方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 比例便利抽样× | 简单随机抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Mid-20th century onward | Early 20th century; systematized by Cochran 1953/1977 |
| 提出者≠ | Developed within mainstream sampling methodology; no single originator | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| 类型≠ | Non-probability sampling with proportional allocation constraint | Probability sampling design |
| 开创性文献≠ | Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217. link ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名 | quota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCS | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| 相关≠ | 4 | 6 |
| 摘要≠ | Proportional convenience sampling is a non-probability technique that recruits participants through convenience while constraining each subgroup's share in the final sample to match its known proportion in the target population. It trades pure random selection for feasibility, but partially compensates by ensuring the sample's compositional profile mirrors the population on one or more key variables such as gender, age group, or academic year. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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