Beyond the claim of random sampling
Probability sampling involves selecting individuals so that everyone in the population has a known and equal chance of being chosen, usually through randomization methods such as random number tables or computer-generated sequences to ensure a representative sample. In contrast, non-probability samp...
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| Format: | Monograph |
| Language: | en |
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Universiti Teknologi MARA, Negeri Sembilan
2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/132056/1/132056.pdf https://ir.uitm.edu.my/id/eprint/132056/ |
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| Summary: | Probability sampling involves selecting individuals so that everyone in the population has a known and equal chance of being chosen, usually through randomization methods such as random number tables or computer-generated sequences to ensure a representative sample. In contrast, non-probability sampling selects participants based on convenience, judgment, or specific criteria, making it easier to conduct but less representative. In research, the term “random” has a strict meaning, although it is sometimes used loosely when the actual method is closer to non-probability sampling. This discussion highlights stratified sampling and quota sampling, which aim to represent important subgroups within a population. |
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