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Question

What type of sampling procedure is it if ‘researcher makes decision based on sample characteristics’ ?

This question was previously asked in
MH SET 2021 Paper 2 Mathematical Science Question Paper (26-Sep-2021)
The correct answer is

Purposive

Sampling procedures are grouped by how units enter the sample: by chance (probability methods) or by the researcher's choice (non-probability methods).

When the researcher deliberately picks units because they possess characteristics that suit the purpose of the study, the method is purposive (judgmental) sampling; the researcher's judgement about sample characteristics drives every selection.

Incidental (accidental or convenience) sampling simply takes whoever happens to be available, with no judgement about characteristics.

Random sampling gives every unit a known, equal chance of selection, so the researcher makes no decision about individual units.

Quota sampling fixes the number of units per category (for example age or gender) and then fills each quota by convenience, so it is driven by proportions, not by judging each unit's suitability.

Hence, Purposive.

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