Which sampling method selects the first case encountered for inclusion in the sample?

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Multiple Choice

Which sampling method selects the first case encountered for inclusion in the sample?

Explanation:
The main concept here is selecting participants based on what is readily available, without a planned random process. This is known as accidental or convenience sampling—choose the first case you encounter and include them because they’re handy. This approach is quick and easy, but it tends to bias results because the sample may not reflect the broader population. It doesn’t use a random or systematic method to ensure each member of the population has an equal chance of being included. The other methods don’t fit because they involve intentional criteria or procedures: purposive sampling selects individuals with specific characteristics for a purpose; quota sampling fills predefined subgroup numbers to mirror a population; simple random sampling uses randomness so every individual has an equal chance of selection.

The main concept here is selecting participants based on what is readily available, without a planned random process. This is known as accidental or convenience sampling—choose the first case you encounter and include them because they’re handy.

This approach is quick and easy, but it tends to bias results because the sample may not reflect the broader population. It doesn’t use a random or systematic method to ensure each member of the population has an equal chance of being included.

The other methods don’t fit because they involve intentional criteria or procedures: purposive sampling selects individuals with specific characteristics for a purpose; quota sampling fills predefined subgroup numbers to mirror a population; simple random sampling uses randomness so every individual has an equal chance of selection.

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