Perlukah menghitung ukuran sampel?

B. Murti
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Abstract

Sample size is an issue worth-considering but not the most essential thing to fulfil for a good research. A much more crucial cause of concern to any research is the validity of inference a research is drawing, i.e. the extent to which the research is able to control systematic error that stems from bias and confounding. Sample size refers to random error; it does not address nor correct systematic error. The larger sample size, the less random error, the more precise estimates a research can yield about difference/ association/ effect of a variable(s). Most of the assignment of values in any sample size formula is arbitrary. As such, the product of estimating sample size, regardless of the formula being used,  cannot be viewed as an absolute end; the actual sample size can be larger or smaller than the estimated one. Beyond statistical aspect, several other important factors should be considered when estimating sample size, such as ethics, cost, and the amount oftime available for conducting the research.
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我们需要计算样本的大小吗?
样本量是一个值得考虑的问题,但并不是完成一项好的研究的最重要的事情。对于任何研究来说,一个更重要的问题是研究得出的结论的有效性,即研究能够控制由偏见和混淆引起的系统误差的程度。样本量指随机误差;它既不解决也不纠正系统错误。样本量越大,随机误差越小,研究对一个变量的差异/关联/影响的估计就越精确。在任何样本量公式中,大多数值的赋值都是任意的。因此,不论使用何种公式,估计样本数量的结果都不能视为绝对的结果;实际样本量可能大于或小于估计样本量。除了统计方面,在估计样本量时还应考虑其他几个重要因素,如伦理、成本和进行研究的可用时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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