accessible individuals.

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Simple random sampling

A method where all possible samples of n objects have an equal chance of being selected.

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Stratified sampling

Dividing the population into groups based on a characteristic, then taking a Simple Random Sample (SRS) from each group.

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Cluster sampling

Assigning each member of the population to a group (cluster) and selecting clusters using SRS for surveying.

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Difference between cluster sampling and stratified sampling

In stratified sampling, subjects are chosen from each group, while in cluster sampling, subjects are only selected from sampled clusters.

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Multistage sampling

Selecting a sample using a combination of different sampling methods.

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Systematic random sampling

Selecting every kth subject from a list of the population after choosing the first sample element randomly.

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Experimental Unit or Subject

Individuals on whom the experiment is conducted.

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Factor

The explanatory variables in a study.

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Treatment

The condition applied to the subjects in an experiment.

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Control

Steps taken to minimize the effects of variables other than the independent and dependent variables.

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Control group

A group that does not receive any treatment in an experiment.

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Placebo

A fake treatment given to subjects in an experiment.

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Blinding

Keeping subjects unaware of whether they receive the treatment or placebo.

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Randomization

Using chance methods to assign subjects to treatments in an experiment.

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Replication

Assigning each treatment to multiple experimental subjects to ensure reliability.

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Bias

Systematically favoring one outcome over another in a study.

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Completely randomized design

Randomly assigning subjects to different treatments in an experiment.

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Randomized block design

Dividing subjects into blocks and then randomly assigning them to treatments within each block to reduce variability.

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Matched pairs design

Pairing subjects based on a blocking variable and randomly assigning treatments within each pair.